edamame 0.20

Exploratory data analysis tools

Installation

To install the package,

pip install edamame

edamame functions work correctly inside a .ipynb file.

import edamame as eda

Exploratory data analysis functions

Dimensions

a prettier version of the .shape method

eda.dimensions(data)

the function displays the number of rows and columns of a pandas dataframe passed

Describe distribution

eda.describe_distribution(data)

passing a dataframe the function display the result of the .describe() method applied to a pandas dataframe, divided by quantitative/numerical and categorical/object columns.

Identify columns types

eda.identify_types(data)

passing a dataframe the function display the result of the .dtypes method and returns a list with the name of the quantitative/numerical columns and a list with the name of the columns identified as "object" by pandas.

Convert numerical columns to categorical

eda.identify_types(data, col: list[str])

passing a dataframe and a list with columns name, the function transforms the types of the columns into "object". This operation can help convert numerical columns we know to be categorical.