Finished product

First final product

Code

Figure 1 show

# Reset font size
proptease = fm.FontProperties()
proptease.set_size('xx-large')
# font size include: ‘xx-small’,x-small’,'small’,'medium’,‘ large’,‘x-large’,‘xx-large’ or number, e.g. '12'
labels = 'internal operator user', 'external user', 'external quick view collection user', 'external stripping collaborator', 'internal robot user'
sizes = [62, 4048, 88, 36, 168]
colors = cm.GnBu(np.arange(len(sizes)) / len(sizes))  # colormaps: Paired, autumn, rainbow, gray,spring,Darks

explode = (0, 0.2, 0, 0, 0)  # only "explode" the 2nd slice (i.e. 'Hogs')

fig, axes = plt.subplots(figsize=(10, 4), ncols=3)  # Set the size of the drawing area
ax1, ax2, ax3 = axes.ravel()

plt.subplot(1, 3, 1)
# plt.pie(sizes, explode=explode, labels=labels, colors=colors,
#         autopct='%1.1f%%', shadow=False, startangle=90)
patches, texts = ax1.pie(sizes, explode=explode, colors=colors,
                                     shadow=False, startangle=90)
# plt.setp(autotexts, fontproperties=proptease)

# Set aspect ratio to be equal so that pie is drawn as a circle.
plt.axis('equal')
ax3.axis('off')
ax3.legend(patches, labels, loc='center left')
plt.tight_layout()

sizes = [60, 4402, 92, 172, 0]  #-2, 354, 4, 136, -168 = 324 324 = a-f = 4726 - 4402 A = 4402 F = 4048
plt.subplot(1, 3, 2)
patches, texts= ax2.pie(sizes, explode=explode, colors=colors,
                                     shadow=False, startangle=90)
# plt.setp(autotexts, fontproperties=proptease)
# plt.setp(texts, fontproperties=proptease)
# Set aspect ratio to be equal so that pie is drawn as a circle.
plt.axis('equal')
plt.show()

Figure 2 show

# 2021-02-22 User Class

labels = 'Field discrete', 'Study', 'Fashin', 'Childrem', 'Sports', 'TV series', 'Living', 'Funny', 'Finance', 'News', 'Cars', 'Military', 'Parent-child', 'Documentory', 'Health', 'Gourment Food', \
         'Animals', 'Agriculture', 'Anime', 'Dance', 'Movies', 'Digital', 'Encyclopedia', 'Unboxing', 'Music', 'Variety Show', 'Stars', 'Game', 'Tourism'
sizes = [28, 8, 0, 432, 12, 156, 200, 232, 0, 72, 28, 28, 28, 0, 12, 212, 48, 48, 200, 12, 420, 16, 188, 680, 16, 48,
         12, 1668, 0]
colors = cm.GnBu(np.arange(len(sizes)) / len(sizes))  # colormaps: Paired, autumn, rainbow, gray,spring,Darks

explode = (0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0,
           0)  # only "explode" the 2nd slice (i.e. 'Hogs')

fig, axes = plt.subplots(figsize=(10, 4), ncols=3)  # Set the size of the drawing area
ax1, ax2, ax3 = axes.ravel()

plt.subplot(1, 3, 1)
patches, autotexts = ax1.pie(sizes, explode=explode, colors=colors,
                             shadow=False, startangle=90)

# Set aspect ratio to be equal so that pie is drawn as a circle.
plt.axis('equal')
ax3.axis('off')
ax3.legend(patches, labels, loc='center left')
plt.tight_layout()

sizes = [24, 4, 0, 540, 12, 164, 148, 284, 0, 76, 32, 32, 28, 4, 12, 236, 52, 48, 200, 12, 468, 12, 232, 756, 20, 52,
         12, 1712, 4]  # 372 Children 540-432 = 108 out of the box 756-680 = 76 5176 - 4804 = 372
plt.subplot(1, 3, 2)
patches, autotexts = ax2.pie(sizes, explode=explode, colors=colors, shadow=False, startangle=90)

# Set aspect ratio to be equal so that pie is drawn as a circle.
plt.axis('equal')
plt.show()

detailed analysis

First, declare that the percentage in the figure is marked is that I have been added with Visio later, not the code is done.
Before running the code, you need to guide the library, if you need to display the Chinese, you need to adjust the settings:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from matplotlib import font_manager as fm
from matplotlib import cm

plt.rcParams['font.sans-serif'] = ['SimHei']  #. Used to normalize Chinese label

Font size setting

proptease = fm.FontProperties()
proptease.set_size('xx-large')

Setting this part of the content can be adjusted on the text size displayed on the figure, for example, I am set up when drawingautopct='%1.1f%%', Automatically display the percentage in the pie chart, the size of the percentage can be set by the above line code.
The size that can be set includes:(xx-small, x-small, small, medium, large, x-large, xx-large, larger, smaller)

Set the tag value

labels = 'internal operator user', 'external user', 'external quick view collection user', 'external stripping collaborator', 'internal robot user'
sizes = [62, 4048, 88, 36, 168]

Enter the label and numerical value of the pie chart you want to draw.

Color setting

colors = cm.GnBu(np.arange(len(sizes)) / len(sizes))

This part sets the color of each module of the pie chart, you need to note that you don't need to set the color for each element, you can even join two colors, let these two colors circulate.
The method I used here is that the CM library, the gradient effect of the CM library is quite nice, I set up a given color for each element, the method is the code above. In addition to the blue gradient I use, you can also use:

Specific use can refer to other blogs:How to use CM library

highlight

explode = (0, 0.2, 0, 0, 0)

Explode is used to highlight the pie chart, the part separated from the figure is set by this code, set the second set to 0.2, indicating that the element in the second Label is separated, the greater the value, indicating the degree of separation Higher

Set the drawing area

fig, axes = plt.subplots(figsize=(10, 4), ncols=3)  # Set the size of the drawing area
ax1, ax2, ax3 = axes.ravel()

This section sets the drawing area because I contain three pictures, so set the above parameters.

Drawing of the first sub-figure

plt.subplot(1, 3, 1)
# plt.pie(sizes, explode=explode, labels=labels, colors=colors,
#         autopct='%1.1f%%', shadow=False, startangle=90)
patches, texts = ax1.pie(sizes, explode=explode, colors=colors,
                                     shadow=False, startangle=90)
# plt.setp(autotexts, fontproperties=proptease)

Nothing to say, Subplot draws multiple subgraphs, set to three
Parameters in PIE: Sizes indicates that the incoming parameters, expLode indicates whether there is highlighted display, colors represents color, shadow indicates whether to draw a functions, there is a shadow display (set to True is not good to see, Startangle means the first element started. Start location)

Here, I will assume that I will cancel other comments, and the code annotation of the drawing can be displayed, but it is not recommended, but it is difficult to adjust the size, aesthetic degree big discount

Set scale

plt.axis('equal')
ax3.axis('off')

The first line is X, Y axis scale, etc., enter this option in the pie chart, you can make the circle more like a circle
The second line is to close the coordinate axis
onaxisDetailed usage, reference

Location

ax3.legend(patches, labels, loc='center left')
plt.tight_layout()

Legend is primarily used to set the legendary content, where LOC is used to represent the specific location of the legend, and his optional parameters can be characters, or numbers, by default, 0, here choosing'center left', Detailed usage reference:Usage of loc in matplotlib-legend()-stack overflow
Tight_Layout automatically adjusts the sub-map parameters to fill it over the entire image area. Essentially is a simpler beautification of the entire picture

Last remember

plt.show()

This article has a lot of reference.Content.
Happy figure