Python uses Matplotlib to draw pie charts

1. Function prototype

plt.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6 , shadow=False, labeldistance=1.1, startangle=None, radius=None, counterclock=True, wedgeprops=None, textprops=None, center=(0, 0), frame=False)

Parameters:

x: Drawing data

explode: Specify the highlighted part of the pie chart and the protruding distance

colors: Specify the fill color of the pie chart

labels: Specify the label of each fragment, similar to the legend description

autopct: Automatically add percentage display, you can use formatting

pctdistance: Set the percentage label and circle center The distance

labeldistance: the distance between the label and the center of the pie

shadow: whether to add a shadow effect to the pie chart

startangle: set the initial placement angle of the pie chart

radius: The radius size of the pie chart

Counterclock: Whether to display the pie chart in counterclockwise order

wedgeprops: Set the inner and outer boundary properties of the pie chart

textprops: Set the Chinese language of the pie chart This attribute, such as font size, color, etc.

center: Specify the center position of the pie chart

frame: Whether to display the frame behind the pie chart

2. Use

1. Basic pie chart

import matplotlib.pyplot as plt

import numpy as py

fig = plt.figure()

labels =['vivo','meizu','huawei','apple']

values=[10,20,50,80] colors=['yellow','red','green','blue']

plt.pie(values, labels=labels,colors=colors,startangle=180,shadow=True)

plt.title('pip chart')

plt .show()

Optimization 1

Separate the sector proportions of each part by setting the explode parameter.

explode=[0.1,0.1,0.1,0.1]

Display the proportion of each sector by setting autopct

autopct=' %1.1f%%'

##Optimization 2

Set the canvas size and dpi

plt.figure(figsize=(6,8),dpi=200)

Add legend

##plt.legend(loc='upper left',bbox_to_anchor =(-0.1,1))

The pie chart obtained in this way is clearer and better able to illustrate the information described (it’s a bit big, don’t panic)

2. Draw an inline circular pie chart

Achieved by setting the wedgeprops parameters

##plt.pie(values,radius=1,pctdistance=0.9,colors=colors, wedgeprops=dict(width=0.3,edgecolor="w"),autopct='%1.1f%%') plt.pie(values,radius=0.7,colors=colors,pctdistance=0.7,startangle=180,wedgeprops=dict (width=0.3,edgecolor="w"),autopct='%1.1f%%')

##Related free learning recommendations ：

python video tutorial

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