极坐标图旁边的垂直轴

Question

任何人都可以引导我如何使用matplotlib将垂直轴放在极坐标图旁边？

引用http://www.originlab.com/doc/Origin-Help/Polar-Graph的一个例子，得到期望的结果。

如该图所示，在左边是在我的极坐标图所希望的垂直条，我想在matplotlib重现：

编辑：这是我希望的代码的一个例子将垂直轴添加到。

import matplotlib.pyplot as plt 
import numpy as np 

def sin_func(array): 
    final = np.array([]) 
    for value in array: 
     final = np.append(final, abs(np.sin(value))) 
    return final 

x = np.arange(0, 4*np.pi, 0.1) 
y = sin_func(x) 

fig = plt.figure() 
ax = fig.add_subplot(111, projection='polar') 

plt.plot(x, y) 
# Changing axis to pi scale 
ax.set_ylim([0, 1.2]) 
x_tick = np.arange(0, 2, 0.25) 
x_label = [r"$" + format(r, '.2g') + r"\pi$" for r in x_tick] 
ax.set_xticks(x_tick*np.pi) 
ax.set_xticklabels(x_label, fontsize=10) 
ax.set_rlabel_position(110) 

plt.show() 

Answer 1

添加额外的轴与位置你想add_axes方法，然后设置刻度位置和标签，只要你想：

import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.ticker import AutoMinorLocator 

def sin_func(array): 
    final = np.array([]) 
    for value in array: 
     final = np.append(final, abs(np.sin(value))) 
    return final 

x = np.arange(0, 4*np.pi, 0.1) 
y = sin_func(x) 

fig = plt.figure() 
ax = fig.add_subplot(111, projection='polar') 

plt.plot(x, y) 

# Changing axis to pi scale 
ax.set_ylim([0, 1.2]) 
x_tick = np.arange(0, 2, 0.25) 
x_label = [r"$" + format(r, '.2g') + r"\pi$" for r in x_tick] 
ax.set_xticks(x_tick*np.pi) 
ax.set_xticklabels(x_label, fontsize=10) 
ax.set_rlabel_position(110) 

# Add Cartesian axes 
ax2 = fig.add_axes((.1,.1,.0,.8)) 
ax2.xaxis.set_visible(False) # hide x axis 
ax2.set_yticks(np.linspace(0,1,7)) # set new tick positions 
ax2.set_yticklabels(['60 %','40 %', '20 %', '0 %', '20 %', '40 %', '60 %']) 
ax2.yaxis.set_minor_locator(AutoMinorLocator(2)) # set minor tick for every second tick 

plt.show()