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[notcurses backend](https://github.com/jktr/matplotlib-backend-notcurses)\nmay also be of interest.\n\nTo install this one, do one of the following\n\n - `$ pip install --user matplotlib-backend-kitty`\n - clone this repo into your python's `site-packages` directory\n - clone this repo and add the parent directory to `sys.path` or `$PYTHONPATH`\n\nThen, configure matplotlib to use the module by either setting the\nenvironment variable `MPLBACKEND` to `module://matplotlib-backend-kitty`\nor by initializing matplotlib as follows.\n\n```python\nimport matplotlib\nmatplotlib.use('module://matplotlib-backend-kitty')\nimport matplotlib.pyplot as plt\n```\n\nIf you've installed this module correctly, you can now use\nthe following sample code to draw a plot in your terminal.\n\n```\n$ export MPLBACKEND='module://matplotlib-backend-kitty'\n$ python\n\u003e\u003e\u003e n = 10000\n\u003e\u003e\u003e df = pd.DataFrame({'x': np.random.randn(n),\n                       'y': np.random.randn(n)})\n\u003e\u003e\u003e df.plot.hexbin(x='x', y='y', gridsize=20)\n\u003cplot is shown\u003e\n```\n\nIf you set your matplotlib to interactive mode via\n`matplotlib.pyplot.ion()` or by running an interactive python\nshell like `python` or `ipython`, non-empty figures are drawn on\nconstruction where possible. This allows you to use pandas'\n`plot()` calls directly, without calling `plt.show()`, and still\nenables you to manually construct and `plt.show()`.\n\nIf your matplotlib is in non-interactive mode,\nyou can construct your figures as usual, and then call\n`plt.show()` to render them to your terminal. This\nworks both from scripts and from a repl.\n\nFigures are resized to the size of your terminal by default.\nIf you'd rather control the sizing of figures manually,\nset the `MPLBACKEND_KITTY_SIZING` environment variable to `manual`.\n\nInternally, this backend is somewhat based on matplotlib's\nIPython support: it's a hybrid of image and GUI backend types.\nIt works by using matplotlib's `Agg` backend to render the\nplot, and then calls kitty's `icat` to place the rendered\nimage on your terminal. This means that plotting works as\nexpected, but the image drawn to your terminal isn't\ninteractive and animations aren't supported.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjktr%2Fmatplotlib-backend-kitty","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjktr%2Fmatplotlib-backend-kitty","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjktr%2Fmatplotlib-backend-kitty/lists"}