locan.locan_io.locdata.utilities.convert_property_types#

locan.locan_io.locdata.utilities.convert_property_types(dataframe, types, loc_properties=None)[source]#

Convert data types according to the column-type mapping in types. If the target type is one of ‘integer’, ‘signed’, ‘unsigned’, ‘float’ then pandas.to_numeric() will be applied. Otherwise, if the target type is any type object like int, str, np.float64 or similar then pandas.astype() will be applied.

Parameters:

  • dataframe (DataFrame) – Data to be converted

  • types (Mapping[str, str | type]) – Mapping of loc_properties to types

  • loc_properties (Optional[Iterable[str]]) – The columns in dataframe to be converted. If None, all columns will be converted according to types.

Returns:

A copy of dataframe with converted types

Return type:

pandas.DataFrame