Table of Contents
Set x,y axis
Draw a single point graph
scatter function draws a single point graph
Draw a series of points
Draw the color map
Home Backend Development Python Tutorial Introduction to the usage of matplotlib library in Python

Introduction to the usage of matplotlib library in Python

Oct 24, 2018 pm 05:11 PM
python

This article brings you an introduction to the usage of the matplotlib library in Python. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

Introduction

The matplotlib library is a 2D drawing library in Python.

Installation

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$ pip install matplotlib

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Getting started

Drawing a line chart

pyplot function to draw a line chart

Here is a line chart of months and temperature :

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import matplotlib.pyplot as plt

 

x_month = [3,4,5,6,7,8,9]

y_temperature = [18,24,27,30,35,37,31]

plt.plot(x_month,y_temperature)

plt.show()

# plt.savefig('xxx.png') # 保存图标函数

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Import the pyplot module here and name it plt.
show() is used to display pictures. savefig() is used to save pictures.

Set x,y axis

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import matplotlib.pyplot as plt

 

x_month = [1,2,3,4,5,6,7,8]

y_temperature = [11,22,23,43,20,23,42,42]

plt.plot(x_month,y_temperature,linewidth=5) # linewidth定义折线宽度

plt.title("This is Title")  # 标题

plt.xlabel("month",fontsize=14) # x轴

plt.ylabel("temperature",fontsize=14) # y轴

plt.tick_params(axis='both',labelsize=14) # 影响xy刻度的函数

plt.show() # 展示

# plt.savefig('xxx.png') # 保存图标函数

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fontsize is used to set the font size of each axis.

Draw a single point graph

scatter function draws a single point graph

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import matplotlib.pyplot as plt

 

plt.scatter(1,8,s=50,c='red'

plt.show()

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Parameterss sets the size of the points used when drawing graphics. cThe color of the parameter setting point can also be specified through RDB: c=(0,0,0.8)

Draw a series of points

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import matplotlib.pyplot as plt

x_values = list(range(1001))

y_values = [x**2 for x in x_values]

plt.scatter(x_values,y_values,s=40,edgecolors='none') # edgecolors参数用于去除外轮廓

plt.show()

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edgecolors can specify white or black, etc.

Draw the color map

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import matplotlib.pyplot as plt

 

 

x_values = list(range(1001))

y_values = [x**2 for x in x_values]

plt.scatter(x_values,y_values,s=40,edgecolors='none',c=y_values,cmap=plt.cm.Blues)

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Pass the y_values ​​parameter into c, and use cmap to tell the function which color to use for mapping.

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