def infer_dtype_from(val, pandas_dtype=False):
    """
    interpret the dtype from a scalar or array. This is a convenience
    routines to infer dtype from a scalar or an array

    Parameters
    ----------
    pandas_dtype : bool, default False
        whether to infer dtype including pandas extension types.
        If False, scalar/array belongs to pandas extension types is inferred as
        object
    """
    if is_scalar(val):
        return infer_dtype_from_scalar(val, pandas_dtype=pandas_dtype)
    return infer_dtype_from_array(val, pandas_dtype=pandas_dtype)
def infer_dtype_from ( val , pandas_dtype = False ) : if is_scalar ( val ) : return infer_dtype_from_scalar ( val , pandas_dtype = pandas_dtype ) return infer_dtype_from_array ( val , pandas_dtype = pandas_dtype )
interpret the dtype from a scalar or array. This is a convenience
    routines to infer dtype from a scalar or an array

    Parameters
    ----------
    pandas_dtype : bool, default False
        whether to infer dtype including pandas extension types.
        If False, scalar/array belongs to pandas extension types is inferred as
        object