"""
Classes for the efficient drawing of large collections of objects that
share most properties, e.g. a large number of line segments or
polygons.
The classes are not meant to be as flexible as their single element
counterparts (e.g. you may not be able to select all line styles) but
they are meant to be fast for common use cases (e.g. a bunch of solid
line segemnts)
"""
import copy, math, warnings
import numpy as np
from numpy import ma
import matplotlib as mpl
import matplotlib.cbook as cbook
import matplotlib.colors as _colors # avoid conflict with kwarg
import matplotlib.cm as cm
import matplotlib.transforms as transforms
import matplotlib.artist as artist
from matplotlib.artist import allow_rasterization
import matplotlib.backend_bases as backend_bases
import matplotlib.path as mpath
import matplotlib.mlab as mlab
class Collection(artist.Artist, 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.
"""
_offsets = np.array([], np.float_)
_transOffset = transforms.IdentityTransform()
_transforms = []
zorder = 1
def __init__(self,
edgecolors=None,
facecolors=None,
linewidths=None,
linestyles='solid',
antialiaseds = None,
offsets = None,
transOffset = None,
norm = None, # optional for ScalarMappable
cmap = None, # ditto
pickradius = 5.0,
urls = None,
**kwargs
):
"""
Create a Collection
%(Collection)s
"""
artist.Artist.__init__(self)
cm.ScalarMappable.__init__(self, norm, cmap)
self.set_edgecolor(edgecolors)
self.set_facecolor(facecolors)
self.set_linewidth(linewidths)
self.set_linestyle(linestyles)
self.set_antialiased(antialiaseds)
self.set_urls(urls)
self._uniform_offsets = None
self._offsets = np.array([], np.float_)
if offsets is not None:
offsets = np.asarray(offsets)
if len(offsets.shape) == 1:
offsets = offsets[np.newaxis,:] # Make it Nx2.
if transOffset is not None:
self._offsets = offsets
self._transOffset = transOffset
else:
self._uniform_offsets = offsets
self._pickradius = pickradius
self.update(kwargs)
def _get_value(self, val):
try: return (float(val), )
except TypeError:
if cbook.iterable(val) and len(val):
try: float(val[0])
except TypeError: pass # raise below
except ValueError: pass
else: return val
raise TypeError('val must be a float or nonzero sequence of floats')
def _get_bool(self, val):
try: return (bool(val), )
except TypeError:
if cbook.iterable(val) and len(val):
try: bool(val[0])
except TypeError: pass # raise below
else: return val
raise TypeError('val must be a bool or nonzero sequence of them')
def get_paths(self):
raise NotImplementedError
def get_transforms(self):
return self._transforms
def get_datalim(self, transData):
transform = self.get_transform()
transOffset = self._transOffset
offsets = self._offsets
paths = self.get_paths()
if not transform.is_affine:
paths = [transform.transform_path_non_affine(p) for p in paths]
transform = transform.get_affine()
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
offsets = np.asarray(offsets, np.float_)
result = mpath.get_path_collection_extents(
transform.frozen(), paths, self.get_transforms(),
offsets, transOffset.frozen())
result = result.inverse_transformed(transData)
return result
def get_window_extent(self, renderer):
bbox = self.get_datalim(transforms.IdentityTransform())
#TODO:check to ensure that this does not fail for
#cases other than scatter plot legend
return bbox
def _prepare_points(self):
"""Point prep for drawing and hit testing"""
transform = self.get_transform()
transOffset = self._transOffset
offsets = self._offsets
paths = self.get_paths()
if self.have_units():
paths = []
for path in self.get_paths():
vertices = path.vertices
xs, ys = vertices[:, 0], vertices[:, 1]
xs = self.convert_xunits(xs)
ys = self.convert_yunits(ys)
paths.append(mpath.Path(zip(xs, ys), path.codes))
if len(self._offsets):
xs = self.convert_xunits(self._offsets[:,0])
ys = self.convert_yunits(self._offsets[:,1])
offsets = zip(xs, ys)
offsets = np.asarray(offsets, np.float_)
if not transform.is_affine:
paths = [transform.transform_path_non_affine(path) for path in paths]
transform = transform.get_affine()
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
return transform, transOffset, offsets, paths
@allow_rasterization
def draw(self, renderer):
if not self.get_visible(): return
renderer.open_group(self.__class__.__name__)
self.update_scalarmappable()
clippath, clippath_trans = self.get_transformed_clip_path_and_affine()
if clippath_trans is not None:
clippath_trans = clippath_trans.frozen()
transform, transOffset, offsets, paths = self._prepare_points()
renderer.draw_path_collection(
transform.frozen(), self.clipbox, clippath, clippath_trans,
paths, self.get_transforms(),
offsets, transOffset,
self.get_facecolor(), self.get_edgecolor(), self._linewidths,
self._linestyles, self._antialiaseds, self._urls)
renderer.close_group(self.__class__.__name__)
def 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.
"""
if callable(self._contains): return self._contains(self,mouseevent)
if not self.get_visible(): return False,{}
transform, transOffset, offsets, paths = self._prepare_points()
ind = mpath.point_in_path_collection(
mouseevent.x, mouseevent.y, self._pickradius,
transform.frozen(), paths, self.get_transforms(),
offsets, transOffset, len(self._facecolors)>0)
return len(ind)>0,dict(ind=ind)
def set_pickradius(self,pickradius): self.pickradius = 5
def get_pickradius(self): return self.pickradius
def set_urls(self, urls):
if urls is None:
self._urls = [None,]
else:
self._urls = urls
def get_urls(self): return self._urls
def set_offsets(self, offsets):
"""
Set the offsets for the collection. *offsets* can be a scalar
or a sequence.
ACCEPTS: float or sequence of floats
"""
offsets = np.asarray(offsets, np.float_)
if len(offsets.shape) == 1:
offsets = offsets[np.newaxis,:] # Make it Nx2.
#This decision is based on how they are initialized above
if self._uniform_offsets is None:
self._offsets = offsets
else:
self._uniform_offsets = offsets
def get_offsets(self):
"""
Return the offsets for the collection.
"""
#This decision is based on how they are initialized above in __init__()
if self._uniform_offsets is None:
return self._offsets
else:
return self._uniform_offsets
def set_linewidth(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
"""
if lw is None: lw = mpl.rcParams['patch.linewidth']
self._linewidths = self._get_value(lw)
def set_linewidths(self, lw):
"""alias for set_linewidth"""
return self.set_linewidth(lw)
def set_lw(self, lw):
"""alias for set_linewidth"""
return self.set_linewidth(lw)
def set_linestyle(self, ls):
"""
Set the linestyle(s) for the collection.
ACCEPTS: ['solid' | 'dashed', 'dashdot', 'dotted' |
(offset, on-off-dash-seq) ]
"""
try:
dashd = backend_bases.GraphicsContextBase.dashd
if cbook.is_string_like(ls):
if ls in dashd:
dashes = [dashd[ls]]
elif ls in cbook.ls_mapper:
dashes = [dashd[cbook.ls_mapper[ls]]]
else:
raise ValueError()
elif cbook.iterable(ls):
try:
dashes = []
for x in ls:
if cbook.is_string_like(x):
if x in dashd:
dashes.append(dashd[x])
elif x in cbook.ls_mapper:
dashes.append(dashd[cbook.ls_mapper[x]])
else:
raise ValueError()
elif cbook.iterable(x) and len(x) == 2:
dashes.append(x)
else:
raise ValueError()
except ValueError:
if len(ls)==2:
dashes = ls
else:
raise ValueError()
else:
raise ValueError()
except ValueError:
raise ValueError('Do not know how to convert %s to dashes'%ls)
self._linestyles = dashes
def set_linestyles(self, ls):
"""alias for set_linestyle"""
return self.set_linestyle(ls)
def set_dashes(self, ls):
"""alias for set_linestyle"""
return self.set_linestyle(ls)
def set_antialiased(self, aa):
"""
Set the antialiasing state for rendering.
ACCEPTS: Boolean or sequence of booleans
"""
if aa is None:
aa = mpl.rcParams['patch.antialiased']
self._antialiaseds = self._get_bool(aa)
def set_antialiaseds(self, aa):
"""alias for set_antialiased"""
return self.set_antialiased(aa)
def set_color(self, c):
"""
Set both the edgecolor and the facecolor.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
.. seealso::
:meth:`set_facecolor`, :meth:`set_edgecolor`
For setting the edge or face color individually.
"""
self.set_facecolor(c)
self.set_edgecolor(c)
def 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 of rgba tuples; if it is a sequence the patches will
cycle through the sequence.
If *c* is 'none', the patch will not be filled.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
"""
self._is_filled = True
try:
if c.lower() == 'none':
self._is_filled = False
except AttributeError:
pass
if c is None: c = mpl.rcParams['patch.facecolor']
self._facecolors_original = c
self._facecolors = _colors.colorConverter.to_rgba_array(c, self._alpha)
def set_facecolors(self, c):
"""alias for set_facecolor"""
return self.set_facecolor(c)
def get_facecolor(self):
return self._facecolors
get_facecolors = get_facecolor
def get_edgecolor(self):
if self._edgecolors == 'face':
return self.get_facecolors()
else:
return self._edgecolors
get_edgecolors = get_edgecolor
def 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 of 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. If it is 'none', the patch boundary will not
be drawn.
ACCEPTS: matplotlib color arg or sequence of rgba tuples
"""
self._is_stroked = True
try:
if c.lower() == 'none':
self._is_stroked = False
except AttributeError:
pass
if c == 'face':
self._edgecolors = 'face'
self._edgecolors_original = 'face'
else:
if c is None: c = mpl.rcParams['patch.edgecolor']
self._edgecolors_original = c
self._edgecolors = _colors.colorConverter.to_rgba_array(c, self._alpha)
def set_edgecolors(self, c):
"""alias for set_edgecolor"""
return self.set_edgecolor(c)
def set_alpha(self, alpha):
"""
Set the alpha tranparencies of the collection. *alpha* must be
a float.
ACCEPTS: float
"""
try: float(alpha)
except TypeError: raise TypeError('alpha must be a float')
else:
artist.Artist.set_alpha(self, alpha)
try:
self._facecolors = _colors.colorConverter.to_rgba_array(
self._facecolors_original, self._alpha)
except (AttributeError, TypeError, IndexError):
pass
try:
if self._edgecolors_original != 'face':
self._edgecolors = _colors.colorConverter.to_rgba_array(
self._edgecolors_original, self._alpha)
except (AttributeError, TypeError, IndexError):
pass
def get_linewidths(self):
return self._linewidths
get_linewidth = get_linewidths
def get_linestyles(self):
return self._linestyles
get_dashes = get_linestyle = get_linestyles
def update_scalarmappable(self):
"""
If the scalar mappable array is not none, update colors
from scalar data
"""
if self._A is None: return
if self._A.ndim > 1:
raise ValueError('Collections can only map rank 1 arrays')
if self._is_filled:
self._facecolors = self.to_rgba(self._A, self._alpha)
elif self._is_stroked:
self._edgecolors = self.to_rgba(self._A, self._alpha)
def update_from(self, other):
'copy properties from other to self'
artist.Artist.update_from(self, other)
self._antialiaseds = other._antialiaseds
self._edgecolors_original = other._edgecolors_original
self._edgecolors = other._edgecolors
self._facecolors_original = other._facecolors_original
self._facecolors = other._facecolors
self._linewidths = other._linewidths
self._linestyles = other._linestyles
self._pickradius = other._pickradius
# these are not available for the object inspector until after the
# class is built so we define an initial set here for the init
# function and they will be overridden after object defn
artist.kwdocd['Collection'] = """\
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.
"""
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.
"""
def __init__(self, meshWidth, meshHeight, coordinates, showedges, antialiased=True):
Collection.__init__(self)
self._meshWidth = meshWidth
self._meshHeight = meshHeight
self._coordinates = coordinates
self._showedges = showedges
self._antialiased = antialiased
self._paths = None
self._bbox = transforms.Bbox.unit()
self._bbox.update_from_data_xy(coordinates.reshape(
((meshWidth + 1) * (meshHeight + 1), 2)))
# By converting to floats now, we can avoid that on every draw.
self._coordinates = self._coordinates.reshape((meshHeight + 1, meshWidth + 1, 2))
self._coordinates = np.array(self._coordinates, np.float_)
def get_paths(self, dataTrans=None):
if self._paths is None:
self._paths = self.convert_mesh_to_paths(
self._meshWidth, self._meshHeight, self._coordinates)
return self._paths
@staticmethod
def 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.
"""
Path = mpath.Path
if ma.isMaskedArray(coordinates):
c = coordinates.data
else:
c = coordinates
points = np.concatenate((
c[0:-1, 0:-1],
c[0:-1, 1: ],
c[1: , 1: ],
c[1: , 0:-1],
c[0:-1, 0:-1]
), axis=2)
points = points.reshape((meshWidth * meshHeight, 5, 2))
return [Path(x) for x in points]
def get_datalim(self, transData):
return self._bbox
@allow_rasterization
def draw(self, renderer):
if not self.get_visible(): return
renderer.open_group(self.__class__.__name__)
transform = self.get_transform()
transOffset = self._transOffset
offsets = self._offsets
if self.have_units():
if len(self._offsets):
xs = self.convert_xunits(self._offsets[:0])
ys = self.convert_yunits(self._offsets[:1])
offsets = zip(xs, ys)
offsets = np.asarray(offsets, np.float_)
if self.check_update('array'):
self.update_scalarmappable()
clippath, clippath_trans = self.get_transformed_clip_path_and_affine()
if clippath_trans is not None:
clippath_trans = clippath_trans.frozen()
if not transform.is_affine:
coordinates = self._coordinates.reshape(
(self._coordinates.shape[0] *
self._coordinates.shape[1],
2))
coordinates = transform.transform(coordinates)
coordinates = coordinates.reshape(self._coordinates.shape)
transform = transforms.IdentityTransform()
else:
coordinates = self._coordinates
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
renderer.draw_quad_mesh(
transform.frozen(), self.clipbox, clippath, clippath_trans,
self._meshWidth, self._meshHeight, coordinates,
offsets, transOffset, self.get_facecolor(), self._antialiased,
self._showedges)
renderer.close_group(self.__class__.__name__)
class PolyCollection(Collection):
def __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.
%(Collection)s
"""
Collection.__init__(self,**kwargs)
self._sizes = sizes
self.set_verts(verts, closed)
__init__.__doc__ = cbook.dedent(__init__.__doc__) % artist.kwdocd
def set_verts(self, verts, closed=True):
'''This allows one to delay initialization of the vertices.'''
if np.ma.isMaskedArray(verts):
verts = verts.astype(np.float_).filled(np.nan)
# This is much faster than having Path do it one at a time.
if closed:
self._paths = []
for xy in verts:
if np.ma.isMaskedArray(xy):
if len(xy) and (xy[0] != xy[-1]).any():
xy = np.ma.concatenate([xy, [xy[0]]])
else:
xy = np.asarray(xy)
if len(xy) and (xy[0] != xy[-1]).any():
xy = np.concatenate([xy, [xy[0]]])
self._paths.append(mpath.Path(xy))
else:
self._paths = [mpath.Path(xy) for xy in verts]
def get_paths(self):
return self._paths
def draw(self, renderer):
if self._sizes is not None:
self._transforms = [
transforms.Affine2D().scale(
(np.sqrt(x) * self.figure.dpi / 72.0))
for x in self._sizes]
return Collection.draw(self, renderer)
class BrokenBarHCollection(PolyCollection):
"""
A collection of horizontal bars spanning *yrange* with a sequence of
*xranges*.
"""
def __init__(self, xranges, yrange, **kwargs):
"""
*xranges*
sequence of (*xmin*, *xwidth*)
*yrange*
*ymin*, *ywidth*
%(Collection)s
"""
ymin, ywidth = yrange
ymax = ymin + ywidth
verts = [ [(xmin, ymin), (xmin, ymax), (xmin+xwidth, ymax), (xmin+xwidth, ymin), (xmin, ymin)] for xmin, xwidth in xranges]
PolyCollection.__init__(self, verts, **kwargs)
__init__.__doc__ = cbook.dedent(__init__.__doc__) % artist.kwdocd
@staticmethod
def span_where(x, ymin, ymax, where, **kwargs):
"""
Create a BrokenBarHCollection to plot horizontal bars from
over the regions in *x* where *where* is True. The bars range
on the y-axis from *ymin* to *ymax*
A :class:`BrokenBarHCollection` is returned. *kwargs* are
passed on to the collection.
"""
xranges = []
for ind0, ind1 in mlab.contiguous_regions(where):
xslice = x[ind0:ind1]
if not len(xslice):
continue
xranges.append((xslice[0], xslice[-1]-xslice[0]))
collection = BrokenBarHCollection(xranges, [ymin, ymax-ymin], **kwargs)
return collection
class RegularPolyCollection(Collection):
"""Draw a collection of regular polygons with *numsides*."""
_path_generator = mpath.Path.unit_regular_polygon
def __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
%(Collection)s
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,
)
"""
Collection.__init__(self,**kwargs)
self._sizes = sizes
self._numsides = numsides
self._paths = [self._path_generator(numsides)]
self._rotation = rotation
self.set_transform(transforms.IdentityTransform())
__init__.__doc__ = cbook.dedent(__init__.__doc__) % artist.kwdocd
@allow_rasterization
def draw(self, renderer):
self._transforms = [
transforms.Affine2D().rotate(-self._rotation).scale(
(np.sqrt(x) * self.figure.dpi / 72.0) / np.sqrt(np.pi))
for x in self._sizes]
return Collection.draw(self, renderer)
def get_paths(self):
return self._paths
def get_numsides(self):
return self._numsides
def get_rotation(self):
return self._rotation
def get_sizes(self):
return self._sizes
class StarPolygonCollection(RegularPolyCollection):
"""
Draw a collection of regular stars with *numsides* points."""
_path_generator = mpath.Path.unit_regular_star
class AsteriskPolygonCollection(RegularPolyCollection):
"""
Draw a collection of regular asterisks with *numsides* points."""
_path_generator = mpath.Path.unit_regular_asterisk
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.
"""
zorder = 2
def __init__(self, segments, # Can be None.
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.
"""
if colors is None: colors = mpl.rcParams['lines.color']
if linewidths is None: linewidths = (mpl.rcParams['lines.linewidth'],)
if antialiaseds is None: antialiaseds = (mpl.rcParams['lines.antialiased'],)
self.set_linestyles(linestyles)
colors = _colors.colorConverter.to_rgba_array(colors)
Collection.__init__(
self,
edgecolors=colors,
facecolors='none',
linewidths=linewidths,
linestyles=linestyles,
antialiaseds=antialiaseds,
offsets=offsets,
transOffset=transOffset,
norm=norm,
cmap=cmap,
pickradius=pickradius,
**kwargs)
self.set_segments(segments)
def get_paths(self):
return self._paths
def set_segments(self, segments):
if segments is None: return
_segments = []
for seg in segments:
if not np.ma.isMaskedArray(seg):
seg = np.asarray(seg, np.float_)
_segments.append(seg)
if self._uniform_offsets is not None:
_segments = self._add_offsets(_segments)
self._paths = [mpath.Path(seg) for seg in _segments]
set_verts = set_segments # for compatibility with PolyCollection
def _add_offsets(self, segs):
offsets = self._uniform_offsets
Nsegs = len(segs)
Noffs = offsets.shape[0]
if Noffs == 1:
for i in range(Nsegs):
segs[i] = segs[i] + i * offsets
else:
for i in range(Nsegs):
io = i%Noffs
segs[i] = segs[i] + offsets[io:io+1]
return segs
def 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
"""
self._edgecolors = _colors.colorConverter.to_rgba_array(c)
def 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
"""
warnings.warn('LineCollection.color deprecated; use set_color instead')
return self.set_color(c)
def get_color(self):
return self._edgecolors
get_colors = get_color # for compatibility with old versions
class CircleCollection(Collection):
"""
A collection of circles, drawn using splines.
"""
def __init__(self, sizes, **kwargs):
"""
*sizes*
Gives the area of the circle in points^2
%(Collection)s
"""
Collection.__init__(self,**kwargs)
self._sizes = sizes
self.set_transform(transforms.IdentityTransform())
self._paths = [mpath.Path.unit_circle()]
__init__.__doc__ = cbook.dedent(__init__.__doc__) % artist.kwdocd
def get_sizes(self):
"return sizes of circles"
return self._sizes
def draw(self, renderer):
# sizes is the area of the circle circumscribing the polygon
# in points^2
self._transforms = [
transforms.Affine2D().scale(
(np.sqrt(x) * self.figure.dpi / 72.0) / np.sqrt(np.pi))
for x in self._sizes]
return Collection.draw(self, renderer)
def get_paths(self):
return self._paths
class EllipseCollection(Collection):
"""
A collection of ellipses, drawn using splines.
"""
def __init__(self, widths, heights, angles, units='points', **kwargs):
"""
*widths*: sequence
half-lengths of first axes (e.g., semi-major axis lengths)
*heights*: sequence
half-lengths of second axes
*angles*: sequence
angles of first axes, degrees CCW from the X-axis
*units*: ['points' | 'inches' | 'dots' | 'width' | 'height' | 'x' | 'y']
units in which majors and minors are given; 'width' and 'height'
refer to the dimensions of the axes, while 'x' and 'y'
refer to the *offsets* data units.
Additional kwargs inherited from the base :class:`Collection`:
%(Collection)s
"""
Collection.__init__(self,**kwargs)
self._widths = np.asarray(widths).ravel()
self._heights = np.asarray(heights).ravel()
self._angles = np.asarray(angles).ravel() *(np.pi/180.0)
self._units = units
self.set_transform(transforms.IdentityTransform())
self._transforms = []
self._paths = [mpath.Path.unit_circle()]
self._initialized = False
__init__.__doc__ = cbook.dedent(__init__.__doc__) % artist.kwdocd
def _init(self):
def on_dpi_change(fig):
self._transforms = []
self.figure.callbacks.connect('dpi_changed', on_dpi_change)
self._initialized = True
def set_transforms(self):
if not self._initialized:
self._init()
self._transforms = []
ax = self.axes
fig = self.figure
if self._units in ('x', 'y'):
if self._units == 'x':
dx0 = ax.viewLim.width
dx1 = ax.bbox.width
else:
dx0 = ax.viewLim.height
dx1 = ax.bbox.height
sc = dx1/dx0
else:
if self._units == 'inches':
sc = fig.dpi
elif self._units == 'points':
sc = fig.dpi / 72.0
elif self._units == 'width':
sc = ax.bbox.width
elif self._units == 'height':
sc = ax.bbox.height
elif self._units == 'dots':
sc = 1.0
else:
raise ValueError('unrecognized units: %s' % self._units)
_affine = transforms.Affine2D
for x, y, a in zip(self._widths, self._heights, self._angles):
trans = _affine().scale(x * sc, y * sc).rotate(a)
self._transforms.append(trans)
def draw(self, renderer):
if True: ###not self._transforms:
self.set_transforms()
return Collection.draw(self, renderer)
def get_paths(self):
return self._paths
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.
"""
def __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.
"""
if match_original:
def determine_facecolor(patch):
if patch.fill:
return patch.get_facecolor()
return [0, 0, 0, 0]
facecolors = [determine_facecolor(p) for p in patches]
edgecolors = [p.get_edgecolor() for p in patches]
linewidths = [p.get_linewidth() for p in patches]
antialiaseds = [p.get_antialiased() for p in patches]
Collection.__init__(
self,
edgecolors=edgecolors,
facecolors=facecolors,
linewidths=linewidths,
linestyles='solid',
antialiaseds = antialiaseds)
else:
Collection.__init__(self, **kwargs)
paths = [p.get_transform().transform_path(p.get_path())
for p in patches]
self._paths = paths
def get_paths(self):
return self._paths
artist.kwdocd['Collection'] = patchstr = artist.kwdoc(Collection)
for k in ('QuadMesh', 'PolyCollection', 'BrokenBarHCollection', 'RegularPolyCollection',
'StarPolygonCollection', 'PatchCollection', 'CircleCollection'):
artist.kwdocd[k] = patchstr
artist.kwdocd['LineCollection'] = artist.kwdoc(LineCollection)
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