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Matplotlib for Python Developers
Diving into Matplotlib
The Course Overview
Understanding Data, Dimensionality, and Why We Plot
Setting Up Your Environment
Beginning with the Most Basic Plots
Basic Plotting Functions
Differentiating Line and Scatter Plots
Constructing Bar Plots and Histograms
Exploring Images and Contours
Working on Plots with Uncertainties
Looking at Other Useful Plot Types
Making Multiple Panel Plots
Using Color Bars and Legends
Axes and Figures – Plot Scaffolding
Workingwith the Components of a Matplotlib Plot
Figure and Axes – How Do They Work?
Working with Transformations
Controlling Axes and Ticks
Ticker Formatting
Working on Back Ends
Jupyter and Pandas – Matplotlib’s Best Friends
The Jupyter Notebook
Using Pandas to Manipulate Tabular Data
Slicing and Dicing Pandas Data
Pandas Built-in Plotting
The Jupyter Notebook
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