如何添加TreeMap和Pie图作为子图？

Question

我想添加PIE图和TreeMap作为子图。如下图所示（预期）:-。

根据 扁平化文档, 我试图将轴对象作为ax参数来传递。. 然而，它不工作。在传递轴对象时，第二个图显示为空。

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
import squarify
# Fixing random state for reproducibility
np.random.seed(19680801)

dt = 0.01
t = np.arange(0, 10, dt)
nse = np.random.randn(len(t))
r = np.exp(-t / 0.05)

cnse = np.convolve(nse, r) * dt
cnse = cnse[:len(t)]
s = 0.1 * np.sin(2 * np.pi * t) + cnse

fig, (ax0, ax1) = plt.subplots(ncols=2, constrained_layout=True)
fig.set_figheight(7)
fig.set_figwidth(13)
#plt.subplot(211)


# Pie chart, where the slices will be ordered and plotted counter-clockwise:
labels = ['Frogs', 'Hogs']
sizes = [15, 30]
explode = (0, 0.1)  # only "explode" the 2nd slice (i.e. 'Hogs')


ax0.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
        shadow=True, startangle=90)
#plt.subplot(212)
#ax1.psd(s, 512, 1 / dt)

plt.show()



volume = [350, 220, 170, 150, 50]
labels = ['Liquid\n volume: 350k', 'Savoury\n volume: 220k', 'Sugar\n volume: 170k',
          'Frozen\n volume: 150k', 'Non-food\n volume: 50k']
color_list = ['#0f7216', '#b2790c', '#ffe9a3', '#f9d4d4', '#d35158', '#ea3033']

plt.rc('font', size=14)
squarify.plot(sizes=volume, label=labels,
              color=color_list, alpha=0.7)
plt.axis('off')

plt.show()

Answer 1

我找到了解决方案。上面的代码几乎是正确的，但是有一个问题。在Squerify的绘图之前，有一个调用show方法的语句。删除后，它的工作。信用。@JahanC

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec
import squarify
# Fixing random state for reproducibility
np.random.seed(19680801)

dt = 0.01
t = np.arange(0, 10, dt)
nse = np.random.randn(len(t))
r = np.exp(-t / 0.05)

cnse = np.convolve(nse, r) * dt
cnse = cnse[:len(t)]
s = 0.1 * np.sin(2 * np.pi * t) + cnse

fig, (ax0, ax1) = plt.subplots(ncols=2, constrained_layout=True)
fig.set_figheight(7)
fig.set_figwidth(13)
#plt.subplot(211)


# Pie chart, where the slices will be ordered and plotted counter-clockwise:
labels = ['Frogs', 'Hogs']
sizes = [15, 30]
explode = (0, 0.1)  # only "explode" the 2nd slice (i.e. 'Hogs')


ax0.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',
        shadow=True, startangle=90)
#plt.subplot(212)
#ax1.psd(s, 512, 1 / dt)




volume = [350, 220, 170, 150, 50]
labels = ['Liquid\n volume: 350k', 'Savoury\n volume: 220k', 'Sugar\n volume: 170k',
          'Frozen\n volume: 150k', 'Non-food\n volume: 50k']
color_list = ['#0f7216', '#b2790c', '#ffe9a3', '#f9d4d4', '#d35158', '#ea3033']

plt.rc('font', size=14)
squarify.plot(sizes=volume, label=labels, ax=ax1,
              color=color_list, alpha=0.7)
plt.axis('off')

plt.show()