A collection of various tools for working with scatter pie. It is written in pure rust and provide python API through PyO3.
Pypies is built upon polars and plotters, It inherited the advantages of both, so it can be very fast for large dataset and can supports various types of back-ends potentially.
pypies is very much a work in progress, so suggestions for new tools, features and capabilities is very much welcome, as are contributions as PRs.
scatterpie: Create scatterpie plots.
You can install it with pip:
pip install pypies
Here is an example of scatter pie plot:
For users from pandas:
import pandas as pd
import polars as pl
import pypies
df = pd.read_csv("datasets/iris.csv")
df = pl.from_pandas(df)
pypies.scatterpie(df, "Sepal.Length", "Sepal.Width", ["Petal.Length","Petal.Width"])
For users from polars:
import polars as pl
import pypies
df = pl.read_csv("datasets/iris.csv")
pypies.scatterpie(df, "Sepal.Length", "Sepal.Width", ["Petal.Length","Petal.Width"])
The plot will be saved in the currently directory. To learn more, please read the help documentaion using help(pypies.scatterpie).
- The plot is not interactive and must be saved locally.
This project is licensed under the MIT license