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Data Science Shortcuts. Package for lazy, or overwhelmed, data scientists

Project description

Data Science Shortcuts - DataSS

This time I really got tired of rewriting the same old data analysis functions again.

For now on I'll write them in this package.

MIT License.

Installation

Download and install:

git clone https://gitlab.com/htbrandao/datass.git

cd datass/

pip3 install -e .

or, install from PyPI:

pip3 install datass

or, install a specific version:

pip3 install datass==0.0.1

Usage

Example:

import datass

import pandas as pd

df = pd.read_csv('some-file.csv')

# find null values
datass.dataframe.inspection._isnull(df)

# run value counts
datass.dataframe.inspection._value_counts()(df)

# run describe
datass.dataframe.inspection._describe(df)

Other

TODO & FIXME

1 - keep on coding the actual module
1.1 - update docs
1.2 - fix proj page not fowarding to docs
1.3 - improve 404.md
2 - YOLO

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