Comments (2)
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ENH,SCH: Function that maps from (dataframelib, column datatype) to (pandera, column datatype)?
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Pandas DataFrame column datatypes otoh:
- python primitives
- objects: object(), datetime.datetime
- numpy dtypes like float64
- numpy dtypes like ndarray and matrix
- numpy ufuncs:
https://numpy.org/doc/stable/user/basics.ufuncs.html#overriding-ufunc-behavior - units
- pint
https://pypi.org/project/pint (ufuncs iirc)- https://github.com/hgrecco/pint-pandas
pandas.DataFrame(,dtype="pint[lbf ft]")
- https://github.com/hgrecco/pint-pandas
- sympy.physics.units
https://pypi.org/project/sympy - astropy.units
https://pypi.org/project/astropy - unyt
https://pypi.org/project/unyt
- pint
- error propagation:
- uncertainties:
https://pypi.org/project/uncertainties/ - sigfig:
https://pypi.org/project/sigfig/
- uncertainties:
- money types:
- decimal.Decimal: https://docs.python.org/3/library/decimal.html
- py-moneyed:
- pandas types:
- tensors,:
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@Felix-neko I don't think this is possible atm, just to check, would this be to programatically ensure different dataframes follow the same schema, or would this be to get a dataframe, extract the schema, and save it to a file?
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