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  1. Learn how to plot y versus x as lines and/or markers using matplotlib.pyplot.plot function. See the format string, data parameter, keyword arguments and Line2D properties for customizing the plot style and appearance.

  2. Learn how to use matplotlib.pyplot, a collection of functions that make matplotlib work like MATLAB, to create and format plots. See examples of plotting with lists, arrays, keyword strings, categorical variables, and line properties.

  3. Learn how to use the plot() function to draw points, lines and markers in a diagram with matplotlib. See examples of x and y coordinates, marker styles and default x-points.

  4. Learn how to create production-quality graphics with Python's matplotlib library, a powerful and comprehensive tool for data visualization. This tutorial covers the basics, the object hierarchy, the stateful and stateless approaches, and more.

  5. Matplotlib graphs your data on Figure s (e.g., windows, Jupyter widgets, etc.), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc.).

  6. 21 Μαρ 2023 · Learn how to use Matplotlib and Seaborn to plot functions in Python, customize plot appearance, and export your plots. See examples of defining, plotting, and labeling functions with Matplotlib and Seaborn.

  7. The following piece of code is found in pretty much any python code that has matplotlib plots. import matplotlib.pyplot as plt. %matplotlib inline. matplotlib.pyplot is usually imported as plt. It is the core object that contains the methods to create all sorts of charts and features in a plot.

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