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  1. Online Matplotlib Compiler. 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]) plt.show()

  2. Run and share your Matplotlib code online using the latest version 3.7.0. Edit, save, and execute your program from the browser without installing anything.

  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.

  5. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Learn how to use Matplotlib, explore examples, reference, cheat sheets, documentation, and community resources.

  6. Install using pip: pip install matplotlib. Install using conda: conda install -c conda-forge matplotlib. Further details are available in the Installation Guide.

  7. Create high-quality plots using Python's matplotlib library in your browser with Pyodide, a Python interpreter compiled to WebAssembly. No installation or internet connection required, just import data from spreadsheets and use a rich code editor.

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