lehar

Python library to generate sparklines ▁▂▄▅▇█ in your shell based upon relative ordering of data. lehar is a Hindi word which means wave. lehar can be invoked via commandline also.

# Find commits by authors in a git repo
$ git shortlog -s | cut -f1 | lehar
▇▁▁▁▁▁▁▂▃▁▁█▁▁▂▃▅▁▁▁▂▆▁▁▁▂▁▁▁▁▂▇▁▅▆▁▁▁▄▁▁█▁▁▂▁▂▁

Some cool usage

Why ? : https://medium.com/@darxtrix/visualizing-data-in-terminal-using-lehar-7cfded09c1ad

Note

Each data point in the data set is plotted relative to the maximum data point value with the maximum having the highest plot height. And they are only 5 possible heights so two number with very less fraction difference relative to max data point can take same plot height. Its a way of visualizing variations in data.

Demo

Installation

Using pip

$ pip install lehar

API

lehar.draw(numbers,options)

numbers

type : list

options

Only supported option is color eg. color='red'

Basic Usage

>>> import lehar

# Strings
>>> lehar.draw(["0","1","2","3","4"])
'▁▂▄▆█'

# Numbers
>>> lehar.draw([0,1,2,3,4])
'▁▂▄▆█'

# Negatives
>>> lehar.draw([1,3,-34,12,44,81,0])
'▃▃▁▄▆█▃'

# Missing data
>>> lehar.draw([1,3,-34,'',12,44,'',81,0])
'▃▃▁ ▄▆ █▃'

Adding colors

>>> lehar.draw(["0","1","2","3","4"],color="yellow")

>>> lehar.draw([1,3,-34,'',12,44,'',81,0],color="cyan")

Command line

$ lehar 1 2 3 4 5

$ lehar -c red 1 2 3 4 5

$ echo "-c cyan 1 2 3 4 5" | lehar

$ lehar < input

Support

lehar supports both Python2 & Python3.

Contributing Guide

• Setup

$ git clone https://github.com/darxtrix/lehar
$ cd lehar 
$ pip install -r requirements.txt
$ python setup.py develop
$ lehar 

• Tests are located at lehar/tests.py and covergae tests are located at .travis.yml

$ python tests.py

• While sending a pull request increment the version at VERSION and make sure the travis build passes.

Some feedback please

Please file as issue here for suggesting the improvements required.

License

MIT © Ankush Sharma