df2obs 0.1.0

A tool to convert DataFrame to a list of objects of some class or vice versa

A tool to convert DataFrame to a list of objects of some class or vice versa

• Signatures

  def df2obs(df: pd.DataFrame, clazz: Any) -> List[Any]

or

  def obs2df(obs: List[Any]) -> pd.DataFrame

How to use

• Define class attribute : pandas DataFrame column mapping in your class directly
• Inherit your class from df2obs.base.Base, and make df2obs.base.BaseType as its metaclass
• You are ready to go using df2obs() and/or obs2df()

Example

import pandas as pd
from df2obs.base import Base, BaseType


movie_df = pd.DataFrame({
    'title1': ['The American President', "Queen's Gambit", 'Wall Street'],
    'year1': [1995, 2020, 1987],
    'director2': ['Rob Reiner', 'Scott Frank', 'Oliver Stone']
})


class Movie(Base, metaclass=BaseType):
    # class attribute = pandas DataFrame column name
    title = 'title1'
    year = 'year1'
    director = 'director2'


if __name__ == "__main__":
    m = Movie()
    packed_obs = list(m.df2obs(movie_df))
    print(packed_obs)
    print('='*100)
    print(m.obs2df(packed_obs))

Result:

[{'title': 'The American President', 'year': 1995, 'director': 'Rob Reiner'}, {'title': "Queen's Gambit", 'year': 2020, 'director': 'Scott Frank'}, {'title': 'Wall  Street', 'year': 1987, 'director': 'Oliver Stone'}]
====================================================================================================
                  title  year      director
0  The American President  1995    Rob Reiner
1          Queen's Gambit  2020   Scott Frank
2             Wall Street  1987  Oliver Stone