Skip to main content

show matplotlib plots inline in most terminals, via notcurses

Project description

matplotlib-backend-notcurses

This python module allows you to show the plots generated by python's matplotlib in many modern and older terminals by using notcurses.

To install it, you will need to one of the following

  • $ pip install --user matplotlib-backend-notcurses
  • 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-notcurses or by initializing matplotlib as follows.

import matplotlib
matplotlib.use('module://matplotlib-backend-notcurses')
import matplotlib.pyplot as plt

Please make sure that you have the programs ncplayer and notcurses-info, both from notcurses, in your PATH.

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-notcurses'
$ python -i
>>> import numpy as np; import pandas as pd
>>> 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_NOTCURSES_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 notcurses's ncplayer 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.

This is a port of my matplotlib-backend-kitty to notcurses tooling, which provides support for more terminal graphics protocols and reasonable autodetection and fallbacks for these.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

matplotlib-backend-notcurses-1.0.0.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file matplotlib-backend-notcurses-1.0.0.tar.gz.

File metadata

  • Download URL: matplotlib-backend-notcurses-1.0.0.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for matplotlib-backend-notcurses-1.0.0.tar.gz
Algorithm Hash digest
SHA256 bee847358c0316870a3c778b1278214212454059fc5f1902586eb24b8ab60ce2
MD5 4aeedd0151ece59f83a6385d1335b84b
BLAKE2b-256 c7b10fe8644d57244f2c9969694a06e20d49029ffffdf4c66b32f1292f42f7a4

See more details on using hashes here.

File details

Details for the file matplotlib_backend_notcurses-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: matplotlib_backend_notcurses-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 7.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for matplotlib_backend_notcurses-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6451553181c56535a2a94b99522e10e608dfce3851ab118f48c0c1cf1386aff1
MD5 b97b03e3374830c1d5bad448699ddb59
BLAKE2b-256 a262810e479031e15fcc6b6a701c72e62aff8b770cda95bd0f7b341962416e48

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page