Metadata-Version: 2.1
Name: datasci
Version: 0.4.0
Summary: Data science utilities
Home-page: https://github.com/chbrown/datasci-python
Author: Christopher Brown
Author-email: io@henrian.com
License: MIT
Description: # `datasci`
        
        [![Latest version on PyPI](https://badge.fury.io/py/datasci.svg)](https://pypi.org/project/datasci/)
        
        Install from PyPI:
        
        ```sh
        pip install datasci
        ```
        
        Install in development mode:
        
        ```sh
        pip install -e .
        ```
        
        
        ## Features
        
        ### Jupyter notebook initialization
        
        ```pycon
        %run -m datasci.notebook.init
        ```
        
        ### Pandas helpers
        
        ```python
        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
        
        ```sh
        python setup.py test
        ```
        
        
        ## License
        
        Copyright 2018–2020 Christopher Brown.
        [MIT Licensed](https://chbrown.github.io/licenses/MIT/#2018-2020).
        
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
