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- matplotlib.artist.Artist
-
- Collection
-
- LineCollection
- PatchCollection(Collection, matplotlib.cm.ScalarMappable)
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- PolyCollection
- RegularPolyCollection
class Collection(matplotlib.artist.Artist) |
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All properties in a collection must be sequences. The
property of the ith element of the collection is the
prop[i % len(props)].
This implies that the properties cycle if the len of props is less
than the number of elements of the collection. A length 1
property is shared by all the elements of the collection
All color args to a collection are sequences of rgba tuples |
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Methods defined here:
- __init__(self)
Methods inherited from matplotlib.artist.Artist:
- draw(self, renderer, *args, **kwargs)
- Derived classes drawing method
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_clip_on(self)
- Return whether artist uses clipping
- get_label(self)
- get_transform(self)
- return the Transformation instance used by this artist
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- set_alpha(self, alpha)
- Set the alpha value used for blending - not supported on
all backends
ACCEPTS: float
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a matplotlib.transform.Bbox instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- set_figure(self, fig)
- Set the figure instance the artist belong to
ACCEPTS: a 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_transform(self, t)
- set the Transformation instance used by this artist
ACCEPTS: a matplotlib.transform transformation instance
- 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)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
- zorder = 0
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class LineCollection(Collection) |
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All parameters must be sequences. The property of the ith line
segment is the prop[i % len(props)], ie the properties cycle if
the len of props is less than the number of sements |
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- Method resolution order:
- LineCollection
- Collection
- matplotlib.artist.Artist
Methods defined here:
- __init__(self, segments, linewidths=None, colors=None, antialiaseds=None, offsets=None, transOffset=None)
- segments is a sequence of ( line0, line1, line2), where linen =
(x0, y0), (x1, y1), ... (xm, ym). Each line can be a
different length
colors must be a tuple of RGBA tuples (eg arbitrary color
strings, etc, not allowed).
antialiaseds must be a sequence of ones or zeros
if linewidths, colors or antialiaseds is None, they default to
their rc params setting, in sequence form
- color(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- draw(self, renderer)
- get_colors(self)
- get_linewidths(self)
- set_alpha(self, alpha)
- set_linewidth(self, lw)
- lw can be a scalar or a sequence; if it is a sequence the
patches will cycle through the sequence
Data and other attributes defined here:
- zorder = 2
Methods inherited from matplotlib.artist.Artist:
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_clip_on(self)
- Return whether artist uses clipping
- get_label(self)
- get_transform(self)
- return the Transformation instance used by this artist
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a matplotlib.transform.Bbox instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- set_figure(self, fig)
- Set the figure instance the artist belong to
ACCEPTS: a 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_transform(self, t)
- set the Transformation instance used by this artist
ACCEPTS: a matplotlib.transform transformation instance
- 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)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
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class PatchCollection(Collection, matplotlib.cm.ScalarMappable) |
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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 patch.* rc params setting, in sequence
form
The use of ScalarMappable is optional. If the 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. |
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- Method resolution order:
- PatchCollection
- Collection
- matplotlib.artist.Artist
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, edgecolors=None, facecolors=None, linewidths=None, antialiaseds=None, offsets=None, transOffset=<Affine object>, norm=None, cmap=None)
- set_alpha(self, alpha)
- set_edgecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_facecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_linewidth(self, lw)
- lw can be a scalar or a sequence; if it is a sequence the
patches will cycle through the sequence
- update_scalarmappable(self)
- if the scalar mappable array is not none, update facecolors
from scalar data
Data and other attributes defined here:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- draw(self, renderer, *args, **kwargs)
- Derived classes drawing method
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_clip_on(self)
- Return whether artist uses clipping
- get_label(self)
- get_transform(self)
- return the Transformation instance used by this artist
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a matplotlib.transform.Bbox instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- set_figure(self, fig)
- Set the figure instance the artist belong to
ACCEPTS: a 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_transform(self, t)
- set the Transformation instance used by this artist
ACCEPTS: a matplotlib.transform transformation instance
- 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)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_observer(self, mappable)
- whenever the norm, clim or cmap is set, call the notify
instance of the mappable observer with self.
This is designed to allow one image to follow changes in the
cmap of another image
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- changed(self)
- Call this whenever the mappable is changed so observers can
update state
- notify(self, mappable)
- If this is called then we are pegged to another mappable.
Update the cmap, norm accordingly
- set_array(self, A)
- Set the image array from numeric/numarray A
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling
- set_cmap(self, cmap)
- set the colormap for luminance data
- set_norm(self, norm)
- set the colormap for luminance data
- to_rgba(self, x, alpha=1.0)
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class PolyCollection(PatchCollection) |
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- Method resolution order:
- PolyCollection
- PatchCollection
- Collection
- matplotlib.artist.Artist
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, verts, **kwargs)
- verts is a sequence of ( verts0, verts1, ...) where verts_i is
a sequence of xy tuples of vertices.
Optional kwargs from Patch collection include
edgecolors = ( (0,0,0,1), ),
facecolors = ( (1,1,1,0), ),
linewidths = ( 1.0, ),
antialiaseds = (1,),
offsets = None
transOffset = None
- draw(self, renderer)
Methods inherited from PatchCollection:
- set_alpha(self, alpha)
- set_edgecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_facecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_linewidth(self, lw)
- lw can be a scalar or a sequence; if it is a sequence the
patches will cycle through the sequence
- update_scalarmappable(self)
- if the scalar mappable array is not none, update facecolors
from scalar data
Data and other attributes inherited from PatchCollection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_clip_on(self)
- Return whether artist uses clipping
- get_label(self)
- get_transform(self)
- return the Transformation instance used by this artist
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a matplotlib.transform.Bbox instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- set_figure(self, fig)
- Set the figure instance the artist belong to
ACCEPTS: a 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_transform(self, t)
- set the Transformation instance used by this artist
ACCEPTS: a matplotlib.transform transformation instance
- 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)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_observer(self, mappable)
- whenever the norm, clim or cmap is set, call the notify
instance of the mappable observer with self.
This is designed to allow one image to follow changes in the
cmap of another image
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- changed(self)
- Call this whenever the mappable is changed so observers can
update state
- notify(self, mappable)
- If this is called then we are pegged to another mappable.
Update the cmap, norm accordingly
- set_array(self, A)
- Set the image array from numeric/numarray A
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling
- set_cmap(self, cmap)
- set the colormap for luminance data
- set_norm(self, norm)
- set the colormap for luminance data
- to_rgba(self, x, alpha=1.0)
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class RegularPolyCollection(PatchCollection) |
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- Method resolution order:
- RegularPolyCollection
- PatchCollection
- Collection
- matplotlib.artist.Artist
- matplotlib.cm.ScalarMappable
Methods defined here:
- __init__(self, dpi, numsides, rotation=0, sizes=(1,), **kwargs)
- Draw a regular polygon with numsides. sizes gives the area of
the circle circumscribing the regular polygon and rotation is
the rotation of the polygon in radians.
offsets are a sequence of x,y tuples that give the centers of
the polygon in data coordinates, and transOffset is the
Transformation instance used to transform the centers onto the
canvas.
dpi is the figure dpi instance, and is required to do the area
scaling.
- draw(self, renderer)
Methods inherited from PatchCollection:
- set_alpha(self, alpha)
- set_edgecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_facecolor(self, c)
- c can be a matplotlib color arg (all patches have same color),
or a a sequence or rgba tuples; if it is a sequence the
patches will cycle through the sequence
- set_linewidth(self, lw)
- lw can be a scalar or a sequence; if it is a sequence the
patches will cycle through the sequence
- update_scalarmappable(self)
- if the scalar mappable array is not none, update facecolors
from scalar data
Data and other attributes inherited from PatchCollection:
- zorder = 1
Methods inherited from matplotlib.artist.Artist:
- get_alpha(self)
- Return the alpha value used for blending - not supported on all
backends
- get_clip_on(self)
- Return whether artist uses clipping
- get_label(self)
- get_transform(self)
- return the Transformation instance used by this artist
- get_visible(self)
- return the artist's visiblity
- get_zorder(self)
- is_figure_set(self)
- is_transform_set(self)
- Artist has transform explicity let
- set_clip_box(self, clipbox)
- Set the artist's clip Bbox
ACCEPTS: a matplotlib.transform.Bbox instance
- set_clip_on(self, b)
- Set whether artist uses clipping
ACCEPTS: [True | False]
- set_figure(self, fig)
- Set the figure instance the artist belong to
ACCEPTS: a 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_transform(self, t)
- set the Transformation instance used by this artist
ACCEPTS: a matplotlib.transform transformation instance
- 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)
Data and other attributes inherited from matplotlib.artist.Artist:
- aname = 'Artist'
Methods inherited from matplotlib.cm.ScalarMappable:
- add_observer(self, mappable)
- whenever the norm, clim or cmap is set, call the notify
instance of the mappable observer with self.
This is designed to allow one image to follow changes in the
cmap of another image
- autoscale(self)
- Autoscale the scalar limits on the norm instance using the
current array
- changed(self)
- Call this whenever the mappable is changed so observers can
update state
- notify(self, mappable)
- If this is called then we are pegged to another mappable.
Update the cmap, norm accordingly
- set_array(self, A)
- Set the image array from numeric/numarray A
- set_clim(self, vmin=None, vmax=None)
- set the norm limits for image scaling
- set_cmap(self, cmap)
- set the colormap for luminance data
- set_norm(self, norm)
- set the colormap for luminance data
- to_rgba(self, x, alpha=1.0)
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