【Python】Jupyter Matplotlib Basic Usage

@Dai2025-03-02 9:57

Matplotlib

[Matplotlib Introduction](#Matplotlib Introduction)
[1. install matplotlib](#1. install matplotlib)
[2. run jupyter notebook](#2. run jupyter notebook)
[3. run a demo](#3. run a demo)
[4. try](#4. try)

Matplotlib Introduction

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations.

Document

1. install matplotlib

bash 复制代码

conda install matplotlib

2. run jupyter notebook

bash 复制代码

jupyter notebook

8888 port

new a python file

3. run a demo

Matplotlab Demo

4. try

python 复制代码

import matplotlib.pyplot as plt # 导入pyplot，别名为plt

data = {'apple': 10, 'orange': 15, 'lemon': 5, 'lime': 20} # 字典
names = list(data.keys()) # 取出字典的key值（数组），对应x轴坐标的值
values = list(data.values()) # 去除字典的value值（数组），对于y轴坐标的值

# subplots用于创建一个图像和一组子图
# 1行3列，3个子图，figsize设置图的宽高，sharey共享y轴
fig, axs = plt.subplots(1, 3, figsize=(9, 3), sharey=True)
# 第一个图
axs[0].bar(names, values) # bar绘制柱状图
# 第二个图
axs[1].scatter(names, values) # scatter绘制散点图
# 第三个图
axs[2].plot(names, values) # plot绘制折线图
fig.suptitle('Categorical Plotting') # suptitle添加标题

Success!

like Echarts, u need more configuration to beauty chart.

print("成大事者，不拘小节")