class Legend(Artist):
"""
Place a legend on the axes at location loc. Labels are a
sequence of strings and loc can be a string or an integer
specifying the legend location
The location codes are::
'best' : 0, (only implemented for axis legends)
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
loc can be a tuple of the noramilzed coordinate values with
respect its parent.
Return value is a sequence of text, line instances that make
up the legend
"""
codes = {
'best': 0, # only implemented for axis legends
'upper right': 1,
'upper left': 2,
'lower left': 3,
'lower right': 4,
'right': 5,
'center left': 6,
'center right': 7,
'lower center': 8,
'upper center': 9,
'center': 10,
}
zorder = 5
def __str__(self):
return "Legend"
def __init__(
self,
parent,
handles,
labels,
loc=None,
numpoints=None, # the number of points in the legend line
markerscale=None, # the relative size of legend markers vs. original
scatterpoints=3, # TODO: may be an rcParam
scatteryoffsets=None,
prop=None, # properties for the legend texts
# the following dimensions are in axes coords
pad=None, # deprecated; use borderpad
labelsep=None, # deprecated; use labelspacing
handlelen=None, # deprecated; use handlelength
handletextsep=None, # deprecated; use handletextpad
axespad=None, # deprecated; use borderaxespad
# spacing & pad defined as a fraction of the font-size
borderpad=None, # the whitespace inside the legend border
labelspacing=None, #the vertical space between the legend entries
handlelength=None, # the length of the legend handles
handletextpad=None, # the pad between the legend handle and text
borderaxespad=None, # the pad between the axes and legend border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns. None, "expand"
fancybox=None, # True use a fancy box, false use a rounded box, none use rc
shadow=None,
title=None, # set a title for the legend
bbox_to_anchor=None, # bbox that the legend will be anchored.
bbox_transform=None, # transform for the bbox
frameon=True, # draw frame
):
"""
- *parent* : the artist that contains the legend
- *handles* : a list of artists (lines, patches) to add to the legend
- *labels* : a list of strings to label the legend
Optional keyword arguments:
================ ==================================================================
Keyword Description
================ ==================================================================
loc a location code
prop the font property
markerscale the relative size of legend markers vs. original
numpoints the number of points in the legend for line
scatterpoints the number of points in the legend for scatter plot
scatteryoffsets a list of yoffsets for scatter symbols in legend
frameon if True, draw a frame (default is True)
fancybox if True, draw a frame with a round fancybox. If None, use rc
shadow if True, draw a shadow behind legend
ncol number of columns
borderpad the fractional whitespace inside the legend border
labelspacing the vertical space between the legend entries
handlelength the length of the legend handles
handletextpad the pad between the legend handle and text
borderaxespad the pad between the axes and legend border
columnspacing the spacing between columns
title the legend title
bbox_to_anchor the bbox that the legend will be anchored.
bbox_transform the transform for the bbox. transAxes if None.
================ ==================================================================
The pad and spacing parameters are measure in font-size units. E.g.,
a fontsize of 10 points and a handlelength=5 implies a handlelength of
50 points. Values from rcParams will be used if None.
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
from matplotlib.axes import Axes # local import only to avoid circularity
from matplotlib.figure import Figure # local import only to avoid circularity
Artist.__init__(self)
if prop is None:
self.prop = FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop = FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop = prop
self._fontsize = self.prop.get_size_in_points()
propnames = [
'numpoints', 'markerscale', 'shadow', "columnspacing",
"scatterpoints"
]
self.texts = []
self.legendHandles = []
self._legend_title_box = None
localdict = locals()
for name in propnames:
if localdict[name] is None:
value = rcParams["legend." + name]
else:
value = localdict[name]
setattr(self, name, value)
# Take care the deprecated keywords
deprecated_kwds = {
"pad": "borderpad",
"labelsep": "labelspacing",
"handlelen": "handlelength",
"handletextsep": "handletextpad",
"axespad": "borderaxespad"
}
# convert values of deprecated keywords (ginve in axes coords)
# to new vaules in a fraction of the font size
# conversion factor
bbox = parent.bbox
axessize_fontsize = min(bbox.width, bbox.height) / self._fontsize
for k, v in deprecated_kwds.items():
# use deprecated value if not None and if their newer
# counter part is None.
if localdict[k] is not None and localdict[v] is None:
warnings.warn("Use '%s' instead of '%s'." % (v, k),
DeprecationWarning)
setattr(self, v, localdict[k] * axessize_fontsize)
continue
# Otherwise, use new keywords
if localdict[v] is None:
setattr(self, v, rcParams["legend." + v])
else:
setattr(self, v, localdict[v])
del localdict
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be >= 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = int(self.scatterpoints / len(self._scatteryoffsets)) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.set_axes(parent)
self.set_figure(parent.figure)
elif isinstance(parent, Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if is_string_like(loc):
if loc not in self.codes:
if self.isaxes:
warnings.warn(
'Unrecognized location "%s". Falling back on "best"; '
'valid locations are\n\t%s\n' %
(loc, '\n\t'.join(self.codes.keys())))
loc = 0
else:
warnings.warn(
'Unrecognized location "%s". Falling back on "upper right"; '
'valid locations are\n\t%s\n' %
(loc, '\n\t'.join(self.codes.keys())))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
warnings.warn(
'Automatic legend placement (loc="best") not implemented for figure legend. '
'Falling back on "upper right".')
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
self.legendPatch = FancyBboxPatch(xy=(0.0, 0.0),
width=1.,
height=1.,
facecolor=rcParams["axes.facecolor"],
edgecolor=rcParams["axes.edgecolor"],
mutation_scale=self._fontsize,
snap=True)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox == True:
self.legendPatch.set_boxstyle("round", pad=0, rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square", pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
# init with null renderer
self._init_legend_box(handles, labels)
self._loc = loc
self.set_title(title)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
set the boilerplate props for artists added to axes
"""
a.set_figure(self.figure)
if self.isaxes:
a.set_axes(self.axes)
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_real = loc
if loc == 0:
_findoffset = self._findoffset_best
else:
_findoffset = self._findoffset_loc
#def findoffset(width, height, xdescent, ydescent):
# return _findoffset(width, height, xdescent, ydescent, renderer)
self._legend_box.set_offset(_findoffset)
self._loc_real = loc
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset_best(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend at its best position"
ox, oy = self._find_best_position(width, height, renderer)
return ox + xdescent, oy + ydescent
def _findoffset_loc(self, width, height, xdescent, ydescent, renderer):
"Heper function to locate the legend using the location code"
if iterable(self._loc) and len(self._loc) == 2:
# when loc is a tuple of axes(or figure) coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
else:
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(), renderer)
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend"
if not self.get_visible(): return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the paret (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
if self._drawFrame:
# update the location and size of the legend
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0, bbox.width,
bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
height = self._approx_text_height() * 0.7
descent = 0.
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
for handle, lab in zip(handles, labels):
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
npoints = self.scatterpoints
else:
npoints = self.numpoints
if npoints > 1:
# we put some pad here to compensate the size of the
# marker
xdata = np.linspace(0.3 * fontsize,
(self.handlelength - 0.3) * fontsize,
npoints)
xdata_marker = xdata
elif npoints == 1:
xdata = np.linspace(0, self.handlelength * fontsize, 2)
xdata_marker = [0.5 * self.handlelength * fontsize]
if isinstance(handle, Line2D):
ydata = ((height - descent) / 2.) * np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
legline.update_from(handle)
self._set_artist_props(legline) # after update
legline.set_clip_box(None)
legline.set_clip_path(None)
legline.set_drawstyle('default')
legline.set_marker('None')
handle_list.append(legline)
legline_marker = Line2D(xdata_marker,
ydata[:len(xdata_marker)])
legline_marker.update_from(handle)
self._set_artist_props(legline_marker)
legline_marker.set_clip_box(None)
legline_marker.set_clip_path(None)
legline_marker.set_linestyle('None')
if self.markerscale != 1:
newsz = legline_marker.get_markersize() * self.markerscale
legline_marker.set_markersize(newsz)
# we don't want to add this to the return list because
# the texts and handles are assumed to be in one-to-one
# correpondence.
legline._legmarker = legline_marker
elif isinstance(handle, Patch):
p = Rectangle(
xy=(0., 0.),
width=self.handlelength * fontsize,
height=(height - descent),
)
p.update_from(handle)
self._set_artist_props(p)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, LineCollection):
ydata = ((height - descent) / 2.) * np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
if dashes[0] is not None: # dashed line
legline.set_dashes(dashes[1])
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
#ydata = self._scatteryoffsets
ydata = height * self._scatteryoffsets
size_max, size_min = max(handle.get_sizes())*self.markerscale**2,\
min(handle.get_sizes())*self.markerscale**2
if self.scatterpoints < 4:
sizes = [.5 * (size_max + size_min), size_max, size_min]
else:
sizes = (size_max - size_min) * np.linspace(
0, 1, self.scatterpoints) + size_min
p = type(handle)(
handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker, ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, CircleCollection):
ydata = height * self._scatteryoffsets
size_max, size_min = max(handle.get_sizes())*self.markerscale**2,\
min(handle.get_sizes())*self.markerscale**2
if self.scatterpoints < 4:
sizes = [.5 * (size_max + size_min), size_max, size_min]
else:
sizes = (size_max - size_min) * np.linspace(
0, 1, self.scatterpoints) + size_min
p = type(handle)(
sizes,
offsets=zip(xdata_marker, ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_type = type(handle)
warnings.warn(
"Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n"
% (str(handle_type), ))
handle_list.append(None)
handle = handle_list[-1]
if handle is not None: # handle is None is the artist is not supproted
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
handlebox.add_artist(handle)
# special case for collection instances
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
handle._transOffset = handlebox.get_transform()
handle.set_transform(None)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(
range(0, num_largecol * (nrows + 1), (nrows + 1)),
[nrows + 1] * num_largecol)
smallcol = safezip(
range(num_largecol * (nrows + 1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol + smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t],
align="baseline") for h, t in handle_label[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
assert self.isaxes # should always hold because function is only called internally
ax = self.parent
vertices = []
bboxes = []
lines = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
return [vertices, bboxes, lines]
def draw_frame(self, b):
'b is a boolean. Set draw frame to b'
self.set_frame_on(b)
def get_children(self):
'return a list of child artists'
children = []
if self._legend_box:
children.append(self._legend_box)
children.extend(self.get_lines())
children.extend(self.get_patches())
children.extend(self.get_texts())
children.append(self.get_frame())
if self._legend_title_box:
children.append(self.get_title())
return children
def get_frame(self):
'return the Rectangle instance used to frame the legend'
return self.legendPatch
def get_lines(self):
'return a list of lines.Line2D instances in the legend'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'return a list of patch instances in the legend'
return silent_list(
'Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
'return a list of text.Text instance in the legend'
return silent_list('Text', self.texts)
def set_title(self, title):
'set the legend title'
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box.set_visible(True)
else:
self._legend_title_box.set_visible(False)
def get_title(self):
'return Text instance for the legend title'
return self._legend_title_box._text
def get_window_extent(self):
'return a extent of the the legend'
return self.legendPatch.get_window_extent()
def get_frame_on(self):
"""
Get whether the legend box patch is drawn
"""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn
ACCEPTS: [ *True* | *False* ]
"""
self._drawFrame = b
def get_bbox_to_anchor(self):
"""
return the bbox that the legend will be anchored
"""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
set the bbox that the legend will be anchored.
*bbox* can be a BboxBase instance, a tuple of [left, bottom,
width, height] in the given transform (normalized axes
coordinate if None), or a tuple of [left, bottom] where the
width and height will be assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor, transform)
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding "best".
- bbox: bbox to be placed, display coodinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1, 11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = range(11)
anchor_coefs = {
UR: "NE",
UL: "NW",
LL: "SW",
LR: "SE",
R: "E",
CL: "W",
CR: "E",
LC: "S",
UC: "N",
C: "C"
}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
assert self.isaxes # should always hold because function is only called internally
verts, bboxes, lines = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
consider = [
self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))
]
#tx, ty = self.legendPatch.get_x(), self.legendPatch.get_y()
candidates = []
for l, b in consider:
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
badness = legendBox.count_contains(verts)
badness += legendBox.count_overlaps(bboxes)
for line in lines:
if line.intersects_bbox(legendBox):
badness += 1
ox, oy = l, b
if badness == 0:
return ox, oy
candidates.append((badness, (l, b)))
# rather than use min() or list.sort(), do this so that we are assured
# that in the case of two equal badnesses, the one first considered is
# returned.
# NOTE: list.sort() is stable.But leave as it is for now. -JJL
minCandidate = candidates[0]
for candidate in candidates:
if candidate[0] < minCandidate[0]:
minCandidate = candidate
ox, oy = minCandidate[1]
return ox, oy
def draggable(self, state=None, use_blit=False):
"""
Set the draggable state -- if state is
* None : toggle the current state
* True : turn draggable on
* False : turn draggable off
If draggable is on, you can drag the legend on the canvas with
the mouse. The DraggableLegend helper instance is returned if
draggable is on.
"""
is_draggable = self._draggable is not None
# if state is None we'll toggle
if state is None:
state = not is_draggable
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self, use_blit)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
class Legend(Artist):
"""
Place a legend on the axes at location loc.
"""
codes = {
'best': 0, # only implemented for axes legends
'upper right': 1,
'upper left': 2,
'lower left': 3,
'lower right': 4,
'right': 5,
'center left': 6,
'center right': 7,
'lower center': 8,
'upper center': 9,
'center': 10,
}
zorder = 5
def __str__(self):
return "Legend"
@docstring.dedent_interpd
def __init__(
self,
parent,
handles,
labels,
loc=None,
numpoints=None, # the number of points in the legend line
markerscale=None, # the relative size of legend markers
# vs. original
markerfirst=True, # controls ordering (left-to-right) of
# legend marker and label
scatterpoints=None, # number of scatter points
scatteryoffsets=None,
prop=None, # properties for the legend texts
fontsize=None, # keyword to set font size directly
# spacing & pad defined as a fraction of the font-size
borderpad=None, # the whitespace inside the legend border
labelspacing=None, # the vertical space between the legend
# entries
handlelength=None, # the length of the legend handles
handleheight=None, # the height of the legend handles
handletextpad=None, # the pad between the legend handle
# and text
borderaxespad=None, # the pad between the axes and legend
# border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns.
# None, "expand"
fancybox=None, # True use a fancy box, false use a rounded
# box, none use rc
shadow=None,
title=None, # set a title for the legend
title_fontsize=None, # set to ax.fontsize if None
framealpha=None, # set frame alpha
edgecolor=None, # frame patch edgecolor
facecolor=None, # frame patch facecolor
bbox_to_anchor=None, # bbox that the legend will be anchored.
bbox_transform=None, # transform for the bbox
frameon=None, # draw frame
handler_map=None,
):
"""
Parameters
----------
parent : `~matplotlib.axes.Axes` or `.Figure`
The artist that contains the legend.
handles : list of `.Artist`
A list of Artists (lines, patches) to be added to the legend.
labels : list of str
A list of labels to show next to the artists. The length of handles
and labels should be the same. If they are not, they are truncated
to the smaller of both lengths.
Other Parameters
----------------
%(_legend_kw_doc)s
Notes
-----
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
# local import only to avoid circularity
from matplotlib.axes import Axes
from matplotlib.figure import Figure
Artist.__init__(self)
if prop is None:
if fontsize is not None:
self.prop = FontProperties(size=fontsize)
else:
self.prop = FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop = FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop = prop
self._fontsize = self.prop.get_size_in_points()
self.texts = []
self.legendHandles = []
self._legend_title_box = None
#: A dictionary with the extra handler mappings for this Legend
#: instance.
self._custom_handler_map = handler_map
locals_view = locals()
for name in [
"numpoints", "markerscale", "shadow", "columnspacing",
"scatterpoints", "handleheight", 'borderpad', 'labelspacing',
'handlelength', 'handletextpad', 'borderaxespad'
]:
if locals_view[name] is None:
value = rcParams["legend." + name]
else:
value = locals_view[name]
setattr(self, name, value)
del locals_view
# trim handles and labels if illegal label...
_lab, _hand = [], []
for label, handle in zip(labels, handles):
if isinstance(label, str) and label.startswith('_'):
cbook._warn_external('The handle {!r} has a label of {!r} '
'which cannot be automatically added to'
' the legend.'.format(handle, label))
else:
_lab.append(label)
_hand.append(handle)
labels, handles = _lab, _hand
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = self.scatterpoints // len(self._scatteryoffsets) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.axes = parent
self.set_figure(parent.figure)
elif isinstance(parent, Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
self._loc_used_default = loc is None
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if isinstance(loc, str):
if loc not in self.codes:
if self.isaxes:
cbook.warn_deprecated(
"3.1",
message="Unrecognized location {!r}. Falling "
"back on 'best'; valid locations are\n\t{}\n"
"This will raise an exception %(removal)s.".format(
loc, '\n\t'.join(self.codes)))
loc = 0
else:
cbook.warn_deprecated(
"3.1",
message="Unrecognized location {!r}. Falling "
"back on 'upper right'; valid locations are\n\t{}\n'"
"This will raise an exception %(removal)s.".format(
loc, '\n\t'.join(self.codes)))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
cbook.warn_deprecated(
"3.1",
message="Automatic legend placement (loc='best') not "
"implemented for figure legend. Falling back on 'upper "
"right'. This will raise an exception %(removal)s.")
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
if facecolor is None:
facecolor = rcParams["legend.facecolor"]
if facecolor == 'inherit':
facecolor = rcParams["axes.facecolor"]
if edgecolor is None:
edgecolor = rcParams["legend.edgecolor"]
if edgecolor == 'inherit':
edgecolor = rcParams["axes.edgecolor"]
self.legendPatch = FancyBboxPatch(xy=(0.0, 0.0),
width=1.,
height=1.,
facecolor=facecolor,
edgecolor=edgecolor,
mutation_scale=self._fontsize,
snap=True)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox:
self.legendPatch.set_boxstyle("round", pad=0, rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square", pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
if frameon is None:
self._drawFrame = rcParams["legend.frameon"]
# init with null renderer
self._init_legend_box(handles, labels, markerfirst)
# If shadow is activated use framealpha if not
# explicitly passed. See Issue 8943
if framealpha is None:
if shadow:
self.get_frame().set_alpha(1)
else:
self.get_frame().set_alpha(rcParams["legend.framealpha"])
else:
self.get_frame().set_alpha(framealpha)
tmp = self._loc_used_default
self._set_loc(loc)
self._loc_used_default = tmp # ignore changes done by _set_loc
# figure out title fontsize:
if title_fontsize is None:
title_fontsize = rcParams['legend.title_fontsize']
tprop = FontProperties(size=title_fontsize)
self.set_title(title, prop=tprop)
self._draggable = None
def _set_artist_props(self, a):
"""
Set the boilerplate props for artists added to axes.
"""
a.set_figure(self.figure)
if self.isaxes:
# a.set_axes(self.axes)
a.axes = self.axes
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_used_default = False
self._loc_real = loc
self.stale = True
self._legend_box.set_offset(self._findoffset)
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend."
if self._loc == 0: # "best".
x, y = self._find_best_position(width, height, renderer)
elif self._loc in Legend.codes.values(): # Fixed location.
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(), renderer)
else: # Axes or figure coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend."
if not self.get_visible():
return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the parent (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
# update the location and size of the legend. This needs to
# be done in any case to clip the figure right.
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0, bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self._drawFrame:
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
self.stale = False
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer:
legend_handler.HandlerStem(),
ErrorbarContainer:
legend_handler.HandlerErrorbar(),
Line2D:
legend_handler.HandlerLine2D(),
Patch:
legend_handler.HandlerPatch(),
LineCollection:
legend_handler.HandlerLineCollection(),
RegularPolyCollection:
legend_handler.HandlerRegularPolyCollection(),
CircleCollection:
legend_handler.HandlerCircleCollection(),
BarContainer:
legend_handler.HandlerPatch(
update_func=legend_handler.update_from_first_child),
tuple:
legend_handler.HandlerTuple(),
PathCollection:
legend_handler.HandlerPathCollection(),
PolyCollection:
legend_handler.HandlerPolyCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the default handler map.
@classmethod
def get_default_handler_map(cls):
"""
A class method that returns the default handler map.
"""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""
A class method to set the default handler map.
"""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""
A class method to update the default handler map.
"""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""
Return the handler map.
"""
default_handler_map = self.get_default_handler_map()
if self._custom_handler_map:
hm = default_handler_map.copy()
hm.update(self._custom_handler_map)
return hm
else:
return default_handler_map
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
Return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_handler_map* and return the associated value.
Otherwise, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns ``None``.
"""
try:
return legend_handler_map[orig_handle]
except (TypeError, KeyError): # TypeError if unhashable.
pass
for handle_type in type(orig_handle).mro():
try:
return legend_handler_map[handle_type]
except KeyError:
pass
return None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
handles_and_labels = []
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_transform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
cbook._warn_external(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#creating-artists-specifically-for-adding-to-the-legend-"
"aka-proxy-artists".format(orig_handle))
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
text_list.append(textbox._text)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(
handler.legend_artist(self, orig_handle, fontsize,
handlebox))
handles_and_labels.append((handlebox, textbox))
if handles_and_labels:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handles_and_labels))
nrows, num_largecol = divmod(len(handles_and_labels), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline")
for h, t in handles_and_labels[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
# should always hold because function is only called internally
assert self.isaxes
ax = self.parent
bboxes = []
lines = []
offsets = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
for handle in ax.collections:
transform, transOffset, hoffsets, paths = handle._prepare_points()
if len(hoffsets):
for offset in transOffset.transform(hoffsets):
offsets.append(offset)
try:
vertices = np.concatenate([l.vertices for l in lines])
except ValueError:
vertices = np.array([])
return [vertices, bboxes, lines, offsets]
def draw_frame(self, b):
'''
Set draw frame to b.
Parameters
----------
b : bool
'''
self.set_frame_on(b)
def get_children(self):
'Return a list of child artists.'
children = []
if self._legend_box:
children.append(self._legend_box)
children.append(self.get_frame())
return children
def get_frame(self):
'''
Return the `~.patches.Rectangle` instances used to frame the legend.
'''
return self.legendPatch
def get_lines(self):
'Return a list of `~.lines.Line2D` instances in the legend.'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'Return a list of `~.patches.Patch` instances in the legend.'
return silent_list(
'Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
'Return a list of `~.text.Text` instances in the legend.'
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
Set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box._text.set_visible(True)
self._legend_title_box.set_visible(True)
else:
self._legend_title_box._text.set_visible(False)
self._legend_title_box.set_visible(False)
if prop is not None:
if isinstance(prop, dict):
prop = FontProperties(**prop)
self._legend_title_box._text.set_fontproperties(prop)
self.stale = True
def get_title(self):
'Return the `.Text` instance for the legend title.'
return self._legend_title_box._text
def get_window_extent(self, renderer=None):
'Return extent of the legend.'
if renderer is None:
renderer = self.figure._cachedRenderer
return self._legend_box.get_window_extent(renderer=renderer)
def get_tightbbox(self, renderer):
"""
Like `.Legend.get_window_extent`, but uses the box for the legend.
Parameters
----------
renderer : `.RendererBase` instance
renderer that will be used to draw the figures (i.e.
``fig.canvas.get_renderer()``)
Returns
-------
`.BboxBase` : containing the bounding box in figure pixel co-ordinates.
"""
return self._legend_box.get_window_extent(renderer)
def get_frame_on(self):
"""Get whether the legend box patch is drawn."""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn.
Parameters
----------
b : bool
"""
self._drawFrame = b
self.stale = True
def get_bbox_to_anchor(self):
"""Return the bbox that the legend will be anchored to."""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
Set the bbox that the legend will be anchored to.
*bbox* can be
- A `.BboxBase` instance
- A tuple of ``(left, bottom, width, height)`` in the given transform
(normalized axes coordinate if None)
- A tuple of ``(left, bottom)`` where the width and height will be
assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor, transform)
self.stale = True
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x, y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding
"best".
- bbox: bbox to be placed, display coordinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1, 11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = range(11)
anchor_coefs = {
UR: "NE",
UL: "NW",
LL: "SW",
LR: "SE",
R: "E",
CL: "W",
CR: "E",
LC: "S",
UC: "N",
C: "C"
}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
*consider* is a list of ``(x, y)`` pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
# should always hold because function is only called internally
assert self.isaxes
verts, bboxes, lines, offsets = self._auto_legend_data()
if self._loc_used_default and verts.shape[0] > 200000:
# this size results in a 3+ second render time on a good machine
cbook._warn_external(
'Creating legend with loc="best" can be slow with large '
'amounts of data.')
bbox = Bbox.from_bounds(0, 0, width, height)
if consider is None:
consider = [
self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))
]
candidates = []
for idx, (l, b) in enumerate(consider):
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
# XXX TODO: If markers are present, it would be good to
# take them into account when checking vertex overlaps in
# the next line.
badness = (legendBox.count_contains(verts) +
legendBox.count_contains(offsets) +
legendBox.count_overlaps(bboxes) + sum(
line.intersects_bbox(legendBox, filled=False)
for line in lines))
if badness == 0:
return l, b
# Include the index to favor lower codes in case of a tie.
candidates.append((badness, idx, (l, b)))
_, _, (l, b) = min(candidates)
return l, b
def contains(self, event):
inside, info = self._default_contains(event)
if inside is not None:
return inside, info
return self.legendPatch.contains(event)
def set_draggable(self, state, use_blit=False, update='loc'):
"""
Enable or disable mouse dragging support of the legend.
Parameters
----------
state : bool
Whether mouse dragging is enabled.
use_blit : bool, optional
Use blitting for faster image composition. For details see
:ref:`func-animation`.
update : {'loc', 'bbox'}, optional
The legend parameter to be changed when dragged:
- 'loc': update the *loc* parameter of the legend
- 'bbox': update the *bbox_to_anchor* parameter of the legend
Returns
-------
If *state* is ``True`` this returns the `~.DraggableLegend` helper
instance. Otherwise this returns ``None``.
"""
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self,
use_blit,
update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def get_draggable(self):
"""Return ``True`` if the legend is draggable, ``False`` otherwise."""
return self._draggable is not None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with columns.
# Each column is a VPacker, vertically packed with legend items.
# Each legend item is a HPacker packed with:
# - handlebox: a DrawingArea which contains the legend handle.
# - labelbox: a TextArea which contains the legend text.
text_list = [] # the list of text instances
handle_list = [] # the list of handle instances
handles_and_labels = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * fontsize * (self.handleheight - 0.7) # heuristic.
height = fontsize * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_transform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, label in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
_api.warn_external(
"Legend does not support handles for {0} "
"instances.\nA proxy artist may be used "
"instead.\nSee: https://matplotlib.org/"
"stable/tutorials/intermediate/legend_guide.html"
"#controlling-the-legend-entries".format(
type(orig_handle).__name__))
# No handle for this artist, so we just defer to None.
handle_list.append(None)
else:
textbox = TextArea(label,
multilinebaseline=True,
textprops=dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop))
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
text_list.append(textbox._text)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(
handler.legend_artist(self, orig_handle, fontsize,
handlebox))
handles_and_labels.append((handlebox, textbox))
columnbox = []
# array_split splits n handles_and_labels into ncol columns, with the
# first n%ncol columns having an extra entry. filter(len, ...) handles
# the case where n < ncol: the last ncol-n columns are empty and get
# filtered out.
for handles_and_labels_column \
in filter(len, np.array_split(handles_and_labels, self._ncol)):
# pack handlebox and labelbox into itembox
itemboxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline") for h, t in handles_and_labels_column
]
# pack columnbox
alignment = "baseline" if markerfirst else "right"
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemboxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self._legend_box.axes = self.axes
self.texts = text_list
self.legendHandles = handle_list
if __name__ == '__main__':
main()
if False:
old_test()
if True:
fig, ax = plt.subplots()
# Define a 1st position to annotate (display it with a marker)
xy = (0.5, 0.7)
ax.plot(xy[0], xy[1], ".r")
# Annotate the 1st position with a text box ('Test 1')
offsetbox = TextArea("Test 1", minimumdescent=False)
ab = AnnotationBbox(offsetbox, xy,xybox=(-20, 40),xycoords='data',boxcoords="offset points",\
arrowprops=dict(arrowstyle="->"))
ax.add_artist(ab)
# Annotate the 1st position with another text box ('Test')
offsetbox = TextArea("Test", minimumdescent=False)
ab = AnnotationBbox(offsetbox, xy,xybox=(1.02, xy[1]),xycoords='data',boxcoords=("axes fraction", "data"),\
box_alignment=(0., 0.5),arrowprops=dict(arrowstyle="->"))
ax.add_artist(ab)
# Define a 2nd position to annotate (don't display with a marker this time)
xy = [0.3, 0.55]
class Legend(Artist):
"""
Place a legend on the axes at location loc. Labels are a
sequence of strings and loc can be a string or an integer
specifying the legend location
The location codes are::
'best' : 0, (only implemented for axis legends)
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
loc can be a tuple of the noramilzed coordinate values with
respect its parent.
"""
codes = {'best' : 0, # only implemented for axis legends
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
}
zorder = 5
def __str__(self):
return "Legend"
def __init__(self, parent, handles, labels,
loc = None,
numpoints = None, # the number of points in the legend line
markerscale = None, # the relative size of legend markers vs. original
scatterpoints = 3, # TODO: may be an rcParam
scatteryoffsets=None,
prop = None, # properties for the legend texts
# the following dimensions are in axes coords
pad = None, # deprecated; use borderpad
labelsep = None, # deprecated; use labelspacing
handlelen = None, # deprecated; use handlelength
handletextsep = None, # deprecated; use handletextpad
axespad = None, # deprecated; use borderaxespad
# spacing & pad defined as a fraction of the font-size
borderpad = None, # the whitespace inside the legend border
labelspacing=None, #the vertical space between the legend entries
handlelength=None, # the length of the legend handles
handleheight=None, # the height of the legend handles
handletextpad=None, # the pad between the legend handle and text
borderaxespad=None, # the pad between the axes and legend border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns. None, "expand"
fancybox=None, # True use a fancy box, false use a rounded box, none use rc
shadow = None,
title = None, # set a title for the legend
bbox_to_anchor = None, # bbox that the legend will be anchored.
bbox_transform = None, # transform for the bbox
frameon = None, # draw frame
handler_map = None,
):
"""
- *parent* : the artist that contains the legend
- *handles* : a list of artists (lines, patches) to be added to the legend
- *labels* : a list of strings to label the legend
Optional keyword arguments:
================ ==================================================================
Keyword Description
================ ==================================================================
loc a location code
prop the font property
markerscale the relative size of legend markers vs. original
numpoints the number of points in the legend for line
scatterpoints the number of points in the legend for scatter plot
scatteryoffsets a list of yoffsets for scatter symbols in legend
frameon if True, draw a frame around the legend. If None, use rc
fancybox if True, draw a frame with a round fancybox. If None, use rc
shadow if True, draw a shadow behind legend
ncol number of columns
borderpad the fractional whitespace inside the legend border
labelspacing the vertical space between the legend entries
handlelength the length of the legend handles
handleheight the length of the legend handles
handletextpad the pad between the legend handle and text
borderaxespad the pad between the axes and legend border
columnspacing the spacing between columns
title the legend title
bbox_to_anchor the bbox that the legend will be anchored.
bbox_transform the transform for the bbox. transAxes if None.
================ ==================================================================
The pad and spacing parameters are measured in font-size units. E.g.,
a fontsize of 10 points and a handlelength=5 implies a handlelength of
50 points. Values from rcParams will be used if None.
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
from matplotlib.axes import Axes # local import only to avoid circularity
from matplotlib.figure import Figure # local import only to avoid circularity
Artist.__init__(self)
if prop is None:
self.prop=FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop=FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop=prop
self._fontsize = self.prop.get_size_in_points()
propnames=['numpoints', 'markerscale', 'shadow', "columnspacing",
"scatterpoints", "handleheight"]
self.texts = []
self.legendHandles = []
self._legend_title_box = None
self._handler_map = handler_map
localdict = locals()
for name in propnames:
if localdict[name] is None:
value = rcParams["legend."+name]
else:
value = localdict[name]
setattr(self, name, value)
# Take care the deprecated keywords
deprecated_kwds = {"pad":"borderpad",
"labelsep":"labelspacing",
"handlelen":"handlelength",
"handletextsep":"handletextpad",
"axespad":"borderaxespad"}
# convert values of deprecated keywords (ginve in axes coords)
# to new vaules in a fraction of the font size
# conversion factor
bbox = parent.bbox
axessize_fontsize = min(bbox.width, bbox.height)/self._fontsize
for k, v in deprecated_kwds.iteritems():
# use deprecated value if not None and if their newer
# counter part is None.
if localdict[k] is not None and localdict[v] is None:
warnings.warn("Use '%s' instead of '%s'." % (v, k),
DeprecationWarning)
setattr(self, v, localdict[k]*axessize_fontsize)
continue
# Otherwise, use new keywords
if localdict[v] is None:
setattr(self, v, rcParams["legend."+v])
else:
setattr(self, v, localdict[v])
del localdict
handles = list(handles)
if len(handles)<2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d"% numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3./8., 4./8., 2.5/8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = int(self.scatterpoints / len(self._scatteryoffsets)) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets, reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent,Axes):
self.isaxes = True
self.set_axes(parent)
self.set_figure(parent.figure)
elif isinstance(parent,Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0,'best']:
loc = 'upper right'
if is_string_like(loc):
if loc not in self.codes:
if self.isaxes:
warnings.warn('Unrecognized location "%s". Falling back on "best"; '
'valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes.iterkeys())))
loc = 0
else:
warnings.warn('Unrecognized location "%s". Falling back on "upper right"; '
'valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes.iterkeys())))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
warnings.warn('Automatic legend placement (loc="best") not implemented for figure legend. '
'Falling back on "upper right".')
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
self.legendPatch = FancyBboxPatch(
xy=(0.0, 0.0), width=1., height=1.,
facecolor=rcParams["axes.facecolor"],
edgecolor=rcParams["axes.edgecolor"],
mutation_scale=self._fontsize,
snap=True
)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox == True:
self.legendPatch.set_boxstyle("round",pad=0,
rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square",pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
if frameon is None:
self._drawFrame = rcParams["legend.frameon"]
# init with null renderer
self._init_legend_box(handles, labels)
self._loc = loc
self.set_title(title)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
set the boilerplate props for artists added to axes
"""
a.set_figure(self.figure)
if self.isaxes:
a.set_axes(self.axes)
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_real = loc
if loc == 0:
_findoffset = self._findoffset_best
else:
_findoffset = self._findoffset_loc
#def findoffset(width, height, xdescent, ydescent):
# return _findoffset(width, height, xdescent, ydescent, renderer)
self._legend_box.set_offset(_findoffset)
self._loc_real = loc
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset_best(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend at its best position"
ox, oy = self._find_best_position(width, height, renderer)
return ox+xdescent, oy+ydescent
def _findoffset_loc(self, width, height, xdescent, ydescent, renderer):
"Heper function to locate the legend using the location code"
if iterable(self._loc) and len(self._loc)==2:
# when loc is a tuple of axes(or figure) coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
else:
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox, self.get_bbox_to_anchor(), renderer)
return x+xdescent, y+ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend"
if not self.get_visible(): return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the paret (minus pads)
if self._mode in ["expand"]:
pad = 2*(self.borderaxespad+self.borderpad)*fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width-pad)
if self._drawFrame:
# update the location and size of the legend
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0,
bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer:legend_handler.HandlerStem(),
ErrorbarContainer:legend_handler.HandlerErrorbar(),
Line2D:legend_handler.HandlerLine2D(),
Patch:legend_handler.HandlerPatch(),
LineCollection:legend_handler.HandlerLineCollection(),
RegularPolyCollection:legend_handler.HandlerRegularPolyCollection(),
CircleCollection:legend_handler.HandlerCircleCollection(),
BarContainer:legend_handler.HandlerPatch(update_func=legend_handler.update_from_first_child),
tuple:legend_handler.HandlerTuple(),
PathCollection:legend_handler.HandlerPathCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the defalut handler map.
@classmethod
def get_default_handler_map(cls):
"""
A class method that returns the default handler map.
"""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""
A class method to set the default handler map.
"""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""
A class method to update the default handler map.
"""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""
return the handler map.
"""
default_handler_map = self.get_default_handler_map()
if self._handler_map:
hm = default_handler_map.copy()
hm.update(self._handler_map)
return hm
else:
return default_handler_map
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_hanler_map* and return the associated value.
Otherwised, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns None.
"""
legend_handler_keys = legend_handler_map.keys()
if orig_handle in legend_handler_keys:
handler = legend_handler_map[orig_handle]
else:
for handle_type in type(orig_handle).mro():
if handle_type in legend_handler_map:
handler = legend_handler_map[handle_type]
break
else:
handler = None
return handler
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35*self._approx_text_height()*(self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers. this may need to be improbed
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn("Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n" % (str(orig_handle),))
handle_list.append(None)
continue
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handle = handler(self, orig_handle, \
#xdescent, ydescent, width, height,
fontsize,
handlebox)
handle_list.append(handle)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad*fontsize,
sep=self.labelspacing*fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
assert self.isaxes # should always hold because function is only called internally
ax = self.parent
vertices = []
bboxes = []
lines = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
return [vertices, bboxes, lines]
def draw_frame(self, b):
'b is a boolean. Set draw frame to b'
self.set_frame_on(b)
def get_children(self):
'return a list of child artists'
children = []
if self._legend_box:
children.append(self._legend_box)
children.extend(self.get_lines())
children.extend(self.get_patches())
children.extend(self.get_texts())
children.append(self.get_frame())
if self._legend_title_box:
children.append(self.get_title())
return children
def get_frame(self):
'return the Rectangle instance used to frame the legend'
return self.legendPatch
def get_lines(self):
'return a list of lines.Line2D instances in the legend'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'return a list of patch instances in the legend'
return silent_list('Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
'return a list of text.Text instance in the legend'
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if prop is not None:
if isinstance(prop, dict):
prop = FontProperties(**prop)
self._legend_title_box._text.set_fontproperties(prop)
if title:
self._legend_title_box.set_visible(True)
else:
self._legend_title_box.set_visible(False)
def get_title(self):
'return Text instance for the legend title'
return self._legend_title_box._text
def get_window_extent(self, *args, **kwargs) :
'return a extent of the the legend'
return self.legendPatch.get_window_extent(*args, **kwargs)
def get_frame_on(self):
"""
Get whether the legend box patch is drawn
"""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn
ACCEPTS: [ *True* | *False* ]
"""
self._drawFrame = b
def get_bbox_to_anchor(self):
"""
return the bbox that the legend will be anchored
"""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
set the bbox that the legend will be anchored.
*bbox* can be a BboxBase instance, a tuple of [left, bottom,
width, height] in the given transform (normalized axes
coordinate if None), or a tuple of [left, bottom] where the
width and height will be assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor,
transform)
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding "best".
- bbox: bbox to be placed, display coodinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1,11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = range(11)
anchor_coefs={UR:"NE",
UL:"NW",
LL:"SW",
LR:"SE",
R:"E",
CL:"W",
CR:"E",
LC:"S",
UC:"N",
C:"C"}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
assert self.isaxes # should always hold because function is only called internally
verts, bboxes, lines = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
consider = [self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer) for x in range(1, len(self.codes))]
#tx, ty = self.legendPatch.get_x(), self.legendPatch.get_y()
candidates = []
for l, b in consider:
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
badness = legendBox.count_contains(verts)
badness += legendBox.count_overlaps(bboxes)
for line in lines:
if line.intersects_bbox(legendBox):
badness += 1
ox, oy = l, b
if badness == 0:
return ox, oy
candidates.append((badness, (l, b)))
# rather than use min() or list.sort(), do this so that we are assured
# that in the case of two equal badnesses, the one first considered is
# returned.
# NOTE: list.sort() is stable.But leave as it is for now. -JJL
minCandidate = candidates[0]
for candidate in candidates:
if candidate[0] < minCandidate[0]:
minCandidate = candidate
ox, oy = minCandidate[1]
return ox, oy
def contains(self, event):
return self.legendPatch.contains(event)
def draggable(self, state=None, use_blit=False, update="loc"):
"""
Set the draggable state -- if state is
* None : toggle the current state
* True : turn draggable on
* False : turn draggable off
If draggable is on, you can drag the legend on the canvas with
the mouse. The DraggableLegend helper instance is returned if
draggable is on.
The update parameter control which parameter of the legend changes
when dragged. If update is "loc", the *loc* paramter of the legend
is changed. If "bbox", the *bbox_to_anchor* parameter is changed.
"""
is_draggable = self._draggable is not None
# if state is None we'll toggle
if state is None:
state = not is_draggable
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self, use_blit, update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers. this may need to be improbed
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn(
"Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n"
% (str(orig_handle), ))
handle_list.append(None)
continue
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
handle = handler(self, orig_handle, \
#xdescent, ydescent, width, height,
fontsize,
handlebox)
handle_list.append(handle)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(
range(0, num_largecol * (nrows + 1), (nrows + 1)),
[nrows + 1] * num_largecol)
smallcol = safezip(
range(num_largecol * (nrows + 1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol + smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t],
align="baseline") for h, t in handle_label[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def PlotTracesConcatenated(df, index, viewRange, saveDir, colorfy=False, artists=None, dpi=300,
fig_size=None, nullRange=None, hSpaceType='Fixed', hFixedSpace=0.10,
adjustFigW=True, adjustFigH=True, trimH=(None,None),
annotation='Simple', showInitVal=True, setFont='default', fontSize=10,
linewidth=1.0, monoStim=False, stimReflectCurrent=True, **kwargs):
"""Export traces arranged horizontally.
Good for an experiments acquired over multiple episodes.
trimH: (t1, t2) trim off the beginning of first episode by t1 seconds, and the
the end of the last episode by t2 seconds
"""
nchannels = len(viewRange.keys())
if not colorfy:
colorfy=['k']
fig, _= plt.subplots(nrows=nchannels, ncols=1, sharex=True)
ax = fig.get_axes()
# text annotation area
textbox = []
nullBase = dict()
currentTime = 0
maxWindow = max(df['Duration'])
for n, i in enumerate(index): #iterate over episodes
zData = df['Data'][i]
ts = zData.Protocol.msPerPoint
channels = []
for c, m in enumerate(viewRange.keys()): # iterate over channels/streams
# Draw plots
X = zData.Time + currentTime
Y = getattr(zData, m[0])[m[1]]
# null the trace
if nullRange is not None:
if n == 0: # calculate nullBase
if isinstance(nullRange, list):
nullBase[(m[0],m[1])] = np.mean(spk_window(Y, ts, nullRange))
else:
nullBase[(m[0],m[1])] = Y[time2ind(nullRange, ts)]
Y = Y - nullBase[(m[0],m[1])]
if n == 0 and trimH[0] is not None:
X = spk_window(X, ts, (trimH[0], None))
Y = spk_window(X, ts, (trimH[0], None))
elif n + 1 == len(index) and trimH[1] is not None:
X = spk_window(X, ts, (None, trimH[1]))
Y = spk_window(X, ts, (None, trimH[1]))
# Stim channel reflects current channel
if stimReflectCurrent and m[0]=='Stimulus':
CurBase = spk_window(zData.Current[m[1]], ts, viewRange[m][0]) # use view range of stimulus on current
CurBase = np.mean(spk_window(CurBase, ts, [0,50]))
Y = Y + CurBase
# do the plot
if m[0] in ['Voltage', 'Current'] or not monoStim: # temporary workaround
ax[c].plot(X, Y, color=colorfy[n%len(colorfy)], lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
else:
ax[c].plot(X, Y, color='k', lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
# Draw the initial value, only for the first plot
if n == 0 and showInitVal:
InitVal = "{0:0.0f}".format(Y[0])
if m[0] == 'Voltage':
InitVal += ' mV'
elif m[0] == 'Current':
InitVal += ' pA'
elif m[0] == 'Stimulus':
if stimReflectCurrent:
InitVal += ' pA'
else:
InitVal = ''
ax[c].text(X[0]-0.03*(viewRange[m][0][1]-viewRange[m][0][0]), Y[0]-1, InitVal, ha='right', va='center', color=colorfy[n%len(colorfy)])
if m[1] not in channels:
channels.append(m[1])
if annotation.lower() != 'none':
final_notes = writeEpisodeNote(zData, viewRange[m][0], channels=channels, mode=annotation)
# Draw some annotations
textbox.append(TextArea(final_notes, minimumdescent=False, textprops=dict(color=colorfy[n%len(colorfy)])))
# Set some spacing for the next episode
if n+1 < len(index):
if hSpaceType.lower() == 'fixed':
currentTime = currentTime + (len(Y)-1)*ts + maxWindow * hFixedSpace / 100.0
elif hSpaceType.lower() in ['real time', 'realtime', 'rt']:
currentTime = currentTime + (df['Data'][index[n+1]].Protocol.WCtime - zData.Protocol.WCtime)*1000
# Group all the episodes annotation text
if annotation.lower() != 'none':
box = VPacker(children=textbox, align="left",pad=0, sep=2)
annotationbox = AnchoredOffsetbox(loc=3, child=box, frameon=False, bbox_to_anchor=[1, 1.1])
ax[-1].add_artist(annotationbox)
scalebar = [annotationbox]
else:
scalebar = []
# set axis
for c, vr in enumerate(viewRange.items()):
ax[c].set_ylim(vr[1][1])
# Add scalebar
scalebar.append(AddTraceScaleBar(xunit='ms', yunit='mV' if vr[0][0]=='Voltage' else 'pA', ax=ax[c]))
plt.subplots_adjust(hspace = .001)
temp = tic.MaxNLocator(3)
ax[c].yaxis.set_major_locator(temp)
# Set font
if (isinstance(setFont, str) and setFont.lower() in ['default', 'arial', 'helvetica']) or \
(isinstance(setFont, bool) and setFont):
SetFont(ax, fig, fontsize=fontSize, fontname=os.path.join(__location__,'../resources/Helvetica.ttf'))
else:
SetFont(ax, fig, fontsize=fontSize, fontname=setFont)
# figure out and set the figure size
if adjustFigW:
fig_size = (np.ptp(ax[0].get_xlim()) / maxWindow * fig_size[0], fig_size[1])
if adjustFigH:
fig_size = (fig_size[0], fig_size[1]*nchannels)
fig.set_size_inches(fig_size)
fig.savefig(saveDir, bbox_inches='tight', bbox_extra_artists=tuple(scalebar), dpi=dpi)
# Close the figure after save
plt.close(fig)
# Convert svg file to eps
if '.svg' in saveDir:
svg2eps_ai(source_file=saveDir, target_file=saveDir.replace('.svg', '.eps'))
return(ax)
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#using-proxy-artist".format(orig_handle)
)
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0., ydescent=descent)
handleboxes.append(handlebox)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(handler.legend_artist(self, orig_handle,
fontsize, handlebox))
if handleboxes:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
handle_label = list(zip(handleboxes, labelboxes))
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline")
for h, t in handle_label[i0:i0 + di]]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self._legend_box.set_offset(self._findoffset)
self.texts = text_list
self.legendHandles = handle_list
def __init__(self,
transform,
sizex=0,
sizey=0,
labelx=None,
labely=None,
loc=4,
pad=0.1,
borderpad=0.1,
sep=2,
prop=None,
barcolor="black",
barwidth=None,
**kwargs):
"""
Draw a horizontal and/or vertical bar with the size in data coordinate
of the give axes. A label will be drawn underneath (center-aligned).
- transform : the coordinate frame (typically axes.transData)
- sizex,sizey : width of x,y bar, in data units. 0 to omit
- labelx,labely : labels for x,y bars; None to omit
- loc : position in containing axes
- pad, borderpad : padding, in fraction of the legend font size (or prop)
- sep : separation between labels and bars in points.
- **kwargs : additional arguments passed to base class constructor
"""
from matplotlib.patches import Rectangle
from matplotlib.offsetbox import AuxTransformBox, VPacker, HPacker, TextArea, DrawingArea
bars = AuxTransformBox(transform)
if sizex:
bars.add_artist(
Rectangle((0, 0),
sizex,
0,
ec=barcolor,
lw=barwidth,
fc="none"))
if sizey:
bars.add_artist(
Rectangle((0, 0),
0,
sizey,
ec=barcolor,
lw=barwidth,
fc="none"))
if sizex and labelx:
self.xlabel = TextArea(labelx, minimumdescent=False)
bars = VPacker(children=[bars, self.xlabel],
align="center",
pad=0,
sep=sep)
if sizey and labely:
self.ylabel = TextArea(labely)
bars = HPacker(children=[self.ylabel, bars],
align="center",
pad=0,
sep=sep)
AnchoredOffsetbox.__init__(self,
loc,
pad=pad,
borderpad=borderpad,
child=bars,
prop=prop,
frameon=False,
**kwargs)
def PlotTraces(df, index, viewRange, saveDir, colorfy=False, artists=None, dpi=300, fig_size=None,
adjustFigH=True, adjustFigW=True, nullRange=None, annotation='Simple', showInitVal=True,
setFont='default', fontSize=10, linewidth=1.0, monoStim=False, stimReflectCurrent=True,
plotStimOnce=False, filterDict=None, **kwargs):
"""Export multiple traces overlapping each other"""
# np.savez('R:/tmp.npz', df=df, index=index, viewRange=[viewRange], saveDir=saveDir, colorfy=colorfy)
# return
# set_trace()
# Start the figure
# viewRange= {(channel, stream):[[xmin,xmax],[ymin),ymax]]}
nchannels = len(viewRange.keys())
if not fig_size: # if not specified size, set to (4, 4*nchannels)
fig_size = (4, 4*nchannels)
if not colorfy:
colorfy=['k']
fig, _ = plt.subplots(nrows=nchannels, ncols=1, sharex=True)
ax = fig.get_axes()
# text annotation area
textbox = []
for n, i in enumerate(index):
zData = df['Data'][i]
ts = zData.Protocol.msPerPoint
channels = []
for c, m in enumerate(viewRange.keys()):
# Draw plots
X = zData.Time
Y = getattr(zData, m[0])[m[1]]
# null the trace, but ignore arithmetic data since their data were already nulled
if nullRange is not None and zData.Protocol.acquireComment != 'PySynapse Arithmetic Data':
if isinstance(nullRange, list):
Y = Y - np.mean(spk_window(Y, ts, nullRange))
else: # a single number
Y = Y - Y[time2ind(nullRange, ts)]
# window the plot
X = spk_window(X, ts, viewRange[m][0])
Y = spk_window(Y, ts, viewRange[m][0])
# Apply filter if toggled filtering, but do not filter stimulus
if isinstance(filterDict, dict) and m[0]!='Stimulus':
Y = butterFilter(Y, filterDict['order'], filterDict['wn'], filterDict['btype'])
# Stim channel reflects current channel
if stimReflectCurrent and m[0]=='Stimulus':
CurBase = spk_window(zData.Current[m[1]], ts, viewRange[m][0]) # use view range of stimulus on current
CurBase = np.mean(spk_window(CurBase, ts, [0,50]))
Y = Y + CurBase
# do the plot
if m[0] in ['Voltage', 'Current'] or not monoStim:
ax[c].plot(X, Y, color=colorfy[n%len(colorfy)], lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
else: # Stimulus
if plotStimOnce and n > 0:
pass
else:
ax[c].plot(X, Y, color='k', lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
# Draw initial value
if showInitVal:
InitVal = "{0:0.0f}".format(Y[0])
if m[0] == 'Voltage':
InitVal += ' mV'
elif m[0] == 'Current':
InitVal += 'pA'
elif m[0] == 'Stimulus':
if stimReflectCurrent:
InitVal += ' pA'
else:
InitVal = ''
ax[c].text(X[0]-0.03*(viewRange[m][0][1]-viewRange[m][0][0]), Y[0]-1, InitVal, ha='right', va='center', color=colorfy[n%len(colorfy)])
if m[1] not in channels:
channels.append(m[1])
if annotation.lower() != 'none':
final_notes = writeEpisodeNote(zData, viewRange[m][0], channels=channels, mode=annotation)
# Draw more annotations
textbox.append(TextArea(final_notes, minimumdescent=False, textprops=dict(color=colorfy[n%len(colorfy)])))
# Group all the episode annotation text
if annotation.lower() != 'none':
box = VPacker(children=textbox, align="left", pad=0, sep=2)
annotationbox = AnchoredOffsetbox(loc=3, child=box, frameon=False, bbox_to_anchor=[1, 1.1])
ax[-1].add_artist(annotationbox)
scalebar = [annotationbox]
else:
scalebar = []
# Draw annotation artists
DrawAnnotationArtists(artists, axs=ax)
# set axis
for c, vr in enumerate(viewRange.items()):
l, r = vr
ax[c].set_xlim(r[0])
ax[c].set_ylim(r[1])
# Add scalebar
scalebar.append(AddTraceScaleBar(xunit='ms', yunit='mV' if l[0]=='Voltage' else 'pA', ax=ax[c]))
plt.subplots_adjust(hspace=.001)
# temp = 510 + c
temp = tic.MaxNLocator(3)
ax[c].yaxis.set_major_locator(temp)
if (isinstance(setFont, str) and setFont.lower() in ['default', 'arial', 'helvetica']) or \
(isinstance(setFont, bool) and setFont):
SetFont(ax, fig, fontsize=fontSize, fontname=os.path.join(__location__,'../resources/Helvetica.ttf'))
else:
SetFont(ax, fig, fontsize=fontSize, fontname=setFont)
# save the figure
if adjustFigH:
fig_size = (fig_size[0], fig_size[1]*nchannels)
fig.set_size_inches(fig_size)
# plt.subplots_adjust(hspace=-0.8)
fig.savefig(saveDir, bbox_inches='tight', bbox_extra_artists=tuple(scalebar), dpi=dpi, transparent=True)
# Close the figure after save
plt.close(fig)
# Convert from svg to eps
if '.svg' in saveDir:
svg2eps_ai(source_file=saveDir, target_file=saveDir.replace('.svg', '.eps'))
return(ax)
#%%==================================Legend=================================%%#
#fig = matplotlib.pyplot.gcf()
#gs = plt.GridSpec(100,100,bottom=0,left=0,right=1,top=1)
#ax_off = fig.add_subplot(gs[0:100,0:100])
#
#star=mlines.Line2D([],[],color='red',marker='*',mec='k',linestyle='None',markersize=12,label='AFT used in this study')
#circle=mlines.Line2D([],[],color='red',marker='o',mec='k',linestyle='None',markersize=10,label='AFT Available')
#
#ax_off.legend(handles=[circle,star],fontsize=8,labelspacing=0.2,handletextpad=0.25,borderpad=0.1,loc=3,facecolor=(0.773,0.898,0.961),fancybox=True,edgecolor=(0,0,0,1))
#
#ax_off.patch.set_alpha(0)
#ax_off.patch.set_visible(False)
#ax_off.axis('off')
#%%====================================TEST=================================%%#
boxc1 = TextArea(' AHeA available:\n AHeA used for the study:',
textprops=dict(color='k', fontsize=9))
Boxc2 = DrawingArea(12.5, 20)
Recc0 = Rectangle((5, 0),
width=6,
height=6,
angle=45,
fc='darkred',
ec='darkred')
Recc1 = Circle((5, 15), radius=3.5, fc='darkred', ec='darkred')
Boxc2.add_artist(Recc0)
Boxc2.add_artist(Recc1)
boxc = HPacker(children=[boxc1, Boxc2], align="center", pad=3, sep=2.5)
anchored_boxc = AnchoredOffsetbox(loc=3,
def summarizePerformance(self, test_data_set, learning_algo, *args,
**kwargs):
""" Plot of the low-dimensional representation of the environment built by the model
"""
all_possib_inp = []
#labels=[]
for x_b in range(self._nx_block): #[1]:#range(self._nx_block):
for y_b in range(self._height):
for x_p in range(self._width - self._width_paddle + 1):
state = self.get_observation(
y_b, x_b * ((self._width - 1) // (self._nx_block - 1)),
x_p)
all_possib_inp.append(state)
#labels.append(x_b)
#arr=np.array(all_possib_inp)
#arr=arr.reshape(arr.shape[0],-1)
#np.savetxt('tsne_python/catcherH_X.txt',arr.reshape(arr.shape[0],-1))
#np.savetxt('tsne_python/cacherH_labels.txt',np.array(labels))
all_possib_inp = np.expand_dims(all_possib_inp, axis=1)
all_possib_abs_states = learning_algo.encoder.predict(all_possib_inp)
n = self._height - 1
historics = []
for i, observ in enumerate(test_data_set.observations()[0][0:n]):
historics.append(np.expand_dims(observ, axis=0))
historics = np.array(historics)
abs_states = learning_algo.encoder.predict(historics)
actions = test_data_set.actions()[0:n]
if self.inTerminalState() == False:
self._mode_episode_count += 1
print("== Mean score per episode is {} over {} episodes ==".format(
self._mode_score / (self._mode_episode_count + 0.0001),
self._mode_episode_count))
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.cm as cm
m = cm.ScalarMappable(cmap=cm.jet)
x = np.array(abs_states)[:, 0]
y = np.array(abs_states)[:, 1]
z = np.array(abs_states)[:, 2]
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlabel(r'$X_1$')
ax.set_ylabel(r'$X_2$')
ax.set_zlabel(r'$X_3$')
for j in range(3):
# Plot the trajectory
for i in range(30): #(n-1):
ax.plot(x[j * 24 + i:j * 24 + i + 2],
y[j * 24 + i:j * 24 + i + 2],
z[j * 24 + i:j * 24 + i + 2],
color=plt.cm.cool(255 * i / n),
alpha=0.5)
# Plot the estimated transitions
for i in range(n - 1):
predicted1 = learning_algo.transition.predict(
[abs_states[i:i + 1], np.array([[1, 0]])])
predicted2 = learning_algo.transition.predict(
[abs_states[i:i + 1], np.array([[0, 1]])])
ax.plot(np.concatenate([x[i:i + 1], predicted1[0, :1]]),
np.concatenate([y[i:i + 1], predicted1[0, 1:2]]),
np.concatenate([z[i:i + 1], predicted1[0, 2:3]]),
color="0.75",
alpha=0.75)
ax.plot(np.concatenate([x[i:i + 1], predicted2[0, :1]]),
np.concatenate([y[i:i + 1], predicted2[0, 1:2]]),
np.concatenate([z[i:i + 1], predicted2[0, 2:3]]),
color="0.25",
alpha=0.75)
# Plot the colorbar for the trajectory
fig.subplots_adjust(right=0.7)
ax1 = fig.add_axes([0.725, 0.15, 0.025, 0.7])
# Set the colormap and norm to correspond to the data for which the colorbar will be used.
cmap = matplotlib.cm.cool
norm = matplotlib.colors.Normalize(vmin=0, vmax=1)
# ColorbarBase derives from ScalarMappable and puts a colorbar in a specified axes, so it has
# everything needed for a standalone colorbar. There are many more kwargs, but the
# following gives a basic continuous colorbar with ticks and labels.
cb1 = matplotlib.colorbar.ColorbarBase(ax1,
cmap=cmap,
norm=norm,
orientation='vertical')
cb1.set_label('Beginning to end of trajectory')
# Plot the dots at each time step depending on the action taken
length_block = self._height * (self._width - self._width_paddle + 1)
for i in range(self._nx_block):
line3 = ax.scatter(
all_possib_abs_states[i * length_block:(i + 1) * length_block,
0],
all_possib_abs_states[i * length_block:(i + 1) * length_block,
1],
all_possib_abs_states[i * length_block:(i + 1) * length_block,
2],
s=10,
marker='x',
depthshade=True,
edgecolors='k',
alpha=0.3)
line2 = ax.scatter(x,
y,
z,
c=np.tile(np.expand_dims(1 - actions / 2., axis=1),
(1, 3)) - 0.25,
s=50,
marker='o',
edgecolors='k',
alpha=0.75,
depthshade=True)
axes_lims = [ax.get_xlim(), ax.get_ylim(), ax.get_zlim()]
zrange = axes_lims[2][1] - axes_lims[2][0]
# Plot the legend for the dots
from matplotlib.patches import Circle, Rectangle
from matplotlib.offsetbox import AnchoredOffsetbox, TextArea, DrawingArea, HPacker
box1 = TextArea(" State representation (action 0, action 1): ",
textprops=dict(color="k"))
box2 = DrawingArea(60, 20, 0, 0)
el1 = Circle((10, 10), 5, fc="0.75", edgecolor="k", alpha=0.75)
el2 = Circle((30, 10), 5, fc="0.25", edgecolor="k", alpha=0.75)
#el3 = Circle((50, 10), 5, fc="0", edgecolor="k")
box2.add_artist(el1)
box2.add_artist(el2)
#box2.add_artist(el3)
box = HPacker(children=[box1, box2], align="center", pad=0, sep=5)
anchored_box = AnchoredOffsetbox(
loc=3,
child=box,
pad=0.,
frameon=True,
bbox_to_anchor=(0., 1.07),
bbox_transform=ax.transAxes,
borderpad=0.,
)
ax.add_artist(anchored_box)
# Plot the legend for transition estimates
box1b = TextArea(" Estimated transitions (action 0, action 1): ",
textprops=dict(color="k"))
box2b = DrawingArea(60, 20, 0, 0)
el1b = Rectangle((5, 10), 15, 2, fc="0.75", alpha=0.75)
el2b = Rectangle((25, 10), 15, 2, fc="0.25", alpha=0.75)
box2b.add_artist(el1b)
box2b.add_artist(el2b)
boxb = HPacker(children=[box1b, box2b], align="center", pad=0, sep=5)
anchored_box = AnchoredOffsetbox(
loc=3,
child=boxb,
pad=0.,
frameon=True,
bbox_to_anchor=(0., 0.98),
bbox_transform=ax.transAxes,
borderpad=0.,
)
ax.add_artist(anchored_box)
ax.w_xaxis.set_pane_color((0.99, 0.99, 0.99, 0.99))
ax.w_yaxis.set_pane_color((0.99, 0.99, 0.99, 0.99))
ax.w_zaxis.set_pane_color((0.99, 0.99, 0.99, 0.99))
#plt.savefig('fig_base'+str(learning_algo.update_counter)+'.pdf')
# Plot the Q_vals
c = learning_algo.Q.predict(
np.concatenate((np.expand_dims(x, axis=1), np.expand_dims(
y, axis=1), np.expand_dims(z, axis=1)),
axis=1))
m1 = ax.scatter(x,
y,
z + zrange / 20,
c=c[:, 0],
vmin=-1.,
vmax=1.,
cmap=plt.cm.RdYlGn)
m2 = ax.scatter(x,
y,
z + 3 * zrange / 40,
c=c[:, 1],
vmin=-1.,
vmax=1.,
cmap=plt.cm.RdYlGn)
#plt.colorbar(m3)
ax2 = fig.add_axes([0.85, 0.15, 0.025, 0.7])
cmap = matplotlib.cm.RdYlGn
norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)
# ColorbarBase derives from ScalarMappable and puts a colorbar
# in a specified axes, so it has everything needed for a
# standalone colorbar. There are many more kwargs, but the
# following gives a basic continuous colorbar with ticks
# and labels.
cb1 = matplotlib.colorbar.ColorbarBase(ax2,
cmap=cmap,
norm=norm,
orientation='vertical')
cb1.set_label('Estimated expected return')
# plt.show()
for ii in range(-15, 345, 30):
ax.view_init(elev=20., azim=ii)
plt.savefig('fig_w_V_div5_forcelr_forcessdiv2' +
str(learning_algo.update_counter) + '_' + str(ii) +
'.pdf')
# fig_visuV
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = np.array([i for i in range(5) for jk in range(25)]) / 4. * (
axes_lims[0][1] - axes_lims[0][0]) + axes_lims[0][0]
y = np.array([j for i in range(5) for j in range(5)
for k in range(5)]) / 4. * (
axes_lims[1][1] - axes_lims[1][0]) + axes_lims[1][0]
z = np.array([k for i in range(5) for j in range(5)
for k in range(5)]) / 4. * (
axes_lims[2][1] - axes_lims[2][0]) + axes_lims[2][0]
c = learning_algo.Q.predict(
np.concatenate((np.expand_dims(x, axis=1), np.expand_dims(
y, axis=1), np.expand_dims(z, axis=1)),
axis=1))
c = np.max(c, axis=1)
m = ax.scatter(x, y, z, c=c, vmin=-1., vmax=1., cmap=plt.hot())
fig.subplots_adjust(right=0.8)
ax2 = fig.add_axes([0.875, 0.15, 0.025, 0.7])
cmap = matplotlib.cm.hot
norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)
# ColorbarBase derives from ScalarMappable and puts a colorbar
# in a specified axes, so it has everything needed for a
# standalone colorbar. There are many more kwargs, but the
# following gives a basic continuous colorbar with ticks
# and labels.
cb1 = matplotlib.colorbar.ColorbarBase(ax2,
cmap=cmap,
norm=norm,
orientation='vertical')
cb1.set_label('Estimated expected return')
#plt.show()
#plt.savefig('fig_visuV'+str(learning_algo.update_counter)+'.pdf')
# fig_visuR
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = np.array([i for i in range(5) for jk in range(25)]) / 4. * (
axes_lims[0][1] - axes_lims[0][0]) + axes_lims[0][0]
y = np.array([j for i in range(5) for j in range(5)
for k in range(5)]) / 4. * (
axes_lims[1][1] - axes_lims[1][0]) + axes_lims[1][0]
z = np.array([k for i in range(5) for j in range(5)
for k in range(5)]) / 4. * (
axes_lims[2][1] - axes_lims[2][0]) + axes_lims[2][0]
coords = np.concatenate((np.expand_dims(
x, axis=1), np.expand_dims(y, axis=1), np.expand_dims(z, axis=1)),
axis=1)
repeat_nactions_coord = np.repeat(coords, self.nActions(), axis=0)
identity_matrix = np.diag(np.ones(self.nActions()))
tile_identity_matrix = np.tile(identity_matrix, (5 * 5 * 5, 1))
c = learning_algo.R.predict(
[repeat_nactions_coord, tile_identity_matrix])
c = np.max(np.reshape(c, (125, self.nActions())), axis=1)
m = ax.scatter(x, y, z, c=c, vmin=-1., vmax=1., cmap=plt.hot())
fig.subplots_adjust(right=0.8)
ax2 = fig.add_axes([0.875, 0.15, 0.025, 0.7])
cmap = matplotlib.cm.hot
norm = matplotlib.colors.Normalize(vmin=-1, vmax=1)
# ColorbarBase derives from ScalarMappable and puts a colorbar
# in a specified axes, so it has everything needed for a
# standalone colorbar. There are many more kwargs, but the
# following gives a basic continuous colorbar with ticks
# and labels.
cb1 = matplotlib.colorbar.ColorbarBase(ax2,
cmap=cmap,
norm=norm,
orientation='vertical')
cb1.set_label('Estimated expected return')
#plt.show()
#plt.savefig('fig_visuR'+str(learning_algo.update_counter)+'.pdf')
matplotlib.pyplot.close("all") # avoids memory leaks
######################### dead agent/energy plot ####################################
plot.clear()
axes = plt.subplot(111)
energy = data.filter(regex="Energy$", axis=1)
if len(energy) < energyDayThreshold:
energy.apply(
lambda x: axes.scatter(x.index + 1, x, c='g', marker="x"))
energy["Average"] = data["Average Energy"]
axes.plot(data["CurrentDay"], energy["Average"], color='blue')
axes.set_ylim(0, 100)
ybox1 = TextArea("Energy: ",
textprops=dict(color="k",
rotation=90,
ha='left',
va='bottom'))
if len(energy) < energyDayThreshold:
ybox2 = TextArea("Individual/",
textprops=dict(color="g",
rotation=90,
ha='left',
va='bottom'))
ybox3 = TextArea("Average",
textprops=dict(color="b",
rotation=90,
ha='left',
va='bottom'))
if len(energy) < energyDayThreshold:
def __init__(self,
transform,
size,
label,
loc,
pad=0.1,
borderpad=0.1,
sep=2,
frameon=True,
size_vertical=0,
color='black',
label_top=False,
fontproperties=None,
fill_bar=None,
**kwargs):
"""
Draw a horizontal scale bar with a center-aligned label underneath.
Parameters
----------
transform : `matplotlib.transforms.Transform`
The transformation object for the coordinate system in use, i.e.,
:attr:`matplotlib.axes.Axes.transData`.
size : float
Horizontal length of the size bar, given in coordinates of
*transform*.
label : str
Label to display.
loc : int
Location of this size bar. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
pad : float, optional, default: 0.1
Padding around the label and size bar, in fraction of the font
size.
borderpad : float, optional, default: 0.1
Border padding, in fraction of the font size.
sep : float, optional, default: 2
Separation between the label and the size bar, in points.
frameon : bool, optional, default: True
If True, draw a box around the horizontal bar and label.
size_vertical : float, optional, default: 0
Vertical length of the size bar, given in coordinates of
*transform*.
color : str, optional, default: 'black'
Color for the size bar and label.
label_top : bool, optional, default: False
If True, the label will be over the size bar.
fontproperties : `matplotlib.font_manager.FontProperties`, optional
Font properties for the label text.
fill_bar : bool, optional
If True and if size_vertical is nonzero, the size bar will
be filled in with the color specified by the size bar.
Defaults to True if `size_vertical` is greater than
zero and False otherwise.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
size_bar : `matplotlib.offsetbox.AuxTransformBox`
Container for the size bar.
txt_label : `matplotlib.offsetbox.TextArea`
Container for the label of the size bar.
Notes
-----
If *prop* is passed as a keyworded argument, but *fontproperties* is
not, then *prop* is be assumed to be the intended *fontproperties*.
Using both *prop* and *fontproperties* is not supported.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> from mpl_toolkits.axes_grid1.anchored_artists import (
... AnchoredSizeBar)
>>> fig, ax = plt.subplots()
>>> ax.imshow(np.random.random((10, 10)))
>>> bar = AnchoredSizeBar(ax.transData, 3, '3 data units', 4)
>>> ax.add_artist(bar)
>>> fig.show()
Using all the optional parameters
>>> import matplotlib.font_manager as fm
>>> fontprops = fm.FontProperties(size=14, family='monospace')
>>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5,
... sep=5, borderpad=0.5, frameon=False,
... size_vertical=0.5, color='white',
... fontproperties=fontprops)
"""
if fill_bar is None:
fill_bar = size_vertical > 0
self.size_bar = AuxTransformBox(transform)
self.size_bar.add_artist(
Rectangle((0, 0),
size,
size_vertical,
fill=fill_bar,
facecolor=color,
edgecolor=color))
if fontproperties is None and 'prop' in kwargs:
fontproperties = kwargs.pop('prop')
if fontproperties is None:
textprops = {'color': color}
else:
textprops = {'color': color, 'fontproperties': fontproperties}
self.txt_label = TextArea(label,
minimumdescent=False,
textprops=textprops)
if label_top:
_box_children = [self.txt_label, self.size_bar]
else:
_box_children = [self.size_bar, self.txt_label]
self._box = VPacker(children=_box_children,
align="center",
pad=0,
sep=sep)
AnchoredOffsetbox.__init__(self,
loc,
pad=pad,
borderpad=borderpad,
child=self._box,
prop=fontproperties,
frameon=frameon,
**kwargs)
def PlotTracesAsGrids(df, index, viewRange, saveDir=None, colorfy=False, artists=None, dpi=300,
fig_size=None, adjustFigH=True, adjustFigW=True, nullRange=None,
annotation='Simple', setFont='default',gridSpec='Vertical', showInitVal=True,
scalebarAt='all', fontSize=10, linewidth=1.0, monoStim=False,
stimReflectCurrent=True, plotStimOnce=False, **kwargs):
"Export Multiple episodes arranged in a grid; default vertically"""
if not colorfy:
colorfy = ['k']
nchannels = len(viewRange.keys())
nepisodes = len(index)
if isinstance(gridSpec, str):
nrows, ncols = {
'ver': (nchannels*nepisodes, 1),
'hor': (1, nchannels*nepisodes),
'cha': (nchannels, nepisodes),
'epi': (nepisodes, nchannels)
}.get(gridSpec[:3].lower(), (None, None))
if nrows is None:
raise(ValueError('Unrecognized gridSpec: {}'.format(gridSpec)))
else:
raise(TypeError('Unrecognized type of argument: "gridSpec"'))
fig, _ = plt.subplots(nrows=nrows, ncols=ncols, sharex=True)
ax = fig.get_axes()
# text annotation area
textbox = []
viewRange_dict = {}
row, col = 0,0 # keep track of axis used
first_last_mat = [[],[]]
for n, i in enumerate(index):
zData = df['Data'][i]
ts = zData.Protocol.msPerPoint
channels = []
for c, m in enumerate(viewRange.keys()):
# Draw plots
X = zData.Time
Y = getattr(zData, m[0])[m[1]]
# null the trace
if nullRange is not None:
if isinstance(nullRange, list):
Y = Y - np.mean(spk_window(Y, ts, nullRange))
else: # a single number
Y = Y - Y[time2ind(nullRange, ts)]
# window the plot
X = spk_window(X, ts, viewRange[m][0])
Y = spk_window(Y, ts, viewRange[m][0])
# Stim channel reflects current channel
if stimReflectCurrent and m[0]=='Stimulus':
CurBase = spk_window(zData.Current[m[1]], ts, viewRange[m][0]) # use view range of stimulus on current
CurBase = np.mean(spk_window(CurBase, ts, [0,50]))
Y = Y + CurBase
# do the plot
ind = np.ravel_multi_index((row,col), (nrows, ncols), order='C')
if n == 0:
first_last_mat[0].append(ind)
elif n == len(index)-1:
first_last_mat[-1].append(ind)
if m[0] in ['Voltage', 'Current'] or not monoStim:
ax[ind].plot(X, Y, color=colorfy[n%len(colorfy)], lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
else: # Stimulus
if plotStimOnce and n > 0:
pass
else:
ax[ind].plot(X, Y, color='k', lw=linewidth, solid_joinstyle='bevel', solid_capstyle='butt')
# View range
viewRange_dict[(row,col)] = list(m)+list(viewRange[m])
# Draw initial value
if showInitVal:
InitVal = "{0:0.0f}".format(Y[0])
if m[0] == 'Voltage':
InitVal += ' mV'
elif m[0] == 'Current':
InitVal += ' pA'
elif m[0] == 'Stimulus':
if stimReflectCurrent:
InitVal += ' pA'
else:
InitVal = ''
ax[ind].text(X[0]-0.03*(viewRange[m][0][1]-viewRange[m][0][0]), Y[0]-1, InitVal, ha='right', va='center', color=colorfy[n%len(colorfy)])
if m[1] not in channels:
channels.append(m[1])
# update axis
row, col = {
'ver': (row+1, col),
'hor': (row, col+1),
'cha': (row+1 if c<nrows-1 else 0, col+1 if c==nrows-1 else col),
'epi': (row+1 if c==ncols-1 else row, col+1 if c<ncols-1 else 0)
}.get(gridSpec[:3].lower())
if annotation.lower() != 'none':
final_notes = writeEpisodeNote(zData, viewRange[m][0], channels=channels, mode=annotation)
# Draw more annotations
textbox.append(TextArea(final_notes, minimumdescent=False, textprops=dict(color=colorfy[n%len(colorfy)])))
# Group all the episode annotation text
if annotation.lower() != 'none':
box = VPacker(children=textbox, align="left",pad=0, sep=2)
annotationbox = AnchoredOffsetbox(loc=3, child=box, frameon=False, bbox_to_anchor=[1, 1.1])
ax[-1].add_artist(annotationbox)
scalebar = [annotationbox]
else:
scalebar = []
# set axis
for c, vr in enumerate(viewRange_dict.items()):
l, r = vr
ind = np.ravel_multi_index(l, (nrows, ncols), order='C')
ax[ind].set_xlim(r[2])
ax[ind].set_ylim(r[3])
# Add scalebar
if scalebarAt.lower()=='all' or (scalebarAt.lower()=='first' and ind in first_last_mat[0]) or (scalebarAt.lower()=='last' and ind in first_last_mat[-1]):
scalebar.append(AddTraceScaleBar(xunit='ms', yunit='mV' if r[0]=='Voltage' else 'pA', ax=ax[ind]))
else: # including 'none'
TurnOffAxis(ax=ax[ind])
plt.subplots_adjust(hspace = .001)
# temp = 510 + c
temp = tic.MaxNLocator(3)
ax[ind].yaxis.set_major_locator(temp)
# Draw annotation artist for each export
DrawAnnotationArtists(artists, axs=[ax[ind]])
if (isinstance(setFont, str) and setFont.lower() in ['default', 'arial', 'helvetica']) or \
(isinstance(setFont, bool) and setFont):
SetFont(ax, fig, fontsize=fontSize, fontname=os.path.join(__location__,'../resources/Helvetica.ttf'))
else:
SetFont(ax, fig, fontsize=fontSize, fontname=setFont)
# save the figure
if adjustFigW:
fig_size = (fig_size[0]*ncols, fig_size[1])
if adjustFigH:
fig_size = (fig_size[0], fig_size[1]*nrows)
fig.set_size_inches(fig_size)
# plt.subplots_adjust(hspace=-0.8)
fig.savefig(saveDir, bbox_inches='tight', bbox_extra_artists=tuple(scalebar), dpi=dpi, transparent=True)
# Close the figure after save
plt.close(fig)
if '.svg' in saveDir:
svg2eps_ai(source_file=saveDir, target_file=saveDir.replace('.svg', '.eps'))
return(ax)
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
for l in labels:
textbox = TextArea(l, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
height = self._approx_text_height() * 0.7
descent = 0.
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
for handle in handles:
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
npoints = self.scatterpoints
else:
npoints = self.numpoints
if npoints > 1:
# we put some pad here to compensate the size of the
# marker
xdata = np.linspace(0.3*fontsize,
(self.handlelength-0.3)*fontsize,
npoints)
xdata_marker = xdata
elif npoints == 1:
xdata = np.linspace(0, self.handlelength*fontsize, 2)
xdata_marker = [0.5*self.handlelength*fontsize]
if isinstance(handle, Line2D):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
legline.update_from(handle)
self._set_artist_props(legline) # after update
legline.set_clip_box(None)
legline.set_clip_path(None)
legline.set_drawstyle('default')
legline.set_marker('None')
handle_list.append(legline)
legline_marker = Line2D(xdata_marker, ydata[:len(xdata_marker)])
legline_marker.update_from(handle)
self._set_artist_props(legline_marker)
legline_marker.set_clip_box(None)
legline_marker.set_clip_path(None)
legline_marker.set_linestyle('None')
# we don't want to add this to the return list because
# the texts and handles are assumed to be in one-to-one
# correpondence.
legline._legmarker = legline_marker
elif isinstance(handle, Patch):
p = Rectangle(xy=(0., 0.),
width = self.handlelength*fontsize,
height=(height-descent),
)
p.update_from(handle)
self._set_artist_props(p)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, LineCollection):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
if dashes[0] is not None: # dashed line
legline.set_dashes(dashes[1])
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
#ydata = self._scatteryoffsets
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
# we may need to scale these sizes by "markerscale"
# attribute. But other handle types does not seem
# to care about this attribute and it is currently ignored.
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, CircleCollection):
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
# we may need to scale these sizes by "markerscale"
# attribute. But other handle types does not seem
# to care about this attribute and it is currently ignored.
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_list.append(None)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handle = handle_list[-1]
handlebox.add_artist(handle)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad*fontsize,
sep=self.labelspacing*fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def make_no_overlap_Nvalue_plots(density_arr, slope_arr, diam_bin_min,
diam_bin_max, color, plottype):
# make figure
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlabel(r'$\mathrm{Slope}$', fontsize=16)
ax.set_ylabel(r'$\mathrm{log(Density)}$', fontsize=16)
x = slope_arr
y = density_arr
ax.scatter(x, np.log10(y), s=5, c=color, alpha=0.3, edgecolors='none')
ax.set_ylim(-8, 0.5)
ax.set_xlim(0, 35)
# draw contours
# make sure the arrays dont have NaNs
slope_fin_idx = np.where(np.isfinite(x))[0]
density_fin_idx = np.where(np.isfinite(y))[0]
fin_idx = np.intersect1d(slope_fin_idx, density_fin_idx)
xp = x[fin_idx]
yp = y[fin_idx]
counts, xbins, ybins = np.histogram2d(xp,
np.log10(yp),
bins=25,
normed=False)
# smooth counts to get smoother contours
kernel = Gaussian2DKernel(stddev=1.4)
counts = convolve(counts, kernel, boundary='extend')
print "Min and max point number density values in bins", str(
"{:.3}".format(np.min(counts))), str("{:.3}".format(np.max(counts)))
diam_bin = str(diam_bin_min) + 'to' + str(diam_bin_max)
levels_to_plot, cb_lw, vmin = get_levels_to_plot(diam_bin,
plottype=plottype)
norm = mpl.colors.Normalize(vmin=vmin, vmax=max(levels_to_plot))
c = ax.contour(counts.transpose(), levels=levels_to_plot, \
extent=[xbins.min(), xbins.max(), ybins.min(), ybins.max()], \
cmap=cm.viridis, linestyles='solid', linewidths=2, \
zorder=10, norm=norm)
# plot colorbar inside figure
cbaxes = inset_axes(ax,
width='3%',
height='52%',
loc=7,
bbox_to_anchor=[-0.05, -0.2, 1, 1],
bbox_transform=ax.transAxes)
cb = plt.colorbar(c,
cax=cbaxes,
ticks=[min(levels_to_plot),
max(levels_to_plot)],
orientation='vertical')
cb.ax.get_children()[0].set_linewidths(cb_lw)
# add ticks and grid
ax.minorticks_on()
ax.tick_params('both', width=1, length=3, which='minor')
ax.tick_params('both', width=1, length=4.7, which='major')
ax.grid(True)
# save the figure
if plottype == 'Nvalue':
# add text on figure to indicate diameter bin
diambinbox = TextArea(r"$\mathrm{N \geq\ }$" + str(diam_bin_min) +
r'$\mathrm{\, km}$',
textprops=dict(color='k', size=14))
anc_diambinbox = AnchoredOffsetbox(loc=2, child=diambinbox, pad=0.0, frameon=False,\
bbox_to_anchor=(0.6, 0.1),\
bbox_transform=ax.transAxes, borderpad=0.0)
ax.add_artist(anc_diambinbox)
fig.savefig(slope_extdir + 'slope_v_density_withcontour_Nvalue' +
str(diam_bin_min) + 'km.png',
dpi=300,
bbox_inches='tight')
elif plottype == 'nooverlap':
# add text on figure to indicate diameter bin
diambinbox = TextArea(str(diam_bin_min) + r'$\mathrm{\ to\ }$' + str(diam_bin_max) + r'$\mathrm{\,km}$', \
textprops=dict(color='k', size=14))
anc_diambinbox = AnchoredOffsetbox(loc=2, child=diambinbox, pad=0.0, frameon=False,\
bbox_to_anchor=(0.6, 0.1),\
bbox_transform=ax.transAxes, borderpad=0.0)
ax.add_artist(anc_diambinbox)
fig.savefig(slope_extdir + 'slope_v_density_withcontour_nooverlap' +
diam_bin + 'km.png',
dpi=300,
bbox_inches='tight')
plt.cla()
plt.clf()
plt.close()
return None
class Legend(Artist):
"""
Place a legend on the axes at location loc. Labels are a
sequence of strings and loc can be a string or an integer
specifying the legend location
The location codes are::
'best' : 0, (only implemented for axis legends)
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
loc can be a tuple of the noramilzed coordinate values with
respect its parent.
Return value is a sequence of text, line instances that make
up the legend
"""
codes = {'best' : 0, # only implemented for axis legends
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
}
zorder = 5
def __str__(self):
return "Legend"
def __init__(self, parent, handles, labels,
loc = None,
numpoints = None, # the number of points in the legend line
markerscale = None, # the relative size of legend markers vs. original
scatterpoints = 3, # TODO: may be an rcParam
scatteryoffsets=None,
prop = None, # properties for the legend texts
pad = None, # deprecated; use borderpad
labelsep = None, # deprecated; use labelspacing
handlelen = None, # deprecated; use handlelength
handletextsep = None, # deprecated; use handletextpad
axespad = None, # deprecated; use borderaxespad
borderpad = None, # the whitespace inside the legend border
labelspacing=None, #the vertical space between the legend entries
handlelength=None, # the length of the legend handles
handletextpad=None, # the pad between the legend handle and text
borderaxespad=None, # the pad between the axes and legend border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns. None, "expand"
fancybox=None, # True use a fancy box, false use a rounded box, none use rc
shadow = None,
title = None, # set a title for the legend
bbox_to_anchor = None, # bbox that the legend will be anchored.
bbox_transform = None, # transform for the bbox
frameon = True, # draw frame
):
"""
- *parent* : the artist that contains the legend
- *handles* : a list of artists (lines, patches) to add to the legend
- *labels* : a list of strings to label the legend
Optional keyword arguments:
================ ==================================================================
Keyword Description
================ ==================================================================
loc a location code
prop the font property
markerscale the relative size of legend markers vs. original
numpoints the number of points in the legend for line
scatterpoints the number of points in the legend for scatter plot
scatteryoffsets a list of yoffsets for scatter symbols in legend
frameon if True, draw a frame (default is True)
fancybox if True, draw a frame with a round fancybox. If None, use rc
shadow if True, draw a shadow behind legend
ncol number of columns
borderpad the fractional whitespace inside the legend border
labelspacing the vertical space between the legend entries
handlelength the length of the legend handles
handletextpad the pad between the legend handle and text
borderaxespad the pad between the axes and legend border
columnspacing the spacing between columns
title the legend title
bbox_to_anchor the bbox that the legend will be anchored.
bbox_transform the transform for the bbox. transAxes if None.
================ ==================================================================
The pad and spacing parameters are measure in font-size units. E.g.,
a fontsize of 10 points and a handlelength=5 implies a handlelength of
50 points. Values from rcParams will be used if None.
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
from matplotlib.axes import Axes # local import only to avoid circularity
from matplotlib.figure import Figure # local import only to avoid circularity
Artist.__init__(self)
if prop is None:
self.prop=FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop=FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop=prop
self._fontsize = self.prop.get_size_in_points()
propnames=['numpoints', 'markerscale', 'shadow', "columnspacing",
"scatterpoints"]
self.texts = []
self.legendHandles = []
self._legend_title_box = None
localdict = locals()
for name in propnames:
if localdict[name] is None:
value = rcParams["legend."+name]
else:
value = localdict[name]
setattr(self, name, value)
deprecated_kwds = {"pad":"borderpad",
"labelsep":"labelspacing",
"handlelen":"handlelength",
"handletextsep":"handletextpad",
"axespad":"borderaxespad"}
bbox = parent.bbox
axessize_fontsize = min(bbox.width, bbox.height)/self._fontsize
for k, v in deprecated_kwds.items():
if localdict[k] is not None and localdict[v] is None:
warnings.warn("Use '%s' instead of '%s'." % (v, k),
DeprecationWarning)
setattr(self, v, localdict[k]*axessize_fontsize)
continue
if localdict[v] is None:
setattr(self, v, rcParams["legend."+v])
else:
setattr(self, v, localdict[v])
del localdict
handles = list(handles)
if len(handles)<2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be >= 0; it was %d"% numpoints)
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3./8., 4./8., 2.5/8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = int(self.numpoints / len(self._scatteryoffsets)) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets, reps)[:self.scatterpoints]
self._legend_box = None
if isinstance(parent,Axes):
self.isaxes = True
self.set_axes(parent)
self.set_figure(parent.figure)
elif isinstance(parent,Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0,'best']:
loc = 'upper right'
if is_string_like(loc):
if loc not in self.codes:
if self.isaxes:
warnings.warn('Unrecognized location "%s". Falling back on "best"; '
'valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes.keys())))
loc = 0
else:
warnings.warn('Unrecognized location "%s". Falling back on "upper right"; '
'valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes.keys())))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
warnings.warn('Automatic legend placement (loc="best") not implemented for figure legend. '
'Falling back on "upper right".')
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
self.legendPatch = FancyBboxPatch(
xy=(0.0, 0.0), width=1., height=1.,
facecolor=rcParams["axes.facecolor"],
edgecolor=rcParams["axes.edgecolor"],
mutation_scale=self._fontsize,
snap=True
)
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox == True:
self.legendPatch.set_boxstyle("round",pad=0,
rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square",pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
self._init_legend_box(handles, labels)
self._loc = loc
self.set_title(title)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
set the boilerplate props for artists added to axes
"""
a.set_figure(self.figure)
if self.isaxes:
a.set_axes(self.axes)
a.set_transform(self.get_transform())
def _set_loc(self, loc):
self._loc_real = loc
if loc == 0:
_findoffset = self._findoffset_best
else:
_findoffset = self._findoffset_loc
self._legend_box.set_offset(_findoffset)
self._loc_real = loc
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset_best(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend at its best position"
ox, oy = self._find_best_position(width, height, renderer)
return ox+xdescent, oy+ydescent
def _findoffset_loc(self, width, height, xdescent, ydescent, renderer):
"Heper function to locate the legend using the location code"
if iterable(self._loc) and len(self._loc)==2:
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
else:
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox, self.get_bbox_to_anchor(), renderer)
return x+xdescent, y+ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend"
if not self.get_visible(): return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
if self._mode in ["expand"]:
pad = 2*(self.borderaxespad+self.borderpad)*fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width-pad)
if self._drawFrame:
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0,
bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
height = self._approx_text_height() * 0.7
descent = 0.
for handle, lab in zip(handles, labels):
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
npoints = self.scatterpoints
else:
npoints = self.numpoints
if npoints > 1:
xdata = np.linspace(0.3*fontsize,
(self.handlelength-0.3)*fontsize,
npoints)
xdata_marker = xdata
elif npoints == 1:
xdata = np.linspace(0, self.handlelength*fontsize, 2)
xdata_marker = [0.5*self.handlelength*fontsize]
if isinstance(handle, Line2D):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
legline.update_from(handle)
self._set_artist_props(legline) # after update
legline.set_clip_box(None)
legline.set_clip_path(None)
legline.set_drawstyle('default')
legline.set_marker('None')
handle_list.append(legline)
legline_marker = Line2D(xdata_marker, ydata[:len(xdata_marker)])
legline_marker.update_from(handle)
self._set_artist_props(legline_marker)
legline_marker.set_clip_box(None)
legline_marker.set_clip_path(None)
legline_marker.set_linestyle('None')
legline._legmarker = legline_marker
elif isinstance(handle, Patch):
p = Rectangle(xy=(0., 0.),
width = self.handlelength*fontsize,
height=(height-descent),
)
p.update_from(handle)
self._set_artist_props(p)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, LineCollection):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
if dashes[0] is not None: # dashed line
legline.set_dashes(dashes[1])
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, CircleCollection):
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_type = type(handle)
warnings.warn("Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n" % (str(handle_type),))
handle_list.append(None)
handle = handle_list[-1]
if handle is not None: # handle is None is the artist is not supproted
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handlebox.add_artist(handle)
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
handle._transOffset = handlebox.get_transform()
handle.set_transform(None)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad*fontsize,
sep=self.labelspacing*fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
assert self.isaxes # should always hold because function is only called internally
ax = self.parent
vertices = []
bboxes = []
lines = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
return [vertices, bboxes, lines]
def draw_frame(self, b):
'b is a boolean. Set draw frame to b'
self.set_frame_on(b)
def get_children(self):
'return a list of child artists'
children = []
if self._legend_box:
children.append(self._legend_box)
children.extend(self.get_lines())
children.extend(self.get_patches())
children.extend(self.get_texts())
children.append(self.get_frame())
if self._legend_title_box:
children.append(self.get_title())
return children
def get_frame(self):
'return the Rectangle instance used to frame the legend'
return self.legendPatch
def get_lines(self):
'return a list of lines.Line2D instances in the legend'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'return a list of patch instances in the legend'
return silent_list('Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
'return a list of text.Text instance in the legend'
return silent_list('Text', self.texts)
def set_title(self, title):
'set the legend title'
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box.set_visible(True)
else:
self._legend_title_box.set_visible(False)
def get_title(self):
'return Text instance for the legend title'
return self._legend_title_box._text
def get_window_extent(self):
'return a extent of the the legend'
return self.legendPatch.get_window_extent()
def get_frame_on(self):
"""
Get whether the legend box patch is drawn
"""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn
ACCEPTS: [ *True* | *False* ]
"""
self._drawFrame = b
def get_bbox_to_anchor(self):
"""
return the bbox that the legend will be anchored
"""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
set the bbox that the legend will be anchored.
*bbox* can be a BboxBase instance, a tuple of [left, bottom,
width, height] in the given transform (normalized axes
coordinate if None), or a tuple of [left, bottom] where the
width and height will be assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor,
transform)
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding "best".
- bbox: bbox to be placed, display coodinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1,11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = range(11)
anchor_coefs={UR:"NE",
UL:"NW",
LL:"SW",
LR:"SE",
R:"E",
CL:"W",
CR:"E",
LC:"S",
UC:"N",
C:"C"}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
assert self.isaxes # should always hold because function is only called internally
verts, bboxes, lines = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
consider = [self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer) for x in range(1, len(self.codes))]
candidates = []
for l, b in consider:
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
badness = legendBox.count_contains(verts)
badness += legendBox.count_overlaps(bboxes)
for line in lines:
if line.intersects_bbox(legendBox):
badness += 1
ox, oy = l, b
if badness == 0:
return ox, oy
candidates.append((badness, (l, b)))
minCandidate = candidates[0]
for candidate in candidates:
if candidate[0] < minCandidate[0]:
minCandidate = candidate
ox, oy = minCandidate[1]
return ox, oy
def draggable(self, state=None, use_blit=False):
"""
Set the draggable state -- if state is
* None : toggle the current state
* True : turn draggable on
* False : turn draggable off
If draggable is on, you can drag the legend on the canvas with
the mouse. The DraggableLegend helper instance is returned if
draggable is on.
"""
is_draggable = self._draggable is not None
if state is None:
state = not is_draggable
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self, use_blit)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def make_label(label, max_length=20, capitalize=True):
label_text = str(label).title()[:max_length]
label_area = TextArea(label_text, textprops=dict(color="k"))
return label_area
def do_plot(self, wallet, history):
balance_Val=[]
# fee_val=[]
value_val=[]
datenums=[]
unknown_trans = 0
pending_trans = 0
for item in history:
tx_hash, confirmations, is_mine, value, fee, balance, timestamp = item
if confirmations:
if timestamp is not None:
try:
datenums.append(md.date2num(datetime.datetime.fromtimestamp(timestamp)))
balance_string = format_satoshis(balance, False, decimal_point=self.window.decimal_point)
balance_Val.append(float(balance_string))
except [RuntimeError, TypeError, NameError] as reason:
unknown_trans=unknown_trans+1
pass
else:
unknown_trans=unknown_trans+1
if value is not None:
value_string = format_satoshis(value, True, decimal_point=self.window.decimal_point)
value_val.append(float(value_string))
else:
value_string = '--'
else:
pending_trans=pending_trans+1
# if fee is not None:
# fee_string = format_satoshis(fee, True)
# fee_val.append(float(fee_string))
# else:
# fee_string = '0'
if tx_hash:
label, is_default_label = wallet.get_label(tx_hash)
label = label.encode('utf-8')
else:
label = ""
f, axarr = plt.subplots(2, sharex=True)
plt.subplots_adjust(bottom=0.2)
plt.xticks( rotation=25 )
ax=plt.gca()
x=19
if unknown_trans > 0:
test11="Unknown transactions = "+str(unknown_trans)+" ."
box1 = TextArea(" Test : Number of unkown transactions", textprops=dict(color="k"))
box1.set_text(test11)
box = HPacker(children=[box1],
align="center",
pad=0.1, sep=15)
anchored_box = AnchoredOffsetbox(loc=3,
child=box, pad=0.5,
frameon=True,
bbox_to_anchor=(0.5, 1.02),
bbox_transform=ax.transAxes,
borderpad=0.5,
)
ax.add_artist(anchored_box)
plt.ylabel(self.window.base_unit())
plt.xlabel('Dates')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[0].plot(datenums,balance_Val,marker='o',linestyle='-',color='blue',label='Balance')
axarr[0].legend(loc='upper left')
axarr[0].set_title('Confirmed Balance History')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[1].plot(datenums,value_val,marker='o',linestyle='-',color='green',label='Tx Value')
axarr[1].legend(loc='upper left')
axarr[1].set_title('Confirmed Transaction History')
# plt.annotate('unknown transaction = %d \n pending transactions = %d' %(unknown_trans,pending_trans),xy=(0.7,0.05),xycoords='axes fraction',size=12)
plt.annotate('pending transactions = %d' %pending_trans,xy=(0.7,-0.45),xycoords='axes fraction',size=12)
plt.show()
def plot_metrics(training_accs, training_losses, training_aucs,
validation_accs, validation_losses, validation_recalls,
validation_specifs, validation_aucs):
"""
Outputs four graphs showing changes in metric values over training.
1. Training and validation loss
2. Training and validation accuracy
3. Training and validation AUC ROC score
4. Validation AUC ROC, sensitivity, and specificity
"""
# Training loss and validation loss
fig, ax1 = plt.subplots()
fig.set_size_inches(12, 6)
num_training_accs = np.arange(0, len(training_accs), 1)
color = 'tab:red'
ax1.set_xlabel('Training Iterations')
ax1.set_ylabel('Training Loss (%)', color=color)
ax1.plot(num_training_accs, training_losses, color=color)
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_ylim([0.0, 1.1])
ax2 = ax1.twinx()
color = 'tab:blue'
ax2.set_ylabel('Validation Loss', color=color)
ax2.plot(num_training_accs, validation_losses, color=color)
ax2.tick_params(axis='y', labelcolor=color)
ax2.set_ylim([0.0, 1.1])
fig.tight_layout()
plt.show()
# Training and validation accuracy
fig, ax1 = plt.subplots()
ax1.set_ylim([0.1, 1.0])
fig.set_size_inches(12, 6)
num_val_accs = np.arange(0, len(validation_accs), 1)
ax1.set_xlabel('Epochs')
ax1.set_ylabel('Validation accuracy (%)', color=color)
ax1.plot(num_val_accs, validation_accs, color=color)
ax1.tick_params(axis='y', labelcolor=color)
ax2 = ax1.twinx()
color = 'tab:red'
ax2.set_ylabel('Training accuracy (%)', color=color)
ax2.plot(num_val_accs, training_accs, color=color)
ax2.tick_params(axis='y', labelcolor=color)
fig.tight_layout()
plt.show()
# Training and validation AUC ROC score
fig, ax1 = plt.subplots()
fig.set_size_inches(12, 6)
num_val_aucs = np.arange(0, len(validation_aucs), 1)
color = 'tab:blue'
ax1.set_xlabel('Epochs')
ax1.set_ylabel('Validation AUC', color=color)
ax1.plot(num_val_aucs, validation_aucs, color=color)
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_ylim([0.0, 1.0])
ax2 = ax1.twinx()
color = 'tab:red'
ax2.set_ylabel('Training AUC', color=color)
ax2.plot(num_val_aucs, training_aucs, color=color)
ax2.tick_params(axis='y', labelcolor=color)
ax2.set_ylim([0.0, 1.1])
fig.tight_layout()
plt.show()
# Validation AUC, specificity and sensitivity
fig, ax1 = plt.subplots()
fig.set_size_inches(12, 6)
ax1.set_xlabel('Epochs')
ax1.set_ylabel('Validation AUC', color=color)
ax1.plot(num_val_aucs, validation_aucs, color=color)
ax1.tick_params(axis='y', labelcolor=color)
ax1.set_ylim([0.0, 1.0])
ax2 = ax1.twinx()
ax2.set_ylim([0.0, 1.0])
ybox1 = TextArea("Sensitivity ",
textprops=dict(color='tab:blue',
rotation=90,
ha='left',
va='bottom'))
ybox2 = TextArea("and ",
textprops=dict(color="k",
rotation=90,
ha='left',
va='bottom'))
ybox3 = TextArea("Specificity ",
textprops=dict(color='xkcd:azure',
rotation=90,
ha='left',
va='bottom'))
ybox = VPacker(children=[ybox1, ybox2, ybox3],
align="bottom",
pad=0,
sep=5)
anchored_ybox = AnchoredOffsetbox(loc=8,
child=ybox,
pad=0.,
frameon=False,
bbox_to_anchor=(1.13, 0.25),
bbox_transform=ax2.transAxes,
borderpad=0.)
ax2.add_artist(anchored_ybox)
color = 'tab:blue'
ax2.plot(num_val_aucs, validation_recalls, color=color)
ax2.plot(num_val_aucs, validation_specifs, color='xkcd:azure')
ax2.tick_params(axis='y', labelcolor=color)
fig.tight_layout()
plt.show()
class Legend(Artist):
"""
Place a legend on the axes at location loc.
"""
# 'best' is only implemented for axes legends
codes = {'best': 0, **AnchoredOffsetbox.codes}
zorder = 5
def __str__(self):
return "Legend"
@_docstring.dedent_interpd
def __init__(
self,
parent,
handles,
labels,
loc=None,
numpoints=None, # number of points in the legend line
markerscale=None, # relative size of legend markers vs. original
markerfirst=True, # left/right ordering of legend marker and label
scatterpoints=None, # number of scatter points
scatteryoffsets=None,
prop=None, # properties for the legend texts
fontsize=None, # keyword to set font size directly
labelcolor=None, # keyword to set the text color
# spacing & pad defined as a fraction of the font-size
borderpad=None, # whitespace inside the legend border
labelspacing=None, # vertical space between the legend entries
handlelength=None, # length of the legend handles
handleheight=None, # height of the legend handles
handletextpad=None, # pad between the legend handle and text
borderaxespad=None, # pad between the axes and legend border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # horizontal distribution of columns: None or "expand"
fancybox=None, # True: fancy box, False: rounded box, None: rcParam
shadow=None,
title=None, # legend title
title_fontsize=None, # legend title font size
framealpha=None, # set frame alpha
edgecolor=None, # frame patch edgecolor
facecolor=None, # frame patch facecolor
bbox_to_anchor=None, # bbox to which the legend will be anchored
bbox_transform=None, # transform for the bbox
frameon=None, # draw frame
handler_map=None,
title_fontproperties=None, # properties for the legend title
):
"""
Parameters
----------
parent : `~matplotlib.axes.Axes` or `.Figure`
The artist that contains the legend.
handles : list of `.Artist`
A list of Artists (lines, patches) to be added to the legend.
labels : list of str
A list of labels to show next to the artists. The length of handles
and labels should be the same. If they are not, they are truncated
to the smaller of both lengths.
Other Parameters
----------------
%(_legend_kw_doc)s
Notes
-----
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. *bbox_to_anchor* can be a
`.BboxBase` (or derived there from) or a tuple of 2 or 4 floats.
See `set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
# local import only to avoid circularity
from matplotlib.axes import Axes
from matplotlib.figure import FigureBase
super().__init__()
if prop is None:
if fontsize is not None:
self.prop = FontProperties(size=fontsize)
else:
self.prop = FontProperties(
size=mpl.rcParams["legend.fontsize"])
else:
self.prop = FontProperties._from_any(prop)
if isinstance(prop, dict) and "size" not in prop:
self.prop.set_size(mpl.rcParams["legend.fontsize"])
self._fontsize = self.prop.get_size_in_points()
self.texts = []
self.legendHandles = []
self._legend_title_box = None
#: A dictionary with the extra handler mappings for this Legend
#: instance.
self._custom_handler_map = handler_map
def val_or_rc(val, rc_name):
return val if val is not None else mpl.rcParams[rc_name]
self.numpoints = val_or_rc(numpoints, 'legend.numpoints')
self.markerscale = val_or_rc(markerscale, 'legend.markerscale')
self.scatterpoints = val_or_rc(scatterpoints, 'legend.scatterpoints')
self.borderpad = val_or_rc(borderpad, 'legend.borderpad')
self.labelspacing = val_or_rc(labelspacing, 'legend.labelspacing')
self.handlelength = val_or_rc(handlelength, 'legend.handlelength')
self.handleheight = val_or_rc(handleheight, 'legend.handleheight')
self.handletextpad = val_or_rc(handletextpad, 'legend.handletextpad')
self.borderaxespad = val_or_rc(borderaxespad, 'legend.borderaxespad')
self.columnspacing = val_or_rc(columnspacing, 'legend.columnspacing')
self.shadow = val_or_rc(shadow, 'legend.shadow')
# trim handles and labels if illegal label...
_lab, _hand = [], []
for label, handle in zip(labels, handles):
if isinstance(label, str) and label.startswith('_'):
_api.warn_external(f"The label {label!r} of {handle!r} starts "
"with '_'. It is thus excluded from the "
"legend.")
else:
_lab.append(label)
_hand.append(handle)
labels, handles = _lab, _hand
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = self.scatterpoints // len(self._scatteryoffsets) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is a VPacker instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.axes = parent
self.set_figure(parent.figure)
elif isinstance(parent, FigureBase):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or FigureBase as parent")
self.parent = parent
self._loc_used_default = loc is None
if loc is None:
loc = mpl.rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if isinstance(loc, str):
loc = _api.check_getitem(self.codes, loc=loc)
if not self.isaxes and loc == 0:
raise ValueError(
"Automatic legend placement (loc='best') not implemented for "
"figure legend")
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
if facecolor is None:
facecolor = mpl.rcParams["legend.facecolor"]
if facecolor == 'inherit':
facecolor = mpl.rcParams["axes.facecolor"]
if edgecolor is None:
edgecolor = mpl.rcParams["legend.edgecolor"]
if edgecolor == 'inherit':
edgecolor = mpl.rcParams["axes.edgecolor"]
if fancybox is None:
fancybox = mpl.rcParams["legend.fancybox"]
self.legendPatch = FancyBboxPatch(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
# If shadow is used, default to alpha=1 (#8943).
alpha=(framealpha if framealpha is not None else
1 if shadow else mpl.rcParams["legend.framealpha"]),
# The width and height of the legendPatch will be set (in draw())
# to the length that includes the padding. Thus we set pad=0 here.
boxstyle=("round,pad=0,rounding_size=0.2"
if fancybox else "square,pad=0"),
mutation_scale=self._fontsize,
snap=True,
visible=(frameon if frameon is not None else
mpl.rcParams["legend.frameon"]))
self._set_artist_props(self.legendPatch)
# init with null renderer
self._init_legend_box(handles, labels, markerfirst)
tmp = self._loc_used_default
self._set_loc(loc)
self._loc_used_default = tmp # ignore changes done by _set_loc
# figure out title font properties:
if title_fontsize is not None and title_fontproperties is not None:
raise ValueError(
"title_fontsize and title_fontproperties can't be specified "
"at the same time. Only use one of them. ")
title_prop_fp = FontProperties._from_any(title_fontproperties)
if isinstance(title_fontproperties, dict):
if "size" not in title_fontproperties:
title_fontsize = mpl.rcParams["legend.title_fontsize"]
title_prop_fp.set_size(title_fontsize)
elif title_fontsize is not None:
title_prop_fp.set_size(title_fontsize)
elif not isinstance(title_fontproperties, FontProperties):
title_fontsize = mpl.rcParams["legend.title_fontsize"]
title_prop_fp.set_size(title_fontsize)
self.set_title(title, prop=title_prop_fp)
self._draggable = None
# set the text color
color_getters = { # getter function depends on line or patch
'linecolor': ['get_color', 'get_facecolor'],
'markerfacecolor': ['get_markerfacecolor', 'get_facecolor'],
'mfc': ['get_markerfacecolor', 'get_facecolor'],
'markeredgecolor': ['get_markeredgecolor', 'get_edgecolor'],
'mec': ['get_markeredgecolor', 'get_edgecolor'],
}
if labelcolor is None:
if mpl.rcParams['legend.labelcolor'] is not None:
labelcolor = mpl.rcParams['legend.labelcolor']
else:
labelcolor = mpl.rcParams['text.color']
if isinstance(labelcolor, str) and labelcolor in color_getters:
getter_names = color_getters[labelcolor]
for handle, text in zip(self.legendHandles, self.texts):
for getter_name in getter_names:
try:
color = getattr(handle, getter_name)()
text.set_color(color)
break
except AttributeError:
pass
elif isinstance(labelcolor, str) and labelcolor == 'none':
for text in self.texts:
text.set_color(labelcolor)
elif np.iterable(labelcolor):
for text, color in zip(
self.texts,
itertools.cycle(colors.to_rgba_array(labelcolor))):
text.set_color(color)
else:
raise ValueError(f"Invalid labelcolor: {labelcolor!r}")
def _set_artist_props(self, a):
"""
Set the boilerplate props for artists added to axes.
"""
a.set_figure(self.figure)
if self.isaxes:
# a.set_axes(self.axes)
a.axes = self.axes
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_used_default = False
self._loc_real = loc
self.stale = True
self._legend_box.set_offset(self._findoffset)
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset(self, width, height, xdescent, ydescent, renderer):
"""Helper function to locate the legend."""
if self._loc == 0: # "best".
x, y = self._find_best_position(width, height, renderer)
elif self._loc in Legend.codes.values(): # Fixed location.
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(), renderer)
else: # Axes or figure coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
# docstring inherited
if not self.get_visible():
return
renderer.open_group('legend', gid=self.get_gid())
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the parent (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
# update the location and size of the legend. This needs to
# be done in any case to clip the figure right.
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.bounds)
self.legendPatch.set_mutation_scale(fontsize)
if self.shadow:
Shadow(self.legendPatch, 2, -2).draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
self.stale = False
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer:
legend_handler.HandlerStem(),
ErrorbarContainer:
legend_handler.HandlerErrorbar(),
Line2D:
legend_handler.HandlerLine2D(),
Patch:
legend_handler.HandlerPatch(),
StepPatch:
legend_handler.HandlerStepPatch(),
LineCollection:
legend_handler.HandlerLineCollection(),
RegularPolyCollection:
legend_handler.HandlerRegularPolyCollection(),
CircleCollection:
legend_handler.HandlerCircleCollection(),
BarContainer:
legend_handler.HandlerPatch(
update_func=legend_handler.update_from_first_child),
tuple:
legend_handler.HandlerTuple(),
PathCollection:
legend_handler.HandlerPathCollection(),
PolyCollection:
legend_handler.HandlerPolyCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the default handler map.
@classmethod
def get_default_handler_map(cls):
"""Return the global default handler map, shared by all legends."""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""Set the global default handler map, shared by all legends."""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""Update the global default handler map, shared by all legends."""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""Return this legend instance's handler map."""
default_handler_map = self.get_default_handler_map()
return ({
**default_handler_map,
**self._custom_handler_map
} if self._custom_handler_map else default_handler_map)
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
Return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_handler_map* and return the associated value.
Otherwise, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns ``None``.
"""
try:
return legend_handler_map[orig_handle]
except (TypeError, KeyError): # TypeError if unhashable.
pass
for handle_type in type(orig_handle).mro():
try:
return legend_handler_map[handle_type]
except KeyError:
pass
return None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with columns.
# Each column is a VPacker, vertically packed with legend items.
# Each legend item is a HPacker packed with:
# - handlebox: a DrawingArea which contains the legend handle.
# - labelbox: a TextArea which contains the legend text.
text_list = [] # the list of text instances
handle_list = [] # the list of handle instances
handles_and_labels = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * fontsize * (self.handleheight - 0.7) # heuristic.
height = fontsize * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_transform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, label in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
_api.warn_external(
"Legend does not support handles for {0} "
"instances.\nA proxy artist may be used "
"instead.\nSee: https://matplotlib.org/"
"stable/tutorials/intermediate/legend_guide.html"
"#controlling-the-legend-entries".format(
type(orig_handle).__name__))
# No handle for this artist, so we just defer to None.
handle_list.append(None)
else:
textbox = TextArea(label,
multilinebaseline=True,
textprops=dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop))
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
text_list.append(textbox._text)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(
handler.legend_artist(self, orig_handle, fontsize,
handlebox))
handles_and_labels.append((handlebox, textbox))
columnbox = []
# array_split splits n handles_and_labels into ncol columns, with the
# first n%ncol columns having an extra entry. filter(len, ...) handles
# the case where n < ncol: the last ncol-n columns are empty and get
# filtered out.
for handles_and_labels_column \
in filter(len, np.array_split(handles_and_labels, self._ncol)):
# pack handlebox and labelbox into itembox
itemboxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline") for h, t in handles_and_labels_column
]
# pack columnbox
alignment = "baseline" if markerfirst else "right"
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemboxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self._legend_box.axes = self.axes
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Return display coordinates for hit testing for "best" positioning.
Returns
-------
bboxes
List of bounding boxes of all patches.
lines
List of `.Path` corresponding to each line.
offsets
List of (x, y) offsets of all collection.
"""
assert self.isaxes # always holds, as this is only called internally
bboxes = []
lines = []
offsets = []
for artist in self.parent._children:
if isinstance(artist, Line2D):
lines.append(artist.get_transform().transform_path(
artist.get_path()))
elif isinstance(artist, Rectangle):
bboxes.append(artist.get_bbox().transformed(
artist.get_data_transform()))
elif isinstance(artist, Patch):
bboxes.append(artist.get_path().get_extents(
artist.get_transform()))
elif isinstance(artist, Collection):
_, offset_trf, hoffsets, _ = artist._prepare_points()
for offset in offset_trf.transform(hoffsets):
offsets.append(offset)
return bboxes, lines, offsets
def get_children(self):
# docstring inherited
return [self._legend_box, self.get_frame()]
def get_frame(self):
"""Return the `~.patches.Rectangle` used to frame the legend."""
return self.legendPatch
def get_lines(self):
r"""Return the list of `~.lines.Line2D`\s in the legend."""
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
r"""Return the list of `~.patches.Patch`\s in the legend."""
return silent_list(
'Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
r"""Return the list of `~.text.Text`\s in the legend."""
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
Set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box._text.set_visible(True)
self._legend_title_box.set_visible(True)
else:
self._legend_title_box._text.set_visible(False)
self._legend_title_box.set_visible(False)
if prop is not None:
self._legend_title_box._text.set_fontproperties(prop)
self.stale = True
def get_title(self):
"""Return the `.Text` instance for the legend title."""
return self._legend_title_box._text
def get_window_extent(self, renderer=None):
# docstring inherited
if renderer is None:
renderer = self.figure._cachedRenderer
return self._legend_box.get_window_extent(renderer=renderer)
def get_tightbbox(self, renderer):
# docstring inherited
return self._legend_box.get_window_extent(renderer)
def get_frame_on(self):
"""Get whether the legend box patch is drawn."""
return self.legendPatch.get_visible()
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn.
Parameters
----------
b : bool
"""
self.legendPatch.set_visible(b)
self.stale = True
draw_frame = set_frame_on # Backcompat alias.
def get_bbox_to_anchor(self):
"""Return the bbox that the legend will be anchored to."""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
Set the bbox that the legend will be anchored to.
Parameters
----------
bbox : `~matplotlib.transforms.BboxBase` or tuple
The bounding box can be specified in the following ways:
- A `.BboxBase` instance
- A tuple of ``(left, bottom, width, height)`` in the given
transform (normalized axes coordinate if None)
- A tuple of ``(left, bottom)`` where the width and height will be
assumed to be zero.
- *None*, to remove the bbox anchoring, and use the parent bbox.
transform : `~matplotlib.transforms.Transform`, optional
A transform to apply to the bounding box. If not specified, this
will use a transform to the bounding box of the parent.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError as err:
raise ValueError(f"Invalid bbox: {bbox}") from err
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor, transform)
self.stale = True
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x, y) coordinate of the bbox.
Parameters
----------
loc : int
A location code in range(1, 11). This corresponds to the possible
values for ``self._loc``, excluding "best".
bbox : `~matplotlib.transforms.Bbox`
bbox to be placed, in display coordinates.
parentbbox : `~matplotlib.transforms.Bbox`
A parent box which will contain the bbox, in display coordinates.
"""
return offsetbox._get_anchored_bbox(
loc, bbox, parentbbox,
self.borderaxespad * renderer.points_to_pixels(self._fontsize))
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
*consider* is a list of ``(x, y)`` pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
assert self.isaxes # always holds, as this is only called internally
start_time = time.perf_counter()
bboxes, lines, offsets = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
if consider is None:
consider = [
self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))
]
candidates = []
for idx, (l, b) in enumerate(consider):
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
# XXX TODO: If markers are present, it would be good to take them
# into account when checking vertex overlaps in the next line.
badness = (
sum(legendBox.count_contains(line.vertices)
for line in lines) + legendBox.count_contains(offsets) +
legendBox.count_overlaps(bboxes) + sum(
line.intersects_bbox(legendBox, filled=False)
for line in lines))
if badness == 0:
return l, b
# Include the index to favor lower codes in case of a tie.
candidates.append((badness, idx, (l, b)))
_, _, (l, b) = min(candidates)
if self._loc_used_default and time.perf_counter() - start_time > 1:
_api.warn_external(
'Creating legend with loc="best" can be slow with large '
'amounts of data.')
return l, b
def contains(self, event):
inside, info = self._default_contains(event)
if inside is not None:
return inside, info
return self.legendPatch.contains(event)
def set_draggable(self, state, use_blit=False, update='loc'):
"""
Enable or disable mouse dragging support of the legend.
Parameters
----------
state : bool
Whether mouse dragging is enabled.
use_blit : bool, optional
Use blitting for faster image composition. For details see
:ref:`func-animation`.
update : {'loc', 'bbox'}, optional
The legend parameter to be changed when dragged:
- 'loc': update the *loc* parameter of the legend
- 'bbox': update the *bbox_to_anchor* parameter of the legend
Returns
-------
`.DraggableLegend` or *None*
If *state* is ``True`` this returns the `.DraggableLegend` helper
instance. Otherwise this returns *None*.
"""
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self,
use_blit,
update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def get_draggable(self):
"""Return ``True`` if the legend is draggable, ``False`` otherwise."""
return self._draggable is not None
class Legend(Artist):
"""
Place a legend on the axes at location loc. Labels are a
sequence of strings and loc can be a string or an integer
specifying the legend location
The location codes are::
'best' : 0, (only implemented for axes legends)
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
loc can be a tuple of the normalized coordinate values with
respect its parent.
"""
codes = {
'best': 0, # only implemented for axes legends
'upper right': 1,
'upper left': 2,
'lower left': 3,
'lower right': 4,
'right': 5,
'center left': 6,
'center right': 7,
'lower center': 8,
'upper center': 9,
'center': 10,
}
zorder = 5
def __str__(self):
return "Legend"
def __init__(
self,
parent,
handles,
labels,
loc=None,
numpoints=None, # the number of points in the legend line
markerscale=None, # the relative size of legend markers
# vs. original
markerfirst=True, # controls ordering (left-to-right) of
# legend marker and label
scatterpoints=None, # number of scatter points
scatteryoffsets=None,
prop=None, # properties for the legend texts
fontsize=None, # keyword to set font size directly
# spacing & pad defined as a fraction of the font-size
borderpad=None, # the whitespace inside the legend border
labelspacing=None, # the vertical space between the legend
# entries
handlelength=None, # the length of the legend handles
handleheight=None, # the height of the legend handles
handletextpad=None, # the pad between the legend handle
# and text
borderaxespad=None, # the pad between the axes and legend
# border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns.
# None, "expand"
fancybox=None, # True use a fancy box, false use a rounded
# box, none use rc
shadow=None,
title=None, # set a title for the legend
framealpha=None, # set frame alpha
edgecolor=None, # frame patch edgecolor
facecolor=None, # frame patch facecolor
bbox_to_anchor=None, # bbox that the legend will be anchored.
bbox_transform=None, # transform for the bbox
frameon=None, # draw frame
handler_map=None,
):
"""
- *parent*: the artist that contains the legend
- *handles*: a list of artists (lines, patches) to be added to the
legend
- *labels*: a list of strings to label the legend
Optional keyword arguments:
================ ====================================================
Keyword Description
================ ====================================================
loc Location code string, or tuple (see below).
prop the font property
fontsize the font size (used only if prop is not specified)
markerscale the relative size of legend markers vs. original
markerfirst If True (default), marker is to left of the label.
numpoints the number of points in the legend for line
scatterpoints the number of points in the legend for scatter plot
scatteryoffsets a list of yoffsets for scatter symbols in legend
frameon If True, draw the legend on a patch (frame).
fancybox If True, draw the frame with a round fancybox.
shadow If True, draw a shadow behind legend.
framealpha Transparency of the frame.
edgecolor Frame edgecolor.
facecolor Frame facecolor.
ncol number of columns
borderpad the fractional whitespace inside the legend border
labelspacing the vertical space between the legend entries
handlelength the length of the legend handles
handleheight the height of the legend handles
handletextpad the pad between the legend handle and text
borderaxespad the pad between the axes and legend border
columnspacing the spacing between columns
title the legend title
bbox_to_anchor the bbox that the legend will be anchored.
bbox_transform the transform for the bbox. transAxes if None.
================ ====================================================
The pad and spacing parameters are measured in font-size units. e.g.,
a fontsize of 10 points and a handlelength=5 implies a handlelength of
50 points. Values from rcParams will be used if None.
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
# local import only to avoid circularity
from matplotlib.axes import Axes
from matplotlib.figure import Figure
Artist.__init__(self)
if prop is None:
if fontsize is not None:
self.prop = FontProperties(size=fontsize)
else:
self.prop = FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop = FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop = prop
self._fontsize = self.prop.get_size_in_points()
self.texts = []
self.legendHandles = []
self._legend_title_box = None
#: A dictionary with the extra handler mappings for this Legend
#: instance.
self._custom_handler_map = handler_map
locals_view = locals()
for name in [
"numpoints", "markerscale", "shadow", "columnspacing",
"scatterpoints", "handleheight", 'borderpad', 'labelspacing',
'handlelength', 'handletextpad', 'borderaxespad'
]:
if locals_view[name] is None:
value = rcParams["legend." + name]
else:
value = locals_view[name]
setattr(self, name, value)
del locals_view
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = int(self.scatterpoints / len(self._scatteryoffsets)) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.axes = parent
self.set_figure(parent.figure)
elif isinstance(parent, Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if isinstance(loc, six.string_types):
if loc not in self.codes:
if self.isaxes:
warnings.warn('Unrecognized location "%s". Falling back '
'on "best"; valid locations are\n\t%s\n' %
(loc, '\n\t'.join(self.codes)))
loc = 0
else:
warnings.warn('Unrecognized location "%s". Falling back '
'on "upper right"; '
'valid locations are\n\t%s\n' %
(loc, '\n\t'.join(self.codes)))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
warnings.warn('Automatic legend placement (loc="best") not '
'implemented for figure legend. '
'Falling back on "upper right".')
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
if facecolor is None:
facecolor = rcParams["legend.facecolor"]
if facecolor == 'inherit':
facecolor = rcParams["axes.facecolor"]
if edgecolor is None:
edgecolor = rcParams["legend.edgecolor"]
if edgecolor == 'inherit':
edgecolor = rcParams["axes.edgecolor"]
self.legendPatch = FancyBboxPatch(xy=(0.0, 0.0),
width=1.,
height=1.,
facecolor=facecolor,
edgecolor=edgecolor,
mutation_scale=self._fontsize,
snap=True)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox:
self.legendPatch.set_boxstyle("round", pad=0, rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square", pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
if frameon is None:
self._drawFrame = rcParams["legend.frameon"]
# init with null renderer
self._init_legend_box(handles, labels, markerfirst)
if framealpha is None:
self.get_frame().set_alpha(rcParams["legend.framealpha"])
else:
self.get_frame().set_alpha(framealpha)
self._loc = loc
self.set_title(title)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
set the boilerplate props for artists added to axes
"""
a.set_figure(self.figure)
if self.isaxes:
# a.set_axes(self.axes)
a.axes = self.axes
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_real = loc
self.stale = True
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend"
if self._loc == 0: # "best".
x, y = self._find_best_position(width, height, renderer)
elif self._loc in Legend.codes.values(): # Fixed location.
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(), renderer)
else: # Axes or figure coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend"
if not self.get_visible():
return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the paret (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
# update the location and size of the legend. This needs to
# be done in any case to clip the figure right.
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0, bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self._drawFrame:
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
self.stale = False
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer:
legend_handler.HandlerStem(),
ErrorbarContainer:
legend_handler.HandlerErrorbar(),
Line2D:
legend_handler.HandlerLine2D(),
Patch:
legend_handler.HandlerPatch(),
LineCollection:
legend_handler.HandlerLineCollection(),
RegularPolyCollection:
legend_handler.HandlerRegularPolyCollection(),
CircleCollection:
legend_handler.HandlerCircleCollection(),
BarContainer:
legend_handler.HandlerPatch(
update_func=legend_handler.update_from_first_child),
tuple:
legend_handler.HandlerTuple(),
PathCollection:
legend_handler.HandlerPathCollection(),
PolyCollection:
legend_handler.HandlerPolyCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the default handler map.
@classmethod
def get_default_handler_map(cls):
"""
A class method that returns the default handler map.
"""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""
A class method to set the default handler map.
"""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""
A class method to update the default handler map.
"""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""
return the handler map.
"""
default_handler_map = self.get_default_handler_map()
if self._custom_handler_map:
hm = default_handler_map.copy()
hm.update(self._custom_handler_map)
return hm
else:
return default_handler_map
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_hanler_map* and return the associated value.
Otherwise, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns None.
"""
if is_hashable(orig_handle):
try:
return legend_handler_map[orig_handle]
except KeyError:
pass
for handle_type in type(orig_handle).mro():
try:
return legend_handler_map[handle_type]
except KeyError:
pass
return None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#using-proxy-artist".format(orig_handle))
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
handleboxes.append(handlebox)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(
handler.legend_artist(self, orig_handle, fontsize,
handlebox))
if handleboxes:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
handle_label = list(zip(handleboxes, labelboxes))
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline") for h, t in handle_label[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self._legend_box.set_offset(self._findoffset)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
# should always hold because function is only called internally
assert self.isaxes
ax = self.parent
bboxes = []
lines = []
offsets = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
for handle in ax.collections:
transform, transOffset, hoffsets, paths = handle._prepare_points()
if len(hoffsets):
for offset in transOffset.transform(hoffsets):
offsets.append(offset)
try:
vertices = np.concatenate([l.vertices for l in lines])
except ValueError:
vertices = np.array([])
return [vertices, bboxes, lines, offsets]
def draw_frame(self, b):
'b is a boolean. Set draw frame to b'
self.set_frame_on(b)
def get_children(self):
'return a list of child artists'
children = []
if self._legend_box:
children.append(self._legend_box)
children.append(self.get_frame())
return children
def get_frame(self):
'return the Rectangle instance used to frame the legend'
return self.legendPatch
def get_lines(self):
'return a list of lines.Line2D instances in the legend'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'return a list of patch instances in the legend'
return silent_list(
'Patch', [h for h in self.legendHandles if isinstance(h, Patch)])
def get_texts(self):
'return a list of text.Text instance in the legend'
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if prop is not None:
if isinstance(prop, dict):
prop = FontProperties(**prop)
self._legend_title_box._text.set_fontproperties(prop)
if title:
self._legend_title_box.set_visible(True)
else:
self._legend_title_box.set_visible(False)
self.stale = True
def get_title(self):
'return Text instance for the legend title'
return self._legend_title_box._text
def get_window_extent(self, *args, **kwargs):
'return a extent of the legend'
return self.legendPatch.get_window_extent(*args, **kwargs)
def get_frame_on(self):
"""
Get whether the legend box patch is drawn
"""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn
ACCEPTS: [ *True* | *False* ]
"""
self._drawFrame = b
self.stale = True
def get_bbox_to_anchor(self):
"""
return the bbox that the legend will be anchored
"""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
set the bbox that the legend will be anchored.
*bbox* can be a BboxBase instance, a tuple of [left, bottom,
width, height] in the given transform (normalized axes
coordinate if None), or a tuple of [left, bottom] where the
width and height will be assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor, transform)
self.stale = True
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding
"best".
- bbox: bbox to be placed, display coodinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1, 11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = list(xrange(11))
anchor_coefs = {
UR: "NE",
UL: "NW",
LL: "SW",
LR: "SE",
R: "E",
CL: "W",
CR: "E",
LC: "S",
UC: "N",
C: "C"
}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
# should always hold because function is only called internally
assert self.isaxes
verts, bboxes, lines, offsets = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
if consider is None:
consider = [
self._get_anchored_bbox(x, bbox, self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))
]
candidates = []
for idx, (l, b) in enumerate(consider):
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
# XXX TODO: If markers are present, it would be good to
# take them into account when checking vertex overlaps in
# the next line.
badness = (legendBox.count_contains(verts) +
legendBox.count_contains(offsets) +
legendBox.count_overlaps(bboxes) + sum(
line.intersects_bbox(legendBox, filled=False)
for line in lines))
if badness == 0:
return l, b
# Include the index to favor lower codes in case of a tie.
candidates.append((badness, idx, (l, b)))
_, _, (l, b) = min(candidates)
return l, b
def contains(self, event):
return self.legendPatch.contains(event)
def draggable(self, state=None, use_blit=False, update="loc"):
"""
Set the draggable state -- if state is
* None : toggle the current state
* True : turn draggable on
* False : turn draggable off
If draggable is on, you can drag the legend on the canvas with
the mouse. The DraggableLegend helper instance is returned if
draggable is on.
The update parameter control which parameter of the legend changes
when dragged. If update is "loc", the *loc* paramter of the legend
is changed. If "bbox", the *bbox_to_anchor* parameter is changed.
"""
is_draggable = self._draggable is not None
# if state is None we'll toggle
if state is None:
state = not is_draggable
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self,
use_blit,
update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def __init__(self,
ax,
transform,
width,
height,
zorder,
xlabel,
fc,
ylabels=None,
loc=4,
fontsize=5,
pad=0.1,
borderpad=0.1,
sep=2,
prop=None,
add_ruler=False,
ruler_unit='Km',
ruler_unit_fontsize=7,
ruler_fontweight='bold',
tick_fontweight='light',
**kwargs):
"""
Draw a horizontal and/or vertical bar with the size in
data coordinate of the give axes. A label will be drawn
underneath (center-aligned).
- transform : the coordinate frame (typically axes.transData)
- sizex,sizey : width of x,y bar, in data units. 0 to omit
- labelx,labely : labels for x,y bars; None to omit
- loc : position in containing axes
- pad, borderpad : padding, in fraction of the legend
font size (or prop)
- sep : separation between labels and bars in points.
- **kwargs : additional arguments passed to base class
constructor
"""
if ruler_unit_fontsize is None:
ruler_unit_fontsize = fontsize * 1.5
Rect = Rectangle(
(0, 0),
width,
height,
fc=fc,
edgecolor='k',
zorder=zorder,
)
ATB = AuxTransformBox(transform)
ATB.add_artist(Rect)
Txt_xlabel = TextArea(xlabel,
textprops=dict(fontsize=fontsize,
fontweight=tick_fontweight),
minimumdescent=True)
# vertically packing a single stripe with respective label
child = VPacker(children=[Txt_xlabel, ATB],
align="right",
pad=5,
sep=0)
if add_ruler:
Text = TextArea(ruler_unit,
textprops=dict(fontsize=ruler_unit_fontsize,
fontweight=ruler_fontweight))
child = VPacker(children=[child, Text],
align="center",
pad=5,
sep=0)
else:
Text = TextArea('', textprops=dict(fontsize=ruler_unit_fontsize))
child = VPacker(children=[child, Text],
align="right",
pad=5,
sep=0)
# horizontally packing all child packs in a single offsetBox
AnchoredOffsetbox.__init__(self,
loc='center left',
borderpad=borderpad,
child=child,
prop=prop,
frameon=False,
**kwargs)
def __init__(self,
transform,
size,
label,
loc,
pad=0.1,
borderpad=0.1,
sep=2,
prop=None,
frameon=True,
size_vertical=0,
color='black',
label_top=False,
**kwargs):
"""
Draw a horizontal bar with the size in data coordinate of the give axes.
A label will be drawn underneath (center-aligned).
Parameters:
-----------
transform : matplotlib transformation object
size : int or float
horizontal length of the size bar, given in data coordinates
label : str
loc : int
pad : int or float, optional
in fraction of the legend font size (or prop)
borderpad : int or float, optional
in fraction of the legend font size (or prop)
sep : int or float, optional
in points
frameon : bool, optional
if True, will draw a box around the horizontal bar and label
size_vertical : int or float, optional
vertical length of the size bar, given in data coordinates
color : str, optional
color for the size bar and label
label_top : bool, optional
if true, the label will be over the rectangle
Example:
--------
>>>> import matplotlib.pyplot as plt
>>>> import numpy as np
>>>> from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
>>>> fig, ax = plt.subplots()
>>>> ax = imshow(np.random.random((10,10)))
>>>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', pad=0.5, loc=4, sep=5, borderpad=0.5, frameon=False, size_vertical=0.5, color='white')
>>>> ax.add_artist(bar)
>>>> plt.show()
"""
self.size_bar = AuxTransformBox(transform)
self.size_bar.add_artist(
Rectangle((0, 0),
size,
size_vertical,
fill=True,
facecolor=color,
edgecolor=color))
self.txt_label = TextArea(label, minimumdescent=False)
if label_top:
_box_children = [self.txt_label, self.size_bar]
else:
_box_children = [self.size_bar, self.txt_label]
self._box = VPacker(children=_box_children,
align="center",
pad=0,
sep=sep)
AnchoredOffsetbox.__init__(self,
loc,
pad=pad,
borderpad=borderpad,
child=self._box,
prop=prop,
frameon=frameon,
**kwargs)
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
height = self._approx_text_height() * 0.7
descent = 0.
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
for handle, lab in zip(handles, labels):
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
npoints = self.scatterpoints
else:
npoints = self.numpoints
if npoints > 1:
# we put some pad here to compensate the size of the
# marker
xdata = np.linspace(0.3 * fontsize,
(self.handlelength - 0.3) * fontsize,
npoints)
xdata_marker = xdata
elif npoints == 1:
xdata = np.linspace(0, self.handlelength * fontsize, 2)
xdata_marker = [0.5 * self.handlelength * fontsize]
if isinstance(handle, Line2D):
ydata = ((height - descent) / 2.) * np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
legline.update_from(handle)
self._set_artist_props(legline) # after update
legline.set_clip_box(None)
legline.set_clip_path(None)
legline.set_drawstyle('default')
legline.set_marker('None')
handle_list.append(legline)
legline_marker = Line2D(xdata_marker,
ydata[:len(xdata_marker)])
legline_marker.update_from(handle)
self._set_artist_props(legline_marker)
legline_marker.set_clip_box(None)
legline_marker.set_clip_path(None)
legline_marker.set_linestyle('None')
if self.markerscale != 1:
newsz = legline_marker.get_markersize() * self.markerscale
legline_marker.set_markersize(newsz)
# we don't want to add this to the return list because
# the texts and handles are assumed to be in one-to-one
# correpondence.
legline._legmarker = legline_marker
elif isinstance(handle, Patch):
p = Rectangle(
xy=(0., 0.),
width=self.handlelength * fontsize,
height=(height - descent),
)
p.update_from(handle)
self._set_artist_props(p)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, LineCollection):
ydata = ((height - descent) / 2.) * np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
if dashes[0] is not None: # dashed line
legline.set_dashes(dashes[1])
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
#ydata = self._scatteryoffsets
ydata = height * self._scatteryoffsets
size_max, size_min = max(handle.get_sizes())*self.markerscale**2,\
min(handle.get_sizes())*self.markerscale**2
if self.scatterpoints < 4:
sizes = [.5 * (size_max + size_min), size_max, size_min]
else:
sizes = (size_max - size_min) * np.linspace(
0, 1, self.scatterpoints) + size_min
p = type(handle)(
handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker, ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, CircleCollection):
ydata = height * self._scatteryoffsets
size_max, size_min = max(handle.get_sizes())*self.markerscale**2,\
min(handle.get_sizes())*self.markerscale**2
if self.scatterpoints < 4:
sizes = [.5 * (size_max + size_min), size_max, size_min]
else:
sizes = (size_max - size_min) * np.linspace(
0, 1, self.scatterpoints) + size_min
p = type(handle)(
sizes,
offsets=zip(xdata_marker, ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_type = type(handle)
warnings.warn(
"Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n"
% (str(handle_type), ))
handle_list.append(None)
handle = handle_list[-1]
if handle is not None: # handle is None is the artist is not supproted
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
handlebox.add_artist(handle)
# special case for collection instances
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
handle._transOffset = handlebox.get_transform()
handle.set_transform(None)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(
range(0, num_largecol * (nrows + 1), (nrows + 1)),
[nrows + 1] * num_largecol)
smallcol = safezip(
range(num_largecol * (nrows + 1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol + smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t],
align="baseline") for h, t in handle_label[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def draw(self, renderer, *args, **kwargs):
if not self.get_visible():
return
if self.dx == 0:
return
# Late import
from matplotlib import rcParams
# Deprecation
if rcParams.get("scalebar.height_fraction") is not None:
warnings.warn(
"The scalebar.height_fraction parameter in matplotlibrc is deprecated. "
"Use scalebar.width_fraction instead.",
DeprecationWarning,
)
rcParams.setdefault("scalebar.width_fraction",
rcParams["scalebar.height_fraction"])
# Get parameters
def _get_value(attr, default):
value = getattr(self, attr)
if value is None:
value = rcParams.get("scalebar." + attr, default)
return value
length_fraction = _get_value("length_fraction", 0.2)
width_fraction = _get_value("width_fraction", 0.01)
location = _get_value("location", "upper right")
if isinstance(location, str):
location = self._LOCATIONS[location.lower()]
pad = _get_value("pad", 0.2)
border_pad = _get_value("border_pad", 0.1)
sep = _get_value("sep", 5)
frameon = _get_value("frameon", True)
color = _get_value("color", "k")
box_color = _get_value("box_color", "w")
box_alpha = _get_value("box_alpha", 1.0)
scale_loc = _get_value("scale_loc", "bottom").lower()
label_loc = _get_value("label_loc", "top").lower()
font_properties = self.font_properties
fixed_value = self.fixed_value
fixed_units = self.fixed_units or self.units
rotation = _get_value("rotation", "horizontal").lower()
label = self.label
# Create text properties
textprops = {"color": color, "rotation": rotation}
if font_properties is not None:
textprops["fontproperties"] = font_properties
# Calculate value, units and length
ax = self.axes
xlim = ax.get_xlim()
ylim = ax.get_ylim()
if rotation == "vertical":
xlim, ylim = ylim, xlim
# Mode 1: Auto
if self.fixed_value is None:
length_px = abs(xlim[1] - xlim[0]) * length_fraction
length_px, value, units = self._calculate_best_length(length_px)
# Mode 2: Fixed
else:
value = fixed_value
units = fixed_units
length_px = self._calculate_exact_length(value, units)
scale_text = self.scale_formatter(value,
self.dimension.to_latex(units))
width_px = abs(ylim[1] - ylim[0]) * width_fraction
# Create scale bar
if rotation == "horizontal":
scale_rect = Rectangle(
(0, 0),
length_px,
width_px,
fill=True,
facecolor=color,
edgecolor="none",
)
else:
scale_rect = Rectangle(
(0, 0),
width_px,
length_px,
fill=True,
facecolor=color,
edgecolor="none",
)
scale_bar_box = AuxTransformBox(ax.transData)
scale_bar_box.add_artist(scale_rect)
scale_text_box = TextArea(scale_text, textprops=textprops)
if scale_loc in ["bottom", "right"]:
children = [scale_bar_box, scale_text_box]
else:
children = [scale_text_box, scale_bar_box]
if scale_loc in ["bottom", "top"]:
Packer = VPacker
else:
Packer = HPacker
scale_box = Packer(children=children, align="center", pad=0, sep=sep)
# Create label
if label:
label_box = TextArea(label, textprops=textprops)
else:
label_box = None
# Create final offset box
if label_box:
if label_loc in ["bottom", "right"]:
children = [scale_box, label_box]
else:
children = [label_box, scale_box]
if label_loc in ["bottom", "top"]:
Packer = VPacker
else:
Packer = HPacker
child = Packer(children=children, align="center", pad=0, sep=sep)
else:
child = scale_box
box = AnchoredOffsetbox(loc=location,
pad=pad,
borderpad=border_pad,
child=child,
frameon=frameon)
box.axes = ax
box.set_figure(self.get_figure())
box.patch.set_color(box_color)
box.patch.set_alpha(box_alpha)
box.draw(renderer)
def do_plot(self, wallet, history):
balance_Val = []
fee_val = []
value_val = []
datenums = []
unknown_trans = 0
pending_trans = 0
counter_trans = 0
balance = 0
for item in history:
tx_hash, confirmations, value, timestamp, balance = item
if confirmations:
if timestamp is not None:
try:
datenums.append(
md.date2num(
datetime.datetime.fromtimestamp(timestamp)))
balance_Val.append(1000. * balance / COIN)
except [RuntimeError, TypeError, NameError] as reason:
unknown_trans += 1
pass
else:
unknown_trans += 1
else:
pending_trans += 1
value_val.append(1000. * value / COIN)
if tx_hash:
label = wallet.get_label(tx_hash)
label = label.encode('utf-8')
else:
label = ""
f, axarr = plt.subplots(2, sharex=True)
plt.subplots_adjust(bottom=0.2)
plt.xticks(rotation=25)
ax = plt.gca()
x = 19
test11 = "Unknown transactions = " + str(
unknown_trans) + " Pending transactions = " + str(
pending_trans) + " ."
box1 = TextArea(" Test : Number of pending transactions",
textprops=dict(color="k"))
box1.set_text(test11)
box = HPacker(children=[box1], align="center", pad=0.1, sep=15)
anchored_box = AnchoredOffsetbox(
loc=3,
child=box,
pad=0.5,
frameon=True,
bbox_to_anchor=(0.5, 1.02),
bbox_transform=ax.transAxes,
borderpad=0.5,
)
ax.add_artist(anchored_box)
plt.ylabel('mBTC')
plt.xlabel('Dates')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[0].plot(datenums,
balance_Val,
marker='o',
linestyle='-',
color='blue',
label='Balance')
axarr[0].legend(loc='upper left')
axarr[0].set_title('History Transactions')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[1].plot(datenums,
value_val,
marker='o',
linestyle='-',
color='green',
label='Value')
axarr[1].legend(loc='upper left')
# plt.annotate('unknown transaction = %d \n pending transactions = %d' %(unknown_trans,pending_trans),xy=(0.7,0.05),xycoords='axes fraction',size=12)
plt.show()
def dif_order_hist_plots(self):
efp_types = ["features", "nnify"]
# Get indices for run
df = pd.read_feather(f"{self.it_dir}/p{self.ix}/dif_order.feather")
idx0 = df.idx0.values
idx1 = df.idx1.values
# Remove any duplicates
idx0 = list(set(idx0))
idx1 = list(set(idx1))
# Plot settings
n_bins = 50
lw = 2
e1 = edgecolor = (0.2, 0.2, 1, 1)
c1 = (0.2, 0.2, 1, 0.1)
e2 = edgecolor = (1, 0.5, 0, 1)
c2 = (1, 0.5, 0, 0.1)
fig_x = 6
fig_y = 8
alpha = 0.1
# Initialize plot
fig, axs = plt.subplots(2, sharex=True, figsize=(fig_x, fig_y))
# Load EFP data from run
efp_max = (
pd.read_csv(f"{self.it_dir}/p{self.ix}/dif_order_ado_comparison.csv")
.iloc[0]
.efp
)
efp_data = pd.read_feather(f"{efp_dir}/test/{efp_max}.feather")
# Select dif-order indices
dif_X0 = np.log10(efp_data.iloc[idx0]["features"].values)
dif_X1 = np.log10(efp_data.iloc[idx1]["features"].values)
# Get complete EFP and group by signal/background
efp_grp = efp_data.groupby(["targets"])
X0 = np.log10(efp_grp.get_group(0).features.values)
X1 = np.log10(efp_grp.get_group(1).features.values)
upper_bound = max(max(X0), max(X1))
lower_bound = min(min(X0), min(X1))
if lower_bound == -np.inf:
lower_bound = -12
bins = np.linspace(lower_bound, upper_bound, n_bins)
# Plot histograms
axs[0].hist(
X0,
bins=bins,
density=True,
label="Signal in space $EFP_{i}$",
histtype="stepfilled",
linestyle="-",
linewidth=lw,
edgecolor=e1,
fc=c1,
)
axs[0].hist(
X1,
bins=bins,
density=True,
label="Background in space $EFP_{i}$",
histtype="stepfilled",
linestyle="-",
linewidth=lw,
edgecolor=e2,
fc=c2,
)
axs[1].hist(
dif_X0,
bins=bins,
density=True,
label="Signal in subspace $X_{i}$",
histtype="stepfilled",
linestyle="-",
linewidth=lw,
edgecolor=e1,
fc=c1,
)
axs[1].hist(
dif_X1,
bins=bins,
density=True,
label="Background in subspace $X_{i}$",
histtype="stepfilled",
linestyle="-",
linewidth=lw,
edgecolor=e2,
fc=c2,
)
# Increase font
axs[0].legend(fontsize=12, loc="upper left")
axs[1].legend(fontsize=12, loc="upper left")
axs[0].set_xlim(left=lower_bound, right=upper_bound)
axs[1].set_xlim(left=lower_bound, right=upper_bound)
# Plot labels
axs[1].set_xlabel("$\log_{10}$ [%s]" % efp_max)
axs[0].set_ylabel("Density")
axs[1].set_ylabel("Density")
axs[1].xaxis.set_major_locator(MaxNLocator(integer=True))
fig.subplots_adjust(hspace=0.02)
# Add the graph to the plot
gp = efp_max.split("efp_")[-1]
ndk = gp.split("_k")[0]
kappa = gp.split("_")[-3]
beta = gp.split("_")[-1]
graph_label = f"efp_{ndk}"
graph_file = f"{graph_dir}/png/{graph_label}.png"
arr_graph = mpimg.imread(graph_file)
imagebox = OffsetImage(arr_graph, zoom=0.2)
xlim = axs[0].get_xlim()
ylim = axs[0].get_ylim()
xpos = bins[int(n_bins / 6)]
ypos = ((ylim[0] + ylim[1]) / 2.0) * 1.2
xy = (xpos, ypos)
ab = AnnotationBbox(imagebox, xy)
axs[0].add_artist(ab)
if gp[0] == "et":
e_or_h = "ECal"
elif gp[0] == "ht":
e_or_h = "HCal"
xy = (xpos, ypos * 0.7)
textarea = TextArea(f"($\\kappa$={kappa}, $\\beta$={beta})")
ab = AnnotationBbox(textarea, xy)
axs[0].add_artist(ab)
plt.draw()
# Save plot
plt.tight_layout()
plt.savefig(f"{self.it_dir}/p{self.ix}/dif_order_plot.png")
plt.savefig(f"{self.it_dir}/p{self.ix}/dif_order_plot.pdf")
plt.clf()
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
handles_and_labels = []
label_prop = dict(
verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_transform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
cbook._warn_external(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#creating-artists-specifically-for-adding-to-the-legend-"
"aka-proxy-artists".format(orig_handle))
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab,
textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0.,
ydescent=descent)
text_list.append(textbox._text)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(
handler.legend_artist(self, orig_handle, fontsize,
handlebox))
handles_and_labels.append((handlebox, textbox))
if handles_and_labels:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handles_and_labels))
nrows, num_largecol = divmod(len(handles_and_labels), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [
HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline")
for h, t in handles_and_labels[i0:i0 + di]
]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(
VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep,
align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(
pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box, self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def performance_plot(self):
# Determine the number of completed passes
hl_only = 0.9446
hl_mass_benchmark = 0.9633
ll_benchmark = 0.9720
ecal_benchmark = 0.9176
hcal_benchmark = 0.8250
df = pd.read_csv(f"{self.it_dir}/selected_efps.csv")
efps = df.efp.values
# Get pass data
pass_ix = df.index.values
auc_ix = df.auc.values
ado_ix = df.ado.values
x_min = pass_ix[0]
x_max = pass_ix[-1]
# Initialize plot
fig, (ax0, ax1, ax2) = plt.subplots(
3, sharex=True, figsize=(10, 8), gridspec_kw={"height_ratios": [4, 1, 1]}
)
ax0.hlines(
ll_benchmark,
x_min,
x_max,
label=f"CNN(Hcal + Ecal) $[AUC={ll_benchmark:.4}]$",
color="r",
linestyle="dashed",
)
ax0.hlines(
hl_mass_benchmark,
x_min,
x_max,
label="DNN($7\, HL$ + $M_{jet}$) $[AUC=%.4f}]$" % hl_mass_benchmark,
color="g",
linestyle="dashed",
)
ax0.hlines(
hl_only,
x_min,
x_max,
label=f"DNN($7\, HL$) $[AUC={hl_only:.4}]$",
color="k",
linestyle="dashed",
)
auc_ix[0] = hl_only
ax0.plot(
pass_ix,
auc_ix,
color="b",
label=f"Black-box guided DNN($7\, HL + nEFP$) [AUC={max(auc_ix):.4}]",
)
ax0.set_ylabel("AUC")
ax0.legend(bbox_to_anchor=(1.0, 0.05), loc="lower right", ncol=1, fontsize=12)
ax1.plot(pass_ix, ado_ix, color="r")
ax1.fill_between(pass_ix, ado_ix, 0.5, color="r", alpha=0.1)
ax1.set_ylim([0.5, 1.0])
ax1.set_ylabel("$ADO(X_i, LL_i)$")
plt.xlim([0, x_max])
plt.xlabel("# of EFPs")
# plt.xticks(pass_ix)
ax1.xaxis.set_major_locator(MaxNLocator(integer=True))
for efp_ix, efp in enumerate(efps):
if efp_ix >= 1:
# Add the graph to the plot
# gp = efp.split("_")
gp = efp.split("efp_")[-1]
ndk = gp.split("_k")[0]
kappa = gp.split("_")[-3]
beta = gp.split("_")[-1]
graph_label = f"efp_{ndk}"
# kappa = gp[-3]
# beta = gp[-1]
# graph_label = f"efp_{gp[2]}_{gp[3]}_{gp[4]}"
graph_file = f"{graph_dir}/png/{graph_label}.png"
arr_graph = mpimg.imread(graph_file)
imagebox = OffsetImage(arr_graph, zoom=0.1)
xlim = ax2.get_xlim()
ylim = ax2.get_ylim()
xpos = efp_ix
ypos = 0.55
xy = (xpos, ypos)
ab = AnnotationBbox(imagebox, xy)
ax2.add_artist(ab)
if gp[0] == "et":
e_or_h = "ECal"
elif gp[0] == "ht":
e_or_h = "HCal"
else:
e_or_h = ""
xy = (xpos, 0)
textarea = TextArea(f"{e_or_h}-($\\kappa$={kappa}, $\\beta$={beta})")
ab = AnnotationBbox(textarea, xy)
ax2.add_artist(ab)
ax2.axis("off")
plt.draw()
fig.subplots_adjust(hspace=0.1)
# plt.tight_layout()
plt.savefig(f"{self.it_dir}/performance_plot.png")
plt.savefig(f"{self.it_dir}/performance_plot.pdf")
plt.clf()
class Legend(Artist):
"""
Place a legend on the axes at location loc.
"""
codes = {'best': 0, # only implemented for axes legends
'upper right': 1,
'upper left': 2,
'lower left': 3,
'lower right': 4,
'right': 5,
'center left': 6,
'center right': 7,
'lower center': 8,
'upper center': 9,
'center': 10,
}
zorder = 5
def __str__(self):
return "Legend"
@docstring.dedent_interpd
def __init__(self, parent, handles, labels,
loc=None,
numpoints=None, # the number of points in the legend line
markerscale=None, # the relative size of legend markers
# vs. original
markerfirst=True, # controls ordering (left-to-right) of
# legend marker and label
scatterpoints=None, # number of scatter points
scatteryoffsets=None,
prop=None, # properties for the legend texts
fontsize=None, # keyword to set font size directly
# spacing & pad defined as a fraction of the font-size
borderpad=None, # the whitespace inside the legend border
labelspacing=None, # the vertical space between the legend
# entries
handlelength=None, # the length of the legend handles
handleheight=None, # the height of the legend handles
handletextpad=None, # the pad between the legend handle
# and text
borderaxespad=None, # the pad between the axes and legend
# border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns.
# None, "expand"
fancybox=None, # True use a fancy box, false use a rounded
# box, none use rc
shadow=None,
title=None, # set a title for the legend
title_fontsize=None, # set to ax.fontsize if None
framealpha=None, # set frame alpha
edgecolor=None, # frame patch edgecolor
facecolor=None, # frame patch facecolor
bbox_to_anchor=None, # bbox that the legend will be anchored.
bbox_transform=None, # transform for the bbox
frameon=None, # draw frame
handler_map=None,
):
"""
Parameters
----------
parent : `~matplotlib.axes.Axes` or `.Figure`
The artist that contains the legend.
handles : sequence of `.Artist`
A list of Artists (lines, patches) to be added to the legend.
labels : sequence of strings
A list of labels to show next to the artists. The length of handles
and labels should be the same. If they are not, they are truncated
to the smaller of both lengths.
Other Parameters
----------------
%(_legend_kw_doc)s
Notes
-----
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
# local import only to avoid circularity
from matplotlib.axes import Axes
from matplotlib.figure import Figure
Artist.__init__(self)
if prop is None:
if fontsize is not None:
self.prop = FontProperties(size=fontsize)
else:
self.prop = FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop = FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop = prop
self._fontsize = self.prop.get_size_in_points()
self.texts = []
self.legendHandles = []
self._legend_title_box = None
#: A dictionary with the extra handler mappings for this Legend
#: instance.
self._custom_handler_map = handler_map
locals_view = locals()
for name in ["numpoints", "markerscale", "shadow", "columnspacing",
"scatterpoints", "handleheight", 'borderpad',
'labelspacing', 'handlelength', 'handletextpad',
'borderaxespad']:
if locals_view[name] is None:
value = rcParams["legend." + name]
else:
value = locals_view[name]
setattr(self, name, value)
del locals_view
# trim handles and labels if illegal label...
_lab, _hand = [], []
for label, handle in zip(labels, handles):
if isinstance(label, str) and label.startswith('_'):
cbook._warn_external('The handle {!r} has a label of {!r} '
'which cannot be automatically added to'
' the legend.'.format(handle, label))
else:
_lab.append(label)
_hand.append(handle)
labels, handles = _lab, _hand
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = self.scatterpoints // len(self._scatteryoffsets) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.axes = parent
self.set_figure(parent.figure)
elif isinstance(parent, Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
self._loc_used_default = loc is None
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if isinstance(loc, str):
if loc not in self.codes:
if self.isaxes:
cbook.warn_deprecated(
"3.1", message="Unrecognized location {!r}. Falling "
"back on 'best'; valid locations are\n\t{}\n"
"This will raise an exception %(removal)s."
.format(loc, '\n\t'.join(self.codes)))
loc = 0
else:
cbook.warn_deprecated(
"3.1", message="Unrecognized location {!r}. Falling "
"back on 'upper right'; valid locations are\n\t{}\n'"
"This will raise an exception %(removal)s."
.format(loc, '\n\t'.join(self.codes)))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
cbook.warn_deprecated(
"3.1", message="Automatic legend placement (loc='best') not "
"implemented for figure legend. Falling back on 'upper "
"right'. This will raise an exception %(removal)s.")
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
if facecolor is None:
facecolor = rcParams["legend.facecolor"]
if facecolor == 'inherit':
facecolor = rcParams["axes.facecolor"]
if edgecolor is None:
edgecolor = rcParams["legend.edgecolor"]
if edgecolor == 'inherit':
edgecolor = rcParams["axes.edgecolor"]
self.legendPatch = FancyBboxPatch(
xy=(0.0, 0.0), width=1., height=1.,
facecolor=facecolor,
edgecolor=edgecolor,
mutation_scale=self._fontsize,
snap=True
)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox:
self.legendPatch.set_boxstyle("round", pad=0,
rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square", pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
if frameon is None:
self._drawFrame = rcParams["legend.frameon"]
# init with null renderer
self._init_legend_box(handles, labels, markerfirst)
# If shadow is activated use framealpha if not
# explicitly passed. See Issue 8943
if framealpha is None:
if shadow:
self.get_frame().set_alpha(1)
else:
self.get_frame().set_alpha(rcParams["legend.framealpha"])
else:
self.get_frame().set_alpha(framealpha)
tmp = self._loc_used_default
self._set_loc(loc)
self._loc_used_default = tmp # ignore changes done by _set_loc
# figure out title fontsize:
if title_fontsize is None:
title_fontsize = rcParams['legend.title_fontsize']
tprop = FontProperties(size=title_fontsize)
self.set_title(title, prop=tprop)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
Set the boilerplate props for artists added to axes.
"""
a.set_figure(self.figure)
if self.isaxes:
# a.set_axes(self.axes)
a.axes = self.axes
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_used_default = False
self._loc_real = loc
self.stale = True
self._legend_box.set_offset(self._findoffset)
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend."
if self._loc == 0: # "best".
x, y = self._find_best_position(width, height, renderer)
elif self._loc in Legend.codes.values(): # Fixed location.
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(),
renderer)
else: # Axes or figure coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend."
if not self.get_visible():
return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the parent (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
# update the location and size of the legend. This needs to
# be done in any case to clip the figure right.
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0,
bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self._drawFrame:
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
self.stale = False
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer: legend_handler.HandlerStem(),
ErrorbarContainer: legend_handler.HandlerErrorbar(),
Line2D: legend_handler.HandlerLine2D(),
Patch: legend_handler.HandlerPatch(),
LineCollection: legend_handler.HandlerLineCollection(),
RegularPolyCollection: legend_handler.HandlerRegularPolyCollection(),
CircleCollection: legend_handler.HandlerCircleCollection(),
BarContainer: legend_handler.HandlerPatch(
update_func=legend_handler.update_from_first_child),
tuple: legend_handler.HandlerTuple(),
PathCollection: legend_handler.HandlerPathCollection(),
PolyCollection: legend_handler.HandlerPolyCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the default handler map.
@classmethod
def get_default_handler_map(cls):
"""
A class method that returns the default handler map.
"""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""
A class method to set the default handler map.
"""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""
A class method to update the default handler map.
"""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""
Return the handler map.
"""
default_handler_map = self.get_default_handler_map()
if self._custom_handler_map:
hm = default_handler_map.copy()
hm.update(self._custom_handler_map)
return hm
else:
return default_handler_map
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
Return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_handler_map* and return the associated value.
Otherwise, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns ``None``.
"""
if is_hashable(orig_handle):
try:
return legend_handler_map[orig_handle]
except KeyError:
pass
for handle_type in type(orig_handle).mro():
try:
return legend_handler_map[handle_type]
except KeyError:
pass
return None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
handles_and_labels = []
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_transform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
cbook._warn_external(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#creating-artists-specifically-for-adding-to-the-legend-"
"aka-proxy-artists".format(orig_handle))
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0., ydescent=descent)
text_list.append(textbox._text)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(handler.legend_artist(self, orig_handle,
fontsize, handlebox))
handles_and_labels.append((handlebox, textbox))
if handles_and_labels:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handles_and_labels))
nrows, num_largecol = divmod(len(handles_and_labels), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline")
for h, t in handles_and_labels[i0:i0 + di]]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
# should always hold because function is only called internally
assert self.isaxes
ax = self.parent
bboxes = []
lines = []
offsets = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
for handle in ax.collections:
transform, transOffset, hoffsets, paths = handle._prepare_points()
if len(hoffsets):
for offset in transOffset.transform(hoffsets):
offsets.append(offset)
try:
vertices = np.concatenate([l.vertices for l in lines])
except ValueError:
vertices = np.array([])
return [vertices, bboxes, lines, offsets]
def draw_frame(self, b):
'''
Set draw frame to b.
Parameters
----------
b : bool
'''
self.set_frame_on(b)
def get_children(self):
'Return a list of child artists.'
children = []
if self._legend_box:
children.append(self._legend_box)
children.append(self.get_frame())
return children
def get_frame(self):
'''
Return the `~.patches.Rectangle` instances used to frame the legend.
'''
return self.legendPatch
def get_lines(self):
'Return a list of `~.lines.Line2D` instances in the legend.'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'Return a list of `~.patches.Patch` instances in the legend.'
return silent_list('Patch',
[h for h in self.legendHandles
if isinstance(h, Patch)])
def get_texts(self):
'Return a list of `~.text.Text` instances in the legend.'
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
Set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if title:
self._legend_title_box._text.set_visible(True)
self._legend_title_box.set_visible(True)
else:
self._legend_title_box._text.set_visible(False)
self._legend_title_box.set_visible(False)
if prop is not None:
if isinstance(prop, dict):
prop = FontProperties(**prop)
self._legend_title_box._text.set_fontproperties(prop)
self.stale = True
def get_title(self):
'Return the `.Text` instance for the legend title.'
return self._legend_title_box._text
def get_window_extent(self, renderer=None):
'Return extent of the legend.'
if renderer is None:
renderer = self.figure._cachedRenderer
return self._legend_box.get_window_extent(renderer=renderer)
def get_tightbbox(self, renderer):
"""
Like `.Legend.get_window_extent`, but uses the box for the legend.
Parameters
----------
renderer : `.RendererBase` instance
renderer that will be used to draw the figures (i.e.
``fig.canvas.get_renderer()``)
Returns
-------
`.BboxBase` : containing the bounding box in figure pixel co-ordinates.
"""
return self._legend_box.get_window_extent(renderer)
def get_frame_on(self):
"""Get whether the legend box patch is drawn."""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn.
Parameters
----------
b : bool
"""
self._drawFrame = b
self.stale = True
def get_bbox_to_anchor(self):
"""Return the bbox that the legend will be anchored to."""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
Set the bbox that the legend will be anchored to.
*bbox* can be
- A `.BboxBase` instance
- A tuple of ``(left, bottom, width, height)`` in the given transform
(normalized axes coordinate if None)
- A tuple of ``(left, bottom)`` where the width and height will be
assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor,
transform)
self.stale = True
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding
"best".
- bbox: bbox to be placed, display coordinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1, 11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = range(11)
anchor_coefs = {UR: "NE",
UL: "NW",
LL: "SW",
LR: "SE",
R: "E",
CL: "W",
CR: "E",
LC: "S",
UC: "N",
C: "C"}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
*consider* is a list of ``(x, y)`` pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
# should always hold because function is only called internally
assert self.isaxes
verts, bboxes, lines, offsets = self._auto_legend_data()
if self._loc_used_default and verts.shape[0] > 200000:
# this size results in a 3+ second render time on a good machine
cbook._warn_external(
'Creating legend with loc="best" can be slow with large '
'amounts of data.'
)
bbox = Bbox.from_bounds(0, 0, width, height)
if consider is None:
consider = [self._get_anchored_bbox(x, bbox,
self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))]
candidates = []
for idx, (l, b) in enumerate(consider):
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
# XXX TODO: If markers are present, it would be good to
# take them into account when checking vertex overlaps in
# the next line.
badness = (legendBox.count_contains(verts)
+ legendBox.count_contains(offsets)
+ legendBox.count_overlaps(bboxes)
+ sum(line.intersects_bbox(legendBox, filled=False)
for line in lines))
if badness == 0:
return l, b
# Include the index to favor lower codes in case of a tie.
candidates.append((badness, idx, (l, b)))
_, _, (l, b) = min(candidates)
return l, b
def contains(self, event):
return self.legendPatch.contains(event)
def set_draggable(self, state, use_blit=False, update='loc'):
"""
Enable or disable mouse dragging support of the legend.
Parameters
----------
state : bool
Whether mouse dragging is enabled.
use_blit : bool, optional
Use blitting for faster image composition. For details see
:ref:`func-animation`.
update : {'loc', 'bbox'}, optional
The legend parameter to be changed when dragged:
- 'loc': update the *loc* parameter of the legend
- 'bbox': update the *bbox_to_anchor* parameter of the legend
Returns
-------
If *state* is ``True`` this returns the `~.DraggableLegend` helper
instance. Otherwise this returns ``None``.
"""
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self,
use_blit,
update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def get_draggable(self):
"""Return ``True`` if the legend is draggable, ``False`` otherwise."""
return self._draggable is not None
def draw(self):
"""
Draw guide
Returns
-------
out : matplotlib.offsetbox.Offsetbox
A drawing of this legend
"""
obverse = slice(0, None)
reverse = slice(None, None, -1)
width = self.barwidth
height = self.barheight
nbars = len(self.bar)
length = height
direction = self.direction
colors = self.bar['color'].tolist()
labels = self.key['label'].tolist()
themeable = self.theme.figure._themeable
# When there is more than one guide, we keep
# record of all of them using lists
if 'legend_title' not in themeable:
themeable['legend_title'] = []
if 'legend_text_colorbar' not in themeable:
themeable['legend_text_colorbar'] = []
# .5 puts the ticks in the middle of the bars when
# raster=False. So when raster=True the ticks are
# in between interpolation points and the matching is
# close though not exactly right.
_from = self.bar['value'].min(), self.bar['value'].max()
tick_locations = rescale(self.key['value'],
(.5, nbars - .5), _from) * length / nbars
if direction == 'horizontal':
width, height = height, width
length = width
if self.reverse:
colors = colors[::-1]
labels = labels[::-1]
tick_locations = length - tick_locations[::-1]
# title #
title_box = TextArea(self.title, textprops=dict(color='black'))
themeable['legend_title'].append(title_box)
# colorbar and ticks #
da = ColoredDrawingArea(width, height, 0, 0)
if self.raster:
add_interpolated_colorbar(da, colors, direction)
else:
add_segmented_colorbar(da, colors, direction)
if self.ticks:
_locations = tick_locations
if not self.draw_ulim:
_locations = _locations[:-1]
if not self.draw_llim:
_locations = _locations[1:]
add_ticks(da, _locations, direction)
# labels #
if self.label:
labels_da, legend_text = create_labels(da, labels, tick_locations,
direction)
themeable['legend_text_colorbar'].extend(legend_text)
else:
labels_da = ColoredDrawingArea(0, 0)
# colorbar + labels #
if direction == 'vertical':
packer, align = HPacker, 'bottom'
align = 'center'
else:
packer, align = VPacker, 'right'
align = 'center'
slc = obverse if self.label_position == 'right' else reverse
if self.label_position in ('right', 'bottom'):
slc = obverse
else:
slc = reverse
main_box = packer(children=[da, labels_da][slc],
sep=self._label_margin,
align=align,
pad=0)
# title + colorbar(with labels) #
lookup = {
'right': (HPacker, reverse),
'left': (HPacker, obverse),
'bottom': (VPacker, reverse),
'top': (VPacker, obverse)
}
packer, slc = lookup[self.title_position]
children = [title_box, main_box][slc]
box = packer(children=children,
sep=self._title_margin,
align=self._title_align,
pad=0)
return box
class Legend(Artist):
"""
Place a legend on the axes at location loc. Labels are a
sequence of strings and loc can be a string or an integer
specifying the legend location
The location codes are::
'best' : 0, (only implemented for axes legends)
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5, (same as 'center right', for back-compatibility)
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10,
loc can be a tuple of the normalized coordinate values with
respect its parent.
"""
codes = {'best': 0, # only implemented for axes legends
'upper right': 1,
'upper left': 2,
'lower left': 3,
'lower right': 4,
'right': 5,
'center left': 6,
'center right': 7,
'lower center': 8,
'upper center': 9,
'center': 10,
}
zorder = 5
def __str__(self):
return "Legend"
def __init__(self, parent, handles, labels,
loc=None,
numpoints=None, # the number of points in the legend line
markerscale=None, # the relative size of legend markers
# vs. original
markerfirst=True, # controls ordering (left-to-right) of
# legend marker and label
scatterpoints=None, # number of scatter points
scatteryoffsets=None,
prop=None, # properties for the legend texts
fontsize=None, # keyword to set font size directly
# spacing & pad defined as a fraction of the font-size
borderpad=None, # the whitespace inside the legend border
labelspacing=None, # the vertical space between the legend
# entries
handlelength=None, # the length of the legend handles
handleheight=None, # the height of the legend handles
handletextpad=None, # the pad between the legend handle
# and text
borderaxespad=None, # the pad between the axes and legend
# border
columnspacing=None, # spacing between columns
ncol=1, # number of columns
mode=None, # mode for horizontal distribution of columns.
# None, "expand"
fancybox=None, # True use a fancy box, false use a rounded
# box, none use rc
shadow=None,
title=None, # set a title for the legend
framealpha=None, # set frame alpha
edgecolor=None, # frame patch edgecolor
facecolor=None, # frame patch facecolor
bbox_to_anchor=None, # bbox that the legend will be anchored.
bbox_transform=None, # transform for the bbox
frameon=None, # draw frame
handler_map=None,
):
"""
- *parent*: the artist that contains the legend
- *handles*: a list of artists (lines, patches) to be added to the
legend
- *labels*: a list of strings to label the legend
Optional keyword arguments:
================ ====================================================
Keyword Description
================ ====================================================
loc Location code string, or tuple (see below).
prop the font property
fontsize the font size (used only if prop is not specified)
markerscale the relative size of legend markers vs. original
markerfirst If True (default), marker is to left of the label.
numpoints the number of points in the legend for line
scatterpoints the number of points in the legend for scatter plot
scatteryoffsets a list of yoffsets for scatter symbols in legend
frameon If True, draw the legend on a patch (frame).
fancybox If True, draw the frame with a round fancybox.
shadow If True, draw a shadow behind legend.
framealpha Transparency of the frame.
edgecolor Frame edgecolor.
facecolor Frame facecolor.
ncol number of columns
borderpad the fractional whitespace inside the legend border
labelspacing the vertical space between the legend entries
handlelength the length of the legend handles
handleheight the height of the legend handles
handletextpad the pad between the legend handle and text
borderaxespad the pad between the axes and legend border
columnspacing the spacing between columns
title the legend title
bbox_to_anchor the bbox that the legend will be anchored.
bbox_transform the transform for the bbox. transAxes if None.
================ ====================================================
The pad and spacing parameters are measured in font-size units. e.g.,
a fontsize of 10 points and a handlelength=5 implies a handlelength of
50 points. Values from rcParams will be used if None.
Users can specify any arbitrary location for the legend using the
*bbox_to_anchor* keyword argument. bbox_to_anchor can be an instance
of BboxBase(or its derivatives) or a tuple of 2 or 4 floats.
See :meth:`set_bbox_to_anchor` for more detail.
The legend location can be specified by setting *loc* with a tuple of
2 floats, which is interpreted as the lower-left corner of the legend
in the normalized axes coordinate.
"""
# local import only to avoid circularity
from matplotlib.axes import Axes
from matplotlib.figure import Figure
Artist.__init__(self)
if prop is None:
if fontsize is not None:
self.prop = FontProperties(size=fontsize)
else:
self.prop = FontProperties(size=rcParams["legend.fontsize"])
elif isinstance(prop, dict):
self.prop = FontProperties(**prop)
if "size" not in prop:
self.prop.set_size(rcParams["legend.fontsize"])
else:
self.prop = prop
self._fontsize = self.prop.get_size_in_points()
self.texts = []
self.legendHandles = []
self._legend_title_box = None
#: A dictionary with the extra handler mappings for this Legend
#: instance.
self._custom_handler_map = handler_map
locals_view = locals()
for name in ["numpoints", "markerscale", "shadow", "columnspacing",
"scatterpoints", "handleheight", 'borderpad',
'labelspacing', 'handlelength', 'handletextpad',
'borderaxespad']:
if locals_view[name] is None:
value = rcParams["legend." + name]
else:
value = locals_view[name]
setattr(self, name, value)
del locals_view
handles = list(handles)
if len(handles) < 2:
ncol = 1
self._ncol = ncol
if self.numpoints <= 0:
raise ValueError("numpoints must be > 0; it was %d" % numpoints)
# introduce y-offset for handles of the scatter plot
if scatteryoffsets is None:
self._scatteryoffsets = np.array([3. / 8., 4. / 8., 2.5 / 8.])
else:
self._scatteryoffsets = np.asarray(scatteryoffsets)
reps = int(self.scatterpoints / len(self._scatteryoffsets)) + 1
self._scatteryoffsets = np.tile(self._scatteryoffsets,
reps)[:self.scatterpoints]
# _legend_box is an OffsetBox instance that contains all
# legend items and will be initialized from _init_legend_box()
# method.
self._legend_box = None
if isinstance(parent, Axes):
self.isaxes = True
self.axes = parent
self.set_figure(parent.figure)
elif isinstance(parent, Figure):
self.isaxes = False
self.set_figure(parent)
else:
raise TypeError("Legend needs either Axes or Figure as parent")
self.parent = parent
if loc is None:
loc = rcParams["legend.loc"]
if not self.isaxes and loc in [0, 'best']:
loc = 'upper right'
if isinstance(loc, six.string_types):
if loc not in self.codes:
if self.isaxes:
warnings.warn('Unrecognized location "%s". Falling back '
'on "best"; valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes)))
loc = 0
else:
warnings.warn('Unrecognized location "%s". Falling back '
'on "upper right"; '
'valid locations are\n\t%s\n'
% (loc, '\n\t'.join(self.codes)))
loc = 1
else:
loc = self.codes[loc]
if not self.isaxes and loc == 0:
warnings.warn('Automatic legend placement (loc="best") not '
'implemented for figure legend. '
'Falling back on "upper right".')
loc = 1
self._mode = mode
self.set_bbox_to_anchor(bbox_to_anchor, bbox_transform)
# We use FancyBboxPatch to draw a legend frame. The location
# and size of the box will be updated during the drawing time.
if facecolor is None:
facecolor = rcParams["legend.facecolor"]
if facecolor == 'inherit':
facecolor = rcParams["axes.facecolor"]
if edgecolor is None:
edgecolor = rcParams["legend.edgecolor"]
if edgecolor == 'inherit':
edgecolor = rcParams["axes.edgecolor"]
self.legendPatch = FancyBboxPatch(
xy=(0.0, 0.0), width=1., height=1.,
facecolor=facecolor,
edgecolor=edgecolor,
mutation_scale=self._fontsize,
snap=True
)
# The width and height of the legendPatch will be set (in the
# draw()) to the length that includes the padding. Thus we set
# pad=0 here.
if fancybox is None:
fancybox = rcParams["legend.fancybox"]
if fancybox:
self.legendPatch.set_boxstyle("round", pad=0,
rounding_size=0.2)
else:
self.legendPatch.set_boxstyle("square", pad=0)
self._set_artist_props(self.legendPatch)
self._drawFrame = frameon
if frameon is None:
self._drawFrame = rcParams["legend.frameon"]
# init with null renderer
self._init_legend_box(handles, labels, markerfirst)
if framealpha is None:
self.get_frame().set_alpha(rcParams["legend.framealpha"])
else:
self.get_frame().set_alpha(framealpha)
self._loc = loc
self.set_title(title)
self._last_fontsize_points = self._fontsize
self._draggable = None
def _set_artist_props(self, a):
"""
set the boilerplate props for artists added to axes
"""
a.set_figure(self.figure)
if self.isaxes:
# a.set_axes(self.axes)
a.axes = self.axes
a.set_transform(self.get_transform())
def _set_loc(self, loc):
# find_offset function will be provided to _legend_box and
# _legend_box will draw itself at the location of the return
# value of the find_offset.
self._loc_real = loc
self.stale = True
def _get_loc(self):
return self._loc_real
_loc = property(_get_loc, _set_loc)
def _findoffset(self, width, height, xdescent, ydescent, renderer):
"Helper function to locate the legend"
if self._loc == 0: # "best".
x, y = self._find_best_position(width, height, renderer)
elif self._loc in Legend.codes.values(): # Fixed location.
bbox = Bbox.from_bounds(0, 0, width, height)
x, y = self._get_anchored_bbox(self._loc, bbox,
self.get_bbox_to_anchor(),
renderer)
else: # Axes or figure coordinates.
fx, fy = self._loc
bbox = self.get_bbox_to_anchor()
x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy
return x + xdescent, y + ydescent
@allow_rasterization
def draw(self, renderer):
"Draw everything that belongs to the legend"
if not self.get_visible():
return
renderer.open_group('legend')
fontsize = renderer.points_to_pixels(self._fontsize)
# if mode == fill, set the width of the legend_box to the
# width of the paret (minus pads)
if self._mode in ["expand"]:
pad = 2 * (self.borderaxespad + self.borderpad) * fontsize
self._legend_box.set_width(self.get_bbox_to_anchor().width - pad)
# update the location and size of the legend. This needs to
# be done in any case to clip the figure right.
bbox = self._legend_box.get_window_extent(renderer)
self.legendPatch.set_bounds(bbox.x0, bbox.y0,
bbox.width, bbox.height)
self.legendPatch.set_mutation_scale(fontsize)
if self._drawFrame:
if self.shadow:
shadow = Shadow(self.legendPatch, 2, -2)
shadow.draw(renderer)
self.legendPatch.draw(renderer)
self._legend_box.draw(renderer)
renderer.close_group('legend')
self.stale = False
def _approx_text_height(self, renderer=None):
"""
Return the approximate height of the text. This is used to place
the legend handle.
"""
if renderer is None:
return self._fontsize
else:
return renderer.points_to_pixels(self._fontsize)
# _default_handler_map defines the default mapping between plot
# elements and the legend handlers.
_default_handler_map = {
StemContainer: legend_handler.HandlerStem(),
ErrorbarContainer: legend_handler.HandlerErrorbar(),
Line2D: legend_handler.HandlerLine2D(),
Patch: legend_handler.HandlerPatch(),
LineCollection: legend_handler.HandlerLineCollection(),
RegularPolyCollection: legend_handler.HandlerRegularPolyCollection(),
CircleCollection: legend_handler.HandlerCircleCollection(),
BarContainer: legend_handler.HandlerPatch(
update_func=legend_handler.update_from_first_child),
tuple: legend_handler.HandlerTuple(),
PathCollection: legend_handler.HandlerPathCollection(),
PolyCollection: legend_handler.HandlerPolyCollection()
}
# (get|set|update)_default_handler_maps are public interfaces to
# modify the default handler map.
@classmethod
def get_default_handler_map(cls):
"""
A class method that returns the default handler map.
"""
return cls._default_handler_map
@classmethod
def set_default_handler_map(cls, handler_map):
"""
A class method to set the default handler map.
"""
cls._default_handler_map = handler_map
@classmethod
def update_default_handler_map(cls, handler_map):
"""
A class method to update the default handler map.
"""
cls._default_handler_map.update(handler_map)
def get_legend_handler_map(self):
"""
return the handler map.
"""
default_handler_map = self.get_default_handler_map()
if self._custom_handler_map:
hm = default_handler_map.copy()
hm.update(self._custom_handler_map)
return hm
else:
return default_handler_map
@staticmethod
def get_legend_handler(legend_handler_map, orig_handle):
"""
return a legend handler from *legend_handler_map* that
corresponds to *orig_handler*.
*legend_handler_map* should be a dictionary object (that is
returned by the get_legend_handler_map method).
It first checks if the *orig_handle* itself is a key in the
*legend_hanler_map* and return the associated value.
Otherwise, it checks for each of the classes in its
method-resolution-order. If no matching key is found, it
returns None.
"""
if is_hashable(orig_handle):
try:
return legend_handler_map[orig_handle]
except KeyError:
pass
for handle_type in type(orig_handle).mro():
try:
return legend_handler_map[handle_type]
except KeyError:
pass
return None
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#using-proxy-artist".format(orig_handle)
)
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0., ydescent=descent)
handleboxes.append(handlebox)
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(handler.legend_artist(self, orig_handle,
fontsize, handlebox))
if handleboxes:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
rows_per_col = [nrows + 1] * num_largecol + [nrows] * num_smallcol
start_idxs = np.concatenate([[0], np.cumsum(rows_per_col)[:-1]])
cols = zip(start_idxs, rows_per_col)
else:
cols = []
handle_label = list(zip(handleboxes, labelboxes))
columnbox = []
for i0, di in cols:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad * fontsize,
children=[h, t] if markerfirst else [t, h],
align="baseline")
for h, t in handle_label[i0:i0 + di]]
# minimumdescent=False for the text of the last row of the column
if markerfirst:
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
else:
itemBoxes[-1].get_children()[0].set_minimumdescent(False)
# pack columnBox
alignment = "baseline" if markerfirst else "right"
columnbox.append(VPacker(pad=0,
sep=self.labelspacing * fontsize,
align=alignment,
children=itemBoxes))
mode = "expand" if self._mode == "expand" else "fixed"
sep = self.columnspacing * fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad * fontsize,
sep=self.labelspacing * fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self._legend_box.set_offset(self._findoffset)
self.texts = text_list
self.legendHandles = handle_list
def _auto_legend_data(self):
"""
Returns list of vertices and extents covered by the plot.
Returns a two long list.
First element is a list of (x, y) vertices (in
display-coordinates) covered by all the lines and line
collections, in the legend's handles.
Second element is a list of bounding boxes for all the patches in
the legend's handles.
"""
# should always hold because function is only called internally
assert self.isaxes
ax = self.parent
bboxes = []
lines = []
offsets = []
for handle in ax.lines:
assert isinstance(handle, Line2D)
path = handle.get_path()
trans = handle.get_transform()
tpath = trans.transform_path(path)
lines.append(tpath)
for handle in ax.patches:
assert isinstance(handle, Patch)
if isinstance(handle, Rectangle):
transform = handle.get_data_transform()
bboxes.append(handle.get_bbox().transformed(transform))
else:
transform = handle.get_transform()
bboxes.append(handle.get_path().get_extents(transform))
for handle in ax.collections:
transform, transOffset, hoffsets, paths = handle._prepare_points()
if len(hoffsets):
for offset in transOffset.transform(hoffsets):
offsets.append(offset)
try:
vertices = np.concatenate([l.vertices for l in lines])
except ValueError:
vertices = np.array([])
return [vertices, bboxes, lines, offsets]
def draw_frame(self, b):
'b is a boolean. Set draw frame to b'
self.set_frame_on(b)
def get_children(self):
'return a list of child artists'
children = []
if self._legend_box:
children.append(self._legend_box)
children.append(self.get_frame())
return children
def get_frame(self):
'return the Rectangle instance used to frame the legend'
return self.legendPatch
def get_lines(self):
'return a list of lines.Line2D instances in the legend'
return [h for h in self.legendHandles if isinstance(h, Line2D)]
def get_patches(self):
'return a list of patch instances in the legend'
return silent_list('Patch',
[h for h in self.legendHandles
if isinstance(h, Patch)])
def get_texts(self):
'return a list of text.Text instance in the legend'
return silent_list('Text', self.texts)
def set_title(self, title, prop=None):
"""
set the legend title. Fontproperties can be optionally set
with *prop* parameter.
"""
self._legend_title_box._text.set_text(title)
if prop is not None:
if isinstance(prop, dict):
prop = FontProperties(**prop)
self._legend_title_box._text.set_fontproperties(prop)
if title:
self._legend_title_box.set_visible(True)
else:
self._legend_title_box.set_visible(False)
self.stale = True
def get_title(self):
'return Text instance for the legend title'
return self._legend_title_box._text
def get_window_extent(self, *args, **kwargs):
'return a extent of the legend'
return self.legendPatch.get_window_extent(*args, **kwargs)
def get_frame_on(self):
"""
Get whether the legend box patch is drawn
"""
return self._drawFrame
def set_frame_on(self, b):
"""
Set whether the legend box patch is drawn
ACCEPTS: [ *True* | *False* ]
"""
self._drawFrame = b
self.stale = True
def get_bbox_to_anchor(self):
"""
return the bbox that the legend will be anchored
"""
if self._bbox_to_anchor is None:
return self.parent.bbox
else:
return self._bbox_to_anchor
def set_bbox_to_anchor(self, bbox, transform=None):
"""
set the bbox that the legend will be anchored.
*bbox* can be a BboxBase instance, a tuple of [left, bottom,
width, height] in the given transform (normalized axes
coordinate if None), or a tuple of [left, bottom] where the
width and height will be assumed to be zero.
"""
if bbox is None:
self._bbox_to_anchor = None
return
elif isinstance(bbox, BboxBase):
self._bbox_to_anchor = bbox
else:
try:
l = len(bbox)
except TypeError:
raise ValueError("Invalid argument for bbox : %s" % str(bbox))
if l == 2:
bbox = [bbox[0], bbox[1], 0, 0]
self._bbox_to_anchor = Bbox.from_bounds(*bbox)
if transform is None:
transform = BboxTransformTo(self.parent.bbox)
self._bbox_to_anchor = TransformedBbox(self._bbox_to_anchor,
transform)
self.stale = True
def _get_anchored_bbox(self, loc, bbox, parentbbox, renderer):
"""
Place the *bbox* inside the *parentbbox* according to a given
location code. Return the (x,y) coordinate of the bbox.
- loc: a location code in range(1, 11).
This corresponds to the possible values for self._loc, excluding
"best".
- bbox: bbox to be placed, display coodinate units.
- parentbbox: a parent box which will contain the bbox. In
display coordinates.
"""
assert loc in range(1, 11) # called only internally
BEST, UR, UL, LL, LR, R, CL, CR, LC, UC, C = list(xrange(11))
anchor_coefs = {UR: "NE",
UL: "NW",
LL: "SW",
LR: "SE",
R: "E",
CL: "W",
CR: "E",
LC: "S",
UC: "N",
C: "C"}
c = anchor_coefs[loc]
fontsize = renderer.points_to_pixels(self._fontsize)
container = parentbbox.padded(-(self.borderaxespad) * fontsize)
anchored_box = bbox.anchored(c, container=container)
return anchored_box.x0, anchored_box.y0
def _find_best_position(self, width, height, renderer, consider=None):
"""
Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are display coords.
"""
# should always hold because function is only called internally
assert self.isaxes
verts, bboxes, lines, offsets = self._auto_legend_data()
bbox = Bbox.from_bounds(0, 0, width, height)
if consider is None:
consider = [self._get_anchored_bbox(x, bbox,
self.get_bbox_to_anchor(),
renderer)
for x in range(1, len(self.codes))]
candidates = []
for idx, (l, b) in enumerate(consider):
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
# XXX TODO: If markers are present, it would be good to
# take them into account when checking vertex overlaps in
# the next line.
badness = (legendBox.count_contains(verts)
+ legendBox.count_contains(offsets)
+ legendBox.count_overlaps(bboxes)
+ sum(line.intersects_bbox(legendBox, filled=False)
for line in lines))
if badness == 0:
return l, b
# Include the index to favor lower codes in case of a tie.
candidates.append((badness, idx, (l, b)))
_, _, (l, b) = min(candidates)
return l, b
def contains(self, event):
return self.legendPatch.contains(event)
def draggable(self, state=None, use_blit=False, update="loc"):
"""
Set the draggable state -- if state is
* None : toggle the current state
* True : turn draggable on
* False : turn draggable off
If draggable is on, you can drag the legend on the canvas with
the mouse. The DraggableLegend helper instance is returned if
draggable is on.
The update parameter control which parameter of the legend changes
when dragged. If update is "loc", the *loc* parameter of the legend
is changed. If "bbox", the *bbox_to_anchor* parameter is changed.
"""
is_draggable = self._draggable is not None
# if state is None we'll toggle
if state is None:
state = not is_draggable
if state:
if self._draggable is None:
self._draggable = DraggableLegend(self,
use_blit,
update=update)
else:
if self._draggable is not None:
self._draggable.disconnect()
self._draggable = None
return self._draggable
def make_title(title):
title = title.title()
return TextArea(" %s " % title,
textprops=dict(color="k", fontweight="bold"))
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
height = self._approx_text_height() * 0.7
descent = 0.
for handle, lab in zip(handles, labels):
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
npoints = self.scatterpoints
else:
npoints = self.numpoints
if npoints > 1:
xdata = np.linspace(0.3*fontsize,
(self.handlelength-0.3)*fontsize,
npoints)
xdata_marker = xdata
elif npoints == 1:
xdata = np.linspace(0, self.handlelength*fontsize, 2)
xdata_marker = [0.5*self.handlelength*fontsize]
if isinstance(handle, Line2D):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
legline.update_from(handle)
self._set_artist_props(legline) # after update
legline.set_clip_box(None)
legline.set_clip_path(None)
legline.set_drawstyle('default')
legline.set_marker('None')
handle_list.append(legline)
legline_marker = Line2D(xdata_marker, ydata[:len(xdata_marker)])
legline_marker.update_from(handle)
self._set_artist_props(legline_marker)
legline_marker.set_clip_box(None)
legline_marker.set_clip_path(None)
legline_marker.set_linestyle('None')
legline._legmarker = legline_marker
elif isinstance(handle, Patch):
p = Rectangle(xy=(0., 0.),
width = self.handlelength*fontsize,
height=(height-descent),
)
p.update_from(handle)
self._set_artist_props(p)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, LineCollection):
ydata = ((height-descent)/2.)*np.ones(xdata.shape, float)
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
if dashes[0] is not None: # dashed line
legline.set_dashes(dashes[1])
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
elif isinstance(handle, CircleCollection):
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_type = type(handle)
warnings.warn("Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n" % (str(handle_type),))
handle_list.append(None)
handle = handle_list[-1]
if handle is not None: # handle is None is the artist is not supproted
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handlebox.add_artist(handle)
if isinstance(handle, RegularPolyCollection) or \
isinstance(handle, CircleCollection):
handle._transOffset = handlebox.get_transform()
handle.set_transform(None)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad*fontsize,
sep=self.labelspacing*fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
height = [23, 4, 10, 9, 10]
# arrange plot size and colours
bars = ['Collaboration', 'Excellence', 'Creativity', 'Confidence', 'None']
y_pos = np.arange(len(bars))
fig, ax = plt.subplots(1, 1)
ax.grid(zorder=0)
ax.bar(y_pos,
height,
width=0.5,
align='center',
color=['skyblue', 'yellow', 'pink', 'green', 'orange'])
# value labels
plt.xticks([])
xbox1 = TextArea("Collaboration", textprops=dict(color="darkblue", size=11))
xbox2 = TextArea("Excellence", textprops=dict(color="#ffbf00", size=11))
xbox3 = TextArea("Creativity", textprops=dict(color="#ff00ff", size=11))
xbox4 = TextArea("Confidence", textprops=dict(color="green", size=11))
xbox5 = TextArea(" None", textprops=dict(color="#ff8000", size=11))
xbox = HPacker(children=[xbox1, xbox2, xbox3, xbox4, xbox5],
align="center",
pad=0,
sep=5)
anchored_xbox = AnchoredOffsetbox(loc=3,
child=xbox,
pad=0.,
frameon=False,
bbox_to_anchor=(0.01, 0.5),
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35*self._approx_text_height()*(self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers. this may need to be improbed
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn("Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n" % (str(orig_handle),))
handle_list.append(None)
continue
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handle = handler(self, orig_handle, \
#xdescent, ydescent, width, height,
fontsize,
handlebox)
handle_list.append(handle)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_handle_box = HPacker(pad=0,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_title_box = TextArea("")
self._legend_box = VPacker(pad=self.borderpad*fontsize,
sep=self.labelspacing*fontsize,
align="center",
children=[self._legend_title_box,
self._legend_handle_box])
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
break
else:
ber4.append(float(row[-1]))
line_count += 1
print(len(ber4))
fig,ax = plt.subplots()
ax.set_ylim(0,1.0)
for i in range(len(ber1)):
p1, = ax.plot(i, ber1[i], ".r")
p2, = ax.plot(i, ber2[i], ".g")
p3, = ax.plot(i, ber3[i], ".b")
p4, = ax.plot(i, ber4[i], ".y")
if i==0:
# Annotate the 1st position with a text box ('Test 1')
offsetbox1 = TextArea("Type1", minimumdescent=False)
ab = AnnotationBbox(offsetbox1, (i,0.4),
xybox=(1., -1.),
xycoords='data',
boxcoords="offset points",
arrowprops=dict(arrowstyle="->"))
ax.add_artist(ab)
# Annotate the 1st position with a text box ('Test 1')
offsetbox2 = TextArea("Type2", minimumdescent=False)
ab = AnnotationBbox(offsetbox2, (i, 0.5),
xybox=(1., -1.),
xycoords='data',
boxcoords="offset points",
def do_plot(self, wallet, history):
balance_Val=[]
fee_val=[]
value_val=[]
datenums=[]
unknown_trans = 0
pending_trans = 0
counter_trans = 0
balance = 0
for item in history:
tx_hash, confirmations, value, timestamp, balance = item
if confirmations:
if timestamp is not None:
try:
datenums.append(md.date2num(datetime.datetime.fromtimestamp(timestamp)))
balance_Val.append(1000.*balance/COIN)
except [RuntimeError, TypeError, NameError] as reason:
unknown_trans += 1
pass
else:
unknown_trans += 1
else:
pending_trans += 1
value_val.append(1000.*value/COIN)
if tx_hash:
label, is_default_label = wallet.get_label(tx_hash)
label = label.encode('utf-8')
else:
label = ""
f, axarr = plt.subplots(2, sharex=True)
plt.subplots_adjust(bottom=0.2)
plt.xticks( rotation=25 )
ax=plt.gca()
x=19
test11="Unknown transactions = "+str(unknown_trans)+" Pending transactions = "+str(pending_trans)+" ."
box1 = TextArea(" Test : Number of pending transactions", textprops=dict(color="k"))
box1.set_text(test11)
box = HPacker(children=[box1],
align="center",
pad=0.1, sep=15)
anchored_box = AnchoredOffsetbox(loc=3,
child=box, pad=0.5,
frameon=True,
bbox_to_anchor=(0.5, 1.02),
bbox_transform=ax.transAxes,
borderpad=0.5,
)
ax.add_artist(anchored_box)
plt.ylabel('mBTC')
plt.xlabel('Dates')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[0].plot(datenums,balance_Val,marker='o',linestyle='-',color='blue',label='Balance')
axarr[0].legend(loc='upper left')
axarr[0].set_title('History Transactions')
xfmt = md.DateFormatter('%Y-%m-%d')
ax.xaxis.set_major_formatter(xfmt)
axarr[1].plot(datenums,value_val,marker='o',linestyle='-',color='green',label='Value')
axarr[1].legend(loc='upper left')
# plt.annotate('unknown transaction = %d \n pending transactions = %d' %(unknown_trans,pending_trans),xy=(0.7,0.05),xycoords='axes fraction',size=12)
plt.show()
def do_plot(self, wallet):
history = wallet.get_tx_history()
balance_Val = []
fee_val = []
value_val = []
datenums = []
unknown_trans = 0
pending_trans = 0
counter_trans = 0
for item in history:
tx_hash, confirmations, is_mine, value, fee, balance, timestamp = item
if confirmations:
if timestamp is not None:
try:
datenums.append(md.date2num(datetime.datetime.fromtimestamp(timestamp)))
balance_string = format_satoshis(balance, False)
balance_Val.append(float((format_satoshis(balance, False))) * 1000.0)
except [RuntimeError, TypeError, NameError] as reason:
unknown_trans = unknown_trans + 1
pass
else:
unknown_trans = unknown_trans + 1
else:
pending_trans = pending_trans + 1
if value is not None:
value_string = format_satoshis(value, True)
value_val.append(float(value_string) * 1000.0)
else:
value_string = "--"
if fee is not None:
fee_string = format_satoshis(fee, True)
fee_val.append(float(fee_string))
else:
fee_string = "0"
if tx_hash:
label, is_default_label = wallet.get_label(tx_hash)
label = label.encode("utf-8")
else:
label = ""
f, axarr = plt.subplots(2, sharex=True)
plt.subplots_adjust(bottom=0.2)
plt.xticks(rotation=25)
ax = plt.gca()
x = 19
test11 = (
"Unknown transactions = " + str(unknown_trans) + " Pending transactions = " + str(pending_trans) + " ."
)
box1 = TextArea(" Test : Number of pending transactions", textprops=dict(color="k"))
box1.set_text(test11)
box = HPacker(children=[box1], align="center", pad=0.1, sep=15)
anchored_box = AnchoredOffsetbox(
loc=3,
child=box,
pad=0.5,
frameon=True,
bbox_to_anchor=(0.5, 1.02),
bbox_transform=ax.transAxes,
borderpad=0.5,
)
ax.add_artist(anchored_box)
plt.ylabel("mBTC")
plt.xlabel("Dates")
xfmt = md.DateFormatter("%Y-%m-%d")
ax.xaxis.set_major_formatter(xfmt)
axarr[0].plot(datenums, balance_Val, marker="o", linestyle="-", color="blue", label="Balance")
axarr[0].legend(loc="upper left")
axarr[0].set_title("History Transactions")
xfmt = md.DateFormatter("%Y-%m-%d")
ax.xaxis.set_major_formatter(xfmt)
axarr[1].plot(datenums, fee_val, marker="o", linestyle="-", color="red", label="Fee")
axarr[1].plot(datenums, value_val, marker="o", linestyle="-", color="green", label="Value")
axarr[1].legend(loc="upper left")
# plt.annotate('unknown transaction = %d \n pending transactions = %d' %(unknown_trans,pending_trans),xy=(0.7,0.05),xycoords='axes fraction',size=12)
plt.show()
