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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.

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      Matplotlib is a comprehensive library for creating static,...

    • Linear Plot Using matplotlib.pyplot
    • Linear Plot with Line Formatting
    • Scatter Plot with Color Mapping

    In this example code uses Matplotlib to plot the per capita electricity consumption of India and Bangladesh from 1972 to 2012. Two lines represent the countries, with different colors. The plot includes axis labels, a title, and a legend for clarity. Output :

    In this example we will plot the same plot but with a variation in the lines plotted. We can use dashed line or a line with markers. Output:

    In this example Python code uses Matplotlib and NumPy to generate a scatter plot with random data. The `x` and `y` arrays represent the coordinates, and the `colors` array provides color values. The plot includes a color mapping using the ‘viridis’ colormap, a color bar for reference, and axis labels. Finally, the plot is displayed using `plt.show(...

  2. matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI manager. pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:

  3. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.

  4. Pyplot. Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias: import matplotlib.pyplot as plt. Now the Pyplot package can be referred to as plt.

  5. 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.

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  7. May 30, 2023 · Matplotlib is a popular data visualization library in Python. It's often used for creating static, interactive, and animated visualizations in Python. Matplotlib allows you to generate plots, histograms, bar charts, scatter plots, etc., with just a few lines of code.

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