Pynimate

Python package for statistical data animations.

Installation

with pip

Pynimate is available at pypi

pip install pynimate

Geospatial features

The Choropleth and Geodatafier classes require GeoPandas. Install pynimate with the geo extra:

pip install "pynimate[geo]"

How to use

Pynimate expects pandas dataframe formatted in this manner:
Where the time column is set to index.

time, col1, col2, col3
2012   1     2     1
2013   1     1     2
2014   2     1.5   3
2015   2.5   2     3.5

Bar Chart Example

import pandas as pd
from matplotlib import pyplot as plt

import pynimate as nim

df = pd.DataFrame(
    {
        "time": ["1960-01-01", "1961-01-01", "1962-01-01"],
        "Afghanistan": [1, 2, 3],
        "Angola": [2, 3, 4],
        "Albania": [1, 2, 5],
        "USA": [5, 3, 4],
        "Argentina": [1, 4, 5],
    }
).set_index("time")

cnv = nim.Canvas()
bar = nim.Barhplot.from_df(df, "%Y-%m-%d", "2d")
bar.set_time(callback=lambda i, datafier: datafier.data.index[i].year)
cnv.add_plot(bar)
cnv.animate()
plt.show()

Documentation

The official documentation : https://julkaar9.github.io/pynimate/

License

MIT License (MIT)