https://github.com/jktr/matplotlib-backend-kitty

show matplotlib plots directly in your kitty terminal
https://github.com/jktr/matplotlib-backend-kitty

icat kitty-terminal matplotlib

Last synced: 4 months ago
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show matplotlib plots directly in your kitty terminal

• Host: GitHub
• URL: https://github.com/jktr/matplotlib-backend-kitty
• Owner: jktr
• License: cc0-1.0
• Created: 2019-12-04T21:32:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-09-08T08:46:57.000Z (10 months ago)
• Last Synced: 2024-02-16T15:52:38.707Z (4 months ago)
• Topics: icat, kitty-terminal, matplotlib
• Language: Python
• Size: 31.3 KB
• Stars: 129
• Watchers: 3
• Forks: 16
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-stars - jktr/matplotlib-backend-kitty - show matplotlib plots directly in your kitty terminal (Python)

README

        
# matplotlib-backend-kitty

This python module allows you to use your

[kitty terminal](https://github.com/kovidgoyal/kitty)

to show the plots generated by python's

[matplotlib](https://github.com/matplotlib/matplotlib).

For other terminals, the similar [notcurses backend](https://github.com/jktr/matplotlib-backend-notcurses)

may also be of interest.

To install this one, do one of the following

 - `$ pip install --user matplotlib-backend-kitty`

 - clone this repo into your python's `site-packages` directory

 - clone this repo and add the parent directory to `sys.path` or `$PYTHONPATH`

Then, configure matplotlib to use the module by either setting the

environment variable `MPLBACKEND` to `module://matplotlib-backend-kitty`

or by initializing matplotlib as follows.

```python

import matplotlib

matplotlib.use('module://matplotlib-backend-kitty')

import matplotlib.pyplot as plt

```

If you've installed this module correctly, you can now use

the following sample code to draw a plot in your terminal.

```

$ export MPLBACKEND='module://matplotlib-backend-kitty'

$ python

>>> n = 10000

>>> df = pd.DataFrame({'x': np.random.randn(n),

                       'y': np.random.randn(n)})

>>> df.plot.hexbin(x='x', y='y', gridsize=20)

```

If you set your matplotlib to interactive mode via

`matplotlib.pyplot.ion()` or by running an interactive python

shell like `python` or `ipython`, non-empty figures are drawn on

construction where possible. This allows you to use pandas'

`plot()` calls directly, without calling `plt.show()`, and still

enables you to manually construct and `plt.show()`.

If your matplotlib is in non-interactive mode,

you can construct your figures as usual, and then call

`plt.show()` to render them to your terminal. This

works both from scripts and from a repl.

Figures are resized to the size of your terminal by default.

If you'd rather control the sizing of figures manually,

set the `MPLBACKEND_KITTY_SIZING` environment variable to `manual`.

Internally, this backend is somewhat based on matplotlib's

IPython support: it's a hybrid of image and GUI backend types.

It works by using matplotlib's `Agg` backend to render the

plot, and then calls kitty's `icat` to place the rendered

image on your terminal. This means that plotting works as

expected, but the image drawn to your terminal isn't

interactive and animations aren't supported.