show matplotlib plots directly in your kitty terminal
Project description
matplotlib-backend-kitty
This python module allows you to use your kitty terminal to show the plots generated by python's matplotlib.
For other terminals, the similar notcurses backend 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.
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 -i
>>> n = 10000
>>> df = pd.DataFrame({'x': np.random.randn(n),
'y': np.random.randn(n)})
>>> df.plot.hexbin(x='x', y='y', gridsize=20)
<plot is shown>
If you set your matplotlib to interactive mode via
matplotlib.pyplot.ion()
or by running python as
python -i
, 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 from both a repl and when running scripts.
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.
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