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

• 「データ視覚化のデザイン #1」をmatplotlibで実装する - Qiita

Requirements

• Python 3.6.x or higher

• matplotlib

• numpy

• pandas

Download

Using pip

$ pip install PyCoolPlot

PyPI page:

• PyCoolPlot · PyPI

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

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:

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:

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:

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()

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()

License

MIT

Author

• Atsushi Sakai (@Atsushi_twi)