e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
47 lines
1.4 KiB
Python
Executable file
47 lines
1.4 KiB
Python
Executable file
"""
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This example shows how to use a path patch to draw a bunch of
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rectangles. The technique of using lots of Rectangle instances, or
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the faster method of using PolyCollections, were implemented before we
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had proper paths with moveto/lineto, closepoly etc in mpl. Now that
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we have them, we can draw collections of regularly shaped objects with
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homogeous properties more efficiently with a PathCollection. This
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example makes a histogram -- its more work to set up the vertex arrays
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at the outset, but it should be much faster for large numbers of
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objects
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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import matplotlib.path as path
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fig = plt.figure()
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ax = fig.add_subplot(111)
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# histogram our data with numpy
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data = np.random.randn(1000)
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n, bins = np.histogram(data, 50)
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# get the corners of the rectangles for the histogram
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left = np.array(bins[:-1])
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right = np.array(bins[1:])
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bottom = np.zeros(len(left))
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top = bottom + n
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# we need a (numrects x numsides x 2) numpy array for the path helper
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# function to build a compound path
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XY = np.array([[left,left,right,right], [bottom,top,top,bottom]]).T
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# get the Path object
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barpath = path.Path.make_compound_path_from_polys(XY)
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# make a patch out of it
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patch = patches.PathPatch(barpath, facecolor='blue', edgecolor='gray', alpha=0.8)
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ax.add_patch(patch)
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# update the view limits
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ax.set_xlim(left[0], right[-1])
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ax.set_ylim(bottom.min(), top.max())
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plt.show()
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