Note
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Scatter plot on polar axis¶
Size increases radially in this example and color increases with angle (just to verify the symbols are being scattered correctly).
import numpy as np
import matplotlib.pyplot as plt
# Fixing random state for reproducibility
np.random.seed(19680801)
# Compute areas and colors
N = 150
r = 2 * np.random.rand(N)
theta = 2 * np.pi * np.random.rand(N)
area = 200 * r**2
colors = theta
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
![polar scatter](../../_images/sphx_glr_polar_scatter_001.png)
Scatter plot on polar axis, with offset origin¶
The main difference with the previous plot is the configuration of the origin radius, producing an annulus. Additionally, the theta zero location is set to rotate the plot.
fig = plt.figure()
ax = fig.add_subplot(111, polar=True)
c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
ax.set_rorigin(-2.5)
ax.set_theta_zero_location('W', offset=10)
![polar scatter](../../_images/sphx_glr_polar_scatter_002.png)
Scatter plot on polar axis confined to a sector¶
The main difference with the previous plots is the configuration of the theta start and end limits, producing a sector instead of a full circle.
fig = plt.figure()
ax = fig.add_subplot(111, polar=True)
c = ax.scatter(theta, r, c=colors, s=area, cmap='hsv', alpha=0.75)
ax.set_thetamin(45)
ax.set_thetamax(135)
plt.show()
![polar scatter](../../_images/sphx_glr_polar_scatter_003.png)
References¶
The use of the following functions, methods, classes and modules is shown in this example:
import matplotlib
matplotlib.axes.Axes.scatter
matplotlib.pyplot.scatter
matplotlib.projections.polar
matplotlib.projections.polar.PolarAxes.set_rorigin
matplotlib.projections.polar.PolarAxes.set_theta_zero_location
matplotlib.projections.polar.PolarAxes.set_thetamin
matplotlib.projections.polar.PolarAxes.set_thetamax
Out:
<function PolarAxes.set_thetamax at 0x7fcc16380dc0>
Total running time of the script: ( 0 minutes 1.443 seconds)
Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery