asciibars

asciibars is a Python module for plotting bar charts in ASCII.

How to install it

pip install asciibars

How to use it

Import the module:

import asciibars

Define your data with both labels and counts:

data_p = [
    ('Gigi',        64  ),
    ('Carletto',    12  ),
    ('Silvio',      0   ),
    ('Priscilla',   30  ),
    ('Rodolfo',     57  ),
    ('Sigismondo',  70  )
]

Generate your bar chart in ASCII:

asciibars.plot(data_p)

The command above will print:

Gigi       | 64 ██████████████████
Carletto   | 12 ███
Silvio     |  0 ▏
Priscilla  | 30 █████████
Rodolfo    | 57 ████████████████
Sigismondo | 70 ████████████████████

Arguments of asciibars.plot

Examples

Please find more examples below.

asciibars.plot(data_p,sep_lc=' -> ',unit='▓',max_length=40)

Gigi       -> 64 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
Carletto   -> 12 ▓▓▓▓▓▓▓
Silvio     ->  0 ▏
Priscilla  -> 30 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
Rodolfo    -> 57 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
Sigismondo -> 70 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

asciibars.plot(data_p,unit='▓',neg_unit='░')

Gigi       | 64 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░
Carletto   | 12 ▓▓▓░░░░░░░░░░░░░░░░░
Silvio     |  0 ░░░░░░░░░░░░░░░░░░░░
Priscilla  | 30 ▓▓▓▓▓▓▓▓▓░░░░░░░░░░░
Rodolfo    | 57 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░
Sigismondo | 70 ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

asciibars.plot(data_p,unit='▓',neg_unit='░',neg_max=100,count_pf='%')

Gigi       | 64% ▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░░
Carletto   | 12% ▓▓░░░░░░░░░░░░░░░░░░
Silvio     |  0% ░░░░░░░░░░░░░░░░░░░░
Priscilla  | 30% ▓▓▓▓▓▓░░░░░░░░░░░░░░
Rodolfo    | 57% ▓▓▓▓▓▓▓▓▓▓▓░░░░░░░░░
Sigismondo | 70% ▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░
                                 100%

data_pn = [
    ('One',     64  ),
    ('Two',     38  ),
    ('Three',   0   ),
    ('Four',    -18 ),
    ('Five',    -30 )
]

asciibars.plot(data_pn,sep_lc=' ',count_pf='%')

One    64%       ██████████████
Two    38%       ████████
Three   0%       ▏
Four  -18%   ████
Five  -30% ██████

Change log

Please find the change log here.

Acknowledgments

Thanks to:

• Alex for inspiring this work with this blog post.
• Jinhang Jiang for the tutorial on how to publish your first Python package.

CHANGELOG

The dates are reported as YYYY-MM-DD.

Version 0.0.1 2022-12-26

1. Alpha release

Version 0.0.2 2022-12-26

1. Improved readme

Version 0.0.3 2022-12-26

1. README: added pip install command