infolib 0.2.3

A small, simple and sturdy library to overview our PandasDataframe

infolib

simple and complete PandasDataframe's stat overview

Installation

Only through pip at this time https://test.pypi.org/project/infolib/

pip install -i https://test.pypi.org/simple/ infolib

from infolib.infolib import inf

How to use

Using infolib is very simple:

inf(pd.DataFarame)

inf() takes 1 positional argument and expects pandas DataFrame object

Exemple

series that will be part of the dataframe

s = pd.Series(pd.date_range("2012-1-1", periods=3, freq="D"))

td = pd.Series([pd.Timedelta(days=i) for i in range(3)])

i = [1,2,3]

f = [0.123,423.231,0.002]

c = ['A', 'B', 'C']

cn = [1, 2, 3]

b = [False, True, False]

n = [np.nan, np.nan, np.nan]

import as pandas.Dataframe

test = pd.DataFrame({"A": s, "B": td, "C": i, "D":f, "E":c, "F":cn, "G":b, "H":n})

transformation of two features as categories

test['E'] = test_03['E'].astype('category')

test['F'] = test_03['F'].astype('category')

run infolib

inf(test)

Development Status

Read well and don't say you didn't know.

✔️ Planning

✔️ Pre-Alpha

✔️ Alpha

❌ Beta

❌ Production/Stable

❌ Mature

❌ Inactive

The alpha version was tested in Colab (py 3.7) and on Jupyter (py 3.10 on Windows)

Demo

Demo on Colab: https://colab.research.google.com/drive/1KTI7CwP_E7IJod_WiD0PT31MaRBdhiki?usp=sharing

License

MIT: https://github.com/AntonelloManenti/infolib/blob/main/LICENSE

Contacts

linkedin: https://www.linkedin.com/in/antonello-manenti/