Better frequency and crosstab tables.
Project description
freqit
Better frequency and crosstab tables.
This is a work in progress meant to provide better functionality and more options in constructing frequency tables for data analysis. Currently one-way tables are supported, crosstabulation tables to come in the future.
The package takes a pandas series and outputs a frequency table for the values within the column.
Freqit requires that pandas and numpy are installed in the operating environment.
Installation:
pip install freqit
Use:
from freqit.oneway import freqtable
import pandas as pd
iris = pd.read_csv('https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv')
freqtable(iris['species'])
Returns:
| value | count | percentage | cum_total | cum_percentage |
|---|---|---|---|---|
| setosa | 50 | 33.333333 | 50 | 33.333333 |
| versicolor | 50 | 33.333333 | 100 | 66.666667 |
| virginica | 50 | 33.333333 | 150 | 100.000000 |
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