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  1. Use the Matplotlib library to create charts. Open a folder. Upload files. + Code. + Markdown. Python. import matplotlib.pyplot as plt. plt.plot( [1, 2, 3, 4, 5], [6, 7, 8, 9, 10])

  2. Online Matplotlib Compiler (Version Matplotlib 3.7.0) to Edit, Run, and Share your Matplotlib Code online directly from your browser. This Online Compiler provides you the comfort to edit and compile your Matplotlib code using latest version Matplotlib 3.7.0.

  3. Free online matplotlib compiler. Create matplotlib plots in your browser using python. Import data directly from spreasheets. Rich code editor with vim and emacs modes available.

  4. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

  5. 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.

  6. 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.

  7. www.w3schools.com › python › trypythonW3Schools Tryit Editor

    Privacy policy and Copyright 1999-2024. #Three lines to make our compiler able to draw: import sys import matplotlib matplotlib.use ('Agg') import matplotlib.pyplot as plt import numpy as np xpoints = np.array ( [1, 8]) ypoints = np.array ( [3, 10]) plt.plot (xpoints, ypoints) plt.show () #Two lines to make our compiler able to ...

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