def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=1.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
figsize is a w,h tuple in inches
dpi is dots per inch
subplotpars is a SubplotParams instance, defaults to rc
"""
Artist.__init__(self)
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self._dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self._dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.figurePatch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
self._autoLayout = rcParams['figure.autolayout']
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=1.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if False, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
self.patch = self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.patch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
def set_clip_path(self, path, transform=None):
"""
Set the artist's clip path, which may be:
* a :class:`~matplotlib.patches.Patch` (or subclass) instance
* a :class:`~matplotlib.path.Path` instance, in which case
an optional :class:`~matplotlib.transforms.Transform`
instance may be provided, which will be applied to the
path before using it for clipping.
* *None*, to remove the clipping path
For efficiency, if the path happens to be an axis-aligned
rectangle, this method will set the clipping box to the
corresponding rectangle and set the clipping path to *None*.
ACCEPTS: [ (:class:`~matplotlib.path.Path`,
:class:`~matplotlib.transforms.Transform`) |
:class:`~matplotlib.patches.Patch` | None ]
"""
from matplotlib.patches import Patch, Rectangle
success = False
if transform is None:
if isinstance(path, Rectangle):
self.clipbox = TransformedBbox(Bbox.unit(),
path.get_transform())
self._clippath = None
success = True
elif isinstance(path, Patch):
self._clippath = TransformedPath(
path.get_path(),
path.get_transform())
success = True
elif isinstance(path, tuple):
path, transform = path
if path is None:
self._clippath = None
success = True
elif isinstance(path, Path):
self._clippath = TransformedPath(path, transform)
success = True
elif isinstance(path, TransformedPath):
self._clippath = path
success = True
if not success:
print(type(path), type(transform))
raise TypeError("Invalid arguments to set_clip_path")
self.pchanged()
def __init__(self,
figsize = None, # defaults to rc figure.figsize
dpi = None, # defaults to rc figure.dpi
facecolor = None, # defaults to rc figure.facecolor
edgecolor = None, # defaults to rc figure.edgecolor
linewidth = 1.0, # the default linewidth of the frame
frameon = True, # whether or not to draw the figure frame
subplotpars = None, # default to rc
):
"""
figsize is a w,h tuple in inches
dpi is dots per inch
subplotpars is a SubplotParams instance, defaults to rc
"""
Artist.__init__(self)
if figsize is None : figsize = rcParams['figure.figsize']
if dpi is None : dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self._dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self._dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
self.figurePatch = Rectangle(
xy=(0,0), width=1, height=1,
facecolor=facecolor, edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.figurePatch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
self._autoLayout = rcParams['figure.autolayout']
def set_clip_path(self, path, transform=None):
"""
Set the artist's clip path, which may be:
a) a Patch (or subclass) instance
b) a Path instance, in which cas aoptional transform may
be provided, which will be applied to the path before using it
for clipping.
c) None, to remove the clipping path
For efficiency, if the path happens to be an axis-aligned
rectangle, this method will set the clipping box to the
corresponding rectangle and set the clipping path to None.
ACCEPTS: a Path instance and a Transform instance, a Patch
instance, or None
"""
from patches import Patch, Rectangle
success = False
if transform is None:
if isinstance(path, Rectangle):
self.clipbox = TransformedBbox(Bbox.unit(),
path.get_transform())
self._clippath = None
success = True
elif isinstance(path, Patch):
self._clippath = TransformedPath(path.get_path(),
path.get_transform())
success = True
if path is None:
self._clippath = None
success = True
elif isinstance(path, Path):
self._clippath = TransformedPath(path, transform)
success = True
if not success:
print type(path), type(transform)
raise TypeError("Invalid arguments to set_clip_path")
self._clipon = self.clipbox is not None or self._clippath is not None
self.pchanged()
def get_tightbbox(self, renderer):
"""
Return a (tight) bounding box of the figure in inches.
It only accounts axes title, axis labels, and axis
ticklabels. Needs improvement.
"""
bb = []
for ax in self.axes:
if ax.get_visible():
bb.append(ax.get_tightbbox(renderer))
_bbox = Bbox.union([b for b in bb if b.width != 0 or b.height != 0])
bbox_inches = TransformedBbox(_bbox, Affine2D().scale(1. / self.dpi))
return bbox_inches
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=0.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if ``False``, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry()
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.patch)
self.patch.set_aa(False)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = AxesStack() # track all figure axes and current axes
self.clf()
self._cachedRenderer = None
class Figure(Artist):
"""
The Figure instance supports callbacks through a *callbacks*
attribute which is a :class:`matplotlib.cbook.CallbackRegistry`
instance. The events you can connect to are 'dpi_changed', and
the callback will be called with ``func(fig)`` where fig is the
:class:`Figure` instance.
*patch*
The figure patch is drawn by a
:class:`matplotlib.patches.Rectangle` instance
*suppressComposite*
For multiple figure images, the figure will make composite
images depending on the renderer option_image_nocomposite
function. If suppressComposite is True|False, this will
override the renderer
"""
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=0.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if ``False``, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry()
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.patch)
self.patch.set_aa(False)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = AxesStack() # track all figure axes and current axes
self.clf()
self._cachedRenderer = None
def _get_axes(self):
return self._axstack.as_list()
axes = property(fget=_get_axes, doc="Read-only: list of axes in Figure")
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self.dpi_scale_trans.clear().scale(dpi, dpi)
self.callbacks.process('dpi_changed', self)
dpi = property(_get_dpi, _set_dpi)
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
*bottom*
the bottom of the subplots for :meth:`subplots_adjust`
*rotation*
the rotation of the xtick labels
*ha*
the horizontal alignment of the xticklabels
"""
allsubplots = np.alltrue(
[hasattr(ax, 'is_last_row') for ax in self.axes])
if len(self.axes) == 1:
for label in self.axes[0].get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel('')
if allsubplots:
self.subplots_adjust(bottom=bottom)
def get_children(self):
'get a list of artists contained in the figure'
children = [self.patch]
children.extend(self.artists)
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""
Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains): return self._contains(self, mouseevent)
#inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x, mouseevent.y)
return inside, {}
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space; kwargs are void'
return self.bbox
def suptitle(self, t, **kwargs):
"""
Add a centered title to the figure.
kwargs are :class:`matplotlib.text.Text` properties. Using figure
coordinates, the defaults are:
- *x* = 0.5
the x location of text in figure coords
- *y* = 0.98
the y location of the text in figure coords
- *horizontalalignment* = 'center'
the horizontal alignment of the text
- *verticalalignment* = 'top'
the vertical alignment of the text
A :class:`matplotlib.text.Text` instance is returned.
Example::
fig.suptitle('this is the figure title', fontsize=12)
"""
x = kwargs.pop('x', 0.5)
y = kwargs.pop('y', 0.98)
if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs):
kwargs['horizontalalignment'] = 'center'
if ('verticalalignment' not in kwargs) and ('va' not in kwargs):
kwargs['verticalalignment'] = 'top'
t = self.text(x, y, t, **kwargs)
return t
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None: self._hold = not self._hold
else: self._hold = b
def figimage(self,
X,
xo=0,
yo=0,
alpha=None,
norm=None,
cmap=None,
vmin=None,
vmax=None,
origin=None,
**kwargs):
"""
call signatures::
figimage(X, **kwargs)
adds a non-resampled array *X* to the figure.
::
figimage(X, xo, yo)
with pixel offsets *xo*, *yo*,
*X* must be a float array:
* If *X* is MxN, assume luminance (grayscale)
* If *X* is MxNx3, assume RGB
* If *X* is MxNx4, assume RGBA
Optional keyword arguments:
========= ==========================================================
Keyword Description
========= ==========================================================
xo or yo An integer, the *x* and *y* image offset in pixels
cmap a :class:`matplotlib.cm.ColorMap` instance, eg cm.jet.
If None, default to the rc ``image.cmap`` value
norm a :class:`matplotlib.colors.Normalize` instance. The
default is normalization(). This scales luminance -> 0-1
vmin|vmax are used to scale a luminance image to 0-1. If either is
None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for
*vmin* and *vmax* will be ignored.
alpha the alpha blending value, default is None
origin [ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
========= ==========================================================
figimage complements the axes image
(:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled
to fit the current axes. If you want a resampled image to
fill the entire figure, you can define an
:class:`~matplotlib.axes.Axes` with size [0,1,0,1].
An :class:`matplotlib.image.FigureImage` instance is returned.
.. plot:: mpl_examples/pylab_examples/figimage_demo.py
Additional kwargs are Artist kwargs passed on to
:class:`~matplotlib.image.FigureImage`
"""
if not self._hold: self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin, **kwargs)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage::
fig.set_size_inches(w,h) # OR
fig.set_size_inches((w,h) )
optional kwarg *forward=True* will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get('forward', False)
if len(args) == 1:
w, h = args[0]
else:
w, h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w * dpival
canvash = h * dpival
manager = getattr(self.canvas, 'manager', None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
'Get the edge color of the Figure rectangle'
return self.patch.get_edgecolor()
def get_facecolor(self):
'Get the face color of the Figure rectangle'
return self.patch.get_facecolor()
def get_figwidth(self):
'Return the figwidth as a float'
return self.bbox_inches.width
def get_figheight(self):
'Return the figheight as a float'
return self.bbox_inches.height
def get_dpi(self):
'Return the dpi as a float'
return self.dpi
def get_frameon(self):
'get the boolean indicating frameon'
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
'remove a from the figure and update the current axes'
self._axstack.remove(a)
for func in self._axobservers:
func(self)
def _make_key(self, *args, **kwargs):
'make a hashable key out of args and kwargs'
def fixitems(items):
#items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k, v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a): a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.iteritems())
return key
@docstring.dedent_interpd
def add_axes(self, *args, **kwargs):
"""
Add an axes at position *rect* [*left*, *bottom*, *width*,
*height*] where all quantities are in fractions of figure
width and height. kwargs are legal
:class:`~matplotlib.axes.Axes` kwargs plus *projection* which
sets the projection type of the axes. (For backward
compatibility, ``polar=True`` may also be provided, which is
equivalent to ``projection='polar'``). Valid values for
*projection* are: %(projection_names)s. Some of these
projections support additional kwargs, which may be provided
to :meth:`add_axes`. Typical usage::
rect = l,b,w,h
fig.add_axes(rect)
fig.add_axes(rect, frameon=False, axisbg='g')
fig.add_axes(rect, polar=True)
fig.add_axes(rect, projection='polar')
fig.add_axes(ax)
If the figure already has an axes with the same parameters,
then it will simply make that axes current and return it. If
you do not want this behavior, e.g. you want to force the
creation of a new Axes, you must use a unique set of args and
kwargs. The axes :attr:`~matplotlib.axes.Axes.label`
attribute has been exposed for this purpose. Eg., if you want
two axes that are otherwise identical to be added to the
figure, make sure you give them unique labels::
fig.add_axes(rect, label='axes1')
fig.add_axes(rect, label='axes2')
In rare circumstances, add_axes may be called with a single
argument, an Axes instance already created in the present
figure but not in the figure's list of axes. For example,
if an axes has been removed with :meth:`delaxes`, it can
be restored with::
fig.add_axes(ax)
In all cases, the :class:`~matplotlib.axes.Axes` instance
will be returned.
In addition to *projection*, the following kwargs are supported:
%(Axes)s
"""
if not len(args): return
key = self._make_key(*args, **kwargs)
ax = self._axstack.get(key)
if ax is not None:
self.sca(ax)
return ax
if isinstance(args[0], Axes):
a = args[0]
assert (a.get_figure() is self)
else:
rect = args[0]
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
a = projection_factory(projection, self, rect, **kwargs)
self._axstack.add(key, a)
self.sca(a)
return a
@docstring.dedent_interpd
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples:
fig.add_subplot(111)
fig.add_subplot(1,1,1) # equivalent but more general
fig.add_subplot(212, axisbg='r') # add subplot with red background
fig.add_subplot(111, polar=True) # add a polar subplot
fig.add_subplot(sub) # add Subplot instance sub
*kwargs* are legal :class:`!matplotlib.axes.Axes` kwargs plus
*projection*, which chooses a projection type for the axes.
(For backward compatibility, *polar=True* may also be
provided, which is equivalent to *projection='polar'*). Valid
values for *projection* are: %(projection_names)s. Some of these projections
support additional *kwargs*, which may be provided to
:meth:`add_axes`.
The :class:`~matplotlib.axes.Axes` instance will be returned.
If the figure already has a subplot with key (*args*,
*kwargs*) then it will simply make that subplot current and
return it.
The following kwargs are supported:
%(Axes)s
"""
if not len(args): return
if len(args) == 1 and isinstance(args[0], int):
args = tuple([int(c) for c in str(args[0])])
if isinstance(args[0], SubplotBase):
a = args[0]
assert (a.get_figure() is self)
key = self._make_key(*args, **kwargs)
else:
kwargs = kwargs.copy()
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
# Remake the key without projection kwargs:
key = self._make_key(*args, **kwargs)
ax = self._axstack.get(key)
if ax is not None:
if isinstance(ax, projection_class):
self.sca(ax)
return ax
else:
self._axstack.remove(ax)
# Undocumented convenience behavior:
# subplot(111); subplot(111, projection='polar')
# will replace the first with the second.
# Without this, add_subplot would be simpler and
# more similar to add_axes.
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self._axstack.add(key, a)
self.sca(a)
return a
def clf(self, keep_observers=False):
"""
Clear the figure.
Set *keep_observers* to True if, for example,
a gui widget is tracking the axes in the figure.
"""
self.suppressComposite = None
self.callbacks = cbook.CallbackRegistry()
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self._axstack
toolbar = getattr(self.canvas, 'toolbar', None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self.artists = []
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
if not keep_observers:
self._axobservers = []
def clear(self):
"""
Clear the figure -- synonym for fig.clf
"""
self.clf()
@allow_rasterization
def draw(self, renderer):
"""
Render the figure using :class:`matplotlib.backend_bases.RendererBase` instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
if not self.get_visible(): return
renderer.open_group('figure')
if self.frameon: self.patch.draw(renderer)
# a list of (zorder, func_to_call, list_of_args)
dsu = []
for a in self.patches:
dsu.append((a.get_zorder(), a.draw, [renderer]))
for a in self.lines:
dsu.append((a.get_zorder(), a.draw, [renderer]))
for a in self.artists:
dsu.append((a.get_zorder(), a.draw, [renderer]))
# override the renderer default if self.suppressComposite
# is not None
not_composite = renderer.option_image_nocomposite()
if self.suppressComposite is not None:
not_composite = self.suppressComposite
if len(self.images)<=1 or not_composite or \
not allequal([im.origin for im in self.images]):
for a in self.images:
dsu.append((a.get_zorder(), a.draw, [renderer]))
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height * mag,
self.bbox.width * mag, ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
def draw_composite():
gc = renderer.new_gc()
gc.set_clip_rectangle(self.bbox)
gc.set_clip_path(self.get_clip_path())
renderer.draw_image(gc, l, b, im)
gc.restore()
dsu.append((self.images[0].get_zorder(), draw_composite, []))
# render the axes
for a in self.axes:
dsu.append((a.get_zorder(), a.draw, [renderer]))
# render the figure text
for a in self.texts:
dsu.append((a.get_zorder(), a.draw, [renderer]))
for a in self.legends:
dsu.append((a.get_zorder(), a.draw, [renderer]))
dsu.sort(key=itemgetter(0))
for zorder, func, args in dsu:
func(*args)
renderer.close_group('figure')
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
"""
draw :class:`matplotlib.artist.Artist` instance *a* only --
this is available only after the figure is drawn
"""
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of
:class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances, and loc can be a
string or an integer specifying the legend location
USAGE::
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The *loc* location codes are::
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
Keyword arguments:
*prop*: [ None | FontProperties | dict ]
A :class:`matplotlib.font_manager.FontProperties`
instance. If *prop* is a dictionary, a new instance will be
created with *prop*. If *None*, use rc settings.
*numpoints*: integer
The number of points in the legend line, default is 4
*scatterpoints*: integer
The number of points in the legend line, default is 4
*scatteroffsets*: list of floats
a list of yoffsets for scatter symbols in legend
*markerscale*: [ None | scalar ]
The relative size of legend markers vs. original. If *None*, use rc
settings.
*fancybox*: [ None | False | True ]
if True, draw a frame with a round fancybox. If None, use rc
*shadow*: [ None | False | True ]
If *True*, draw a shadow behind legend. If *None*, use rc settings.
*ncol* : integer
number of columns. default is 1
*mode* : [ "expand" | None ]
if mode is "expand", the legend will be horizontally expanded
to fill the axes area (or *bbox_to_anchor*)
*title* : string
the legend title
Padding and spacing between various elements use following keywords
parameters. The dimensions of these values are given as a fraction
of the fontsize. Values from rcParams will be used if None.
================ ==================================================================
Keyword Description
================ ==================================================================
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
================ ==================================================================
.. Note:: Not all kinds of artist are supported by the legend.
See LINK (FIXME) for details.
**Example:**
.. plot:: mpl_examples/pylab_examples/figlegend_demo.py
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
@docstring.dedent_interpd
def text(self, x, y, s, *args, **kwargs):
"""
Call signature::
figtext(x, y, s, fontdict=None, **kwargs)
Add text to figure at location *x*, *y* (relative 0-1
coords). See :func:`~matplotlib.pyplot.text` for the meaning
of the other arguments.
kwargs control the :class:`~matplotlib.text.Text` properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x,
y=y,
text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
def _set_artist_props(self, a):
if a != self:
a.set_figure(self)
a.set_transform(self.transFigure)
@docstring.dedent_interpd
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None:
ispolar = kwargs.get('polar', False)
projection = kwargs.get('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
if isinstance(ax, projection_class):
return ax
return self.add_subplot(111, **kwargs)
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers:
func(self)
return a
def _gci(self):
"""
helper for :func:`~matplotlib.pyplot.gci`;
do not use elsewhere.
"""
for ax in reversed(self.axes):
im = ax._gci()
if im is not None:
return im
return None
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
call signature::
savefig(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None,
transparent=False, bbox_inches=None, pad_inches=0.1):
Save the current figure.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object,
or possibly some backend-dependent object such as
:class:`~matplotlib.backends.backend_pdf.PdfPages`.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename. If
the filename has no extension, the value of the rc parameter
``savefig.extension`` is used. If that value is 'auto',
the backend determines the extension.
If *fname* is not a string, remember to specify *format* to
ensure that the correct backend is used.
Keyword arguments:
*dpi*: [ None | scalar > 0 ]
The resolution in dots per inch. If *None* it will default to
the value ``savefig.dpi`` in the matplotlibrc file.
*facecolor*, *edgecolor*:
the colors of the figure rectangle
*orientation*: [ 'landscape' | 'portrait' ]
not supported on all backends; currently only on postscript output
*papertype*:
One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
'a10', 'b0' through 'b10'. Only supported for postscript
output.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*transparent*:
If *True*, the axes patches will all be transparent; the
figure patch will also be transparent unless facecolor
and/or edgecolor are specified via kwargs.
This is useful, for example, for displaying
a plot on top of a colored background on a web page. The
transparency of these patches will be restored to their
original values upon exit of this function.
*bbox_inches*:
Bbox in inches. Only the given portion of the figure is
saved. If 'tight', try to figure out the tight bbox of
the figure.
*pad_inches*:
Amount of padding around the figure when bbox_inches is
'tight'.
*bbox_extra_artists*:
A list of extra artists that will be considered when the
tight bbox is calculated.
"""
kwargs.setdefault('dpi', rcParams['savefig.dpi'])
extension = rcParams['savefig.extension']
if args and is_string_like(args[0]) and '.' not in os.path.splitext(
args[0])[-1] and extension != 'auto':
fname = args[0] + '.' + extension
args = (fname, ) + args[1:]
transparent = kwargs.pop('transparent', False)
if transparent:
kwargs.setdefault('facecolor', 'none')
kwargs.setdefault('edgecolor', 'none')
original_axes_colors = []
for ax in self.axes:
patch = ax.patch
original_axes_colors.append(
(patch.get_facecolor(), patch.get_edgecolor()))
patch.set_facecolor('none')
patch.set_edgecolor('none')
else:
kwargs.setdefault('facecolor', rcParams['savefig.facecolor'])
kwargs.setdefault('edgecolor', rcParams['savefig.edgecolor'])
self.canvas.print_figure(*args, **kwargs)
if transparent:
for ax, cc in zip(self.axes, original_axes_colors):
ax.patch.set_facecolor(cc[0])
ax.patch.set_edgecolor(cc[1])
@docstring.dedent_interpd
def colorbar(self, mappable, cax=None, ax=None, **kw):
"""
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper:
%(colorbar_doc)s
"""
if ax is None:
ax = self.gca()
use_gridspec = kw.pop("use_gridspec", False)
if cax is None:
if use_gridspec and isinstance(ax, SubplotBase):
cax, kw = cbar.make_axes_gridspec(ax, **kw)
else:
cax, kw = cbar.make_axes(ax, **kw)
cax.hold(True)
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
#print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_normal(m)
self.cbid = mappable.callbacksSM.connect('changed', on_changed)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
def subplots_adjust(self, *args, **kwargs):
"""
fig.subplots_adjust(left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
Update the :class:`SubplotParams` with *kwargs* (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(
ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(
ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
def ginput(self,
n=1,
timeout=30,
show_clicks=True,
mouse_add=1,
mouse_pop=3,
mouse_stop=2):
"""
call signature::
ginput(self, n=1, timeout=30, show_clicks=True,
mouse_add=1, mouse_pop=3, mouse_stop=2)
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is zero or negative, does not timeout.
If *n* is zero or negative, accumulate clicks until a middle click
(or potentially both mouse buttons at once) terminates the input.
Right clicking cancels last input.
The buttons used for the various actions (adding points, removing
points, terminating the inputs) can be overriden via the
arguments *mouse_add*, *mouse_pop* and *mouse_stop*, that give
the associated mouse button: 1 for left, 2 for middle, 3 for
right.
The keyboard can also be used to select points in case your mouse
does not have one or more of the buttons. The delete and backspace
keys act like right clicking (i.e., remove last point), the enter key
terminates input and any other key (not already used by the window
manager) selects a point.
"""
blocking_mouse_input = BlockingMouseInput(self,
mouse_add=mouse_add,
mouse_pop=mouse_pop,
mouse_stop=mouse_stop)
return blocking_mouse_input(n=n,
timeout=timeout,
show_clicks=show_clicks)
def waitforbuttonpress(self, timeout=-1):
"""
call signature::
waitforbuttonpress(self, timeout=-1)
Blocking call to interact with the figure.
This will return True is a key was pressed, False if a mouse
button was pressed and None if *timeout* was reached without
either being pressed.
If *timeout* is negative, does not timeout.
"""
blocking_input = BlockingKeyMouseInput(self)
return blocking_input(timeout=timeout)
def get_tightbbox(self, renderer):
"""
Return a (tight) bounding box of the figure in inches.
It only accounts axes title, axis labels, and axis
ticklabels. Needs improvement.
"""
bb = []
for ax in self.axes:
if ax.get_visible():
bb.append(ax.get_tightbbox(renderer))
_bbox = Bbox.union([b for b in bb if b.width != 0 or b.height != 0])
bbox_inches = TransformedBbox(_bbox, Affine2D().scale(1. / self.dpi))
return bbox_inches
def tight_layout(self, renderer=None, pad=1.2, h_pad=None, w_pad=None):
"""Adjust subplot parameters to give specified padding.
Parameters
----------
pad : float
padding between the figure edge and the edges of subplots, as a fraction of the font-size.
h_pad, w_pad : float
padding (height/width) between edges of adjacent subplots.
Defaults to `pad_inches`.
"""
from tight_layout import auto_adjust_subplotpars, get_renderer
if renderer is None:
renderer = get_renderer(self)
subplotspec_list = []
subplot_list = []
nrows_list = []
ncols_list = []
ax_bbox_list = []
subplot_dict = {} # for axes_grid1, multiple axes can share
# same subplot_interface. Thus we need to
# join them together.
for ax in self.axes:
locator = ax.get_axes_locator()
if hasattr(locator, "get_subplotspec"):
subplotspec = locator.get_subplotspec(
).get_topmost_subplotspec()
elif hasattr(ax, "get_subplotspec"):
subplotspec = ax.get_subplotspec().get_topmost_subplotspec()
else:
continue
if (subplotspec is None) or \
subplotspec.get_gridspec().locally_modified_subplot_params():
continue
subplots = subplot_dict.setdefault(subplotspec, [])
if not subplots:
myrows, mycols, _, _ = subplotspec.get_geometry()
nrows_list.append(myrows)
ncols_list.append(mycols)
subplotspec_list.append(subplotspec)
subplot_list.append(subplots)
ax_bbox_list.append(subplotspec.get_position(self))
subplots.append(ax)
max_nrows = max(nrows_list)
max_ncols = max(ncols_list)
num1num2_list = []
for subplotspec in subplotspec_list:
rows, cols, num1, num2 = subplotspec.get_geometry()
div_row, mod_row = divmod(max_nrows, rows)
div_col, mod_col = divmod(max_ncols, cols)
if (mod_row != 0) or (mod_col != 0):
raise RuntimeError("")
rowNum1, colNum1 = divmod(num1, cols)
if num2 is None:
rowNum2, colNum2 = rowNum1, colNum1
else:
rowNum2, colNum2 = divmod(num2, cols)
num1num2_list.append(
(rowNum1 * div_row * max_ncols + colNum1 * div_col,
((rowNum2 + 1) * div_row - 1) * max_ncols +
(colNum2 + 1) * div_col - 1))
kwargs = auto_adjust_subplotpars(self,
renderer,
nrows_ncols=(max_nrows, max_ncols),
num1num2_list=num1num2_list,
subplot_list=subplot_list,
ax_bbox_list=ax_bbox_list,
pad=pad,
h_pad=h_pad,
w_pad=w_pad)
self.subplots_adjust(**kwargs)
class Figure(Artist):
"""
The Figure instance supports callbacks through a *callbacks*
attribute which is a :class:`matplotlib.cbook.CallbackRegistry`
instance. The events you can connect to are 'dpi_changed', and
the callback will be called with ``func(fig)`` where fig is the
:class:`Figure` instance.
The figure patch is drawn by a the attribute
*patch*
a :class:`matplotlib.patches.Rectangle` instance
*suppressComposite*
for multiple figure images, the figure will make composite
images depending on the renderer option_image_nocomposite
function. If suppressComposite is True|False, this will
override the renderer
"""
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(self,
figsize = None, # defaults to rc figure.figsize
dpi = None, # defaults to rc figure.dpi
facecolor = None, # defaults to rc figure.facecolor
edgecolor = None, # defaults to rc figure.edgecolor
linewidth = 1.0, # the default linewidth of the frame
frameon = True, # whether or not to draw the figure frame
subplotpars = None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if False, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
if figsize is None : figsize = rcParams['figure.figsize']
if dpi is None : dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0,0), width=1, height=1,
facecolor=facecolor, edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.patch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = AxesStack() # track all figure axes and current axes
self.clf()
self._cachedRenderer = None
def _get_axes(self):
return self._axstack.as_list()
axes = property(fget=_get_axes, doc="Read-only: list of axes in Figure")
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self.dpi_scale_trans.clear().scale(dpi, dpi)
self.callbacks.process('dpi_changed', self)
dpi = property(_get_dpi, _set_dpi)
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
*bottom*
the bottom of the subplots for :meth:`subplots_adjust`
*rotation*
the rotation of the xtick labels
*ha*
the horizontal alignment of the xticklabels
"""
allsubplots = np.alltrue([hasattr(ax, 'is_last_row') for ax in self.axes])
if len(self.axes)==1:
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel('')
if allsubplots:
self.subplots_adjust(bottom=bottom)
def get_children(self):
'get a list of artists contained in the figure'
children = [self.patch]
children.extend(self.artists)
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""
Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains): return self._contains(self,mouseevent)
#inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x,mouseevent.y)
return inside,{}
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space; kwargs are void'
return self.bbox
def suptitle(self, t, **kwargs):
"""
Add a centered title to the figure.
kwargs are :class:`matplotlib.text.Text` properties. Using figure
coordinates, the defaults are:
- *x* = 0.5
the x location of text in figure coords
- *y* = 0.98
the y location of the text in figure coords
- *horizontalalignment* = 'center'
the horizontal alignment of the text
- *verticalalignment* = 'top'
the vertical alignment of the text
A :class:`matplotlib.text.Text` instance is returned.
Example::
fig.suptitle('this is the figure title', fontsize=12)
"""
x = kwargs.pop('x', 0.5)
y = kwargs.pop('y', 0.98)
if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs):
kwargs['horizontalalignment'] = 'center'
if ('verticalalignment' not in kwargs) and ('va' not in kwargs):
kwargs['verticalalignment'] = 'top'
t = self.text(x, y, t, **kwargs)
return t
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None: self._hold = not self._hold
else: self._hold = b
def figimage(self, X,
xo=0,
yo=0,
alpha=None,
norm=None,
cmap=None,
vmin=None,
vmax=None,
origin=None,
**kwargs):
"""
call signatures::
figimage(X, **kwargs)
adds a non-resampled array *X* to the figure.
::
figimage(X, xo, yo)
with pixel offsets *xo*, *yo*,
*X* must be a float array:
* If *X* is MxN, assume luminance (grayscale)
* If *X* is MxNx3, assume RGB
* If *X* is MxNx4, assume RGBA
Optional keyword arguments:
========= ==========================================================
Keyword Description
========= ==========================================================
xo or yo An integer, the *x* and *y* image offset in pixels
cmap a :class:`matplotlib.cm.ColorMap` instance, eg cm.jet.
If None, default to the rc ``image.cmap`` value
norm a :class:`matplotlib.colors.Normalize` instance. The
default is normalization(). This scales luminance -> 0-1
vmin|vmax are used to scale a luminance image to 0-1. If either is
None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for
*vmin* and *vmax* will be ignored.
alpha the alpha blending value, default is None
origin [ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
========= ==========================================================
figimage complements the axes image
(:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled
to fit the current axes. If you want a resampled image to
fill the entire figure, you can define an
:class:`~matplotlib.axes.Axes` with size [0,1,0,1].
An :class:`matplotlib.image.FigureImage` instance is returned.
.. plot:: mpl_examples/pylab_examples/figimage_demo.py
Additional kwargs are Artist kwargs passed on to
:class:`~matplotlib.image.FigureImage`
"""
if not self._hold: self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin, **kwargs)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage::
fig.set_size_inches(w,h) # OR
fig.set_size_inches((w,h) )
optional kwarg *forward=True* will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get('forward', False)
if len(args)==1:
w,h = args[0]
else:
w,h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w*dpival
canvash = h*dpival
manager = getattr(self.canvas, 'manager', None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
'Get the edge color of the Figure rectangle'
return self.patch.get_edgecolor()
def get_facecolor(self):
'Get the face color of the Figure rectangle'
return self.patch.get_facecolor()
def get_figwidth(self):
'Return the figwidth as a float'
return self.bbox_inches.width
def get_figheight(self):
'Return the figheight as a float'
return self.bbox_inches.height
def get_dpi(self):
'Return the dpi as a float'
return self.dpi
def get_frameon(self):
'get the boolean indicating frameon'
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
'remove a from the figure and update the current axes'
self._axstack.remove(a)
for func in self._axobservers: func(self)
def _make_key(self, *args, **kwargs):
'make a hashable key out of args and kwargs'
def fixitems(items):
#items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k,v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a): a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.iteritems())
return key
@docstring.dedent_interpd
def add_axes(self, *args, **kwargs):
"""
Add an a axes with axes rect [*left*, *bottom*, *width*,
*height*] where all quantities are in fractions of figure
width and height. kwargs are legal
:class:`~matplotlib.axes.Axes` kwargs plus *projection* which
sets the projection type of the axes. (For backward
compatibility, ``polar=True`` may also be provided, which is
equivalent to ``projection='polar'``). Valid values for
*projection* are: %(projection_names)s. Some of these projections support
additional kwargs, which may be provided to :meth:`add_axes`::
rect = l,b,w,h
fig.add_axes(rect)
fig.add_axes(rect, frameon=False, axisbg='g')
fig.add_axes(rect, polar=True)
fig.add_axes(rect, projection='polar')
fig.add_axes(ax) # add an Axes instance
If the figure already has an axes with the same parameters,
then it will simply make that axes current and return it. If
you do not want this behavior, eg. you want to force the
creation of a new axes, you must use a unique set of args and
kwargs. The axes :attr:`~matplotlib.axes.Axes.label`
attribute has been exposed for this purpose. Eg., if you want
two axes that are otherwise identical to be added to the
figure, make sure you give them unique labels::
fig.add_axes(rect, label='axes1')
fig.add_axes(rect, label='axes2')
The :class:`~matplotlib.axes.Axes` instance will be returned.
The following kwargs are supported:
%(Axes)s
"""
if not len(args): return
key = self._make_key(*args, **kwargs)
ax = self._axstack.get(key)
if ax is not None:
self.sca(ax)
return ax
if isinstance(args[0], Axes):
a = args[0]
assert(a.get_figure() is self)
else:
rect = args[0]
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
a = projection_factory(projection, self, rect, **kwargs)
self._axstack.add(key, a)
self.sca(a)
return a
@docstring.dedent_interpd
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples:
fig.add_subplot(111)
fig.add_subplot(1,1,1) # equivalent but more general
fig.add_subplot(212, axisbg='r') # add subplot with red background
fig.add_subplot(111, polar=True) # add a polar subplot
fig.add_subplot(sub) # add Subplot instance sub
*kwargs* are legal :class:`!matplotlib.axes.Axes` kwargs plus
*projection*, which chooses a projection type for the axes.
(For backward compatibility, *polar=True* may also be
provided, which is equivalent to *projection='polar'*). Valid
values for *projection* are: %(projection_names)s. Some of these projections
support additional *kwargs*, which may be provided to
:meth:`add_axes`.
The :class:`~matplotlib.axes.Axes` instance will be returned.
If the figure already has a subplot with key (*args*,
*kwargs*) then it will simply make that subplot current and
return it.
The following kwargs are supported:
%(Axes)s
"""
if not len(args): return
if len(args) == 1 and isinstance(args[0], int):
args = tuple([int(c) for c in str(args[0])])
if isinstance(args[0], SubplotBase):
a = args[0]
assert(a.get_figure() is self)
key = self._make_key(*args, **kwargs)
else:
kwargs = kwargs.copy()
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
# Remake the key without projection kwargs:
key = self._make_key(*args, **kwargs)
ax = self._axstack.get(key)
if ax is not None:
if isinstance(ax, projection_class):
self.sca(ax)
return ax
else:
self._axstack.remove(ax)
# Undocumented convenience behavior:
# subplot(111); subplot(111, projection='polar')
# will replace the first with the second.
# Without this, add_subplot would be simpler and
# more similar to add_axes.
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self._axstack.add(key, a)
self.sca(a)
return a
def clf(self, keep_observers=False):
"""
Clear the figure.
Set *keep_observers* to True if, for example,
a gui widget is tracking the axes in the figure.
"""
self.suppressComposite = None
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self._axstack
toolbar = getattr(self.canvas, 'toolbar', None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self.artists = []
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
if not keep_observers:
self._axobservers = []
def clear(self):
"""
Clear the figure -- synonym for fig.clf
"""
self.clf()
@allow_rasterization
def draw(self, renderer):
"""
Render the figure using :class:`matplotlib.backend_bases.RendererBase` instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
if not self.get_visible(): return
renderer.open_group('figure')
if self.frameon: self.patch.draw(renderer)
# a list of (zorder, func_to_call, list_of_args)
dsu = []
for a in self.patches:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
for a in self.lines:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
for a in self.artists:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
# override the renderer default if self.suppressComposite
# is not None
not_composite = renderer.option_image_nocomposite()
if self.suppressComposite is not None:
not_composite = self.suppressComposite
if len(self.images)<=1 or not_composite or \
not allequal([im.origin for im in self.images]):
for a in self.images:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox, im.oy)
for im in self.images]
im = _image.from_images(self.bbox.height * mag,
self.bbox.width * mag,
ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
def draw_composite():
gc = renderer.new_gc()
gc.set_clip_rectangle(self.bbox)
gc.set_clip_path(self.get_clip_path())
renderer.draw_image(gc, l, b, im)
gc.restore()
dsu.append((self.images[0].get_zorder(), draw_composite, []))
# render the axes
for a in self.axes:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
# render the figure text
for a in self.texts:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
for a in self.legends:
dsu.append( (a.get_zorder(), a.draw, [renderer]))
dsu.sort(key=itemgetter(0))
for zorder, func, args in dsu:
func(*args)
renderer.close_group('figure')
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
"""
draw :class:`matplotlib.artist.Artist` instance *a* only --
this is available only after the figure is drawn
"""
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of
:class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances, and loc can be a
string or an integer specifying the legend location
USAGE::
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The *loc* location codes are::
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
Keyword arguments:
*prop*: [ None | FontProperties | dict ]
A :class:`matplotlib.font_manager.FontProperties`
instance. If *prop* is a dictionary, a new instance will be
created with *prop*. If *None*, use rc settings.
*numpoints*: integer
The number of points in the legend line, default is 4
*scatterpoints*: integer
The number of points in the legend line, default is 4
*scatteroffsets*: list of floats
a list of yoffsets for scatter symbols in legend
*markerscale*: [ None | scalar ]
The relative size of legend markers vs. original. If *None*, use rc
settings.
*fancybox*: [ None | False | True ]
if True, draw a frame with a round fancybox. If None, use rc
*shadow*: [ None | False | True ]
If *True*, draw a shadow behind legend. If *None*, use rc settings.
*ncol* : integer
number of columns. default is 1
*mode* : [ "expand" | None ]
if mode is "expand", the legend will be horizontally expanded
to fill the axes area (or *bbox_to_anchor*)
*title* : string
the legend title
Padding and spacing between various elements use following keywords
parameters. The dimensions of these values are given as a fraction
of the fontsize. Values from rcParams will be used if None.
================ ==================================================================
Keyword Description
================ ==================================================================
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
================ ==================================================================
**Example:**
.. plot:: mpl_examples/pylab_examples/figlegend_demo.py
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
@docstring.dedent_interpd
def text(self, x, y, s, *args, **kwargs):
"""
Call signature::
figtext(x, y, s, fontdict=None, **kwargs)
Add text to figure at location *x*, *y* (relative 0-1
coords). See :func:`~matplotlib.pyplot.text` for the meaning
of the other arguments.
kwargs control the :class:`~matplotlib.text.Text` properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x, y=y, text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
def _set_artist_props(self, a):
if a!= self:
a.set_figure(self)
a.set_transform(self.transFigure)
@docstring.dedent_interpd
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None:
ispolar = kwargs.get('polar', False)
projection = kwargs.get('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
if isinstance(ax, projection_class):
return ax
return self.add_subplot(111, **kwargs)
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers: func(self)
return a
def _gci(self):
"""
helper for :func:`~matplotlib.pyplot.gci`;
do not use elsewhere.
"""
for ax in reversed(self.axes):
im = ax._gci()
if im is not None:
return im
return None
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
call signature::
savefig(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None,
transparent=False, bbox_inches=None, pad_inches=0.1):
Save the current figure.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object,
or possibly some backend-dependent object such as
:class:`~matplotlib.backends.backend_pdf.PdfPages`.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename. If
the filename has no extension, the value of the rc parameter
``savefig.extension`` is used. If that value is 'auto',
the backend determines the extension.
If *fname* is not a string, remember to specify *format* to
ensure that the correct backend is used.
Keyword arguments:
*dpi*: [ None | scalar > 0 ]
The resolution in dots per inch. If *None* it will default to
the value ``savefig.dpi`` in the matplotlibrc file.
*facecolor*, *edgecolor*:
the colors of the figure rectangle
*orientation*: [ 'landscape' | 'portrait' ]
not supported on all backends; currently only on postscript output
*papertype*:
One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
'a10', 'b0' through 'b10'. Only supported for postscript
output.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*transparent*:
If *True*, the axes patches will all be transparent; the
figure patch will also be transparent unless facecolor
and/or edgecolor are specified via kwargs.
This is useful, for example, for displaying
a plot on top of a colored background on a web page. The
transparency of these patches will be restored to their
original values upon exit of this function.
*bbox_inches*:
Bbox in inches. Only the given portion of the figure is
saved. If 'tight', try to figure out the tight bbox of
the figure.
*pad_inches*:
Amount of padding around the figure when bbox_inches is
'tight'.
*bbox_extra_artists*:
A list of extra artists that will be considered when the
tight bbox is calculated.
"""
kwargs.setdefault('dpi', rcParams['savefig.dpi'])
extension = rcParams['savefig.extension']
if args and is_string_like(args[0]) and '.' not in args[0] and extension != 'auto':
fname = args[0] + '.' + extension
args = (fname,) + args[1:]
transparent = kwargs.pop('transparent', False)
if transparent:
kwargs.setdefault('facecolor', 'none')
kwargs.setdefault('edgecolor', 'none')
original_axes_colors = []
for ax in self.axes:
patch = ax.patch
original_axes_colors.append((patch.get_facecolor(),
patch.get_edgecolor()))
patch.set_facecolor('none')
patch.set_edgecolor('none')
else:
kwargs.setdefault('facecolor', rcParams['savefig.facecolor'])
kwargs.setdefault('edgecolor', rcParams['savefig.edgecolor'])
self.canvas.print_figure(*args, **kwargs)
if transparent:
for ax, cc in zip(self.axes, original_axes_colors):
ax.patch.set_facecolor(cc[0])
ax.patch.set_edgecolor(cc[1])
@docstring.dedent_interpd
def colorbar(self, mappable, cax=None, ax=None, **kw):
"""
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper:
%(colorbar_doc)s
"""
if ax is None:
ax = self.gca()
if cax is None:
cax, kw = cbar.make_axes(ax, **kw)
cax.hold(True)
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
#print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_normal(m)
self.cbid = mappable.callbacksSM.connect('changed', on_changed)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
def subplots_adjust(self, *args, **kwargs):
"""
fig.subplots_adjust(left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
Update the :class:`SubplotParams` with *kwargs* (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
def ginput(self, n=1, timeout=30, show_clicks=True, mouse_add=1, mouse_pop=3, mouse_stop=2):
"""
call signature::
ginput(self, n=1, timeout=30, show_clicks=True,
mouse_add=1, mouse_pop=3, mouse_stop=2)
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is zero or negative, does not timeout.
If *n* is zero or negative, accumulate clicks until a middle click
(or potentially both mouse buttons at once) terminates the input.
Right clicking cancels last input.
The buttons used for the various actions (adding points, removing
points, terminating the inputs) can be overriden via the
arguments *mouse_add*, *mouse_pop* and *mouse_stop*, that give
the associated mouse button: 1 for left, 2 for middle, 3 for
right.
The keyboard can also be used to select points in case your mouse
does not have one or more of the buttons. The delete and backspace
keys act like right clicking (i.e., remove last point), the enter key
terminates input and any other key (not already used by the window
manager) selects a point.
"""
blocking_mouse_input = BlockingMouseInput(self, mouse_add =mouse_add,
mouse_pop =mouse_pop,
mouse_stop=mouse_stop)
return blocking_mouse_input(n=n, timeout=timeout,
show_clicks=show_clicks)
def waitforbuttonpress(self, timeout=-1):
"""
call signature::
waitforbuttonpress(self, timeout=-1)
Blocking call to interact with the figure.
This will return True is a key was pressed, False if a mouse
button was pressed and None if *timeout* was reached without
either being pressed.
If *timeout* is negative, does not timeout.
"""
blocking_input = BlockingKeyMouseInput(self)
return blocking_input(timeout=timeout)
def get_tightbbox(self, renderer):
"""
Return a (tight) bounding box of the figure in inches.
It only accounts axes title, axis labels, and axis
ticklabels. Needs improvement.
"""
bb = []
for ax in self.axes:
if ax.get_visible():
bb.append(ax.get_tightbbox(renderer))
_bbox = Bbox.union([b for b in bb if b.width!=0 or b.height!=0])
bbox_inches = TransformedBbox(_bbox,
Affine2D().scale(1./self.dpi))
return bbox_inches
class Figure(Artist):
"""
The Figure instance supports callbacks through a *callbacks*
attribute which is a :class:`matplotlib.cbook.CallbackRegistry`
instance. The events you can connect to are 'dpi_changed', and
the callback will be called with ``func(fig)`` where fig is the
:class:`Figure` instance.
The figure patch is drawn by a the attribute
*patch*
a :class:`matplotlib.patches.Rectangle` instance
*suppressComposite*
for multiple figure images, the figure will make composite
images depending on the renderer option_image_nocomposite
function. If suppressComposite is True|False, this will
override the renderer
"""
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=1.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if False, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.patch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self.dpi_scale_trans.clear().scale(dpi, dpi)
self.callbacks.process('dpi_changed', self)
dpi = property(_get_dpi, _set_dpi)
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
*bottom*
the bottom of the subplots for :meth:`subplots_adjust`
*rotation*
the rotation of the xtick labels
*ha*
the horizontal alignment of the xticklabels
"""
allsubplots = np.alltrue(
[hasattr(ax, 'is_last_row') for ax in self.axes])
if len(self.axes) == 1:
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel('')
if allsubplots:
self.subplots_adjust(bottom=bottom)
def get_children(self):
'get a list of artists contained in the figure'
children = [self.patch]
children.extend(self.artists)
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""
Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains): return self._contains(self, mouseevent)
#inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x, mouseevent.y)
return inside, {}
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space; kwargs are void'
return self.bbox
def suptitle(self, t, **kwargs):
"""
Add a centered title to the figure.
kwargs are :class:`matplotlib.text.Text` properties. Using figure
coordinates, the defaults are:
- *x* = 0.5
the x location of text in figure coords
- *y* = 0.98
the y location of the text in figure coords
- *horizontalalignment* = 'center'
the horizontal alignment of the text
- *verticalalignment* = 'top'
the vertical alignment of the text
A :class:`matplotlib.text.Text` instance is returned.
Example::
fig.subtitle('this is the figure title', fontsize=12)
"""
x = kwargs.pop('x', 0.5)
y = kwargs.pop('y', 0.98)
if ('horizontalalignment' not in kwargs) and ('ha' not in kwargs):
kwargs['horizontalalignment'] = 'center'
if ('verticalalignment' not in kwargs) and ('va' not in kwargs):
kwargs['verticalalignment'] = 'top'
t = self.text(x, y, t, **kwargs)
return t
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None: self._hold = not self._hold
else: self._hold = b
def figimage(self,
X,
xo=0,
yo=0,
alpha=1.0,
norm=None,
cmap=None,
vmin=None,
vmax=None,
origin=None):
"""
call signatures::
figimage(X, **kwargs)
adds a non-resampled array *X* to the figure.
::
figimage(X, xo, yo)
with pixel offsets *xo*, *yo*,
*X* must be a float array:
* If *X* is MxN, assume luminance (grayscale)
* If *X* is MxNx3, assume RGB
* If *X* is MxNx4, assume RGBA
Optional keyword arguments:
========= ==========================================================
Keyword Description
========= ==========================================================
xo or yo An integer, the *x* and *y* image offset in pixels
cmap a :class:`matplotlib.cm.ColorMap` instance, eg cm.jet.
If None, default to the rc ``image.cmap`` value
norm a :class:`matplotlib.colors.Normalize` instance. The
default is normalization(). This scales luminance -> 0-1
vmin|vmax are used to scale a luminance image to 0-1. If either is
None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for
*vmin* and *vmax* will be ignored.
alpha the alpha blending value, default is 1.0
origin [ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
========= ==========================================================
figimage complements the axes image
(:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled
to fit the current axes. If you want a resampled image to
fill the entire figure, you can define an
:class:`~matplotlib.axes.Axes` with size [0,1,0,1].
An :class:`matplotlib.image.FigureImage` instance is returned.
.. plot:: mpl_examples/pylab_examples/figimage_demo.py
"""
if not self._hold: self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_figsize_inches(self, *args, **kwargs):
import warnings
warnings.warn('Use set_size_inches instead!', DeprecationWarning)
self.set_size_inches(*args, **kwargs)
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage::
fig.set_size_inches(w,h) # OR
fig.set_size_inches((w,h) )
optional kwarg *forward=True* will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
WARNING: forward=True is broken on all backends except GTK*
and WX*
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get('forward', False)
if len(args) == 1:
w, h = args[0]
else:
w, h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w * dpival
canvash = h * dpival
manager = getattr(self.canvas, 'manager', None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
'Get the edge color of the Figure rectangle'
return self.patch.get_edgecolor()
def get_facecolor(self):
'Get the face color of the Figure rectangle'
return self.patch.get_facecolor()
def get_figwidth(self):
'Return the figwidth as a float'
return self.bbox_inches.width
def get_figheight(self):
'Return the figheight as a float'
return self.bbox_inches.height
def get_dpi(self):
'Return the dpi as a float'
return self.dpi
def get_frameon(self):
'get the boolean indicating frameon'
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
'remove a from the figure and update the current axes'
self.axes.remove(a)
self._axstack.remove(a)
keys = []
for key, thisax in self._seen.items():
if a == thisax: del self._seen[key]
for func in self._axobservers:
func(self)
def _make_key(self, *args, **kwargs):
'make a hashable key out of args and kwargs'
def fixitems(items):
#items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k, v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a): a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.items())
return key
def add_axes(self, *args, **kwargs):
"""
Add an a axes with axes rect [*left*, *bottom*, *width*,
*height*] where all quantities are in fractions of figure
width and height. kwargs are legal
:class:`~matplotlib.axes.Axes` kwargs plus *projection* which
sets the projection type of the axes. (For backward
compatibility, ``polar=True`` may also be provided, which is
equivalent to ``projection='polar'``). Valid values for
*projection* are: %(list)s. Some of these projections support
additional kwargs, which may be provided to :meth:`add_axes`::
rect = l,b,w,h
fig.add_axes(rect)
fig.add_axes(rect, frameon=False, axisbg='g')
fig.add_axes(rect, polar=True)
fig.add_axes(rect, projection='polar')
fig.add_axes(ax) # add an Axes instance
If the figure already has an axes with the same parameters,
then it will simply make that axes current and return it. If
you do not want this behavior, eg. you want to force the
creation of a new axes, you must use a unique set of args and
kwargs. The axes :attr:`~matplotlib.axes.Axes.label`
attribute has been exposed for this purpose. Eg., if you want
two axes that are otherwise identical to be added to the
figure, make sure you give them unique labels::
fig.add_axes(rect, label='axes1')
fig.add_axes(rect, label='axes2')
The :class:`~matplotlib.axes.Axes` instance will be returned.
The following kwargs are supported:
%(Axes)s
"""
key = self._make_key(*args, **kwargs)
if key in self._seen:
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Axes):
a = args[0]
assert (a.get_figure() is self)
else:
rect = args[0]
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
a = projection_factory(projection, self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_axes.__doc__ = dedent(add_axes.__doc__) % \
{'list': (", ".join(get_projection_names())),
'Axes': artist.kwdocd['Axes']}
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples:
fig.add_subplot(111)
fig.add_subplot(1,1,1) # equivalent but more general
fig.add_subplot(212, axisbg='r') # add subplot with red background
fig.add_subplot(111, polar=True) # add a polar subplot
fig.add_subplot(sub) # add Subplot instance sub
*kwargs* are legal :class:`!matplotlib.axes.Axes` kwargs plus
*projection*, which chooses a projection type for the axes.
(For backward compatibility, *polar=True* may also be
provided, which is equivalent to *projection='polar'*). Valid
values for *projection* are: %(list)s. Some of these projections
support additional *kwargs*, which may be provided to
:meth:`add_axes`.
The :class:`~matplotlib.axes.Axes` instance will be returned.
If the figure already has a subplot with key (*args*,
*kwargs*) then it will simply make that subplot current and
return it.
The following kwargs are supported:
%(Axes)s
"""
kwargs = kwargs.copy()
if not len(args): return
if isinstance(args[0], SubplotBase):
a = args[0]
assert (a.get_figure() is self)
else:
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
key = self._make_key(*args, **kwargs)
if key in self._seen:
ax = self._seen[key]
if isinstance(ax, projection_class):
self.sca(ax)
return ax
else:
self.axes.remove(ax)
self._axstack.remove(ax)
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_subplot.__doc__ = dedent(add_subplot.__doc__) % {
'list': ", ".join(get_projection_names()),
'Axes': artist.kwdocd['Axes']
}
def clf(self):
"""
Clear the figure
"""
self.suppressComposite = None
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self.axes
toolbar = getattr(self.canvas, 'toolbar', None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self._seen = {}
self.artists = []
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
self._axobservers = []
def clear(self):
"""
Clear the figure -- synonym for fig.clf
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using :class:`matplotlib.backend_bases.RendererBase` instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
#print 'figure draw'
if not self.get_visible(): return
renderer.open_group('figure')
if self.frameon: self.patch.draw(renderer)
# todo: respect zorder
for p in self.patches:
p.draw(renderer)
for l in self.lines:
l.draw(renderer)
for a in self.artists:
a.draw(renderer)
# override the renderer default if self.suppressComposite
# is not None
composite = renderer.option_image_nocomposite()
if self.suppressComposite is not None:
composite = self.suppressComposite
if len(self.images) <= 1 or composite or not allequal(
[im.origin for im in self.images]):
for im in self.images:
im.draw(renderer)
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox * mag, im.oy * mag)
for im in self.images]
im = _image.from_images(self.bbox.height * mag,
self.bbox.width * mag, ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
clippath, affine = self.get_transformed_clip_path_and_affine()
renderer.draw_image(l, b, im, self.bbox, clippath, affine)
# render the axes
for a in self.axes:
a.draw(renderer)
# render the figure text
for t in self.texts:
t.draw(renderer)
for legend in self.legends:
legend.draw(renderer)
renderer.close_group('figure')
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
"""
draw :class:`matplotlib.artist.Artist` instance *a* only --
this is available only after the figure is drawn
"""
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of
:class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances, and loc can be a
string or an integer specifying the legend location
USAGE::
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The *loc* location codes are::
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
The legend instance is returned. The following kwargs are supported
*loc*
the location of the legend
*numpoints*
the number of points in the legend line
*prop*
a :class:`matplotlib.font_manager.FontProperties` instance
*pad*
the fractional whitespace inside the legend border
*markerscale*
the relative size of legend markers vs. original
*shadow*
if True, draw a shadow behind legend
*labelsep*
the vertical space between the legend entries
*handlelen*
the length of the legend lines
*handletextsep*
the space between the legend line and legend text
*axespad*
the border between the axes and legend edge
.. plot:: mpl_examples/pylab_examples/figlegend_demo.py
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
def text(self, x, y, s, *args, **kwargs):
"""
Call signature::
figtext(x, y, s, fontdict=None, **kwargs)
Add text to figure at location *x*, *y* (relative 0-1
coords). See :func:`~matplotlib.pyplot.text` for the meaning
of the other arguments.
kwargs control the :class:`~matplotlib.text.Text` properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x,
y=y,
text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
text.__doc__ = dedent(text.__doc__) % artist.kwdocd
def _set_artist_props(self, a):
if a != self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None:
ispolar = kwargs.get('polar', False)
projection = kwargs.get('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
if isinstance(ax, projection_class):
return ax
return self.add_subplot(111, **kwargs)
gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers:
func(self)
return a
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
call signature::
savefig(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None,
transparent=False):
Save the current figure.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename.
Keyword arguments:
*dpi*: [ None | scalar > 0 ]
The resolution in dots per inch. If *None* it will default to
the value ``savefig.dpi`` in the matplotlibrc file.
*facecolor*, *edgecolor*:
the colors of the figure rectangle
*orientation*: [ 'landscape' | 'portrait' ]
not supported on all backends; currently only on postscript output
*papertype*:
One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
'a10', 'b0' through 'b10'. Only supported for postscript
output.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*transparent*:
If *True*, the figure patch and axes patches will all be
transparent. This is useful, for example, for displaying
a plot on top of a colored background on a web page. The
transparency of these patches will be restored to their
original values upon exit of this function.
"""
for key in ('dpi', 'facecolor', 'edgecolor'):
if key not in kwargs:
kwargs[key] = rcParams['savefig.%s' % key]
transparent = kwargs.pop('transparent', False)
if transparent:
original_figure_alpha = self.patch.get_alpha()
self.patch.set_alpha(0.0)
original_axes_alpha = []
for ax in self.axes:
patch = ax.patch
original_axes_alpha.append(patch.get_alpha())
patch.set_alpha(0.0)
self.canvas.print_figure(*args, **kwargs)
if transparent:
self.patch.set_alpha(original_figure_alpha)
for ax, alpha in zip(self.axes, original_axes_alpha):
ax.patch.set_alpha(alpha)
def colorbar(self, mappable, cax=None, ax=None, **kw):
if ax is None:
ax = self.gca()
if cax is None:
cax, kw = cbar.make_axes(ax, **kw)
cax.hold(True)
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
#print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_bruteforce(m)
self.cbid = mappable.callbacksSM.connect('changed', on_changed)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
colorbar.__doc__ = '''
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper:
%s
''' % cbar.colorbar_doc
def subplots_adjust(self, *args, **kwargs):
"""
fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None)
Update the :class:`SubplotParams` with *kwargs* (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(
ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(
ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
def ginput(self, n=1, timeout=30, show_clicks=True):
"""
call signature::
ginput(self, n=1, timeout=30, show_clicks=True)
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is zero or negative, does not timeout.
If *n* is zero or negative, accumulate clicks until a middle click
(or potentially both mouse buttons at once) terminates the input.
Right clicking cancels last input.
The keyboard can also be used to select points in case your mouse
does not have one or more of the buttons. The delete and backspace
keys act like right clicking (i.e., remove last point), the enter key
terminates input and any other key (not already used by the window
manager) selects a point.
"""
blocking_mouse_input = BlockingMouseInput(self)
return blocking_mouse_input(n=n,
timeout=timeout,
show_clicks=show_clicks)
def waitforbuttonpress(self, timeout=-1):
"""
call signature::
waitforbuttonpress(self, timeout=-1)
Blocking call to interact with the figure.
This will return True is a key was pressed, False if a mouse
button was pressed and None if *timeout* was reached without
either being pressed.
If *timeout* is negative, does not timeout.
"""
blocking_input = BlockingKeyMouseInput(self)
return blocking_input(timeout=timeout)
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=0.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
Dots per inch
*facecolor*
The figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
The figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
The figure patch edge linewidth; the default linewidth of the frame
*frameon*
If *False*, suppress drawing the figure frame
*subplotpars*
A :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry()
if figsize is None:
figsize = rcParams["figure.figsize"]
if dpi is None:
dpi = rcParams["figure.dpi"]
if facecolor is None:
facecolor = rcParams["figure.facecolor"]
if edgecolor is None:
edgecolor = rcParams["figure.edgecolor"]
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0, 0), width=1, height=1, facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth
)
self._set_artist_props(self.patch)
self.patch.set_aa(False)
self._hold = rcParams["axes.hold"]
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = AxesStack() # track all figure axes and current axes
self.clf()
self._cachedRenderer = None
class Figure(Artist):
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=1.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
figsize is a w,h tuple in inches
dpi is dots per inch
subplotpars is a SubplotParams instance, defaults to rc
"""
Artist.__init__(self)
if figsize is None: figsize = rcParams['figure.figsize']
if dpi is None: dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self._dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self._dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
self.figurePatch = Rectangle(
xy=(0, 0),
width=1,
height=1,
facecolor=facecolor,
edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.figurePatch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
self._autoLayout = rcParams['figure.autolayout']
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self._dpi_scale_trans.clear().scale(dpi, dpi)
dpi = property(_get_dpi, _set_dpi)
def enable_auto_layout(self, setting=True):
self._autoLayout = setting
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
bottom : the bottom of the subplots for subplots_adjust
rotation: the rotation of the xtick labels
ha : the horizontal alignment of the xticklabels
"""
allsubplots = npy.alltrue(
[hasattr(ax, 'is_last_row') for ax in self.axes])
if len(self.axes) == 1:
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel('')
if allsubplots and not self._autoLayout:
self.subplots_adjust(bottom=bottom)
def get_children(self):
'get a list of artists contained in the figure'
children = [self.figurePatch]
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains): return self._contains(self, mouseevent)
#inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x, mouseevent.y)
return inside, {}
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space; kwargs are void'
return self.bbox
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None: self._hold = not self._hold
else: self._hold = b
def figimage(self,
X,
xo=0,
yo=0,
alpha=1.0,
norm=None,
cmap=None,
vmin=None,
vmax=None,
origin=None):
"""
FIGIMAGE(X) # add non-resampled array to figure
FIGIMAGE(X, xo, yo) # with pixel offsets
FIGIMAGE(X, **kwargs) # control interpolation ,scaling, etc
Add a nonresampled figure to the figure from array X. xo and yo are
offsets in pixels
X must be a float array
If X is MxN, assume luminance (grayscale)
If X is MxNx3, assume RGB
If X is MxNx4, assume RGBA
The following kwargs are allowed:
* cmap is a cm colormap instance, eg cm.jet. If None, default to
the rc image.cmap valuex
* norm is a matplotlib.colors.Normalize instance; default is
normalization(). This scales luminance -> 0-1
* vmin and vmax are used to scale a luminance image to 0-1. If
either is None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for vmin and
vmax will be ignored.
* alpha = 1.0 : the alpha blending value
* origin is either 'upper' or 'lower', which indicates where the [0,0]
index of the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
This complements the axes image (Axes.imshow) which will be resampled
to fit the current axes. If you want a resampled image to fill the
entire figure, you can define an Axes with size [0,1,0,1].
A image.FigureImage instance is returned.
"""
if not self._hold: self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_figsize_inches(self, *args, **kwargs):
import warnings
warnings.warn('Use set_size_inches instead!', DeprecationWarning)
self.set_size_inches(*args, **kwargs)
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage: set_size_inches(self, w,h) OR
set_size_inches(self, (w,h) )
optional kwarg forward=True will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
WARNING: forward=True is broken on all backends except GTK*
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get('forward', False)
if len(args) == 1:
w, h = args[0]
else:
w, h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w * dpival
canvash = h * dpival
manager = getattr(self.canvas, 'manager', None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
'Get the edge color of the Figure rectangle'
return self.figurePatch.get_edgecolor()
def get_facecolor(self):
'Get the face color of the Figure rectangle'
return self.figurePatch.get_facecolor()
def get_figwidth(self):
'Return the figwidth as a float'
return self.bbox_inches.width
def get_figheight(self):
'Return the figheight as a float'
return self.bbox_inches.height
def get_dpi(self):
'Return the dpi as a float'
return self.dpi
def get_frameon(self):
'get the boolean indicating frameon'
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.figurePatch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.figurePatch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
'remove a from the figure and update the current axes'
self.axes.remove(a)
self._axstack.remove(a)
keys = []
for key, thisax in self._seen.items():
if a == thisax: del self._seen[key]
for func in self._axobservers:
func(self)
def _make_key(self, *args, **kwargs):
'make a hashable key out of args and kwargs'
def fixitems(items):
#items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k, v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a): a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.items())
return key
def add_axes(self, *args, **kwargs):
"""
Add an a axes with axes rect [left, bottom, width, height] where all
quantities are in fractions of figure width and height. kwargs are
legal Axes kwargs plus "projection" which sets the projection type
of the axes. (For backward compatibility, polar=True may also be
provided, which is equivalent to projection='polar').
Valid values for "projection" are: %s. Some of these projections
support additional kwargs, which may be provided to add_axes.
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
add_axes(rect, projection='polar')
add_axes(ax) # add an Axes instance
If the figure already has an axes with key *args, *kwargs then it will
simply make that axes current and return it. If you do not want this
behavior, eg you want to force the creation of a new axes, you must
use a unique set of args and kwargs. The artist "label" attribute has
been exposed for this purpose. Eg, if you want two axes that are
otherwise identical to be added to the figure, make sure you give them
unique labels:
add_axes(rect, label='axes1')
add_axes(rect, label='axes2')
The Axes instance will be returned
The following kwargs are supported:
%s
""" % (", ".join(get_projection_names()), '%(Axes)s')
key = self._make_key(*args, **kwargs)
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Axes):
a = args[0]
assert (a.get_figure() is self)
else:
rect = args[0]
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
a = projection_factory(projection, self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_axes.__doc__ = dedent(add_axes.__doc__) % artist.kwdocd
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples
add_subplot(111)
add_subplot(1,1,1) # equivalent but more general
add_subplot(212, axisbg='r') # add subplot with red background
add_subplot(111, polar=True) # add a polar subplot
add_subplot(sub) # add Subplot instance sub
kwargs are legal Axes kwargs plus "projection", which chooses
a projection type for the axes. (For backward compatibility,
polar=True may also be provided, which is equivalent to
projection='polar'). Valid values for "projection" are: %s.
Some of these projections support additional kwargs, which may
be provided to add_axes.
The Axes instance will be returned.
If the figure already has a subplot with key *args, *kwargs then it will
simply make that subplot current and return it
The following kwargs are supported:
%s
""" % (", ".join(get_projection_names()), "%(Axes)s")
key = self._make_key(*args, **kwargs)
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], SubplotBase):
a = args[0]
assert (a.get_figure() is self)
else:
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_subplot.__doc__ = dedent(add_subplot.__doc__) % artist.kwdocd
def clf(self):
"""
Clear the figure
"""
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self.axes
toolbar = getattr(self.canvas, 'toolbar', None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
self._axobservers = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using Renderer instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
#print 'figure draw'
if not self.get_visible(): return
renderer.open_group('figure')
if self.frameon: self.figurePatch.draw(renderer)
for p in self.patches:
p.draw(renderer)
for l in self.lines:
l.draw(renderer)
if len(self.images) <= 1 or renderer.option_image_nocomposite(
) or not allequal([im.origin for im in self.images]):
for im in self.images:
im.draw(renderer)
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox * mag, im.oy * mag)
for im in self.images]
im = _image.from_images(self.bbox.height * mag,
self.bbox.width * mag, ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
renderer.draw_image(l, b, im, self.bbox,
*self.get_transformed_clip_path_and_affine())
# update the positions of the axes
# This gives each of the axes the opportunity to resize itself
# based on the tick and axis labels etc., and then makes sure
# that any axes that began life aligned to another axes remains
# aligned after these adjustments
if self._autoLayout and len(self.axes) > 1:
aligned_positions = [{}, {}, {}, {}]
sizes = [{}, {}]
for a in self.axes:
a.update_layout(renderer)
orig_pos = a.get_position(True)
curr_pos = a.get_position()
for pos, orig, curr in zip(aligned_positions,
orig_pos.get_points().flatten(),
curr_pos.get_points().flatten()):
if orig in pos:
pos[orig][0].append(a)
pos[orig][1].add(curr)
else:
pos[orig] = [[a], set([curr])]
for size, orig, curr in zip(sizes, orig_pos.size,
curr_pos.size):
orig = round(orig * 1000.0) / 1000.0
if orig in size:
size[orig][0].append(a)
size[orig][1].add(curr)
else:
size[orig] = [[a], set([curr])]
for i, pos in enumerate(aligned_positions):
for axes, places in pos.values():
if len(places) > 1:
if i < 2:
curr = max(places)
else:
curr = min(places)
for a in axes:
curr_pos = a.get_position().frozen()
curr_pos.get_points()[i / 2, i % 2] = curr
a.set_position(curr_pos, 'active')
for i, size in enumerate(sizes):
for axes, dims in size.values():
new = min(dims)
for a in axes:
curr_pos = a.get_position().frozen()
curr = curr_pos.size[i]
if curr > new:
extra = (curr - new) * 0.5
curr_pos.get_points()[0, i] += extra
curr_pos.get_points()[1, i] -= extra
a.set_position(curr_pos, 'active')
elif self._autoLayout:
for a in self.axes:
a.update_layout(renderer)
# render the axes
for a in self.axes:
a.draw(renderer)
# render the figure text
for t in self.texts:
t.draw(renderer)
for legend in self.legends:
legend.draw(renderer)
renderer.close_group('figure')
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
'draw artist only -- this is available only after the figure is drawn'
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of line or patch instances, and
loc can be a string or an integer specifying the legend
location
USAGE:
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The LOC location codes are
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
The legend instance is returned. The following kwargs are supported:
loc = "upper right" #
numpoints = 4 # the number of points in the legend line
prop = FontProperties(size='smaller') # the font property
pad = 0.2 # the fractional whitespace inside the legend border
markerscale = 0.6 # the relative size of legend markers vs. original
shadow # if True, draw a shadow behind legend
labelsep = 0.005 # the vertical space between the legend entries
handlelen = 0.05 # the length of the legend lines
handletextsep = 0.02 # the space between the legend line and legend text
axespad = 0.02 # the border between the axes and legend edge
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
def text(self, x, y, s, *args, **kwargs):
"""
Add text to figure at location x,y (relative 0-1 coords) See
the help for Axis text for the meaning of the other arguments
kwargs control the Text properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x,
y=y,
text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
text.__doc__ = dedent(text.__doc__) % artist.kwdocd
def _set_artist_props(self, a):
if a != self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None: return ax
return self.add_subplot(111, **kwargs)
gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers:
func(self)
return a
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
SAVEFIG(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None):
Save the current figure.
fname - the filename to save the current figure to. The
output formats supported depend on the backend being
used. and are deduced by the extension to fname.
Possibilities are eps, jpeg, pdf, png, ps, svg. fname
can also be a file or file-like object - cairo backend
only.
dpi - is the resolution in dots per inch. If
None it will default to the value savefig.dpi in the
matplotlibrc file
facecolor and edgecolor are the colors of the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output
papertype is is one of 'letter', 'legal', 'executive', 'ledger', 'a0'
through 'a10', or 'b0' through 'b10' - only supported for postscript
output
format - one of the file extensions supported by the active backend.
"""
for key in ('dpi', 'facecolor', 'edgecolor'):
if not kwargs.has_key(key):
kwargs[key] = rcParams['savefig.%s' % key]
self.canvas.print_figure(*args, **kwargs)
def colorbar(self, mappable, cax=None, ax=None, **kw):
if ax is None:
ax = self.gca()
if cax is None:
cax, kw = cbar.make_axes(ax, **kw)
cb = cbar.Colorbar(cax, mappable, **kw)
mappable.add_observer(cb)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
colorbar.__doc__ = '''
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper: %s
''' % cbar.colorbar_doc
def subplots_adjust(self, *args, **kwargs):
"""
subplots_adjust(self, left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None):
Update the SubplotParams with kwargs (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(
ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(
ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
class Figure(Artist):
"""
The Figure instance supports callbacks through a *callbacks*
attribute which is a :class:`matplotlib.cbook.CallbackRegistry`
instance. The events you can connect to are 'dpi_changed', and
the callback will be called with ``func(fig)`` where fig is the
:class:`Figure` instance.
The figure patch is drawn by a the attribute
*patch*
a :class:`matplotlib.patches.Rectangle` instance
*suppressComposite*
for multiple figure images, the figure will make composite
images depending on the renderer option_image_nocomposite
function. If suppressComposite is True|False, this will
override the renderer
"""
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(
self,
figsize=None, # defaults to rc figure.figsize
dpi=None, # defaults to rc figure.dpi
facecolor=None, # defaults to rc figure.facecolor
edgecolor=None, # defaults to rc figure.edgecolor
linewidth=1.0, # the default linewidth of the frame
frameon=True, # whether or not to draw the figure frame
subplotpars=None, # default to rc
):
"""
*figsize*
w,h tuple in inches
*dpi*
dots per inch
*facecolor*
the figure patch facecolor; defaults to rc ``figure.facecolor``
*edgecolor*
the figure patch edge color; defaults to rc ``figure.edgecolor``
*linewidth*
the figure patch edge linewidth; the default linewidth of the frame
*frameon*
if False, suppress drawing the figure frame
*subplotpars*
a :class:`SubplotParams` instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry(("dpi_changed",))
if figsize is None:
figsize = rcParams["figure.figsize"]
if dpi is None:
dpi = rcParams["figure.dpi"]
if facecolor is None:
facecolor = rcParams["figure.facecolor"]
if edgecolor is None:
edgecolor = rcParams["figure.edgecolor"]
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
# the figurePatch name is deprecated
self.patch = self.figurePatch = Rectangle(
xy=(0, 0), width=1, height=1, facecolor=facecolor, edgecolor=edgecolor, linewidth=linewidth
)
self._set_artist_props(self.patch)
self._hold = rcParams["axes.hold"]
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self.dpi_scale_trans.clear().scale(dpi, dpi)
self.callbacks.process("dpi_changed", self)
dpi = property(_get_dpi, _set_dpi)
def autofmt_xdate(self, bottom=0.2, rotation=30, ha="right"):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
*bottom*
the bottom of the subplots for :meth:`subplots_adjust`
*rotation*
the rotation of the xtick labels
*ha*
the horizontal alignment of the xticklabels
"""
allsubplots = np.alltrue([hasattr(ax, "is_last_row") for ax in self.axes])
if len(self.axes) == 1:
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel("")
if allsubplots:
self.subplots_adjust(bottom=bottom)
def get_children(self):
"get a list of artists contained in the figure"
children = [self.patch]
children.extend(self.artists)
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""
Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains):
return self._contains(self, mouseevent)
# inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x, mouseevent.y)
return inside, {}
def get_window_extent(self, *args, **kwargs):
"get the figure bounding box in display space; kwargs are void"
return self.bbox
def suptitle(self, t, **kwargs):
"""
Add a centered title to the figure.
kwargs are :class:`matplotlib.text.Text` properties. Using figure
coordinates, the defaults are:
- *x* = 0.5
the x location of text in figure coords
- *y* = 0.98
the y location of the text in figure coords
- *horizontalalignment* = 'center'
the horizontal alignment of the text
- *verticalalignment* = 'top'
the vertical alignment of the text
A :class:`matplotlib.text.Text` instance is returned.
Example::
fig.subtitle('this is the figure title', fontsize=12)
"""
x = kwargs.pop("x", 0.5)
y = kwargs.pop("y", 0.98)
if ("horizontalalignment" not in kwargs) and ("ha" not in kwargs):
kwargs["horizontalalignment"] = "center"
if ("verticalalignment" not in kwargs) and ("va" not in kwargs):
kwargs["verticalalignment"] = "top"
t = self.text(x, y, t, **kwargs)
return t
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None:
self._hold = not self._hold
else:
self._hold = b
def figimage(self, X, xo=0, yo=0, alpha=1.0, norm=None, cmap=None, vmin=None, vmax=None, origin=None):
"""
call signatures::
figimage(X, **kwargs)
adds a non-resampled array *X* to the figure.
::
figimage(X, xo, yo)
with pixel offsets *xo*, *yo*,
*X* must be a float array:
* If *X* is MxN, assume luminance (grayscale)
* If *X* is MxNx3, assume RGB
* If *X* is MxNx4, assume RGBA
Optional keyword arguments:
========= ==========================================================
Keyword Description
========= ==========================================================
xo or yo An integer, the *x* and *y* image offset in pixels
cmap a :class:`matplotlib.cm.ColorMap` instance, eg cm.jet.
If None, default to the rc ``image.cmap`` value
norm a :class:`matplotlib.colors.Normalize` instance. The
default is normalization(). This scales luminance -> 0-1
vmin|vmax are used to scale a luminance image to 0-1. If either is
None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for
*vmin* and *vmax* will be ignored.
alpha the alpha blending value, default is 1.0
origin [ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
========= ==========================================================
figimage complements the axes image
(:meth:`~matplotlib.axes.Axes.imshow`) which will be resampled
to fit the current axes. If you want a resampled image to
fill the entire figure, you can define an
:class:`~matplotlib.axes.Axes` with size [0,1,0,1].
An :class:`matplotlib.image.FigureImage` instance is returned.
.. plot:: mpl_examples/pylab_examples/figimage_demo.py
"""
if not self._hold:
self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_figsize_inches(self, *args, **kwargs):
import warnings
warnings.warn("Use set_size_inches instead!", DeprecationWarning)
self.set_size_inches(*args, **kwargs)
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage::
fig.set_size_inches(w,h) # OR
fig.set_size_inches((w,h) )
optional kwarg *forward=True* will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
WARNING: forward=True is broken on all backends except GTK*
and WX*
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get("forward", False)
if len(args) == 1:
w, h = args[0]
else:
w, h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w * dpival
canvash = h * dpival
manager = getattr(self.canvas, "manager", None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
"Get the edge color of the Figure rectangle"
return self.patch.get_edgecolor()
def get_facecolor(self):
"Get the face color of the Figure rectangle"
return self.patch.get_facecolor()
def get_figwidth(self):
"Return the figwidth as a float"
return self.bbox_inches.width
def get_figheight(self):
"Return the figheight as a float"
return self.bbox_inches.height
def get_dpi(self):
"Return the dpi as a float"
return self.dpi
def get_frameon(self):
"get the boolean indicating frameon"
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.patch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
"remove a from the figure and update the current axes"
self.axes.remove(a)
self._axstack.remove(a)
keys = []
for key, thisax in self._seen.items():
if a == thisax:
del self._seen[key]
for func in self._axobservers:
func(self)
def _make_key(self, *args, **kwargs):
"make a hashable key out of args and kwargs"
def fixitems(items):
# items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v):
v = tuple(v)
ret.append((k, v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a):
a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.items())
return key
def add_axes(self, *args, **kwargs):
"""
Add an a axes with axes rect [*left*, *bottom*, *width*,
*height*] where all quantities are in fractions of figure
width and height. kwargs are legal
:class:`~matplotlib.axes.Axes` kwargs plus *projection* which
sets the projection type of the axes. (For backward
compatibility, ``polar=True`` may also be provided, which is
equivalent to ``projection='polar'``). Valid values for
*projection* are: %(list)s. Some of these projections support
additional kwargs, which may be provided to :meth:`add_axes`::
rect = l,b,w,h
fig.add_axes(rect)
fig.add_axes(rect, frameon=False, axisbg='g')
fig.add_axes(rect, polar=True)
fig.add_axes(rect, projection='polar')
fig.add_axes(ax) # add an Axes instance
If the figure already has an axes with the same parameters,
then it will simply make that axes current and return it. If
you do not want this behavior, eg. you want to force the
creation of a new axes, you must use a unique set of args and
kwargs. The axes :attr:`~matplotlib.axes.Axes.label`
attribute has been exposed for this purpose. Eg., if you want
two axes that are otherwise identical to be added to the
figure, make sure you give them unique labels::
fig.add_axes(rect, label='axes1')
fig.add_axes(rect, label='axes2')
The :class:`~matplotlib.axes.Axes` instance will be returned.
The following kwargs are supported:
%(Axes)s
"""
key = self._make_key(*args, **kwargs)
if key in self._seen:
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args):
return
if isinstance(args[0], Axes):
a = args[0]
assert a.get_figure() is self
else:
rect = args[0]
ispolar = kwargs.pop("polar", False)
projection = kwargs.pop("projection", None)
if ispolar:
if projection is not None and projection != "polar":
raise ValueError(
"polar=True, yet projection='%s'. "
+ "Only one of these arguments should be supplied." % projection
)
projection = "polar"
a = projection_factory(projection, self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_axes.__doc__ = dedent(add_axes.__doc__) % {
"list": (", ".join(get_projection_names())),
"Axes": artist.kwdocd["Axes"],
}
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples:
fig.add_subplot(111)
fig.add_subplot(1,1,1) # equivalent but more general
fig.add_subplot(212, axisbg='r') # add subplot with red background
fig.add_subplot(111, polar=True) # add a polar subplot
fig.add_subplot(sub) # add Subplot instance sub
*kwargs* are legal :class:`!matplotlib.axes.Axes` kwargs plus
*projection*, which chooses a projection type for the axes.
(For backward compatibility, *polar=True* may also be
provided, which is equivalent to *projection='polar'*). Valid
values for *projection* are: %(list)s. Some of these projections
support additional *kwargs*, which may be provided to
:meth:`add_axes`.
The :class:`~matplotlib.axes.Axes` instance will be returned.
If the figure already has a subplot with key (*args*,
*kwargs*) then it will simply make that subplot current and
return it.
The following kwargs are supported:
%(Axes)s
"""
kwargs = kwargs.copy()
if not len(args):
return
if isinstance(args[0], SubplotBase):
a = args[0]
assert a.get_figure() is self
else:
ispolar = kwargs.pop("polar", False)
projection = kwargs.pop("projection", None)
if ispolar:
if projection is not None and projection != "polar":
raise ValueError(
"polar=True, yet projection='%s'. "
+ "Only one of these arguments should be supplied." % projection
)
projection = "polar"
projection_class = get_projection_class(projection)
key = self._make_key(*args, **kwargs)
if key in self._seen:
ax = self._seen[key]
if isinstance(ax, projection_class):
self.sca(ax)
return ax
else:
self.axes.remove(ax)
self._axstack.remove(ax)
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self._seen[key] = a
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
return a
add_subplot.__doc__ = dedent(add_subplot.__doc__) % {
"list": ", ".join(get_projection_names()),
"Axes": artist.kwdocd["Axes"],
}
def clf(self):
"""
Clear the figure
"""
self.suppressComposite = None
self.callbacks = cbook.CallbackRegistry(("dpi_changed",))
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self.axes
toolbar = getattr(self.canvas, "toolbar", None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self._seen = {}
self.artists = []
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
self._axobservers = []
def clear(self):
"""
Clear the figure -- synonym for fig.clf
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using :class:`matplotlib.backend_bases.RendererBase` instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
# print 'figure draw'
if not self.get_visible():
return
renderer.open_group("figure")
if self.frameon:
self.patch.draw(renderer)
# todo: respect zorder
for p in self.patches:
p.draw(renderer)
for l in self.lines:
l.draw(renderer)
for a in self.artists:
a.draw(renderer)
# override the renderer default if self.suppressComposite
# is not None
composite = renderer.option_image_nocomposite()
if self.suppressComposite is not None:
composite = self.suppressComposite
if len(self.images) <= 1 or composite or not allequal([im.origin for im in self.images]):
for im in self.images:
im.draw(renderer)
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height * mag, self.bbox.width * mag, ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
clippath, affine = self.get_transformed_clip_path_and_affine()
renderer.draw_image(l, b, im, self.bbox, clippath, affine)
# render the axes
for a in self.axes:
a.draw(renderer)
# render the figure text
for t in self.texts:
t.draw(renderer)
for legend in self.legends:
legend.draw(renderer)
renderer.close_group("figure")
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
"""
draw :class:`matplotlib.artist.Artist` instance *a* only --
this is available only after the figure is drawn
"""
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of
:class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances, and loc can be a
string or an integer specifying the legend location
USAGE::
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The *loc* location codes are::
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
The legend instance is returned. The following kwargs are supported
*loc*
the location of the legend
*numpoints*
the number of points in the legend line
*prop*
a :class:`matplotlib.font_manager.FontProperties` instance
*pad*
the fractional whitespace inside the legend border
*markerscale*
the relative size of legend markers vs. original
*shadow*
if True, draw a shadow behind legend
*labelsep*
the vertical space between the legend entries
*handlelen*
the length of the legend lines
*handletextsep*
the space between the legend line and legend text
*axespad*
the border between the axes and legend edge
.. plot:: mpl_examples/pylab_examples/figlegend_demo.py
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
def text(self, x, y, s, *args, **kwargs):
"""
Call signature::
figtext(x, y, s, fontdict=None, **kwargs)
Add text to figure at location *x*, *y* (relative 0-1
coords). See :func:`~matplotlib.pyplot.text` for the meaning
of the other arguments.
kwargs control the :class:`~matplotlib.text.Text` properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(x=x, y=y, text=s)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
text.__doc__ = dedent(text.__doc__) % artist.kwdocd
def _set_artist_props(self, a):
if a != self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None:
ispolar = kwargs.get("polar", False)
projection = kwargs.get("projection", None)
if ispolar:
if projection is not None and projection != "polar":
raise ValueError(
"polar=True, yet projection='%s'. "
+ "Only one of these arguments should be supplied." % projection
)
projection = "polar"
projection_class = get_projection_class(projection)
if isinstance(ax, projection_class):
return ax
return self.add_subplot(111, **kwargs)
gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd
def sca(self, a):
"Set the current axes to be a and return a"
self._axstack.bubble(a)
for func in self._axobservers:
func(self)
return a
def add_axobserver(self, func):
"whenever the axes state change, func(self) will be called"
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
call signature::
savefig(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None,
transparent=False):
Save the current figure.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename.
Keyword arguments:
*dpi*: [ None | scalar > 0 ]
The resolution in dots per inch. If *None* it will default to
the value ``savefig.dpi`` in the matplotlibrc file.
*facecolor*, *edgecolor*:
the colors of the figure rectangle
*orientation*: [ 'landscape' | 'portrait' ]
not supported on all backends; currently only on postscript output
*papertype*:
One of 'letter', 'legal', 'executive', 'ledger', 'a0' through
'a10', 'b0' through 'b10'. Only supported for postscript
output.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*transparent*:
If *True*, the figure patch and axes patches will all be
transparent. This is useful, for example, for displaying
a plot on top of a colored background on a web page. The
transparency of these patches will be restored to their
original values upon exit of this function.
"""
for key in ("dpi", "facecolor", "edgecolor"):
if key not in kwargs:
kwargs[key] = rcParams["savefig.%s" % key]
transparent = kwargs.pop("transparent", False)
if transparent:
original_figure_alpha = self.patch.get_alpha()
self.patch.set_alpha(0.0)
original_axes_alpha = []
for ax in self.axes:
patch = ax.patch
original_axes_alpha.append(patch.get_alpha())
patch.set_alpha(0.0)
self.canvas.print_figure(*args, **kwargs)
if transparent:
self.patch.set_alpha(original_figure_alpha)
for ax, alpha in zip(self.axes, original_axes_alpha):
ax.patch.set_alpha(alpha)
def colorbar(self, mappable, cax=None, ax=None, **kw):
if ax is None:
ax = self.gca()
if cax is None:
cax, kw = cbar.make_axes(ax, **kw)
cax.hold(True)
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
# print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_bruteforce(m)
self.cbid = mappable.callbacksSM.connect("changed", on_changed)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
colorbar.__doc__ = (
"""
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper:
%s
"""
% cbar.colorbar_doc
)
def subplots_adjust(self, *args, **kwargs):
"""
fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None)
Update the :class:`SubplotParams` with *kwargs* (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
def ginput(self, n=1, timeout=30, show_clicks=True):
"""
call signature::
ginput(self, n=1, timeout=30, show_clicks=True)
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is zero or negative, does not timeout.
If *n* is zero or negative, accumulate clicks until a middle click
(or potentially both mouse buttons at once) terminates the input.
Right clicking cancels last input.
The keyboard can also be used to select points in case your mouse
does not have one or more of the buttons. The delete and backspace
keys act like right clicking (i.e., remove last point), the enter key
terminates input and any other key (not already used by the window
manager) selects a point.
"""
blocking_mouse_input = BlockingMouseInput(self)
return blocking_mouse_input(n=n, timeout=timeout, show_clicks=show_clicks)
def waitforbuttonpress(self, timeout=-1):
"""
call signature::
waitforbuttonpress(self, timeout=-1)
Blocking call to interact with the figure.
This will return True is a key was pressed, False if a mouse
button was pressed and None if *timeout* was reached without
either being pressed.
If *timeout* is negative, does not timeout.
"""
blocking_input = BlockingKeyMouseInput(self)
return blocking_input(timeout=timeout)
class Figure(Artist):
"""
The Figure instance supports callbacks through a callbacks
attribute which is a cbook.CallbackRegistry instance. The events
you can connect to are 'dpi_changed', and the callback will be
called with func(fig) where fig is the Figure instance
"""
def __str__(self):
return "Figure(%gx%g)" % tuple(self.bbox.size)
def __init__(self,
figsize = None, # defaults to rc figure.figsize
dpi = None, # defaults to rc figure.dpi
facecolor = None, # defaults to rc figure.facecolor
edgecolor = None, # defaults to rc figure.edgecolor
linewidth = 1.0, # the default linewidth of the frame
frameon = True, # whether or not to draw the figure frame
subplotpars = None, # default to rc
):
"""
figsize is a w,h tuple in inches
dpi is dots per inch
subplotpars is a SubplotParams instance, defaults to rc
"""
Artist.__init__(self)
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
if figsize is None : figsize = rcParams['figure.figsize']
if dpi is None : dpi = rcParams['figure.dpi']
if facecolor is None: facecolor = rcParams['figure.facecolor']
if edgecolor is None: edgecolor = rcParams['figure.edgecolor']
self.dpi_scale_trans = Affine2D()
self.dpi = dpi
self.bbox_inches = Bbox.from_bounds(0, 0, *figsize)
self.bbox = TransformedBbox(self.bbox_inches, self.dpi_scale_trans)
self.frameon = frameon
self.transFigure = BboxTransformTo(self.bbox)
self.figurePatch = Rectangle(
xy=(0,0), width=1, height=1,
facecolor=facecolor, edgecolor=edgecolor,
linewidth=linewidth,
)
self._set_artist_props(self.figurePatch)
self._hold = rcParams['axes.hold']
self.canvas = None
if subplotpars is None:
subplotpars = SubplotParams()
self.subplotpars = subplotpars
self._axstack = Stack() # maintain the current axes
self.axes = []
self.clf()
self._cachedRenderer = None
self._autoLayout = rcParams['figure.autolayout']
def _get_dpi(self):
return self._dpi
def _set_dpi(self, dpi):
self._dpi = dpi
self.dpi_scale_trans.clear().scale(dpi, dpi)
self.callbacks.process('dpi_changed', self)
dpi = property(_get_dpi, _set_dpi)
def enable_auto_layout(self, setting=True):
self._autoLayout = setting
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
Date ticklabels often overlap, so it is useful to rotate them
and right align them. Also, a common use case is a number of
subplots with shared xaxes where the x-axis is date data. The
ticklabels are often long, and it helps to rotate them on the
bottom subplot and turn them off on other subplots, as well as
turn off xlabels.
bottom : the bottom of the subplots for subplots_adjust
rotation: the rotation of the xtick labels
ha : the horizontal alignment of the xticklabels
"""
allsubplots = np.alltrue([hasattr(ax, 'is_last_row') for ax in self.axes])
if len(self.axes)==1:
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
if allsubplots:
for ax in self.get_axes():
if ax.is_last_row():
for label in ax.get_xticklabels():
label.set_ha(ha)
label.set_rotation(rotation)
else:
for label in ax.get_xticklabels():
label.set_visible(False)
ax.set_xlabel('')
if allsubplots and not self._autoLayout:
self.subplots_adjust(bottom=bottom)
def get_children(self):
'get a list of artists contained in the figure'
children = [self.figurePatch]
children.extend(self.axes)
children.extend(self.lines)
children.extend(self.patches)
children.extend(self.texts)
children.extend(self.images)
children.extend(self.legends)
return children
def contains(self, mouseevent):
"""Test whether the mouse event occurred on the figure.
Returns True,{}
"""
if callable(self._contains): return self._contains(self,mouseevent)
#inside = mouseevent.x >= 0 and mouseevent.y >= 0
inside = self.bbox.contains(mouseevent.x,mouseevent.y)
return inside,{}
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space; kwargs are void'
return self.bbox
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def hold(self, b=None):
"""
Set the hold state. If hold is None (default), toggle the
hold state. Else set the hold state to boolean value b.
Eg
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
"""
if b is None: self._hold = not self._hold
else: self._hold = b
def figimage(self, X,
xo=0,
yo=0,
alpha=1.0,
norm=None,
cmap=None,
vmin=None,
vmax=None,
origin=None):
"""
FIGIMAGE(X) # add non-resampled array to figure
FIGIMAGE(X, xo, yo) # with pixel offsets
FIGIMAGE(X, **kwargs) # control interpolation ,scaling, etc
Add a nonresampled figure to the figure from array X. xo and yo are
offsets in pixels
X must be a float array
If X is MxN, assume luminance (grayscale)
If X is MxNx3, assume RGB
If X is MxNx4, assume RGBA
The following kwargs are allowed:
* cmap is a cm colormap instance, eg cm.jet. If None, default to
the rc image.cmap valuex
* norm is a matplotlib.colors.Normalize instance; default is
normalization(). This scales luminance -> 0-1
* vmin and vmax are used to scale a luminance image to 0-1. If
either is None, the min and max of the luminance values will be
used. Note if you pass a norm instance, the settings for vmin and
vmax will be ignored.
* alpha = 1.0 : the alpha blending value
* origin is either 'upper' or 'lower', which indicates where the [0,0]
index of the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value
This complements the axes image (Axes.imshow) which will be resampled
to fit the current axes. If you want a resampled image to fill the
entire figure, you can define an Axes with size [0,1,0,1].
A image.FigureImage instance is returned.
"""
if not self._hold: self.clf()
im = FigureImage(self, cmap, norm, xo, yo, origin)
im.set_array(X)
im.set_alpha(alpha)
if norm is None:
im.set_clim(vmin, vmax)
self.images.append(im)
return im
def set_figsize_inches(self, *args, **kwargs):
import warnings
warnings.warn('Use set_size_inches instead!', DeprecationWarning)
self.set_size_inches(*args, **kwargs)
def set_size_inches(self, *args, **kwargs):
"""
set_size_inches(w,h, forward=False)
Set the figure size in inches
Usage: set_size_inches(self, w,h) OR
set_size_inches(self, (w,h) )
optional kwarg forward=True will cause the canvas size to be
automatically updated; eg you can resize the figure window
from the shell
WARNING: forward=True is broken on all backends except GTK*
and WX*
ACCEPTS: a w,h tuple with w,h in inches
"""
forward = kwargs.get('forward', False)
if len(args)==1:
w,h = args[0]
else:
w,h = args
dpival = self.dpi
self.bbox_inches.p1 = w, h
if forward:
dpival = self.dpi
canvasw = w*dpival
canvash = h*dpival
manager = getattr(self.canvas, 'manager', None)
if manager is not None:
manager.resize(int(canvasw), int(canvash))
def get_size_inches(self):
return self.bbox_inches.p1
def get_edgecolor(self):
'Get the edge color of the Figure rectangle'
return self.figurePatch.get_edgecolor()
def get_facecolor(self):
'Get the face color of the Figure rectangle'
return self.figurePatch.get_facecolor()
def get_figwidth(self):
'Return the figwidth as a float'
return self.bbox_inches.width
def get_figheight(self):
'Return the figheight as a float'
return self.bbox_inches.height
def get_dpi(self):
'Return the dpi as a float'
return self.dpi
def get_frameon(self):
'get the boolean indicating frameon'
return self.frameon
def set_edgecolor(self, color):
"""
Set the edge color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.figurePatch.set_edgecolor(color)
def set_facecolor(self, color):
"""
Set the face color of the Figure rectangle
ACCEPTS: any matplotlib color - see help(colors)
"""
self.figurePatch.set_facecolor(color)
def set_dpi(self, val):
"""
Set the dots-per-inch of the figure
ACCEPTS: float
"""
self.dpi = val
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.x1 = val
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.bbox_inches.y1 = val
def set_frameon(self, b):
"""
Set whether the figure frame (background) is displayed or invisible
ACCEPTS: boolean
"""
self.frameon = b
def delaxes(self, a):
'remove a from the figure and update the current axes'
self.axes.remove(a)
self._axstack.remove(a)
keys = []
for key, thisax in self._seen.items():
if a==thisax: del self._seen[key]
for func in self._axobservers: func(self)
def _make_key(self, *args, **kwargs):
'make a hashable key out of args and kwargs'
def fixitems(items):
#items may have arrays and lists in them, so convert them
# to tuples for the key
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k,v))
return tuple(ret)
def fixlist(args):
ret = []
for a in args:
if iterable(a): a = tuple(a)
ret.append(a)
return tuple(ret)
key = fixlist(args), fixitems(kwargs.items())
return key
def add_axes(self, *args, **kwargs):
"""
Add an a axes with axes rect [left, bottom, width, height] where all
quantities are in fractions of figure width and height. kwargs are
legal Axes kwargs plus "projection" which sets the projection type
of the axes. (For backward compatibility, polar=True may also be
provided, which is equivalent to projection='polar').
Valid values for "projection" are: %s. Some of these projections
support additional kwargs, which may be provided to add_axes.
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
add_axes(rect, projection='polar')
add_axes(ax) # add an Axes instance
If the figure already has an axes with key *args, *kwargs then it will
simply make that axes current and return it. If you do not want this
behavior, eg you want to force the creation of a new axes, you must
use a unique set of args and kwargs. The artist "label" attribute has
been exposed for this purpose. Eg, if you want two axes that are
otherwise identical to be added to the figure, make sure you give them
unique labels:
add_axes(rect, label='axes1')
add_axes(rect, label='axes2')
The Axes instance will be returned
The following kwargs are supported:
%s
""" % (", ".join(get_projection_names()), '%(Axes)s')
key = self._make_key(*args, **kwargs)
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Axes):
a = args[0]
assert(a.get_figure() is self)
else:
rect = args[0]
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
a = projection_factory(projection, self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_axes.__doc__ = dedent(add_axes.__doc__) % artist.kwdocd
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples
add_subplot(111)
add_subplot(1,1,1) # equivalent but more general
add_subplot(212, axisbg='r') # add subplot with red background
add_subplot(111, polar=True) # add a polar subplot
add_subplot(sub) # add Subplot instance sub
kwargs are legal Axes kwargs plus "projection", which chooses
a projection type for the axes. (For backward compatibility,
polar=True may also be provided, which is equivalent to
projection='polar'). Valid values for "projection" are: %s.
Some of these projections support additional kwargs, which may
be provided to add_axes.
The Axes instance will be returned.
If the figure already has a subplot with key *args, *kwargs then it will
simply make that subplot current and return it
The following kwargs are supported:
%s
""" % (", ".join(get_projection_names()), "%(Axes)s")
key = self._make_key(*args, **kwargs)
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], SubplotBase):
a = args[0]
assert(a.get_figure() is self)
else:
ispolar = kwargs.pop('polar', False)
projection = kwargs.pop('projection', None)
if ispolar:
if projection is not None and projection != 'polar':
raise ValueError(
"polar=True, yet projection='%s'. " +
"Only one of these arguments should be supplied." %
projection)
projection = 'polar'
projection_class = get_projection_class(projection)
a = subplot_class_factory(projection_class)(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
add_subplot.__doc__ = dedent(add_subplot.__doc__) % artist.kwdocd
def clf(self):
"""
Clear the figure
"""
self.callbacks = cbook.CallbackRegistry(('dpi_changed', ))
for ax in tuple(self.axes): # Iterate over the copy.
ax.cla()
self.delaxes(ax) # removes ax from self.axes
toolbar = getattr(self.canvas, 'toolbar', None)
if toolbar is not None:
toolbar.update()
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
self._axobservers = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using Renderer instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
#print 'figure draw'
if not self.get_visible(): return
renderer.open_group('figure')
if self.frameon: self.figurePatch.draw(renderer)
for p in self.patches: p.draw(renderer)
for l in self.lines: l.draw(renderer)
if len(self.images)<=1 or renderer.option_image_nocomposite() or not allequal([im.origin for im in self.images]):
for im in self.images:
im.draw(renderer)
else:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
mag = renderer.get_image_magnification()
ims = [(im.make_image(mag), im.ox*mag, im.oy*mag)
for im in self.images]
im = _image.from_images(self.bbox.height * mag,
self.bbox.width * mag,
ims)
im.is_grayscale = False
l, b, w, h = self.bbox.bounds
renderer.draw_image(l, b, im, self.bbox,
*self.get_transformed_clip_path_and_affine())
# update the positions of the axes
# This gives each of the axes the opportunity to resize itself
# based on the tick and axis labels etc., and then makes sure
# that any axes that began life aligned to another axes remains
# aligned after these adjustments
if self._autoLayout and len(self.axes) > 1:
aligned_positions = [{}, {}, {}, {}]
sizes = [{}, {}]
for a in self.axes:
a.update_layout(renderer)
orig_pos = a.get_position(True)
curr_pos = a.get_position()
for pos, orig, curr in zip(aligned_positions,
orig_pos.get_points().flatten(),
curr_pos.get_points().flatten()):
if orig in pos:
pos[orig][0].append(a)
pos[orig][1].add(curr)
else:
pos[orig] = [[a], set([curr])]
for size, orig, curr in zip(sizes,
orig_pos.size,
curr_pos.size):
orig = round(orig * 1000.0) / 1000.0
if orig in size:
size[orig][0].append(a)
size[orig][1].add(curr)
else:
size[orig] = [[a], set([curr])]
for i, pos in enumerate(aligned_positions):
for axes, places in pos.values():
if len(places) > 1:
if i < 2:
curr = max(places)
else:
curr = min(places)
for a in axes:
curr_pos = a.get_position().frozen()
curr_pos.get_points()[i/2, i%2] = curr
a.set_position(curr_pos, 'active')
for i, size in enumerate(sizes):
for axes, dims in size.values():
new = min(dims)
for a in axes:
curr_pos = a.get_position().frozen()
curr = curr_pos.size[i]
if curr > new:
extra = (curr - new) * 0.5
curr_pos.get_points()[0, i] += extra
curr_pos.get_points()[1, i] -= extra
a.set_position(curr_pos, 'active')
elif self._autoLayout:
for a in self.axes: a.update_layout(renderer)
# render the axes
for a in self.axes: a.draw(renderer)
# render the figure text
for t in self.texts: t.draw(renderer)
for legend in self.legends:
legend.draw(renderer)
renderer.close_group('figure')
self._cachedRenderer = renderer
self.canvas.draw_event(renderer)
def draw_artist(self, a):
'draw artist only -- this is available only after the figure is drawn'
assert self._cachedRenderer is not None
a.draw(self._cachedRenderer)
def get_axes(self):
return self.axes
def legend(self, handles, labels, *args, **kwargs):
"""
Place a legend in the figure. Labels are a sequence of
strings, handles is a sequence of line or patch instances, and
loc can be a string or an integer specifying the legend
location
USAGE:
legend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right')
The LOC location codes are
'best' : 0, (currently not supported for figure 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 also be an (x,y) tuple in figure coords, which
specifies the lower left of the legend box. figure coords are
(0,0) is the left, bottom of the figure and 1,1 is the right,
top.
The legend instance is returned. The following kwargs are supported:
loc = "upper right" #
numpoints = 4 # the number of points in the legend line
prop = FontProperties(size='smaller') # the font property
pad = 0.2 # the fractional whitespace inside the legend border
markerscale = 0.6 # the relative size of legend markers vs. original
shadow # if True, draw a shadow behind legend
labelsep = 0.005 # the vertical space between the legend entries
handlelen = 0.05 # the length of the legend lines
handletextsep = 0.02 # the space between the legend line and legend text
axespad = 0.02 # the border between the axes and legend edge
"""
handles = flatten(handles)
l = Legend(self, handles, labels, *args, **kwargs)
self.legends.append(l)
return l
def text(self, x, y, s, *args, **kwargs):
"""
Add text to figure at location x,y (relative 0-1 coords) See
the help for Axis text for the meaning of the other arguments
kwargs control the Text properties:
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x, y=y, text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
text.__doc__ = dedent(text.__doc__) % artist.kwdocd
def _set_artist_props(self, a):
if a!= self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None: return ax
return self.add_subplot(111, **kwargs)
gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers: func(self)
return a
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
SAVEFIG(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None):
Save the current figure.
fname - the filename to save the current figure to. The
output formats supported depend on the backend being
used. and are deduced by the extension to fname.
Possibilities are eps, jpeg, pdf, png, ps, svg. fname
can also be a file or file-like object - cairo backend
only.
dpi - is the resolution in dots per inch. If
None it will default to the value savefig.dpi in the
matplotlibrc file
facecolor and edgecolor are the colors of the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output
papertype is is one of 'letter', 'legal', 'executive', 'ledger', 'a0'
through 'a10', or 'b0' through 'b10' - only supported for postscript
output
format - one of the file extensions supported by the active backend.
"""
for key in ('dpi', 'facecolor', 'edgecolor'):
if not kwargs.has_key(key):
kwargs[key] = rcParams['savefig.%s'%key]
self.canvas.print_figure(*args, **kwargs)
def colorbar(self, mappable, cax=None, ax=None, **kw):
if ax is None:
ax = self.gca()
if cax is None:
cax, kw = cbar.make_axes(ax, **kw)
cax.hold(True)
cb = cbar.Colorbar(cax, mappable, **kw)
def on_changed(m):
#print 'calling on changed', m.get_cmap().name
cb.set_cmap(m.get_cmap())
cb.set_clim(m.get_clim())
cb.update_bruteforce(m)
self.cbid = mappable.callbacksSM.connect('changed', on_changed)
mappable.set_colorbar(cb, cax)
self.sca(ax)
return cb
colorbar.__doc__ = '''
Create a colorbar for a ScalarMappable instance.
Documentation for the pylab thin wrapper: %s
'''% cbar.colorbar_doc
def subplots_adjust(self, *args, **kwargs):
"""
subplots_adjust(self, left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
fig.subplots_adjust(left=None, bottom=None, right=None, wspace=None, hspace=None):
Update the SubplotParams with kwargs (defaulting to rc where
None) and update the subplot locations
"""
self.subplotpars.update(*args, **kwargs)
import matplotlib.axes
for ax in self.axes:
if not isinstance(ax, matplotlib.axes.SubplotBase):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(ax._sharex, matplotlib.axes.SubplotBase):
ax._sharex.update_params()
ax.set_position(ax._sharex.figbox)
elif ax._sharey is not None and isinstance(ax._sharey, matplotlib.axes.SubplotBase):
ax._sharey.update_params()
ax.set_position(ax._sharey.figbox)
else:
ax.update_params()
ax.set_position(ax.figbox)
def ginput(self, n=1, timeout=30, verbose=False, show_clicks=True):
"""
ginput(self, n=1, timeout=30, verbose=False, show_clicks=True)
Blocking call to interact with the figure.
This will wait for n clicks from the user and return a list of the
coordinates of each click. If timeout is negative, does not
timeout. If n is negative, accumulate clicks until a middle
click terminates the input. Right clicking cancels last input.
"""
blocking_mouse_input = BlockingMouseInput(self)
return blocking_mouse_input(n=n, timeout=timeout,
verbose=verbose, show_clicks=True)
