8000 Simplify scatter_piecharts example. by anntzer · Pull Request #14110 · matplotlib/matplotlib · GitHub
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Simplify scatter_piecharts example. #14110

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May 1, 2019
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Simplify scatter_piecharts example. #14110

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33 changes: 14 additions & 19 deletions examples/lines_bars_and_markers/scatter_piecharts.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

This example makes custom 'pie charts' as the markers for a scatter plot.

Thanks to Manuel Metz for the example
Thanks to Manuel Metz for the example.
"""

import numpy as np
Expand All @@ -19,31 +19,26 @@
sizes = np.array([60, 80, 120])

# calculate the points of the first pie marker
#
# these are just the origin (0,0) +
# some points on a circle cos,sin
x = [0] + np.cos(np.linspace(0, 2 * np.pi * r1, 10)).tolist()
y = [0] + np.sin(np.linspace(0, 2 * np.pi * r1, 10)).tolist()
xy1 = np.column_stack([x, y])
# these are just the origin (0,0) + some points on a circle cos,sin
x1 = np.cos(2 * np.pi * np.linspace(0, r1))
y1 = np.sin(2 * np.pi * np.linspace(0, r1))
xy1 = np.row_stack([[0, 0], np.column_stack([x1, y1])])
s1 = np.abs(xy1).max()

x = [0] + np.cos(np.linspace(2 * np.pi * r1, 2 * np.pi * r2, 10)).tolist()
y = [0] + np.sin(np.linspace(2 * np.pi * r1, 2 * np.pi * r2, 10)).tolist()
xy2 = np.column_stack([x, y])
x2 = np.cos(2 * np.pi * np.linspace(r1, r2))
y2 = np.sin(2 * np.pi * np.linspace(r1, r2))
xy2 = np.row_stack([[0, 0], np.column_stack([x2, y2])])
s2 = np.abs(xy2).max()

x = [0] + np.cos(np.linspace(2 * np.pi * r2, 2 * np.pi, 10)).tolist()
y = [0] + np.sin(np.linspace(2 * np.pi * r2, 2 * np.pi, 10)).tolist()
xy3 = np.column_stack([x, y])
x3 = np.cos(2 * np.pi * np.linspace(r2, 1))
y3 = np.sin(2 * np.pi * np.linspace(r2, 1))
xy3 = np.row_stack([[0, 0], np.column_stack([x3, y3])])
s3 = np.abs(xy3).max()

fig, ax = plt.subplots()
ax.scatter(range(3), range(3), marker=xy1,
s=s1 ** 2 * sizes, facecolor='blue')
ax.scatter(range(3), range(3), marker=xy2,
s=s2 ** 2 * sizes, facecolor='green')
ax.scatter(range(3), range(3), marker=xy3,
s=s3 ** 2 * sizes, facecolor='red')
ax.scatter(range(3), range(3), marker=xy1, s=s1**2 * sizes, facecolor='blue')
ax.scatter(range(3), range(3), marker=xy2, s=s2**2 * sizes, facecolor='green')
ax.scatter(range(3), range(3), marker=xy3, s=s3**2 * sizes, facecolor='red')

plt.show()

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