| | |
- matplotlib.artist.Artist(__builtin__.object)
-
- Collection(matplotlib.artist.Artist, matplotlib.cm.ScalarMappable)
-
- CircleCollection
- LineCollection
- PatchCollection
- PolyCollection
-
- BrokenBarHCollection
- QuadMesh
- RegularPolyCollection
-
- AsteriskPolygonCollection
- StarPolygonCollection
- matplotlib.cm.ScalarMappable
-
- Collection(matplotlib.artist.Artist, matplotlib.cm.ScalarMappable)
-
- CircleCollection
- LineCollection
- PatchCollection
- PolyCollection
-
- BrokenBarHCollection
- QuadMesh
- RegularPolyCollection
-
- AsteriskPolygonCollection
- StarPolygonCollection
class AsteriskPolygonCollection(RegularPolyCollection) |
| |
Draw a collection of regular asterisks with *numsides* points.
|
| |
- Method resolution order:
- AsteriskPolygonCollection
- RegularPolyCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods inherited from RegularPolyCollection:
- __init__(self, numsides, rotation=0, sizes=(1,), **kwargs)
- *numsides*
the number of sides of the polygon
*rotation*
the rotation of the polygon in radians
*sizes*
gives the area of the circle circumscribing the
regular polygon in points^2
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
Example: see :file:`examples/dynamic_collection.py` for
complete example::
offsets = np.random.rand(20,2)
facecolors = [cm.jet(x) for x in np.random.rand(20)]
black = (0,0,0,1)
collection = RegularPolyCollection(
numsides=5, # a pentagon
rotation=0, sizes=(50,),
facecolors = facecolors,
edgecolors = (black,),
linewidths = (1,),
offsets = offsets,
transOffset = ax.transData,
)
- draw(self, renderer)
- get_paths(self)
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class BrokenBarHCollection(PolyCollection) |
| |
A collection of horizontal bars spanning *yrange* with a sequence of
*xranges*.
|
| |
- Method resolution order:
- BrokenBarHCollection
- PolyCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, xranges, yrange, **kwargs)
- *xranges*
sequence of (*xmin*, *xwidth*)
*yrange*
*ymin*, *ywidth*
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
Methods inherited from PolyCollection:
- draw(self, renderer)
- get_paths(self)
- set_verts(self, verts, closed=True)
- This allows one to delay initialization of the vertices.
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class CircleCollection(Collection) |
| |
A collection of circles, drawn using splines.
|
| |
- Method resolution order:
- CircleCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, sizes)
- *sizes*
Gives the area of the circle in points^2
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
- draw(self, renderer)
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_paths(self)
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class Collection(matplotlib.artist.Artist, matplotlib.cm.ScalarMappable) |
| |
Base class for Collections. Must be subclassed to be usable.
All properties in a collection must be sequences or scalars;
if scalars, they will be converted to sequences. The
property of the ith element of the collection is::
prop[i % len(props)]
Keyword arguments and default values:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets).
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
The use of :class:`~matplotlib.cm.ScalarMappable` is optional. If
the :class:`~matplotlib.cm.ScalarMappable` matrix _A is not None
(ie a call to set_array has been made), at draw time a call to
scalar mappable will be made to set the face colors.
|
| |
- Method resolution order:
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, edgecolors=None, facecolors=None, linewidths=None, linestyles='solid', antialiaseds=None, offsets=None, transOffset=None, norm=None, cmap=None, pickradius=5.0, **kwargs)
- Create a Collection
%(Collection)s
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- draw(self, renderer)
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_paths(self)
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- set_linestyle = set_linestyles(self, ls)
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes defined here:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class LineCollection(Collection) |
| |
All parameters must be sequences or scalars; if scalars, they will
be converted to sequences. The property of the ith line
segment is::
prop[i % len(props)]
i.e., the properties cycle if the ``len`` of props is less than the
number of segments.
|
| |
- Method resolution order:
- LineCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, segments, linewidths=None, colors=None, antialiaseds=None, linestyles='solid', offsets=None, transOffset=None, norm=None, cmap=None, pickradius=5, **kwargs)
- *segments*
a sequence of (*line0*, *line1*, *line2*), where::
linen = (x0, y0), (x1, y1), ... (xm, ym)
or the equivalent numpy array with two columns. Each line
can be a different length.
*colors*
must be a sequence of RGBA tuples (eg arbitrary color
strings, etc, not allowed).
*antialiaseds*
must be a sequence of ones or zeros
*linestyles* [ 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
a string or dash tuple. The dash tuple is::
(offset, onoffseq),
where *onoffseq* is an even length tuple of on and off ink
in points.
If *linewidths*, *colors*, or *antialiaseds* is None, they
default to their rcParams setting, in sequence form.
If *offsets* and *transOffset* are not None, then
*offsets* are transformed by *transOffset* and applied after
the segments have been transformed to display coordinates.
If *offsets* is not None but *transOffset* is None, then the
*offsets* are added to the segments before any transformation.
In this case, a single offset can be specified as::
offsets=(xo,yo)
and this value will be added cumulatively to each successive
segment, so as to produce a set of successively offset curves.
*norm*
None (optional for :class:`matplotlib.cm.ScalarMappable`)
*cmap*
None (optional for :class:`matplotlib.cm.ScalarMappable`)
*pickradius* is the tolerance for mouse clicks picking a line.
The default is 5 pt.
The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
If the :class:`~matplotlib.cm.ScalarMappable` matrix
:attr:`~matplotlib.cm.ScalarMappable._A` is not None (ie a call to
:meth:`~matplotlib.cm.ScalarMappable.set_array` has been made), at
draw time a call to scalar mappable will be made to set the colors.
- color(self, c)
- Set the color(s) of the line collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- get_color(self)
- get_colors = get_color(self)
- get_paths(self)
- set_color(self, c)
- Set the color(s) of the line collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_segments(self, segments)
- set_verts = set_segments(self, segments)
Data and other attributes defined here:
- zorder = 2
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- draw(self, renderer)
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class PatchCollection(Collection) |
| |
A generic collection of patches.
This makes it easier to assign a color map to a heterogeneous
collection of patches.
This also may improve plotting speed, since PatchCollection will
draw faster than a large number of patches.
|
| |
- Method resolution order:
- PatchCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, patches, match_original=False, **kwargs)
- *patches*
a sequence of Patch objects. This list may include
a heterogeneous assortment of different patch types.
*match_original*
If True, use the colors and linewidths of the original
patches. If False, new colors may be assigned by
providing the standard collection arguments, facecolor,
edgecolor, linewidths, norm or cmap.
If any of *edgecolors*, *facecolors*, *linewidths*,
*antialiaseds* are None, they default to their
:data:`matplotlib.rcParams` patch setting, in sequence form.
The use of :class:`~matplotlib.cm.ScalarMappable` is optional.
If the :class:`~matplotlib.cm.ScalarMappable` matrix _A is not
None (ie a call to set_array has been made), at draw time a
call to scalar mappable will be made to set the face colors.
- get_paths(self)
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- draw(self, renderer)
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class PolyCollection(Collection) |
| | |
- Method resolution order:
- PolyCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, verts, sizes=None, closed=True, **kwargs)
- *verts* is a sequence of ( *verts0*, *verts1*, ...) where
*verts_i* is a sequence of *xy* tuples of vertices, or an
equivalent :mod:`numpy` array of shape (*nv*, 2).
*sizes* is *None* (default) or a sequence of floats that
scale the corresponding *verts_i*. The scaling is applied
before the Artist master transform; if the latter is an identity
transform, then the overall scaling is such that if
*verts_i* specify a unit square, then *sizes_i* is the area
of that square in points^2.
If len(*sizes*) < *nv*, the additional values will be
taken cyclically from the array.
*closed*, when *True*, will explicitly close the polygon.
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
- draw(self, renderer)
- get_paths(self)
- set_verts(self, verts, closed=True)
- This allows one to delay initialization of the vertices.
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class QuadMesh(Collection) |
| |
Class for the efficient drawing of a quadrilateral mesh.
A quadrilateral mesh consists of a grid of vertices. The
dimensions of this array are (*meshWidth* + 1, *meshHeight* +
1). Each vertex in the mesh has a different set of "mesh
coordinates" representing its position in the topology of the
mesh. For any values (*m*, *n*) such that 0 <= *m* <= *meshWidth*
and 0 <= *n* <= *meshHeight*, the vertices at mesh coordinates
(*m*, *n*), (*m*, *n* + 1), (*m* + 1, *n* + 1), and (*m* + 1, *n*)
form one of the quadrilaterals in the mesh. There are thus
(*meshWidth* * *meshHeight*) quadrilaterals in the mesh. The mesh
need not be regular and the polygons need not be convex.
A quadrilateral mesh is represented by a (2 x ((*meshWidth* + 1) *
(*meshHeight* + 1))) numpy array *coordinates*, where each row is
the *x* and *y* coordinates of one of the vertices. To define the
function that maps from a data point to its corresponding color,
use the :meth:`set_cmap` method. Each of these arrays is indexed in
row-major order by the mesh coordinates of the vertex (or the mesh
coordinates of the lower left vertex, in the case of the
colors).
For example, the first entry in *coordinates* is the
coordinates of the vertex at mesh coordinates (0, 0), then the one
at (0, 1), then at (0, 2) .. (0, meshWidth), (1, 0), (1, 1), and
so on.
|
| |
- Method resolution order:
- QuadMesh
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, meshWidth, meshHeight, coordinates, showedges, antialiased=True)
- draw(self, renderer)
- get_datalim(self, transData)
- get_paths(self, dataTrans=None)
Static methods defined here:
- convert_mesh_to_paths(meshWidth, meshHeight, coordinates)
- Converts a given mesh into a sequence of
:class:`matplotlib.path.Path` objects for easier rendering by
backends that do not directly support quadmeshes.
This function is primarily of use to backend implementers.
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class RegularPolyCollection(Collection) |
| |
Draw a collection of regular polygons with *numsides*.
|
| |
- Method resolution order:
- RegularPolyCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, numsides, rotation=0, sizes=(1,), **kwargs)
- *numsides*
the number of sides of the polygon
*rotation*
the rotation of the polygon in radians
*sizes*
gives the area of the circle circumscribing the
regular polygon in points^2
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
Example: see :file:`examples/dynamic_collection.py` for
complete example::
offsets = np.random.rand(20,2)
facecolors = [cm.jet(x) for x in np.random.rand(20)]
black = (0,0,0,1)
collection = RegularPolyCollection(
numsides=5, # a pentagon
rotation=0, sizes=(50,),
facecolors = facecolors,
edgecolors = (black,),
linewidths = (1,),
offsets = offsets,
transOffset = ax.transData,
)
- draw(self, renderer)
- get_paths(self)
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
|
class StarPolygonCollection(RegularPolyCollection) |
| |
Draw a collection of regular stars with *numsides* points.
|
| |
- Method resolution order:
- StarPolygonCollection
- RegularPolyCollection
- Collection
- matplotlib.artist.Artist
- __builtin__.object
- matplotlib.cm.ScalarMappable
Methods inherited from RegularPolyCollection:
- __init__(self, numsides, rotation=0, sizes=(1,), **kwargs)
- *numsides*
the number of sides of the polygon
*rotation*
the rotation of the polygon in radians
*sizes*
gives the area of the circle circumscribing the
regular polygon in points^2
Valid Collection keyword arguments:
* *edgecolors*: None
* *facecolors*: None
* *linewidths*: None
* *antialiaseds*: None
* *offsets*: None
* *transOffset*: transforms.IdentityTransform()
* *norm*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
* *cmap*: None (optional for
:class:`matplotlib.cm.ScalarMappable`)
*offsets* and *transOffset* are used to translate the patch after
rendering (default no offsets)
If any of *edgecolors*, *facecolors*, *linewidths*, *antialiaseds*
are None, they default to their :data:`matplotlib.rcParams` patch
setting, in sequence form.
Example: see :file:`examples/dynamic_collection.py` for
complete example::
offsets = np.random.rand(20,2)
facecolors = [cm.jet(x) for x in np.random.rand(20)]
black = (0,0,0,1)
collection = RegularPolyCollection(
numsides=5, # a pentagon
rotation=0, sizes=(50,),
facecolors = facecolors,
edgecolors = (black,),
linewidths = (1,),
offsets = offsets,
transOffset = ax.transData,
)
- draw(self, renderer)
- get_paths(self)
Methods inherited from Collection:
- contains(self, mouseevent)
- Test whether the mouse event occurred in the collection.
Returns True | False, ``dict(ind=itemlist)``, where every
item in itemlist contains the event.
- get_dashes = get_linestyles(self)
- get_datalim(self, transData)
- get_edgecolor(self)
- get_edgecolors = get_edgecolor(self)
- get_facecolor(self)
- get_facecolors = get_facecolor(self)
- get_linestyle = get_linestyles(self)
- get_linestyles(self)
- get_linewidth = get_linewidths(self)
- get_linewidths(self)
- get_offsets(self)
- Return the offsets for the collection.
- get_pickradius(self)
- get_transforms(self)
- set_alpha(self, alpha)
- Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
- set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_antialiaseds = set_antialiased(self, aa)
- Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
- set_color(self, c)
- Set both the edgecolor and the facecolor.
See :meth:`set_facecolor` and :meth:`set_edgecolor`.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_dashes = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_edgecolors = set_edgecolor(self, c)
- Set the edgecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'face', the edge color will always be the same as
the face color.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_facecolors = set_facecolor(self, c)
- Set the facecolor(s) of the collection. *c* can be a
matplotlib color arg (all patches have same color), or a
sequence or rgba tuples; if it is a sequence the patches will
cycle through the sequence
ACCEPTS: matplotlib color arg or sequence of rgba tuples
- set_linestyle = set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linestyles(self, ls)
- Set the linestyles(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) ]
- set_linewidth = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_lw = set_linewidths(self, lw)
- Set the linewidth(s) for the collection. *lw* can be a scalar
or a sequence; if it is a sequence the patches will cycle
through the sequence
ACCEPTS: float or sequence of floats
- set_offsets(self, offsets)
- Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
- set_pickradius(self, pickradius)
- update_scalarmappable(self)
- If the scalar mappable array is not none, update colors
from scalar data
Data and other attributes inherited from Collection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- add_callback(self, func)
- convert_xunits(self, x)
- for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
- convert_yunits(self, y)
- for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
- findobj(self, match=None)
- pyplot signature:
findobj(o=gcf(), match=None)
recursively find all :class:matplotlib.artist.Artist instances
contained in self
*match* can be
- None: return all objects contained in artist (including artist)
- function with signature ``boolean = match(artist)`` used to filter matches
- class instance: eg Line2D. Only return artists of class type
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_animated(self)
- return the artist's animated state
- get_axes(self)
- return the axes instance the artist resides in, or *None*
- get_clip_box(self)
- Return artist clipbox
- get_clip_on(self)
- Return whether artist uses clipping
- get_clip_path(self)
- Return artist clip path
- get_contains(self)
- return the _contains test used by the artist, or *None* for default.
- get_figure(self)
- Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
- get_label(self)
- get_picker(self)
- return the Pickeration instance used by this artist
- get_transform(self)
- Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
- get_transformed_clip_path_and_affine(self)
- Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- have_units(self)
- return *True* if units are set on the x or y axes
- hitlist(self, event)
- List the children of the artist which contain the mouse event
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- pchanged(self)
- fire event when property changed
- pick(self, mouseevent)
- call signature::
pick(mouseevent)
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
- pickable(self)
- return *True* if self is pickable
- remove(self)
- Remove the artist from the figure if possible. The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`. Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
Note: there is no support for removing the artist's legend entry.
- remove_callback(self, oid)
- set(self, **kwargs)
- A tkstyle set command, pass *kwargs* to set properties
- set_animated(self, b)
- set the artist's animation state
ACCEPTS: [True | False]
- set_axes(self, axes)
- set the axes instance in which the artist resides, if any
ACCEPTS: an axes instance
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- 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: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
- set_contains(self, picker)
- Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
- set_figure(self, fig)
- Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
- set_label(self, s)
- Set the line label to *s* for auto legend
ACCEPTS: any string
- set_lod(self, on)
- Set Level of Detail on or off. If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
ACCEPTS: [True | False]
- set_picker(self, picker)
- set the epsilon for picking used by this artist
*picker* can be one of the following:
* *None*: picking is disabled for this artist (default)
* A boolean: if *True* then picking will be enabled and the
artist will fire a pick event if the mouse event is over
the artist
* A float: if picker is a number it is interpreted as an
epsilon tolerance in points and the artist will fire
off an event if it's data is within epsilon of the mouse
event. For some artists like lines and patch collections,
the artist may provide additional data to the pick event
that is generated, e.g. the indices of the data within
epsilon of the pick event
* A function: if picker is callable, it is a user supplied
function which determines whether the artist is hit by the
mouse event::
hit, props = picker(artist, mouseevent)
to determine the hit test. if the mouse event is over the
artist, return *hit=True* and props is a dictionary of
properties you want added to the PickEvent attributes.
ACCEPTS: [None|float|boolean|callable]
- set_transform(self, t)
- Set the :class:`~matplotlib.transforms.Transform` instance
used by this artist.
- set_visible(self, b)
- set the artist's visiblity
ACCEPTS: [True | False]
- set_zorder(self, level)
- Set the zorder for the artist
ACCEPTS: any number
- update(self, props)
- update_from(self, other)
- Copy properties from *other* to *self*.
Data descriptors inherited from matplotlib.artist.Artist:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_checker(self, checker)
- Add an entry to a dictionary of boolean flags
that are set to True when the mappable is changed.
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- autoscale_None(self)
- Autoscale the scalar limits on the norm instance using the
current array, changing only limits that are None
- changed(self)
- Call this whenever the mappable is changed to notify all the
callbackSM listeners to the 'changed' signal
- check_update(self, checker)
- If mappable has changed since the last check,
return True; else return False
- get_array(self)
- Return the array
- get_clim(self)
- return the min, max of the color limits for image scaling
- get_cmap(self)
- return the colormap
- set_array(self, A)
- Set the image array from numpy array *A*
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling; if *vmin* is a length2
sequence, interpret it as ``(vmin, vmax)`` which is used to
support setp
ACCEPTS: a length 2 sequence of floats
- set_cmap(self, cmap)
- set the colormap for luminance data
ACCEPTS: a colormap
- set_colorbar(self, im, ax)
- set the colorbar image and axes associated with mappable
- set_norm(self, norm)
- set the normalization instance
- to_rgba(self, x, alpha=1.0, bytes=False)
- Return a normalized rgba array corresponding to *x*. If *x*
is already an rgb array, insert *alpha*; if it is already
rgba, return it unchanged. If *bytes* is True, return rgba as
4 uint8s instead of 4 floats.
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