Skip to main content

Plotting on the command line

Project description

termplotlib

CircleCI codecov Code style: black PyPI pyversions PyPi Version GitHub stars PyPi downloads

termplotlib is a Python library for all your terminal plotting needs. It aims to work like matplotlib.

Line plots

For line plots, termplotlib relies on gnuplot. With that installed, the code

import termplotlib as tpl
import numpy

x = numpy.linspace(0, 2 * numpy.pi, 10)
y = numpy.sin(x)

fig = tpl.figure()
fig.plot(x, y, label="data", width=50, height=15)
fig.show()

produces

    1 +---------------------------------------+
  0.8 |    **     **                          |
  0.6 |   *         **           data ******* |
  0.4 | **                                    |
  0.2 |*              **                      |
    0 |                 **                    |
      |                                   *   |
 -0.2 |                   **            **    |
 -0.4 |                     **         *      |
 -0.6 |                              **       |
 -0.8 |                       **** **         |
   -1 +---------------------------------------+
      0     1    2     3     4     5    6     7

Horizontal histograms

import termplotlib as tpl
import numpy

numpy.random.seed(123)
sample = numpy.random.normal(size=1000)
counts, bin_edges = numpy.histogram(sample)

fig = tpl.figure()
fig.hist(counts, bin_edges, orientation="horizontal", force_ascii=False)
fig.show()

produces

hist1

Horizontal bar charts are covered as well. This

fig = tpl.figure()
fig.barh(
    [3, 10, 5, 2],
    ['Cats', 'Dogs', 'Cows', 'Geese'],
    force_ascii=True
)
fig.show()

produces

Cats   [ 3]  ************
Dogs   [10]  ****************************************
Cows   [ 5]  ********************
Geese  [ 2]  ********

Vertical histograms

import termplotlib as tpl
import numpy

numpy.random.seed(123)
sample = numpy.random.normal(size=1000)
counts, bin_edges = numpy.histogram(sample, bins=40)
fig = tpl.figure()
fig.hist(counts, bin_edges, grid=[15, 25], force_ascii=False)
fig.show()

produces

hist2

Tables

Support for tables has moved over to termtables.

Installation

termplotlib is available from the Python Package Index, so simply do

pip install termplotlib

to install.

Testing

To run the termplotlib unit tests, check out this repository and type

pytest

License

This software is published under the GPLv3 license.

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

termplotlib-0.3.2.tar.gz (23.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

termplotlib-0.3.2-py3-none-any.whl (20.8 kB view details)

Uploaded Python 3

File details

Details for the file termplotlib-0.3.2.tar.gz.

File metadata

  • Download URL: termplotlib-0.3.2.tar.gz
  • Upload date:
  • Size: 23.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for termplotlib-0.3.2.tar.gz
Algorithm Hash digest
SHA256 3ce1dfc8f165f88b45e256197640696945eaba1bd00e43374e8c489e31c41cd3
MD5 372b25778ceebbd7d0146df3ca2ebf67
BLAKE2b-256 95f452d88de4887852b575a260e8b30d4578327922d9d6a8a437aa5c8edba30f

See more details on using hashes here.

File details

Details for the file termplotlib-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: termplotlib-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 20.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for termplotlib-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fea5ec9474cb7f6feccace4ecf921f71a4ccd5bed06cb9a8575a47737505c8e2
MD5 7eff40302e93983033370a8629bf02e9
BLAKE2b-256 376f850b1daa0ad77442854a3d27460da2d9880d8cc21bc10719a72d7b305418

See more details on using hashes here.

Supported by

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