inspectpd is collection of utilities for columnwise summary, comparison and visualisation of pandas dataframes. The package patches in the following methods for pandas objects:

• .inspect_types() summary of column types
• .inspect_mem() summary of memory usage of columns
• .inspect_na() columnwise prevalence of missing values
• .inspect_cor() correlation coefficients of numeric columns
• .inspect_imb() feature imbalance of non-numeric
• .inspect_num() summaries of numeric columns
• .inspect_cat() summaries of non-numeric

You can install inspectpd using pip with

pip install inspectpd

Simply import the package and use the methods on a pandas dataframe:

import pandas as pd
import inspectpd
# example data set just for illustration
from inspectpd import starwars

# categorical features summary
starwars.inspect_cat()

You can also get a quick visualisation of the summary too:

# get a plot of the categorical features
starwars.inspect_cat().view()