27 lines
1.2 KiB
Markdown
27 lines
1.2 KiB
Markdown
|
# Python 101-Python 和 Matplotlib 绘图简介(视频)
|
||
|
|
|
||
|
|
> 原文：<https://www.blog.pythonlibrary.org/2022/04/14/python-101-intro-to-graphing-with-python-and-matplotlib-video/>
|
||
|
|
|
||
|
|
Python 有许多可用的数据可视化包。其中最流行的是 Matplotlib。
|
||
|
|
|
||
|
|
在本视频教程中，我们将学习以下主题:
|
||
|
|
|
||
|
|
* 用 PyPlot 创建简单的折线图
|
||
|
|
* 创建条形图
|
||
|
|
* 创建饼图
|
||
|
|
* 添加标签
|
||
|
|
* Adding Titles to Plots
|
||
|
|
* Creating a Legend
|
||
|
|
* Showing Multiple Figures
|
||
|
|
|
||
|
|
[https://www.youtube.com/embed/7dXMSVLK44A?feature=oembed](https://www.youtube.com/embed/7dXMSVLK44A?feature=oembed)
|
||
|
|
|
||
|
|
## 相关文章
|
||
|
|
|
||
|
|
* Matplotlib - [用 Python 创建图形的介绍](https://www.blog.pythonlibrary.org/2021/09/07/matplotlib-an-intro-to-creating-graphs-with-python/)
|
||
|
|
|
||
|
|
* [用 Python 和 GooPyCharts 创建图表](https://www.blog.pythonlibrary.org/2016/10/26/creating-graphs-with-python-and-goopycharts/)
|
||
|
|
|
||
|
|
* [通过 Plotly 和 Python 在线绘制数据](https://www.blog.pythonlibrary.org/2014/10/27/plotting-data-online-via-plotly-and-python/)
|
||
|
|
|
||
|
|
* wxPython:[py plot-Graphs with Python](https://www.blog.pythonlibrary.org/2010/09/27/wxpython-pyplot-graphs-with-python/)
|