如何將 TreeMap 和餅圖添加為子圖？

Question

我正在嘗試將 PIE 圖表和 Treemap 添加為子圖。 如下所示（預期）：-

根據squarify 文檔，我試圖將軸 object 作為 ax 參數傳遞。 但是它不起作用。 在經過軸 object 時，第二個 plot 將變為空。

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

我找到了解決方案。 上面的代碼幾乎是正確的，除了 1 個問題。 在 Squerify 的 plot 之前有一條語句調用 show 方法。 刪除其工作后。 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()