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.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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._unit_conversions = {}
self.dpi = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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.clf()
self._cachedRenderer = None
def get_window_extent(self, renderer):
bbox = Bbox([[0, 0], [0, 0]])
trans_data_to_xy = self.get_transform().transform
bbox.update_from_data_xy(trans_data_to_xy(self.get_xydata()), ignore=True)
# correct for marker size, if any
if self._marker:
ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
bbox = bbox.padded(ms)
return bbox
def get_window_extent(self, renderer):
bbox = Bbox([[0, 0], [0, 0]])
trans_data_to_xy = self.get_transform().transform
bbox.update_from_data_xy(trans_data_to_xy(self.get_xydata()),
ignore=True)
# correct for marker size, if any
if self._marker:
ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
bbox = bbox.padded(ms)
return bbox
def get_window_extent(self, renderer):
'Return the bounding box of the table in window coords'
boxes = [
cell.get_window_extent(renderer) for cell in self._cells.values()
]
return Bbox.union(boxes)
def get_path_collection_extents(
master_transform, paths, transforms, offsets, offset_transform):
"""
Given a sequence of :class:`Path` objects,
:class:`~matplotlib.transforms.Transform` objects and offsets, as
found in a :class:`~matplotlib.collections.PathCollection`,
returns the bounding box that encapsulates all of them.
*master_transform* is a global transformation to apply to all paths
*paths* is a sequence of :class:`Path` instances.
*transforms* is a sequence of
:class:`~matplotlib.transforms.Affine2D` instances.
*offsets* is a sequence of (x, y) offsets (or an Nx2 array)
*offset_transform* is a :class:`~matplotlib.transforms.Affine2D`
to apply to the offsets before applying the offset to the path.
The way that *paths*, *transforms* and *offsets* are combined
follows the same method as for collections. Each is iterated over
independently, so if you have 3 paths, 2 transforms and 1 offset,
their combinations are as follows:
(A, A, A), (B, B, A), (C, A, A)
"""
from transforms import Bbox
if len(paths) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(
master_transform, paths, transforms, offsets, offset_transform))
def get_path_collection_extents(master_transform, paths, transforms, offsets,
offset_transform):
"""
Given a sequence of :class:`Path` objects,
:class:`~matplotlib.transforms.Transform` objects and offsets, as
found in a :class:`~matplotlib.collections.PathCollection`,
returns the bounding box that encapsulates all of them.
*master_transform* is a global transformation to apply to all paths
*paths* is a sequence of :class:`Path` instances.
*transforms* is a sequence of
:class:`~matplotlib.transforms.Affine2D` instances.
*offsets* is a sequence of (x, y) offsets (or an Nx2 array)
*offset_transform* is a :class:`~matplotlib.transforms.Affine2D`
to apply to the offsets before applying the offset to the path.
The way that *paths*, *transforms* and *offsets* are combined
follows the same method as for collections. Each is iterated over
independently, so if you have 3 paths, 2 transforms and 1 offset,
their combinations are as follows:
(A, A, A), (B, B, A), (C, A, A)
"""
from transforms import Bbox
if len(paths) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_path.get_path_collection_extents(
master_transform, paths, transforms, offsets, offset_transform))
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.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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._unit_conversions = {}
self.dpi = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
self._cachedRenderer = None
def get_window_extent(self, renderer):
bbox = Bbox.unit()
bbox.update_from_data_xy(self.get_transform().transform(self.get_xydata()), ignore=True)
# correct for marker size, if any
if self._marker is not None:
ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
bbox = bbox.padded(ms)
return bbox
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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.clf()
def get_window_extent(self, renderer):
"""
Get the axes bounding box in display space.
Subclasses should override for inclusion in the bounding box
"tight" calculation. Default is to return an empty bounding
box at 0, 0.
"""
return Bbox([[0, 0], [0, 0]])
def _get_grid_bbox(self, renderer):
"""Get a bbox, in axes co-ordinates for the cells.
Only include those in the range (0,0) to (maxRow, maxCol)"""
boxes = [
self._cells[pos].get_window_extent(renderer) for pos in self._cells.keys() if pos[0] >= 0 and pos[1] >= 0
]
bbox = Bbox.union(boxes)
return bbox.inverse_transformed(self.get_transform())
def get_path_collection_extents(*args):
"""
Given a sequence of :class:`Path` objects, returns the bounding
box that encapsulates all of them.
"""
from transforms import Bbox
if len(args[1]) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(*args))
def get_window_extent(self, renderer):
bbox = Bbox.unit()
bbox.update_from_data_xy(self.get_transform().transform(self.get_xydata()),
ignore=True)
# correct for marker size, if any
if self._marker is not None:
ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
bbox = bbox.padded(ms)
return bbox
def get_path_collection_extents(*args):
"""
Given a sequence of :class:`Path` objects, returns the bounding
box that encapsulates all of them.
"""
from transforms import Bbox
if len(args[1]) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(*args))
def get_window_extent(self, renderer=None):
#return _unit_box
if not self.get_visible(): return Bbox.unit()
if self._text == '':
tx, ty = self._get_xy_display()
return Bbox.from_bounds(tx,ty,0,0)
if renderer is not None:
self._renderer = renderer
if self._renderer is None:
raise RuntimeError('Cannot get window extent w/o renderer')
angle = self.get_rotation()
bbox, info = self._get_layout(self._renderer)
x, y = self.get_position()
x, y = self.get_transform().transform_point((x, y))
bbox = bbox.translated(x, y)
return bbox
def get_window_extent(self, renderer=None):
#return _unit_box
if not self.get_visible(): return Bbox.unit()
if self._text == '':
tx, ty = self._get_xy_display()
return Bbox.from_bounds(tx, ty, 0, 0)
if renderer is not None:
self._renderer = renderer
if self._renderer is None:
raise RuntimeError('Cannot get window extent w/o renderer')
angle = self.get_rotation()
bbox, info = self._get_layout(self._renderer)
x, y = self.get_position()
x, y = self.get_transform().transform_point((x, y))
bbox = bbox.translated(x, y)
return bbox
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 _get_grid_bbox(self, renderer):
"""Get a bbox, in axes co-ordinates for the cells.
Only include those in the range (0,0) to (maxRow, maxCol)"""
boxes = [self._cells[pos].get_window_extent(renderer)
for pos in self._cells.keys()
if pos[0] >= 0 and pos[1] >= 0]
bbox = Bbox.union(boxes)
return bbox.inverse_transformed(self.get_transform())
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_window_extent(self, renderer=None, dpi=None):
'''
Return a :class:`~matplotlib.transforms.Bbox` object bounding
the text, in display units.
In addition to being used internally, this is useful for
specifying clickable regions in a png file on a web page.
*renderer* defaults to the _renderer attribute of the text
object. This is not assigned until the first execution of
:meth:`draw`, so you must use this kwarg if you want
to call :meth:`get_window_extent` prior to the first
:meth:`draw`. For getting web page regions, it is
simpler to call the method after saving the figure.
*dpi* defaults to self.figure.dpi; the renderer dpi is
irrelevant. For the web application, if figure.dpi is not
the value used when saving the figure, then the value that
was used must be specified as the *dpi* argument.
'''
#return _unit_box
if not self.get_visible(): return Bbox.unit()
if dpi is not None:
dpi_orig = self.figure.dpi
self.figure.dpi = dpi
if self._text == '':
tx, ty = self._get_xy_display()
return Bbox.from_bounds(tx,ty,0,0)
if renderer is not None:
self._renderer = renderer
if self._renderer is None:
raise RuntimeError('Cannot get window extent w/o renderer')
bbox, info = self._get_layout(self._renderer)
x, y = self.get_position()
x, y = self.get_transform().transform_point((x, y))
bbox = bbox.translated(x, y)
if dpi is not None:
self.figure.dpi = dpi_orig
return bbox
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 get_extents(self, transform=None):
"""
Returns the extents (xmin, ymin, xmax, ymax) of the path.
Unlike computing the extents on the vertices alone, this
algorithm will take into account the curves and deal with
control points appropriately.
"""
from transforms import Bbox
if transform is not None:
transform = transform.frozen()
return Bbox(get_path_extents(self, transform))
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 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 = 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_handle_text_bbox(self, renderer):
'Get a bbox for the text and lines in axes coords'
bboxesText = [t.get_window_extent(renderer) for t in self.texts]
bboxesHandles = [h.get_window_extent(renderer) for h in self.legendHandles if h is not None]
bboxesAll = bboxesText
bboxesAll.extend(bboxesHandles)
bbox = Bbox.union(bboxesAll)
self.save = bbox
ibox = bbox.inverse_transformed(self.get_transform())
self.ibox = ibox
return ibox
def get_extents(self, transform=None):
"""
Returns the extents (*xmin*, *ymin*, *xmax*, *ymax*) of the
path.
Unlike computing the extents on the *vertices* alone, this
algorithm will take into account the curves and deal with
control points appropriately.
"""
from transforms import Bbox
path = self
if transform is not None:
transform = transform.frozen()
if not transform.is_affine:
path = self.transformed(transform)
transform = None
return Bbox(get_path_extents(path, transform))
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 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_paths_extents(paths, transforms=[]):
"""
Given a sequence of :class:`Path` objects and optional
:class:`~matplotlib.transforms.Transform` objects, returns the
bounding box that encapsulates all of them.
*paths* is a sequence of :class:`Path` instances.
*transforms* is an optional sequence of
:class:`~matplotlib.transforms.Affine2D` instances to apply to
each path.
"""
from transforms import Bbox, Affine2D
if len(paths) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_path.get_path_collection_extents(
Affine2D(), paths, transforms, [], Affine2D()))
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
# self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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
self.clf()
def get_paths_extents(paths, transforms=[]):
"""
Given a sequence of :class:`Path` objects and optional
:class:`~matplotlib.transforms.Transform` objects, returns the
bounding box that encapsulates all of them.
*paths* is a sequence of :class:`Path` instances.
*transforms* is an optional sequence of
:class:`~matplotlib.transforms.Affine2D` instances to apply to
each path.
"""
from transforms import Bbox, Affine2D
if len(paths) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(
Affine2D(), paths, transforms, [], Affine2D()))
def _find_best_position(self, width, height, consider=None):
"""Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are axes coords.
"""
assert self.isaxes # should always hold because function is only called internally
verts, bboxes, lines = self._auto_legend_data()
consider = [
self._loc_to_axes_coords(x, width, height)
for x in range(1, len(self.codes))
]
tx, ty = self.legendPatch.get_x(), self.legendPatch.get_y()
candidates = []
for l, b in consider:
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
badness = legendBox.count_contains(verts)
badness += legendBox.count_overlaps(bboxes)
for line in lines:
if line.intersects_bbox(legendBox):
badness += 1
ox, oy = l - tx, b - ty
if badness == 0:
return ox, oy
candidates.append((badness, (ox, oy)))
# rather than use min() or list.sort(), do this so that we are assured
# that in the case of two equal badnesses, the one first considered is
# returned.
minCandidate = candidates[0]
for candidate in candidates:
if candidate[0] < minCandidate[0]:
minCandidate = candidate
ox, oy = minCandidate[1]
return ox, oy
def contains(self, mouseevent):
"""Test whether the mouse event occurred in the table.
Returns T/F, {}
"""
if callable(self._contains):
return self._contains(self, mouseevent)
# TODO: Return index of the cell containing the cursor so that the user
# doesn't have to bind to each one individually.
if self._cachedRenderer is not None:
boxes = [self._cells[pos].get_window_extent(self._cachedRenderer)
for pos in self._cells.iterkeys()
if pos[0] >= 0 and pos[1] >= 0]
bbox = Bbox.union(boxes)
return bbox.contains(mouseevent.x, mouseevent.y), {}
else:
return False, {}
def contains(self, mouseevent):
"""Test whether the mouse event occurred in the table.
Returns T/F, {}
"""
if callable(self._contains):
return self._contains(self, mouseevent)
# TODO: Return index of the cell containing the cursor so that the user
# doesn't have to bind to each one individually.
if self._cachedRenderer is not None:
boxes = [self._cells[pos].get_window_extent(self._cachedRenderer)
for pos in self._cells.iterkeys()
if pos[0] >= 0 and pos[1] >= 0]
bbox = Bbox.union(boxes)
return bbox.contains(mouseevent.x, mouseevent.y), {}
else:
return False, {}
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 = 1.0, # the default linewidth of the frame
frameon = True,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
def _find_best_position(self, width, height, consider=None):
"""Determine the best location to place the legend.
`consider` is a list of (x, y) pairs to consider as a potential
lower-left corner of the legend. All are axes coords.
"""
assert self.isaxes # should always hold because function is only called internally
verts, bboxes, lines = self._auto_legend_data()
consider = [self._loc_to_axes_coords(x, width, height) for x in range(1, len(self.codes))]
tx, ty = self.legendPatch.get_x(), self.legendPatch.get_y()
candidates = []
for l, b in consider:
legendBox = Bbox.from_bounds(l, b, width, height)
badness = 0
badness = legendBox.count_contains(verts)
badness += legendBox.count_overlaps(bboxes)
for line in lines:
if line.intersects_bbox(legendBox):
badness += 1
ox, oy = l-tx, b-ty
if badness == 0:
return ox, oy
candidates.append((badness, (ox, oy)))
# rather than use min() or list.sort(), do this so that we are assured
# that in the case of two equal badnesses, the one first considered is
# returned.
minCandidate = candidates[0]
for candidate in candidates:
if candidate[0] < minCandidate[0]:
minCandidate = candidate
ox, oy = minCandidate[1]
return ox, oy
class Figure(Artist):
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
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 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):
"""
Set the figure size in inches
Usage: set_figsize_inches(self, w,h) OR
set_figsize_inches(self, (w,h) )
ACCEPTS: a w,h tuple with w,h in inches
"""
if len(args)==1:
w,h = args[0]
else:
w,h = args
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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 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 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 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"polar" which sets whether to create a polar axes
add_axes((l,b,w,h))
add_axes((l,b,w,h), frameon=False, axisbg='g')
add_axes((l,b,w,h), polar=True)
add_axes(ax) # add an Axes instance
If the figure already has an axed with key *args, *kwargs then it
will simply make that axes current and return it
The Axes instance will be returned
"""
if iterable(args[0]):
key = tuple(args[0]), tuple(kwargs.items())
else:
key = args[0], tuple(kwargs.items())
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]
a.set_figure(self)
else:
rect = args[0]
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
key = args, tuple(kwargs.items())
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Subplot) or isinstance(args, PolarSubplot):
a = args[0]
a.set_figure(self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD 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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images)>1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError('Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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,
The legend instance is returned
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels'
w = self.bbox.width()
h = self.bbox.height()
return w, h
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
class Figure(Artist):
def __str__(self):
return "Figure(%gx%g)" % (self.figwidth.get(), self.figheight.get())
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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
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:
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
self.figwidth.set(w)
self.figheight.set(h)
if forward:
dpival = self.dpi.get()
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.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.figheight.set(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 "polar" which sets whether to create a polar axes
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
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:
%(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)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(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"polar" which sets whether to create a
polar 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:
%(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], Subplot) or isinstance(args[0], PolarSubplot):
a = args[0]
assert (a.get_figure() is self)
else:
ispolar = kwargs.pop('polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(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')
self.transFigure.freeze() # eval the lazy objects
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.get_bounds()
renderer.draw_image(l, b, im, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
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._set_artist_props(l)
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.Subplot):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(
ax._sharex, matplotlib.axes.Subplot):
ax._sharex.update_params()
ax.set_position([
ax._sharex.figLeft, ax._sharex.figBottom,
ax._sharex.figW, ax._sharex.figH
])
elif ax._sharey is not None and isinstance(
ax._sharey, matplotlib.axes.Subplot):
ax._sharey.update_params()
ax.set_position([
ax._sharey.figLeft, ax._sharey.figBottom,
ax._sharey.figW, ax._sharey.figH
])
else:
ax.update_params()
ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
class Figure(Artist):
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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
self.clf()
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):
"""
Set the figure size in inches
Usage: set_figsize_inches(self, w,h) OR
set_figsize_inches(self, (w,h) )
ACCEPTS: a w,h tuple with w,h in inches
"""
if len(args) == 1:
w, h = args[0]
else:
w, h = args
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float"""
self.figheight.set(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 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"polar" which sets whether to create a polar axes
add_axes((l,b,w,h))
add_axes((l,b,w,h), frameon=False, axisbg='g')
add_axes((l,b,w,h), polar=True)
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 axes, make sure you give them
unique labels:
add_axes((l,b,w,h), label='1')
add_axes((l,b,w,h), label='2')
The Axes instance will be returned
"""
if iterable(args[0]):
key = tuple(args[0]), tuple(kwargs.items())
else:
key = args[0], tuple(kwargs.items())
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]
a.set_figure(self)
else:
rect = args[0]
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
key = args, tuple(kwargs.items())
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Subplot) or isinstance(args, PolarSubplot):
a = args[0]
a.set_figure(self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD 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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images) > 1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError(
'Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels'
w = self.bbox.width()
h = self.bbox.height()
return w, h
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 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=150, facecolor='w', edgecolor='w',
orientation='portrait'):
Save the current figure to filename fname. dpi is the resolution
in dots per inch.
Output file types currently supported are jpeg and png and will be
deduced by the extension to fname
facecolor and edgecolor are the colors os the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output."""
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,
tickfmt='%1.1f',
cax=None,
orientation='vertical'):
"""
Create a colorbar for mappable image
tickfmt is a format string to format the colorbar ticks
cax is a colorbar axes instance in which the colorbar will be
placed. If None, as default axesd will be created resizing the
current aqxes to make room for it. If not None, the supplied axes
will be used and the other axes positions will be unchanged.
orientation is the colorbar orientation: one of 'vertical' | 'horizontal'
return value is the colorbar axes instance
"""
if orientation not in ('horizontal', 'vertical'):
raise ValueError('Orientation must be horizontal or vertical')
if isinstance(mappable, FigureImage) and cax is None:
raise TypeError(
'Colorbars for figure images currently not supported unless you provide a colorbar axes in cax'
)
ax = self.gca()
cmap = mappable.cmap
norm = mappable.norm
if norm.vmin is None or norm.vmax is None:
mappable.autoscale()
cmin = norm.vmin
cmax = norm.vmax
if cax is None:
l, b, w, h = ax.get_position()
if orientation == 'vertical':
neww = 0.8 * w
ax.set_position((l, b, neww, h))
cax = self.add_axes([l + 0.9 * w, b, 0.1 * w, h])
else:
newh = 0.8 * h
ax.set_position((l, b + 0.2 * h, w, newh))
cax = self.add_axes([l, b, w, 0.1 * h])
else:
if not isinstance(cax, Axes):
raise TypeError('Expected an Axes instance for cax')
N = cmap.N
c = linspace(cmin, cmax, N)
C = array([c, c])
if orientation == 'vertical':
C = transpose(C)
if orientation == 'vertical':
extent = (0, 1, cmin, cmax)
else:
extent = (cmin, cmax, 0, 1)
coll = cax.imshow(C,
interpolation='nearest',
origin='lower',
cmap=cmap,
norm=norm,
extent=extent)
mappable.add_observer(coll)
mappable.set_colorbar(coll, cax)
if orientation == 'vertical':
cax.set_xticks([])
cax.yaxis.tick_right()
cax.yaxis.set_major_formatter(FormatStrFormatter(tickfmt))
else:
cax.set_yticks([])
cax.xaxis.set_major_formatter(FormatStrFormatter(tickfmt))
self.sca(ax)
return cax
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 __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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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.clf()
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 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, w, h):
'set the figure size in inches'
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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 set_edgecolor(self, color):
'Set the edge color of the Figure rectangle'
self.figurePatch.set_edgecolor(color)
def set_facecolor(self, color):
'Set the face color of the Figure rectangle'
self.figurePatch.set_facecolor(color)
def add_axis(self, *args, **kwargs):
raise SystemExit("""\
matplotlib changed its axes creation API in 0.54.
Please see http://matplotlib.sourceforge.net/API_CHANGES for
instructions on how to port your code.
""")
def add_axes(self, rect, axisbg=None, frameon=True, **kwargs):
"""
Add an a axes with axes rect [left, bottom, width, height]
where all quantities are in fractions of figure width and
height.
The Axes instance will be returned
"""
if axisbg is None: axisbg = rcParams['axes.facecolor']
ispolar = kwargs.get('polar', False)
if ispolar:
a = PolarAxes(self, rect, axisbg, frameon)
else:
a = Axes(self, rect, axisbg, frameon)
self.axes.append(a)
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot, eg
add_subplot(111) or add_subplot(212, axisbg='r')
The Axes instance will be returned
"""
ispolar = kwargs.get('polar', False)
dict_delall(kwargs, ('polar', ))
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
renderer.open_group('figure')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images) > 1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError(
'Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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,
The legend instance is returned
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels'
w = self.bbox.width()
h = self.bbox.height()
return w, h
def get_window_extent(self, renderer):
"Return the bounding box of the table in window coords"
boxes = [cell.get_window_extent(renderer) for cell in self._cells.values()]
return Bbox.union(boxes)
class Figure(Artist):
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.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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._unit_conversions = {}
self.dpi = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
self._cachedRenderer = None
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space'
return self.bbox
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def _get_unit_conversion(self, python_type):
"""
Get a unit conversion corresponding to a python type
"""
maps = [self._unit_conversions, Figure._default_unit_conversions]
for m in maps:
classes = [python_type]
for current in classes:
if (current in m):
# found it!
#print 'Found unit conversion for %s!' % (`python_type`)
return m[current]
return None
def register_unit_conversion(self, python_type, conversion):
"""
Register a unit conversion class
ACCEPTS: a Unit instance
"""
self._unit_conversions[python_type] = conversion
def unregister_unit_conversion(self, python_type):
"""
Unregister a unit conversion class
ACCEPTS: any Python type
"""
self._unit_conversions.remove(python_type)
def _register_default_unit_conversion(python_type, conversion):
"""
Register a unit conversion class
ACCEPTS: a Unit instance
"""
Figure._default_unit_conversions[python_type] = conversion
_default_unit_conversions = {}
register_default_unit_conversion = \
staticmethod(_register_default_unit_conversion)
def _unregister_default_unit_conversion(python_type):
"""
Unregister a unit conversion class
ACCEPTS: any Python type
"""
Figure._default_unit_conversions.remove(python_type)
unregister_default_unit_conversion = \
staticmethod(_unregister_default_unit_conversion)
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
self.figwidth.set(w)
self.figheight.set(h)
if forward:
dpival = self.dpi.get()
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.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.figheight.set(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 "polar" which sets whether to create a polar axes
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
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
"""
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 = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
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], Subplot) or isinstance(args[0], PolarSubplot):
a = args[0]
assert(a.get_figure() is self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images)>1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError('Composite images with different origins not supported')
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
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, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 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 'pdf', 'png', 'ps', 'svg'. It is used to specify the
output when fname is a file or file-like object - cairo
backend only.
"""
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, **kw):
# Temporary compatibility code:
old = ('tickfmt', 'cspacing', 'clabels', 'edgewidth', 'edgecolor')
oldkw = [k for k in old if kw.has_key(k)]
if oldkw:
msg = 'Old colorbar kwargs (%s) found; using colorbar_classic.' % (','.join(oldkw),)
warnings.warn(msg, DeprecationWarning)
self.colorbar_classic(mappable, cax, **kw)
return cax
# End of compatibility code block.
orientation = kw.get('orientation', 'vertical')
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 colorbar_classic(self, mappable, cax=None,
orientation='vertical', tickfmt='%1.1f',
cspacing='proportional',
clabels=None, drawedges=False, edgewidth=0.5,
edgecolor='k'):
"""
Create a colorbar for mappable image
mappable is the cm.ScalarMappable instance that you want the
colorbar to apply to, e.g. an Image as returned by imshow or a
PatchCollection as returned by scatter or pcolor.
tickfmt is a format string to format the colorbar ticks
cax is a colorbar axes instance in which the colorbar will be
placed. If None, as default axesd will be created resizing the
current aqxes to make room for it. If not None, the supplied axes
will be used and the other axes positions will be unchanged.
orientation is the colorbar orientation: one of 'vertical' | 'horizontal'
cspacing controls how colors are distributed on the colorbar.
if cspacing == 'linear', each color occupies an equal area
on the colorbar, regardless of the contour spacing.
if cspacing == 'proportional' (Default), the area each color
occupies on the the colorbar is proportional to the contour interval.
Only relevant for a Contour image.
clabels can be a sequence containing the
contour levels to be labelled on the colorbar, or None (Default).
If clabels is None, labels for all contour intervals are
displayed. Only relevant for a Contour image.
if drawedges == True, lines are drawn at the edges between
each color on the colorbar. Default False.
edgecolor is the line color delimiting the edges of the colors
on the colorbar (if drawedges == True). Default black ('k')
edgewidth is the width of the lines delimiting the edges of
the colors on the colorbar (if drawedges == True). Default 0.5
return value is the colorbar axes instance
"""
if orientation not in ('horizontal', 'vertical'):
raise ValueError('Orientation must be horizontal or vertical')
if isinstance(mappable, FigureImage) and cax is None:
raise TypeError('Colorbars for figure images currently not supported unless you provide a colorbar axes in cax')
ax = self.gca()
cmap = mappable.cmap
if cax is None:
l,b,w,h = ax.get_position()
if orientation=='vertical':
neww = 0.8*w
ax.set_position((l,b,neww,h), 'both')
cax = self.add_axes([l + 0.9*w, b, 0.1*w, h])
else:
newh = 0.8*h
ax.set_position((l,b+0.2*h,w,newh), 'both')
cax = self.add_axes([l, b, w, 0.1*h])
else:
if not isinstance(cax, Axes):
raise TypeError('Expected an Axes instance for cax')
norm = mappable.norm
if norm.vmin is None or norm.vmax is None:
mappable.autoscale()
cmin = norm.vmin
cmax = norm.vmax
if isinstance(mappable, ContourSet):
# mappable image is from contour or contourf
clevs = mappable.levels
clevs = minimum(clevs, cmax)
clevs = maximum(clevs, cmin)
isContourSet = True
elif isinstance(mappable, ScalarMappable):
# from imshow or pcolor.
isContourSet = False
clevs = linspace(cmin, cmax, cmap.N+1) # boundaries, hence N+1
else:
raise TypeError("don't know how to handle type %s"%type(mappable))
N = len(clevs)
C = array([clevs, clevs])
if cspacing == 'linear':
X, Y = meshgrid(clevs, [0, 1])
elif cspacing == 'proportional':
X, Y = meshgrid(linspace(cmin, cmax, N), [0, 1])
else:
raise ValueError("cspacing must be 'linear' or 'proportional'")
if orientation=='vertical':
args = (transpose(Y), transpose(C), transpose(X), clevs)
else:
args = (C, Y, X, clevs)
#If colors were listed in the original mappable, then
# let contour handle them the same way.
colors = getattr(mappable, 'colors', None)
if colors is not None:
kw = {'colors': colors}
else:
kw = {'cmap':cmap, 'norm':norm}
if isContourSet and not mappable.filled:
CS = cax.contour(*args, **kw)
colls = mappable.collections
for ii in range(len(colls)):
CS.collections[ii].set_linewidth(colls[ii].get_linewidth())
else:
kw['antialiased'] = False
CS = cax.contourf(*args, **kw)
if drawedges:
for col in CS.collections:
col.set_edgecolor(edgecolor)
col.set_linewidth(edgewidth)
mappable.add_observer(CS)
mappable.set_colorbar(CS, cax)
if isContourSet:
if cspacing == 'linear':
ticks = linspace(cmin, cmax, N)
else:
ticks = clevs
if cmin == mappable.levels[0]:
ticklevs = clevs
else: # We are not showing the full ends of the range.
ticks = ticks[1:-1]
ticklevs = clevs[1:-1]
labs = [tickfmt % lev for lev in ticklevs]
if clabels is not None:
for i, lev in enumerate(ticklevs):
if lev not in clabels:
labs[i] = ''
if orientation=='vertical':
cax.set_xticks([])
cax.yaxis.tick_right()
cax.yaxis.set_label_position('right')
if isContourSet:
cax.set_yticks(ticks)
cax.set_yticklabels(labs)
else:
cax.yaxis.set_major_formatter(FormatStrFormatter(tickfmt))
else:
cax.set_yticks([])
if isContourSet:
cax.set_xticks(ticks)
cax.set_xticklabels(labs)
else:
cax.xaxis.set_major_formatter(FormatStrFormatter(tickfmt))
self.sca(ax)
return cax
def subplots_adjust(self, *args, **kwargs):
"""
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.Subplot):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(ax._sharex, matplotlib.axes.Subplot):
ax._sharex.update_params()
ax.set_position([ax._sharex.figLeft, ax._sharex.figBottom, ax._sharex.figW, ax._sharex.figH])
elif ax._sharey is not None and isinstance(ax._sharey, matplotlib.axes.Subplot):
ax._sharey.update_params()
ax.set_position([ax._sharey.figLeft, ax._sharey.figBottom, ax._sharey.figW, ax._sharey.figH])
else:
ax.update_params()
ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
class Figure(Artist):
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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.clf()
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 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):
"""
Set the figure size in inches
Usage: set_figsize_inches(self, w,h) OR
set_figsize_inches(self, (w,h) )
ACCEPTS: a w,h tuple with w,h in inches
"""
if len(args) == 1:
w, h = args[0]
else:
w, h = args
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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 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 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 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"polar" which sets whether to create a polar axes
add_axes((l,b,w,h))
add_axes((l,b,w,h), frameon=False, axisbg='g')
add_axes((l,b,w,h), polar=True)
add_axes(ax) # add an Axes instance
If the figure already has an axed with key *args, *kwargs then it
will simply make that axes current and return it
The Axes instance will be returned
"""
if iterable(args[0]):
key = tuple(args[0]), tuple(kwargs.items())
else:
key = args[0], tuple(kwargs.items())
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]
a.set_figure(self)
else:
rect = args[0]
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
key = args, tuple(kwargs.items())
if self._seen.has_key(key):
ax = self._seen[key]
self.sca(ax)
return ax
if not len(args): return
if isinstance(args[0], Subplot) or isinstance(args, PolarSubplot):
a = args[0]
a.set_figure(self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD 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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images) > 1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError(
'Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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,
The legend instance is returned
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels'
w = self.bbox.width()
h = self.bbox.height()
return w, h
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def _get_layout(self, renderer):
key = self.get_prop_tup()
if self.cached.has_key(key): return self.cached[key]
horizLayout = []
thisx, thisy = 0.0, 0.0
xmin, ymin = 0.0, 0.0
width, height = 0.0, 0.0
lines = self._text.split('\n')
whs = np.zeros((len(lines), 2))
horizLayout = np.zeros((len(lines), 4))
# Find full vertical extent of font,
# including ascenders and descenders:
tmp, heightt, bl = renderer.get_text_width_height_descent(
'lp', self._fontproperties, ismath=False)
offsety = heightt * self._linespacing
baseline = None
for i, line in enumerate(lines):
w, h, d = renderer.get_text_width_height_descent(
line, self._fontproperties, ismath=self.is_math_text(line))
if baseline is None:
baseline = h - d
whs[i] = w, h
horizLayout[i] = thisx, thisy, w, h
thisy -= offsety
width = max(width, w)
ymin = horizLayout[-1][1]
ymax = horizLayout[0][1] + horizLayout[0][3]
height = ymax - ymin
xmax = xmin + width
# get the rotation matrix
M = Affine2D().rotate_deg(self.get_rotation())
offsetLayout = np.zeros((len(lines), 2))
offsetLayout[:] = horizLayout[:, 0:2]
# now offset the individual text lines within the box
if len(lines) > 1: # do the multiline aligment
malign = self._get_multialignment()
if malign == 'center':
offsetLayout[:, 0] += width / 2.0 - horizLayout[:, 2] / 2.0
elif malign == 'right':
offsetLayout[:, 0] += width - horizLayout[:, 2]
# the corners of the unrotated bounding box
cornersHoriz = np.array([(xmin, ymin), (xmin, ymax), (xmax, ymax),
(xmax, ymin)], np.float_)
# now rotate the bbox
cornersRotated = M.transform(cornersHoriz)
txs = cornersRotated[:, 0]
tys = cornersRotated[:, 1]
# compute the bounds of the rotated box
xmin, xmax = txs.min(), txs.max()
ymin, ymax = tys.min(), tys.max()
width = xmax - xmin
height = ymax - ymin
# Now move the box to the targe position offset the display bbox by alignment
halign = self._horizontalalignment
valign = self._verticalalignment
# compute the text location in display coords and the offsets
# necessary to align the bbox with that location
if halign == 'center': offsetx = (xmin + width / 2.0)
elif halign == 'right': offsetx = (xmin + width)
else: offsetx = xmin
if valign == 'center': offsety = (ymin + height / 2.0)
elif valign == 'top': offsety = (ymin + height)
elif valign == 'baseline': offsety = (ymin + height) + baseline
else: offsety = ymin
xmin -= offsetx
ymin -= offsety
bbox = Bbox.from_bounds(xmin, ymin, width, height)
# now rotate the positions around the first x,y position
xys = M.transform(offsetLayout)
xys -= (offsetx, offsety)
xs, ys = xys[:, 0], xys[:, 1]
ret = bbox, zip(lines, whs, xs, ys)
self.cached[key] = ret
return ret
class Figure(Artist):
def __str__(self):
return "Figure(%gx%g)"%(self.figwidth.get(),self.figheight.get())
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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
def autofmt_xdate(self, bottom=0.2, rotation=30, ha='right'):
"""
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. This function will raise a
RuntimeError if any of the Axes are not Subplots.
bottom : the bottom of the subplots for subplots_adjust
rotation: the rotation of the xtick labels
ha : the horizontal alignment of the xticklabels
"""
for ax in self.get_axes():
if not hasattr(ax, 'is_last_row'):
raise RuntimeError('Axes must be subplot instances; found %s'%type(ax))
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)
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
self.figwidth.set(w)
self.figheight.set(h)
if forward:
dpival = self.dpi.get()
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.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.figheight.set(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 "polar" which sets whether to create a polar axes
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
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:
%(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)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(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(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"polar" which sets whether to create a
polar 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:
%(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], Subplot) or isinstance(args[0], PolarSubplot):
a = args[0]
assert(a.get_figure() is self)
else:
ispolar = kwargs.pop('polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(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')
self.transFigure.freeze() # eval the lazy objects
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.get_bounds()
renderer.draw_image(l, b, im, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
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._set_artist_props(l)
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.Subplot):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(ax._sharex, matplotlib.axes.Subplot):
ax._sharex.update_params()
ax.set_position([ax._sharex.figLeft, ax._sharex.figBottom, ax._sharex.figW, ax._sharex.figH])
elif ax._sharey is not None and isinstance(ax._sharey, matplotlib.axes.Subplot):
ax._sharey.update_params()
ax.set_position([ax._sharey.figLeft, ax._sharey.figBottom, ax._sharey.figW, ax._sharey.figH])
else:
ax.update_params()
ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
def get_path_collection_extents(*args):
from transforms import Bbox
if len(args[1]) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(*args))
class Figure(Artist):
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,
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
"""
Artist.__init__(self)
#self.set_figure(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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
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 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, w, h):
'set the figure size in inches'
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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 set_edgecolor(self, color):
'Set the edge color of the Figure rectangle'
self.figurePatch.set_edgecolor(color)
def set_facecolor(self, color):
'Set the face color of the Figure rectangle'
self.figurePatch.set_facecolor(color)
def add_axis(self, *args, **kwargs):
raise SystemExit("""\
matplotlib changed its axes creation API in 0.54.
Please see http://matplotlib.sourceforge.net/API_CHANGES for
instructions on how to port your code.
""")
def add_axes(self, rect, axisbg=None, frameon=True, **kwargs):
"""
Add an a axes with axes rect [left, bottom, width, height]
where all quantities are in fractions of figure width and
height.
The Axes instance will be returned
"""
if axisbg is None: axisbg=rcParams['axes.facecolor']
ispolar = kwargs.get('polar', False)
if ispolar:
a = PolarAxes(self, rect, axisbg, frameon)
else:
a = Axes(self, rect, axisbg, frameon)
self.axes.append(a)
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot, eg
add_subplot(111) or add_subplot(212, axisbg='r')
The Axes instance will be returned
"""
ispolar = kwargs.get('polar', False)
dict_delall(kwargs, ('polar', ) )
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD instance renderer
"""
# draw the figure bounding box, perhaps none for white figure
renderer.open_group('figure')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images)>1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError('Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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,
The legend instance is returned
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels'
w = self.bbox.width()
h = self.bbox.height()
return w, h
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_layout(self, renderer):
key = self.get_prop_tup()
if self.cached.has_key(key): return self.cached[key]
horizLayout = []
thisx, thisy = 0.0, 0.0
xmin, ymin = 0.0, 0.0
width, height = 0.0, 0.0
lines = self._text.split('\n')
whs = npy.zeros((len(lines), 2))
horizLayout = npy.zeros((len(lines), 4))
# Find full vertical extent of font,
# including ascenders and descenders:
tmp, heightt, bl = renderer.get_text_width_height_descent(
'lp', self._fontproperties, ismath=False)
offsety = heightt * self._linespacing
baseline = None
for i, line in enumerate(lines):
w, h, d = renderer.get_text_width_height_descent(
line, self._fontproperties, ismath=self.is_math_text(line))
if baseline is None:
baseline = h - d
whs[i] = w, h
horizLayout[i] = thisx, thisy, w, h
thisy -= offsety
width = max(width, w)
ymin = horizLayout[-1][1]
ymax = horizLayout[0][1] + horizLayout[0][3]
height = ymax-ymin
xmax = xmin + width
# get the rotation matrix
M = Affine2D().rotate_deg(self.get_rotation())
offsetLayout = npy.zeros((len(lines), 2))
offsetLayout[:] = horizLayout[:, 0:2]
# now offset the individual text lines within the box
if len(lines)>1: # do the multiline aligment
malign = self._get_multialignment()
if malign == 'center':
offsetLayout[:, 0] += width/2.0 - horizLayout[:, 2] / 2.0
elif malign == 'right':
offsetLayout[:, 0] += width - horizLayout[:, 2]
# the corners of the unrotated bounding box
cornersHoriz = npy.array(
[(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)],
npy.float_)
# now rotate the bbox
cornersRotated = M.transform(cornersHoriz)
txs = cornersRotated[:, 0]
tys = cornersRotated[:, 1]
# compute the bounds of the rotated box
xmin, xmax = txs.min(), txs.max()
ymin, ymax = tys.min(), tys.max()
width = xmax - xmin
height = ymax - ymin
# Now move the box to the targe position offset the display bbox by alignment
halign = self._horizontalalignment
valign = self._verticalalignment
# compute the text location in display coords and the offsets
# necessary to align the bbox with that location
if halign=='center': offsetx = (xmin + width/2.0)
elif halign=='right': offsetx = (xmin + width)
else: offsetx = xmin
if valign=='center': offsety = (ymin + height/2.0)
elif valign=='top': offsety = (ymin + height)
elif valign=='baseline': offsety = (ymin + height) + baseline
else: offsety = ymin
xmin -= offsetx
ymin -= offsety
bbox = Bbox.from_bounds(xmin, ymin, width, height)
# now rotate the positions around the first x,y position
xys = M.transform(offsetLayout)
xys -= (offsetx, offsety)
xs, ys = xys[:, 0], xys[:, 1]
ret = bbox, zip(lines, whs, xs, ys)
self.cached[key] = ret
return ret
def get_path_collection_extents(*args):
from transforms import Bbox
if len(args[1]) == 0:
raise ValueError("No paths provided")
return Bbox.from_extents(*_get_path_collection_extents(*args))
class Figure(Artist):
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.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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._unit_conversions = {}
self.dpi = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point(Value(0), Value(0))
self.ur = Point(self.figwidth * self.dpi, self.figheight * self.dpi)
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform(unit_bbox(), 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.clf()
self._cachedRenderer = None
def get_window_extent(self, *args, **kwargs):
'get the figure bounding box in display space'
return self.bbox
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
def _get_unit_conversion(self, python_type):
"""
Get a unit conversion corresponding to a python type
"""
maps = [self._unit_conversions, Figure._default_unit_conversions]
for m in maps:
classes = [python_type]
for current in classes:
if (current in m):
# found it!
#print 'Found unit conversion for %s!' % (`python_type`)
return m[current]
return None
def register_unit_conversion(self, python_type, conversion):
"""
Register a unit conversion class
ACCEPTS: a Unit instance
"""
self._unit_conversions[python_type] = conversion
def unregister_unit_conversion(self, python_type):
"""
Unregister a unit conversion class
ACCEPTS: any Python type
"""
self._unit_conversions.remove(python_type)
def _register_default_unit_conversion(python_type, conversion):
"""
Register a unit conversion class
ACCEPTS: a Unit instance
"""
Figure._default_unit_conversions[python_type] = conversion
_default_unit_conversions = {}
register_default_unit_conversion = \
staticmethod(_register_default_unit_conversion)
def _unregister_default_unit_conversion(python_type):
"""
Unregister a unit conversion class
ACCEPTS: any Python type
"""
Figure._default_unit_conversions.remove(python_type)
unregister_default_unit_conversion = \
staticmethod(_unregister_default_unit_conversion)
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
self.figwidth.set(w)
self.figheight.set(h)
if forward:
dpival = self.dpi.get()
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.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float
"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float
"""
self.figheight.set(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 "polar" which sets whether to create a polar axes
rect = l,b,w,h
add_axes(rect)
add_axes(rect, frameon=False, axisbg='g')
add_axes(rect, polar=True)
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
"""
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 = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
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], Subplot) or isinstance(args[0], PolarSubplot):
a = args[0]
assert (a.get_figure() is self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts = []
self.images = []
self.legends = []
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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images) > 1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError(
'Composite images with different origins not supported')
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
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, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 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 'pdf', 'png', 'ps', 'svg'. It is used to specify the
output when fname is a file or file-like object - cairo
backend only.
"""
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, **kw):
# Temporary compatibility code:
old = ('tickfmt', 'cspacing', 'clabels', 'edgewidth', 'edgecolor')
oldkw = [k for k in old if kw.has_key(k)]
if oldkw:
msg = 'Old colorbar kwargs (%s) found; using colorbar_classic.' % (
','.join(oldkw), )
warnings.warn(msg, DeprecationWarning)
self.colorbar_classic(mappable, cax, **kw)
return cax
# End of compatibility code block.
orientation = kw.get('orientation', 'vertical')
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 colorbar_classic(self,
mappable,
cax=None,
orientation='vertical',
tickfmt='%1.1f',
cspacing='proportional',
clabels=None,
drawedges=False,
edgewidth=0.5,
edgecolor='k'):
"""
Create a colorbar for mappable image
mappable is the cm.ScalarMappable instance that you want the
colorbar to apply to, e.g. an Image as returned by imshow or a
PatchCollection as returned by scatter or pcolor.
tickfmt is a format string to format the colorbar ticks
cax is a colorbar axes instance in which the colorbar will be
placed. If None, as default axesd will be created resizing the
current aqxes to make room for it. If not None, the supplied axes
will be used and the other axes positions will be unchanged.
orientation is the colorbar orientation: one of 'vertical' | 'horizontal'
cspacing controls how colors are distributed on the colorbar.
if cspacing == 'linear', each color occupies an equal area
on the colorbar, regardless of the contour spacing.
if cspacing == 'proportional' (Default), the area each color
occupies on the the colorbar is proportional to the contour interval.
Only relevant for a Contour image.
clabels can be a sequence containing the
contour levels to be labelled on the colorbar, or None (Default).
If clabels is None, labels for all contour intervals are
displayed. Only relevant for a Contour image.
if drawedges == True, lines are drawn at the edges between
each color on the colorbar. Default False.
edgecolor is the line color delimiting the edges of the colors
on the colorbar (if drawedges == True). Default black ('k')
edgewidth is the width of the lines delimiting the edges of
the colors on the colorbar (if drawedges == True). Default 0.5
return value is the colorbar axes instance
"""
if orientation not in ('horizontal', 'vertical'):
raise ValueError('Orientation must be horizontal or vertical')
if isinstance(mappable, FigureImage) and cax is None:
raise TypeError(
'Colorbars for figure images currently not supported unless you provide a colorbar axes in cax'
)
ax = self.gca()
cmap = mappable.cmap
if cax is None:
l, b, w, h = ax.get_position()
if orientation == 'vertical':
neww = 0.8 * w
ax.set_position((l, b, neww, h), 'both')
cax = self.add_axes([l + 0.9 * w, b, 0.1 * w, h])
else:
newh = 0.8 * h
ax.set_position((l, b + 0.2 * h, w, newh), 'both')
cax = self.add_axes([l, b, w, 0.1 * h])
else:
if not isinstance(cax, Axes):
raise TypeError('Expected an Axes instance for cax')
norm = mappable.norm
if norm.vmin is None or norm.vmax is None:
mappable.autoscale()
cmin = norm.vmin
cmax = norm.vmax
if isinstance(mappable, ContourSet):
# mappable image is from contour or contourf
clevs = mappable.levels
clevs = minimum(clevs, cmax)
clevs = maximum(clevs, cmin)
isContourSet = True
elif isinstance(mappable, ScalarMappable):
# from imshow or pcolor.
isContourSet = False
clevs = linspace(cmin, cmax, cmap.N + 1) # boundaries, hence N+1
else:
raise TypeError("don't know how to handle type %s" %
type(mappable))
N = len(clevs)
C = array([clevs, clevs])
if cspacing == 'linear':
X, Y = meshgrid(clevs, [0, 1])
elif cspacing == 'proportional':
X, Y = meshgrid(linspace(cmin, cmax, N), [0, 1])
else:
raise ValueError("cspacing must be 'linear' or 'proportional'")
if orientation == 'vertical':
args = (transpose(Y), transpose(C), transpose(X), clevs)
else:
args = (C, Y, X, clevs)
#If colors were listed in the original mappable, then
# let contour handle them the same way.
colors = getattr(mappable, 'colors', None)
if colors is not None:
kw = {'colors': colors}
else:
kw = {'cmap': cmap, 'norm': norm}
if isContourSet and not mappable.filled:
CS = cax.contour(*args, **kw)
colls = mappable.collections
for ii in range(len(colls)):
CS.collections[ii].set_linewidth(colls[ii].get_linewidth())
else:
kw['antialiased'] = False
CS = cax.contourf(*args, **kw)
if drawedges:
for col in CS.collections:
col.set_edgecolor(edgecolor)
col.set_linewidth(edgewidth)
mappable.add_observer(CS)
mappable.set_colorbar(CS, cax)
if isContourSet:
if cspacing == 'linear':
ticks = linspace(cmin, cmax, N)
else:
ticks = clevs
if cmin == mappable.levels[0]:
ticklevs = clevs
else: # We are not showing the full ends of the range.
ticks = ticks[1:-1]
ticklevs = clevs[1:-1]
labs = [tickfmt % lev for lev in ticklevs]
if clabels is not None:
for i, lev in enumerate(ticklevs):
if lev not in clabels:
labs[i] = ''
if orientation == 'vertical':
cax.set_xticks([])
cax.yaxis.tick_right()
cax.yaxis.set_label_position('right')
if isContourSet:
cax.set_yticks(ticks)
cax.set_yticklabels(labs)
else:
cax.yaxis.set_major_formatter(FormatStrFormatter(tickfmt))
else:
cax.set_yticks([])
if isContourSet:
cax.set_xticks(ticks)
cax.set_xticklabels(labs)
else:
cax.xaxis.set_major_formatter(FormatStrFormatter(tickfmt))
self.sca(ax)
return cax
def subplots_adjust(self, *args, **kwargs):
"""
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.Subplot):
# Check if sharing a subplots axis
if ax._sharex is not None and isinstance(
ax._sharex, matplotlib.axes.Subplot):
ax._sharex.update_params()
ax.set_position([
ax._sharex.figLeft, ax._sharex.figBottom,
ax._sharex.figW, ax._sharex.figH
])
elif ax._sharey is not None and isinstance(
ax._sharey, matplotlib.axes.Subplot):
ax._sharey.update_params()
ax.set_position([
ax._sharey.figLeft, ax._sharey.figBottom,
ax._sharey.figW, ax._sharey.figH
])
else:
ax.update_params()
ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
class Figure(Artist):
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,
subplotpars = None, # default to rc
):
"""
paper size is a w,h tuple in inches
DPI is dots per inch
subplotpars is a SubplotParams instance, defaults to rc
"""
Artist.__init__(self)
#self.set_figure(self)
self._axstack = Stack() # maintain the current axes
self._axobservers = []
self._seen = {} # axes args we've seen
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 = Value(dpi)
self.figwidth = Value(figsize[0])
self.figheight = Value(figsize[1])
self.ll = Point( Value(0), Value(0) )
self.ur = Point( self.figwidth*self.dpi,
self.figheight*self.dpi )
self.bbox = Bbox(self.ll, self.ur)
self.frameon = frameon
self.transFigure = get_bbox_transform( unit_bbox(), 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.clf()
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):
"""
Set the figure size in inches
Usage: set_figsize_inches(self, w,h) OR
set_figsize_inches(self, (w,h) )
ACCEPTS: a w,h tuple with w,h in inches
"""
if len(args)==1:
w,h = args[0]
else:
w,h = args
self.figwidth.set(w)
self.figheight.set(h)
def get_size_inches(self):
return self.figwidth.get(), self.figheight.get()
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.figwidth.get()
def get_figheight(self):
'Return the figheight as a float'
return self.figheight.get()
def get_dpi(self):
'Return the dpi as a float'
return self.dpi.get()
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.set(val)
def set_figwidth(self, val):
"""
Set the width of the figure in inches
ACCEPTS: float"""
self.figwidth.set(val)
def set_figheight(self, val):
"""
Set the height of the figure in inches
ACCEPTS: float"""
self.figheight.set(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 kyey
ret = []
for k, v in items:
if iterable(v): v = tuple(v)
ret.append((k,v))
return ret
if iterable(args[0]):
key = tuple(args[0]), tuple( fixitems(kwargs.items()))
else:
key = args[0], tuple(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"polar" which sets whether to create a polar axes
add_axes((l,b,w,h))
add_axes((l,b,w,h), frameon=False, axisbg='g')
add_axes((l,b,w,h), polar=True)
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 axes, make sure you give them
unique labels:
add_axes((l,b,w,h), label='1')
add_axes((l,b,w,h), label='2')
The Axes instance will be returned
"""
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]
a.set_figure(self)
else:
rect = args[0]
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarAxes(self, rect, **kwargs)
else:
a = Axes(self, rect, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def add_subplot(self, *args, **kwargs):
"""
Add an a subplot. Examples
add_subplot(111)
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"polar" which sets whether to create a
polar 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
"""
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], Subplot) or isinstance(args, PolarSubplot):
a = args[0]
a.set_figure(self)
else:
ispolar = popd(kwargs, 'polar', False)
if ispolar:
a = PolarSubplot(self, *args, **kwargs)
else:
a = Subplot(self, *args, **kwargs)
self.axes.append(a)
self._axstack.push(a)
self.sca(a)
self._seen[key] = a
return a
def clf(self):
"""
Clear the figure
"""
self.axes = []
self._axstack.clear()
self._seen = {}
self.lines = []
self.patches = []
self.texts=[]
self.images = []
self.legends = []
def clear(self):
"""
Clear the figure
"""
self.clf()
def draw(self, renderer):
"""
Render the figure using RendererGD 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')
self.transFigure.freeze() # eval the lazy objects
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:
im = self.images[0]
im.draw(renderer)
elif len(self.images)>1:
# make a composite image blending alpha
# list of (_image.Image, ox, oy)
if not allequal([im.origin for im in self.images]):
raise ValueError('Composite images with different origins not supported')
else:
origin = self.images[0].origin
ims = [(im.make_image(), im.ox, im.oy) for im in self.images]
im = _image.from_images(self.bbox.height(), self.bbox.width(), ims)
im.is_grayscale = False
l, b, w, h = self.bbox.get_bounds()
renderer.draw_image(0, 0, im, origin, self.bbox)
# 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)
self.transFigure.thaw() # release the lazy objects
renderer.close_group('figure')
def get_axes(self):
return self.axes
def legend(self, handles, labels, loc, **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, defaults to upper right)
'upper right' : 1, (default)
'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
"""
handles = flatten(handles)
l = Legend(self, handles, labels, loc, isaxes=False, **kwargs)
self._set_artist_props(l)
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
"""
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)
def get_width_height(self):
'return the figure width and height in pixels (as floats)'
return self.bbox.width(), self.bbox.height()
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: 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 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=150, facecolor='w', edgecolor='w',
orientation='portrait'):
Save the current figure to filename fname. dpi is the resolution
in dots per inch.
Output file types currently supported are jpeg and png and will be
deduced by the extension to fname
facecolor and edgecolor are the colors os the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output."""
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, tickfmt='%1.1f', cax=None, orientation='vertical'):
"""
Create a colorbar for mappable image
tickfmt is a format string to format the colorbar ticks
cax is a colorbar axes instance in which the colorbar will be
placed. If None, as default axesd will be created resizing the
current aqxes to make room for it. If not None, the supplied axes
will be used and the other axes positions will be unchanged.
orientation is the colorbar orientation: one of 'vertical' | 'horizontal'
return value is the colorbar axes instance
"""
if orientation not in ('horizontal', 'vertical'):
raise ValueError('Orientation must be horizontal or vertical')
if isinstance(mappable, FigureImage) and cax is None:
raise TypeError('Colorbars for figure images currently not supported unless you provide a colorbar axes in cax')
ax = self.gca()
cmap = mappable.cmap
norm = mappable.norm
if norm.vmin is None or norm.vmax is None:
mappable.autoscale()
cmin = norm.vmin
cmax = norm.vmax
if cax is None:
l,b,w,h = ax.get_position()
if orientation=='vertical':
neww = 0.8*w
ax.set_position((l,b,neww,h))
cax = self.add_axes([l + 0.9*w, b, 0.1*w, h])
else:
newh = 0.8*h
ax.set_position((l,b+0.2*h,w,newh))
cax = self.add_axes([l, b, w, 0.1*h])
else:
if not isinstance(cax, Axes):
raise TypeError('Expected an Axes instance for cax')
N = cmap.N
c = linspace(cmin, cmax, N)
C = array([c,c])
if orientation=='vertical':
C = transpose(C)
if orientation=='vertical':
extent=(0, 1, cmin, cmax)
else:
extent=(cmin, cmax, 0, 1)
coll = cax.imshow(C,
interpolation='nearest',
#interpolation='bilinear',
origin='lower',
cmap=cmap, norm=norm,
extent=extent)
mappable.add_observer(coll)
mappable.set_colorbar(coll, cax)
if orientation=='vertical':
cax.set_xticks([])
cax.yaxis.tick_right()
cax.yaxis.set_major_formatter(FormatStrFormatter(tickfmt))
else:
cax.set_yticks([])
cax.xaxis.set_major_formatter(FormatStrFormatter(tickfmt))
self.sca(ax)
return cax
def subplots_adjust(self, *args, **kwargs):
"""
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.Subplot): continue
ax.update_params()
ax.set_position([ax.figLeft, ax.figBottom, ax.figW, ax.figH])
def get_window_extent(self, renderer):
'Return the bounding box of the table in window coords'
boxes = [c.get_window_extent(renderer) for c in self._cells]
return Bbox.union(boxes)