https://github.com/atsushisakai/pycoolplot
A cool plotting module on Python
https://github.com/atsushisakai/pycoolplot
matplotlib python python3 visualization
Last synced: about 1 year ago
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A cool plotting module on Python
- Host: GitHub
- URL: https://github.com/atsushisakai/pycoolplot
- Owner: AtsushiSakai
- License: mit
- Created: 2018-06-02T06:54:20.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2022-08-21T01:45:25.000Z (almost 4 years ago)
- Last Synced: 2025-03-28T17:47:43.933Z (over 1 year ago)
- Topics: matplotlib, python, python3, visualization
- Language: Python
- Homepage:
- Size: 87.9 KB
- Stars: 32
- Watchers: 3
- Forks: 3
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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:
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](https://github.com/AtsushiSakai/) ([@Atsushi_twi](https://twitter.com/Atsushi_twi))