mydatapreprocessing.types package

Place for storing the types used across the library. Type for data input format for example.

mydatapreprocessing.types.DataFrameOrArrayGeneric

Many functions works for numpy arrays as well as for pandas DataFrame. The same type as on input is returned on output usually.

Type:typing.TypeVar

mydatapreprocessing.types.Numeric

Define basic numeric type usually used in computation. Union of float, int and numpy.number.

Type:typing.TypeAlias

mydatapreprocessing.types.PandasIndex

Index that can be used in this library in function parameter. It can be str, but also int index. It’s usually narrowed to str | pd.Index afterwards so it can be used to access column with the same syntax as with columns name.

Type:typing.TypeAlias

mydatapreprocessing.types.DataFormat

Type:typing.TypeAlias