termplotlib

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 as np

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

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

produces

<!--pytest-codeblocks:expected-output-->

    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 as np

rng = np.random.default_rng(123)
sample = rng.standard_normal(size=1000)
counts, bin_edges = np.histogram(sample)

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

produces

Horizontal bar charts are covered as well. This

import termplotlib as tpl

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

produces

<!--pytest-codeblocks:expected-output-->

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

Vertical histograms

import termplotlib as tpl
import numpy as np

rng = np.random.default_rng(123)
sample = rng.standard_normal(size=1000)
counts, bin_edges = np.histogram(sample, bins=40)
fig = tpl.figure()
fig.hist(counts, bin_edges, grid=[15, 25], force_ascii=False)
fig.show()

produces

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

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