How to plot various things with matplotlib from python | Week 7
How to plot various things with the matplotlib from python | Week 8
In this video, we explore how to create several fundamental plots using the Matplotlib library. Through a simple Python program, we demonstrate how different types of graphs can be generated and customized.
You will learn how to create:
• Line plots
• Scatter plots
• Bar charts
• Histogram
• Pie chart
• Box plot
• Heatmap
• Contour plot
• 3D surface
• Polar plot
• Fill between courbes
• Step plots
Each visualization is implemented in Python and explained clearly so you can easily reproduce and modify the code for your own projects.
The GitHub link is in the video.
These types of plots are widely used in:
Data science
Scientific computing
Machine learning
Statistics
Engineering
This video is perfect for beginners learning Python visualization as well as students who want a practical introduction to Matplotlib and also professional to retrieve some useful functions for their plots.
💻 Source Code
You can find the full Python program used in this video on GitHub:
🔗 GitHub Repository:
https://github.com/mrtest749343-cloud/Week...
Feel free to clone the project, experiment with the code, and adapt it to your own data visualization needs.
⏱️ Video Chapters
00:00 Introduction
00:41 Line Plot
01:12 Scatter Plot
01:41 Bar Chart
02:11 Histogram
02:51 Pie chart
03:34 Box plot
04:08 Heatmap
04:49 Contour plot
05:32 3D surface
05:56 Polar plot
06:23 Fill between
06:50 Step plot
🛠 Requirements
Python 3
Matplotlib
numpy
Install them with:
pip install numpy, matplotlib
📌 Hashtags
#Python
#Matplotlib
#DataVisualization
#PythonProgramming
#LearnPython
#DataScience
#Coding
#PythonTutorial
#Plotting
#Programming
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