Metadata-Version: 2.1
Name: pandas-explode
Version: 0.0.5
Summary: Explode utility for Pandas dataframes (similar to UNNEST or explode)
Home-page: https://github.com/orenovadia/pandas_explode
Author: Oren Ovadia
Author-email: orenovad@gmail.com
License: MIT
Download-URL: https://github.com/orenovadia/pandas_explode/tarball/0.0.5
Description: # pandas_explode
        
        author: Oren Ovadia
        
        ## Overview
        
        Explode utility for Pandas dataframes (similar to `UNNEST` or `explode`)
        
        
        ## Examples
        
        ```python
        import pandas as pd 
        import pandas_explode 
        pandas_explode.patch() # adds a `df.explode` method to all DataFrames 
        
        df = pd.DataFrame({'s': ['a', 'b', 'c'], 'values': [[1, 2], [3, 4, 5], []]})
        df
        #    s     values
        # 0  a     [1, 2]
        # 1  b  [3, 4, 5]
        # 2  c         []
        df.explode('values')
        #    s  values
        # 0  a       1
        # 0  a       2
        # 1  b       3
        # 1  b       4
        # 1  b       5
        
        df = pd.DataFrame({'s': ['a', 'b', 'c'], 'values': [{'col1': 1, 'col2': 2}, {'col1': 10, 'col3': 20}, {'col2': 2}]})
        df
        #    s                    values
        # 0  a    {'col1': 1, 'col2': 2}
        # 1  b  {'col1': 10, 'col3': 20}
        # 2  c               {'col2': 2}
        df.explode('values', axis=1)
        #    s  col1  col2  col3
        # 0  a   1.0   2.0   NaN
        # 1  b  10.0   NaN  20.0
        # 2  c   NaN   2.0   NaN
        
        ```
        
        
        ## Installation / Usage
        
        To install use pip:
        
            $ pip install pandas_explode
        
        
        Or clone the repo:
        
            $ git clone https://github.com/orenovadia/pandas_explode.git
            $ python setup.py install
            
        
        ## Publishing
        
            $ ./publish.sh
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
