infer_dtype_from_array(arr, pandas_dtype: 'bool' = False) -> 'tuple[DtypeObj, ArrayLike]'
if pandas_dtype=False. these infer to numpy dtypes exactly with the exception that mixed / object dtypes are not coerced by stringifying or conversion
if pandas_dtype=True. datetime64tz-aware/categorical types will retain there character.
whether to infer dtype including pandas extension types. If False, array belongs to pandas extension types is inferred as object
Infer the dtype from an array.
>>> np.asarray([1, '1']) array(['1', '1'], dtype='<U21')This example is valid syntax, but we were not able to check execution
>>> infer_dtype_from_array([1, '1']) (dtype('O'), [1, '1'])See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.dtypes.cast.infer_dtype_from_array
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