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https://github.com/nschloe/termplotlib

:chart_with_upwards_trend: Plotting on the command line
https://github.com/nschloe/termplotlib

ascii-chart command-line plot plotting pypi python terminal

Last synced: 3 days ago
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:chart_with_upwards_trend: Plotting on the command line

Host: GitHub
URL: https://github.com/nschloe/termplotlib
Owner: nschloe
License: gpl-3.0
Created: 2018-06-10T11:55:36.000Z (over 6 years ago)
Default Branch: main
Last Pushed: 2021-12-09T00:04:42.000Z (about 3 years ago)
Last Synced: 2025-02-09T07:03:08.402Z (10 days ago)
Topics: ascii-chart, command-line, plot, plotting, pypi, python, terminal
Language: Python
Homepage:
Size: 370 KB
Stars: 682
Watchers: 11
Forks: 19
Open Issues: 10
Metadata Files:
- Readme: README.md
- License: LICENSE.txt

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README

        # termplotlib

[![PyPi Version](https://img.shields.io/pypi/v/termplotlib.svg?style=flat-square)](https://pypi.org/project/termplotlib)

[![PyPI pyversions](https://img.shields.io/pypi/pyversions/termplotlib.svg?style=flat-square)](https://pypi.org/pypi/termplotlib/)

[![GitHub stars](https://img.shields.io/github/stars/nschloe/termplotlib.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/termplotlib)

[![PyPi downloads](https://img.shields.io/pypi/dm/termplotlib.svg?style=flat-square)](https://pypistats.org/packages/termplotlib)

[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/termplotlib/ci?style=flat-square)](https://github.com/nschloe/termplotlib/actions?query=workflow%3Aci)

[![codecov](https://img.shields.io/codecov/c/github/nschloe/termplotlib.svg?style=flat-square)](https://codecov.io/gh/nschloe/termplotlib)

[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/termplotlib.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/termplotlib)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)

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

like [matplotlib](https://matplotlib.org/).

### Line plots

For line plots, termplotlib relies on [gnuplot](http://www.gnuplot.info/).

With that installed, the code

```python

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

```

    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

```python

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

![hist1](https://nschloe.github.io/termplotlib/hist1.png)

Horizontal bar charts are covered as well. This

```python

import termplotlib as tpl

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

```python

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

![hist2](https://nschloe.github.io/termplotlib/hist2.png)

### Tables

Support for tables has moved over to

[termtables](https://github.com/nschloe/termtables).

### Installation

termplotlib is [available from the Python Package

Index](https://pypi.org/project/termplotlib/), 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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