本文整理汇总了Python中matplotlib.collections.PolyCollection.set_norm方法的典型用法代码示例。如果您正苦于以下问题：Python PolyCollection.set_norm方法的具体用法？Python PolyCollection.set_norm怎么用？Python PolyCollection.set_norm使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.collections.PolyCollection的用法示例。
在下文中一共展示了PolyCollection.set_norm方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __plot_variance
# 需要导入模块: from matplotlib.collections import PolyCollection [as 别名]
# 或者: from matplotlib.collections.PolyCollection import set_norm [as 别名]
def __plot_variance(self):
pointsMin = self.__calc_min()
pointsMax = self.__calc_max()
polys = []
variance = []
varMin = 1000
varMax = 0
lastX = None
lastYMin = None
lastYMax = None
for x in pointsMin.iterkeys():
if lastX is None:
lastX = x
if lastYMin is None:
lastYMin = pointsMin[x]
if lastYMax is None:
lastYMax = pointsMax[x]
polys.append([[x, pointsMin[x]],
[x, pointsMax[x]],
[lastX, lastYMax],
[lastX, lastYMin],
[x, pointsMin[x]]])
lastX = x
lastYMin = pointsMin[x]
lastYMax = pointsMax[x]
var = pointsMax[x] - pointsMin[x]
variance.append(var)
varMin = min(varMin, var)
varMax = max(varMax, var)
norm = Normalize(vmin=varMin, vmax=varMax)
sm = ScalarMappable(norm, self.colourMap)
colours = sm.to_rgba(variance)
pc = PolyCollection(polys)
pc.set_gid('plot')
pc.set_norm(norm)
pc.set_color(colours)
self.axes.add_collection(pc)
return None, None示例2: tripcolor
# 需要导入模块: from matplotlib.collections import PolyCollection [as 别名]
# 或者: from matplotlib.collections.PolyCollection import set_norm [as 别名]
def tripcolor(ax, *args, **kwargs):
"""
Create a pseudocolor plot of an unstructured triangular grid to
the :class:`~matplotlib.axes.Axes`.
The triangulation can be specified in one of two ways; either::
tripcolor(triangulation, ...)
where triangulation is a :class:`~matplotlib.tri.Triangulation`
object, or
::
tripcolor(x, y, ...)
tripcolor(x, y, triangles, ...)
tripcolor(x, y, triangles=triangles, ...)
tripcolor(x, y, mask=mask, ...)
tripcolor(x, y, triangles, mask=mask, ...)
in which case a Triangulation object will be created. See
:class:`~matplotlib.tri.Triangulation` for a explanation of these
possibilities.
The next argument must be *C*, the array of color values, one per
point in the triangulation. The colors used for each triangle
are from the mean C of the triangle's three points.
The remaining kwargs are the same as for
:meth:`~matplotlib.axes.Axes.pcolor`.
**Example:**
.. plot:: mpl_examples/pylab_examples/tripcolor_demo.py
"""
if not ax._hold: ax.cla()
alpha = kwargs.pop('alpha', 1.0)
norm = kwargs.pop('norm', None)
cmap = kwargs.pop('cmap', None)
vmin = kwargs.pop('vmin', None)
vmax = kwargs.pop('vmax', None)
shading = kwargs.pop('shading', 'flat')
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args, **kwargs)
x = tri.x
y = tri.y
triangles = tri.get_masked_triangles()
# Vertices of triangles.
verts = np.concatenate((x[triangles][...,np.newaxis],
y[triangles][...,np.newaxis]), axis=2)
C = np.asarray(args[0])
if C.shape != x.shape:
raise ValueError('C array must have same length as triangulation x and'
' y arrays')
# Color values, one per triangle, mean of the 3 vertex color values.
C = C[triangles].mean(axis=1)
if shading == 'faceted':
edgecolors = (0,0,0,1),
linewidths = (0.25,)
else:
edgecolors = 'face'
linewidths = (1.0,)
kwargs.setdefault('edgecolors', edgecolors)
kwargs.setdefault('antialiaseds', (0,))
kwargs.setdefault('linewidths', linewidths)
collection = PolyCollection(verts, **kwargs)
collection.set_alpha(alpha)
collection.set_array(C)
if norm is not None: assert(isinstance(norm, Normalize))
collection.set_cmap(cmap)
collection.set_norm(norm)
if vmin is not None or vmax is not None:
collection.set_clim(vmin, vmax)
else:
collection.autoscale_None()
ax.grid(False)
minx = tri.x.min()
maxx = tri.x.max()
miny = tri.y.min()
maxy = tri.y.max()
corners = (minx, miny), (maxx, maxy)
ax.update_datalim( corners)
ax.autoscale_view()
ax.add_collection(collection)
return collection