如何在一幅图中显示不同缩放轴的多个雷达图？

Question

我想在一个窗口中使用matplotlib显示两个极坐标图。这是使用子图实现的。每个子图都使用this解决方案创建。

雷达类处理单个雷达图表的创建：然后将两个图是使用this溶液合并

class Radar: 

    def __init__(self, fig, titles, labels, ylimit, lines, rect=None): 

     if rect is None: 
      rect = [0.2, 0.2, 0.6, 0.6] 

     self.n = len(titles) 
     self.angles = np.arange(90, 90 + 360, 360.0/self.n) 
     self.axes = [fig.add_axes(rect, projection="polar", label="axes%d" % i) for i in range(self.n)] 

     self.ax = self.axes[0] 
     self.ax.set_thetagrids(self.angles, labels=titles, fontsize=14) 

     for ax in self.axes[1:]: 
     ax.patch.set_visible(False) 
     ax.grid("off") 
     ax.xaxis.set_visible(False) 

    for ax, angle, label in zip(self.axes, self.angles, labels): 
     ax.set_rgrids(lines, angle=angle, labels=label) 
     ax.spines["polar"].set_visible(False) 
     ax.set_ylim(ylimit[0], ylimit[1]) 

    def plot(self, values, *args, **kw): 
     angle = np.deg2rad(np.r_[self.angles, self.angles[0]]) 
     values = np.r_[values, values[0]] 
     return self.ax.plot(angle, values, *args, **kw) 

下面的代码，以便用于创建两个雷达图表和将它们添加到一个图：

import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.pyplot import Line2D 

fig1 = plt.figure(figsize=(9, 9)) 
plt.ioff() 

############################# 
# first radar chart 
############################# 

titles = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'] 
lbl_count = 7 
upper_bound = 70 
values = [0, 10, 40, 30, 20, 50, 30, 40] 
labels1 = np.tile(np.arange(-60 + upper_bound/lbl_count, 20, upper_bound/lbl_count), (8, 1)) 

lines1 = np.arange(10, upper_bound, 10) 
radar1 = Radar(fig1, titles, labels1, (0, upper_bound), lines1) 
plt1 = radar1.plot(values, "-", lw=2, color="b", alpha=0.4, label="Fitness") # type: List[Line2D] 

############################# 
# second radar chart 
############################# 

fig2 = plt.figure(figsize=(9, 9)) 

values = [0.4, 0.7, 0.2, 0.1, 0.8, 0.3, 0.5, 0.7] 
lbl_count = 5 
labels2 = [list("12345"), [0.1, 0.2, 0.3, 0.4, 0.5], list("54321"), [10, 8, 6, 4, 2], list("12345"), list("12345"), list("12345"), list("12345")] 

lines2 = np.arange(0.2, 1.2, 0.2) 
radar2 = Radar(fig2, titles, labels2, (0, 1), lines2) 
plt2 = radar2.plot(values, "-", lw=2, color="b", alpha=0.4, label="Values") 
plt3 = radar2.plot([0.1, 0.2, 0.5, 0.2, 0.1, 0.7, 0.4, 0.2], "-", lw=2, color="r", alpha=0.4, label="Critical Thresholds") 


############################# 
# combine radar charts 
############################# 

fig3, (ax1, ax2) = plt.subplots(1, 2, subplot_kw=dict(projection='polar'), figsize=(25, 15)) 

line1, = ax1.plot(plt1[0].get_xdata(), plt1[0].get_ydata(), 'g-', label="Fitness") 
line2, = ax2.plot(plt2[0].get_xdata(), plt2[0].get_ydata(), 'b-', label="Values") 
line3, = ax2.plot(plt3[0].get_xdata(), plt3[0].get_ydata(), 'r-', label="Critical Thresholds") 

ax1.set_ylim(0, 80) 
ax2.set_ylim(0, 1) 

plt.tight_layout() 
plt.show() 
plt.close() 

两个数字组合之后，用不同的比例的标签都消失（图1和2是所希望的结果，而将合并的图3中缺少一些标贴）

如何添加缺少的标签？

Answer 1

如果您想从其功能中受益，则需要实际使用雷达类。

fig3 = plt.figure(figsize=(13, 8)) 

titles = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'] 

### first subplot: 
lbl_count = 7 
upper_bound = 70 
values = [0, 10, 40, 30, 20, 50, 30, 40] 
labels1 = np.tile(np.arange(-60 + upper_bound/lbl_count, 20, upper_bound/lbl_count), (8, 1)) 

lines1 = np.arange(10, upper_bound, 10) 
radar1 = Radar(fig3, titles, labels1, (0, upper_bound), lines1, rect=[0.55,0.1,0.35,0.8]) 
plt1 = radar1.plot(values, "-", lw=2, color="b", alpha=0.4, label="Fitness") 

### second subplot: 
values = [0.4, 0.7, 0.2, 0.1, 0.8, 0.3, 0.5, 0.7] 
lbl_count = 5 
labels2 = [list("12345"), [0.1, 0.2, 0.3, 0.4, 0.5], list("54321"), [10, 8, 6, 4, 2], list("12345"), list("12345"), list("12345"), list("12345")] 

lines2 = np.arange(0.2, 1.2, 0.2) 
radar2 = Radar(fig3, titles, labels2, (0, 1), lines2, rect=[0.1,0.1,0.35,0.8]) 
plt2 = radar2.plot(values, "-", lw=2, color="b", alpha=0.4, label="Values") 
plt3 = radar2.plot([0.1, 0.2, 0.5, 0.2, 0.1, 0.7, 0.4, 0.2], "-", lw=2, color="r", alpha=0.4, label="Critical Thresholds") 

plt.show()