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  1. Learn how to plot y versus x as lines and/or markers using matplotlib.pyplot.plot function. See the parameters, format strings, keyword arguments and examples of this function.

    • Tutorials

      Tutorials#. This page contains a few tutorials for using...

    • Pyplot tutorial

      matplotlib.pyplot is a collection of functions that make...

  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. See examples of x and y coordinates, shortcut notation and default x-points.

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

  5. 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. The %matplotlib inline is a jupyter notebook specific command that let’s you see the plots in the notbook itself.

  6. Pyplot provides a number of tools to plot graphs, including the state-machine interface to the underlying object-oriented plotting library. Pylab is a convenience module that imports matplotlib.pyplot and NumPy in a single name space.

  7. 29 lis 2023 · Learn how to use Matplotlib.pyplot.plot() function to create 2D plots with various styles, markers, and colors. See examples of line plots, scatter plots, and multiple curves with code and output.

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