How to add TreeMap and Pie Chart as Subplot?

Question

I am trying to add a PIE chart and Treemap as a subplot. Like below(Expected):-

As per squarify documentation , I was trying to pass axis object as ax parameter . However its not working. On passing axis object, the second plot is coming as empty.

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

I found the solution. Above code was almost correct expect 1 issue. Before Squerify's plot there was an statement to call show method. After Removing its working. Credit: @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()