analytic tool for pandas dataframe exploration
Trahs_pandas is an analytic tool designed for Pandas DataFrame exploration.
It deliver fast statistical insights about the data of every column such as type, NaN values, unique values, distribution, mean, median, quartiles, correlations... and render with graphs using only print statements, making it suitable for both notebook and shell usage.
It is intended to replace info() and describe().
See the code on this Github
pip install trash-pandas
How to use?
from trash_pandas import explore df = pandas.read_csv('file.csv') explore(df)
It is possible to get a generator that display the result one column at a time.
from trash_pandas import explore df = pandas.read_csv('file.csv') gen = explore(df, generator=True) next(gen) ...
I developed it initially for my own usage.