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Matplotlib Full Python Course in One Hour| Data Analytics | Data Science Fundamentals
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This video provides a complete introduction to the Matplotlib library, a popular package for data visualization in Python. It explains how to create different types of plots (scatter plots, line charts, bar charts, histograms, pie charts, box plots, 3D plots), styling options, subplots, multiple figures, animations, and exporting. It also highlights the utility of data visualization in data science and machine learning.
Highlights
📈 Different Types of Plots: The video shows how to create and customize different types of plots like scatter plots, line charts, bar charts, histograms, pie charts, box plots, and 3D plots.
Styling and Customization: How to customize the plots with options like color, size, markers, transparency, title, labels, font, and legend are explained.
📊 Multiple Plots and Subplots: Methods for creating subplots and multiple figures to display multiple plots simultaneously in a single window are explained.
💾 Export: Method for exporting created plots as PNG images is shown, including options such as DPI and transparency.
Highlights
📈 Different Types of Plots: The video shows how to create and customize different types of plots like scatter plots, line charts, bar charts, histograms, pie charts, box plots, and 3D plots.
Styling and Customization: How to customize the plots with options like color, size, markers, transparency, title, labels, font, and legend are explained.
📊 Multiple Plots and Subplots: Methods for creating subplots and multiple figures to display multiple plots simultaneously in a single window are explained.
💾 Export: Method for exporting created plots as PNG images is shown, including options such as DPI and transparency.
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