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Matplotlib - Guide to Create 6 Basic Charts | Python | Sunny Solanki | Jupyter Notebook
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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:
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.
Social:
#python #datavisualization #dataviz #matplotlib #charts #static #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial
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:
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.
Social:
#python #datavisualization #dataviz #matplotlib #charts #static #datascience #datasciencetutorial #python #pythonprogramming #pythoncode #pythontutorial
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