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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