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  1. matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.

  2. Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.

  3. Plotting x and y points. The plot() function is used to draw points (markers) in a diagram. By default, the plot() function draws a line from point to point. The function takes parameters for specifying points in the diagram.

  4. matplotlib.pyplot.plot# matplotlib.pyplot. plot (* args, scalex = True, scaley = True, data = None, ** kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

  5. Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Learn Matplotlib from the ground up in the Quick-start guide. On this page. Installation quick-start. Draw a first plot. Where to go next.

  6. 21 mar 2023 · Welcome to this comprehensive tutorial on data visualization using Matplotlib and Seaborn in Python. By working through this tutorial, you will learn to plot functions using Python, customize plot appearance, and export your plots for sharing with others.

  7. 30 maj 2023 · This tutorial demonstrates how to use Matplotlib, a powerful data visualization library in Python, to create line, bar, and scatter plots with stock market data.

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