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我有一個特定部分的極座標圖,我想以紅色完全着色(它是在兩條紅線之間標記的部分)是否有函數將顏色部分或者是有可能使用補丁集合獲得了堅實的環區Python:將環形扇區或楔形圖添加到極地圖
這裏是我的腳本:??
from pylab import *
import matplotlib.pyplot as plt
import numpy as np
import pylab
from matplotlib.projections import PolarAxes
###############################################################################
###############################################################################
fig = figure()
ax = fig.add_subplot(111, projection = 'polar')
subplot(111,projection='polar')
theta = arange(1000)*2*pi/1000.
plot(theta,0.25*ones(1000),'m') #A to B Circle
plot(theta, 0.65*ones(1000), 'm') # B to C Circle
plot([0, 0],[0.25,0.65],'m') # A to B 0 degrees line
plot([pi/4.,pi/4.],[0.25, 0.65], 'm') # A to B 45 degrees line
plot([pi/2, pi/2.],[0.25, 0.65], 'm') # A to B 90 degrees line
plot([3*pi/4.,3*pi/4],[0.25, 0.65], 'm') # A to B 135 degrees line
plot([pi,pi],[0.25,0.65],'m') # A to B 180 degrees line
plot([5*pi/4,5*pi/4],[0.25, 0.65], 'm') # A to B 225 degrees line
plot([3*pi/2,3*pi/2],[0.25, 0.65], 'm') # A to B 270 degrees line
plot([7*pi/4,7*pi/4],[0.25, 0.65], 'm') # A to B 315 degrees line
plot([2*pi,2*pi],[0.25,0.65],'m') # A to B 360 degrees line
plot([0, 0],[0.65,1],'m') # B to C 0 degrees line
plot([pi/6,pi/6],[0.65, 1], 'm') # B to C 30 degrees line
plot([pi/3,pi/3.],[0.65,1], 'm') # B to C 60 degrees line
plot([pi/2,pi/2],[0.65,1], 'm') # B to C 90 degrees line
plot([2*pi/3,2*pi/3],[0.65,1],'m') # B to C 120 degrees line
plot([5*pi/6,5*pi/6],[0.65,1], 'm') # B to C 150 degrees line
plot([pi,pi],[0.65,1], 'm') # B to C 180 degrees line
plot([7*pi/6,7*pi/6],[0.65,1], 'm') # B to C 210 degrees line
plot([4*pi/3,4*pi/3],[0.65,1],'r', linewidth = 5) # B to C 240 degrees line
plot([3*pi/2,3*pi/2],[0.65,1], 'r', linewidth = 5) # B to C 270 degrees line
plot([5*pi/3,5*pi/3],[0.65, 1], 'm') # B to C 300 degrees line
plot([11*pi/6,11*pi/6],[0.65,1], 'm') # B to C 330 degrees line
plot([2*pi,2*pi],[0.65,1],'m') # B to C 360 degrees line
#patches = [Wedge((0,0), 1, 4*pi/3, 3*pi/2)]
#p = PatchCollection(patches)
#ax.add_collection(p)
rgrids((1,1),('',''))
ax.set_theta_zero_location("N")
ax.set_theta_direction('clockwise')
show()