python中28种极坐标绘图函数总结

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(20)/2
y = x
fDct = {"plot" : plt.plot,  "stackplot": plt.stackplot,
        "stem" : plt.stem,  "scatter"  : plt.scatter,         
        "polar": plt.polar, "step"     : plt.step, 
        "bar"  : plt.bar,   "barh"     : plt.barh, }
fig = plt.figure(figsize=(14,6))
for i,key in enumerate(fDct, 1):
    ax = fig.add_subplot(2,4,i, projection="polar")
    fDct[key](x, y)
    plt.title(key)
plt.tight_layout()
plt.show()

x = np.arange(20)/2
y = x
y1, y2 = 0.9*y, 1.1*y
x1, x2 = 0.9*x, 1.1*x
xerr = np.abs([x1, x2])/10
yerr = np.abs([y1, y2])/10
fig = plt.figure(figsize=(12,4))
ax = fig.add_subplot(141, projection='polar')
ax.errorbar(x, y, yerr=yerr)
plt.title("errorbar with yerr")
ax = fig.add_subplot(142, projection='polar')
ax.errorbar(x, y, xerr=xerr)
plt.title("errorbar with xerr")
ax = fig.add_subplot(143, projection='polar')
ax.fill_between(x, y1, y2)
plt.title("fill_between")
ax = fig.add_subplot(144, projection='polar')
ax.fill_betweenx(y, x1, x2)
plt.title("fill_betweenx")
plt.tight_layout()
plt.show()

X, Y = np.indices([100,100])
X = X/100*np.pi*2
Y = Y/25 - 2
Z = (1 - np.sin(X) + np.cos(X)**5 + Y**3) * np.exp(-Y**2)
fDct = {"contour": plt.contour, "contourf":plt.contourf, 
    "pcolormesh" : plt.pcolormesh}
fig = plt.figure(figsize=(9,3))
for i,key in enumerate(fDct, 1):
    ax = fig.add_subplot(1,3,i, projection='polar')
    fDct[key](X,Y,Z)
    plt.title(key)
plt.tight_layout()
plt.show()

Y, X = np.indices([10,10])
X = X/10*np.pi*2.5
Y = Y
#Y, X = np.indices([6,6])/0.75 - 4
U = 6*np.sin(X) + Y
V = Y - 6*np.sin(X)
dct = {"quiver":plt.quiver, "streamplot":plt.streamplot, 
       "barbs" :plt.barbs}
fig = plt.figure(figsize=(12,4))
for i,key in enumerate(dct, 1):
    ax = fig.add_subplot(1,3,i,projection='polar')
    dct[key](X,Y,U,V)
    plt.title(key)
plt.tight_layout()
plt.show()

x = np.random.standard_normal(size=1000)
dct = {"hist"  : plt.hist, "violinplot" : plt.violinplot,
      "boxplot": plt.boxplot}
fig = plt.figure(figsize=(10,6))
for i,key in enumerate(dct, 1):
    ax = fig.add_subplot(2,3,i, projection='polar')
    dct[key](x)
    plt.title(key)
ax = fig.add_subplot(234, projection='polar')
ax.eventplot(x)
plt.title("eventplot")
x = np.random.randn(5000)
y = 1.2 * x + np.random.randn(5000) / 3
ax = fig.add_subplot(235, projection='polar')
ax.hist2d(x, y, bins=[np.arange(-3,3,0.1)] * 2)
plt.title("hist2d")
ax = fig.add_subplot(236, projection='polar')
ax.pie([1,2,3,4,5])
plt.title("pie")
plt.tight_layout()
plt.show()

x = np.random.uniform(0, np.pi*2, 256)
y = np.random.uniform(-2, 2, 256)
z = (1 - np.sin(x) + np.cos(x)**5 + y**3) * np.exp(-y**2)
levels = np.linspace(z.min(), z.max(), 7)
fig = plt.figure(figsize=(12,4))
ax = fig.add_subplot(141, projection='polar')
ax.plot(x, y, 'o', markersize=1, color='lightgrey', alpha=0.5)
ax.tricontour(x, y, z, levels=levels)
plt.title("tricontour")
ax = fig.add_subplot(142, projection='polar')
ax.plot(x, y, 'o', markersize=1, color='lightgrey', alpha=0.5)
ax.tricontourf(x, y, z, levels=levels)
plt.title("tricontourf")
ax = fig.add_subplot(143, projection='polar')
ax.plot(x, y, 'o', markersize=1, color='lightgrey', alpha=0.5)
ax.tripcolor(x, y, z)
plt.title("tripcolor")
ax = fig.add_subplot(144, projection='polar')
ax.triplot(x,y)
plt.title("triplot")
plt.tight_layout()
plt.show()