Data science utilities
Project description
datasci
Install from PyPI:
pip install datasci
Install in development mode:
pip install -e .
Features
Jupyter notebook initialization
%run -m datasci.notebook.init
Pandas helpers
import pandas as pd
df = pd.DataFrame(...)
from datasci.pandas import drop_na_columns, drop_uninformative_columns
df_without_na = drop_na_columns(df)
df_informative = drop_uninformative_columns(df)
# or, all-together:
df = pd.DataFrame(...).pipe(drop_na_columns).pipe(drop_uninformative_columns)
Testing
python setup.py test
License
Copyright 2018 Christopher Brown. MIT Licensed.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
datasci-0.3.4.tar.gz
(6.8 kB
view hashes)
Built Distribution
Close
Hashes for datasci-0.3.4-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a2a83fa5442f78f8fde22a210d2825e7eeb0877f7df3de7688c588e889e09dc |
|
MD5 | 4662f8c9c4aa766caf126b8e813399f8 |
|
BLAKE2b-256 | ef1c1bab999a0deaaa0d9314f910b239bb9ba6cbde649355b6c5c24a8810bbe5 |