学习笔记之Matplotlib

时间:2023-03-09 08:49:46
学习笔记之Matplotlib

Matplotlib: Python plotting — Matplotlib 2.2.2 documentation

  • https://matplotlib.org/
  • Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
  • Tutorials — Matplotlib 2.2.2 documentation
    • https://matplotlib.org/2.2.2/tutorials/index.html#
    • This page contains more in-depth guides for using Matplotlib. It is broken up into beginner, intermediate, and advanced sections, as well as sections covering specific topics.
  • The Pyplot API — Matplotlib 2.2.2 documentation
    • https://matplotlib.org/2.2.2/api/pyplot_summary.html
    • Below we describe several common approaches to plotting with Matplotlib.

matplotlib - Wikipedia

Matplotlib_百度百科

  • https://baike.baidu.com/item/Matplotlib/20436231?fr=aladdin
  • Matplotlib 是一个 Python 的 2D绘图库,它以各种硬拷贝格式和跨平台的交互式环境生成出版质量级别的图形。

Matplotlib tutorial

  • https://www.labri.fr/perso/nrougier/teaching/matplotlib/

Python 绘图库 Matplotlib 入门教程 - 数据分析与开发

  • https://mp.weixin.qq.com/s/W0Au3YpFhj-0P9b2N0P_CA
  • Matplotlib是一个Python语言的2D绘图库,它支持各种平台,并且功能强大,能够轻易绘制出各种专业的图像。本文是对它的一个入门教程。
  • 运行环境
  • 介绍
  • 入门代码示例
  • 一次绘制多个图形
  • 常用图形示例
    • 线性图
    • 散点图
    • 饼状图
    • 条形图
    • 直方图

这5小段代码轻松实现数据可视化(Python+Matplotlib)- 机器学习算法与Python学习

  • https://mp.weixin.qq.com/s/pA5XNYYjekJmXn5zWpwXFw
  • https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f
  • 本文要讲的是Matplotlib,一个强大的Python可视化库。一共5小段代码,轻松实现散点图、折线图、直方图、柱状图、箱线图,每段代码只有10行,也是再简单不过了吧!
  • 散点图
  • 折线图
  • 直方图
  • 柱状图
  • 箱线图

快速入门Matplotlib教程 - 机器学习算法与Python学习

  • https://mp.weixin.qq.com/s/_3nbbRkrAcQVuUyyjvWAVA
  • https://liam.page/2014/09/11/matplotlib-tutorial-zh-cn/

Why after calling plt.show() followed by plt.savefig() , the figure is blank ?
  • plt.show() should come after plt.savefig()