Metadata-Version: 2.1
Name: PyCoolPlot
Version: 0.1.0
Summary: A cool plotting module in Python
Home-page: https://github.com/AtsushiSakai/PyCoolPlot
Author: Atsushi Sakai
Author-email: asakai.amsl@gmail.com
Maintainer: Atsushi Sakai
Maintainer-email: asakai.amsl@gmail.com
License: MIT
Keywords: python plot matplotlib
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >3.6.0
Description-Content-Type: text/markdown
License-File: LICENSE

# PyCoolPlot

A cool plotting module in Python

# What is this?

This is a plotting module in Python.

Ref:

- [データ視覚化のデザイン \#1｜Go Ando / THE GUILD｜note](https://note.mu/goando/n/neb6ea35f1da3)

- [「データ視覚化のデザイン \#1」をmatplotlibで実装する \- Qiita](https://qiita.com/skotaro/items/cdb0732ad1ad2a4b6236)

# Requirements

- Python 3.6.x or higher

- matplotlib

- numpy

- pandas


# Download

## Using pip

>$ pip install PyCoolPlot

PyPI page:

- [PyCoolPlot · PyPI](https://pypi.org/project/PyCoolPlot/#description)


## Manual install

1. Install Python 3.6.x.

2. Clone or download as zip this repository. 

3. import pycoolplot.py

# How to use

The sample code might be helpful:

- [PyCoolPlot/sample\.py](https://github.com/AtsushiSakai/PyCoolPlot/blob/master/sample.py)

## import

If you use pip to install PyCoolPlot, you can import it like:

	from pycoolplot import pycoolplot


## Horizontal bar plot

You can plot a beautiful horizontal bar plot like:

    data = [1000, 2000, 10000]
    index = ["A", "B", "C"]
    pycoolplot.horizontal_bar(index, data)
    pycoolplot.plt.show()

You will see:

![1](https://github.com/AtsushiSakai/PyCoolPlot/raw/master/imgs/1.png)

If you want a rate bar plot, you can set rate\_graph is True like:

    data = [1000, 2000, 10000]
    index = ["A", "B", "C"]
    pycoolplot.horizontal_bar(index, data, rate_graph=True)
    pycoolplot.plt.show()


You will see:

![2](https://github.com/AtsushiSakai/PyCoolPlot/raw/master/imgs/2.png)

## Line graph

You can plot a beautiful line graph like:

    data2 = [[970, 1010, 1015, 1008],
             [975, 1020, 1002, 1035],
             [975, 985, 995, 999]]
    index2 = ['Toyota', 'VW', 'GM']
    columns = [2013, 2014, 2015, 2016]
    ylabel = "Number"
    xlabel = "Year"
    pycoolplot.line_graph(data2, index2, columns, xlabel,
                          ylabel, xtick=1, ytick=25)
    pycoolplot.plt.show()

You can get:

![3](https://github.com/AtsushiSakai/PyCoolPlot/raw/master/imgs/3.png)

If you want to focus a line, you can set focus\_id like:

    data2 = [[970, 1010, 1015, 1008],
            [975, 1020, 1002, 1035],
            [975, 985, 995, 999]]
    index2 = ['Toyota', 'VW', 'GM']
    columns = [2013, 2014, 2015, 2016]
    ylabel = "Number"
    xlabel = "Year"
    focus_id = 1  # the index of focusing line, in this case Toyota=0, VW=1, GM=2
    pycoolplot.line_graph(data2, index2, columns, xlabel,
                          ylabel, xtick=1, ytick=25, focus_id=focus_id)
    pycoolplot.plt.show()

![4](https://github.com/AtsushiSakai/PyCoolPlot/raw/master/imgs/4.png)

## Time bar chart

You can plot a beautiful time series bar chart like:

    data = pycoolplot.np.linspace(450, 990, 12) + \
        pycoolplot.np.random.randint(-50, 50, 12)
    time_index = pycoolplot.pd.date_range('2017/5', periods=12, freq='MS')
    pycoolplot.time_vertical_bar(data, time_index, xlabel="time", ylabel="MAU")
    pycoolplot.plt.show()

![5](https://github.com/AtsushiSakai/PyCoolPlot/raw/master/imgs/5.png)

# License 

MIT

# Author

- [Atsushi Sakai](https://github.com/AtsushiSakai/) ([@Atsushi_twi](https://twitter.com/Atsushi_twi))




