Matplotlib - Guide to Create 6 Basic Charts | Python | Sunny Solanki | Jupyter Notebook
Matplotlib is a python library to create high-quality and publication-ready static data visualizations. In this tutorial, we have explained how to create 6 basic charts using matplotlib in Jupyter Notebook. Below is a list of chart types we covered in our tutorial.
1. Scatter Charts
2. Bar Charts
Horizontal Bar Chart
3. Line Charts
4. Step Charts
5. Pie Charts
Donut Chart
6. Histograms
Useful Matplotlib Tutorials:
Matplotlib.Pyplot - (https://coderzcolumn.com/tutorials/da...)
hvplot - How to Convert Static Pandas Python Plot (Matplotlib) to Interactive? (https://coderzcolumn.com/tutorials/da...)
Matplotlib Dashboard using Panel (https://coderzcolumn.com/tutorials/da...)
Matplotlib Dashboard using Streamlit (https://coderzcolumn.com/tutorials/da...)
Link Matplotlib Charts with Ipywidgets widgets (https://coderzcolumn.com/tutorials/da...)
How to show the connection line between the two charts in matplotlib? (https://coderzcolumn.com/tutorials/da...)
Important Chapters:
0:00 - Why Should You Learn Matplotlib?
2:27 - Load Datasets
5:14 - Scatter Plots
7:06 - Modify Chart Properties (Axes Labels, Title, etc)
17:12 - Bar Chart
21:42 - Horizontal Bar Chart
22:43 - Line Charts
27:48 - Step Charts
29:01 - Pie Charts
32:46 - Donut Chart
36:11 - Histograms
39:54 - Visit CoderzColumn to Learn More
Please feel free to visit CoderzColumn for more tutorials on Python.
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