find_common_type(array_types, scalar_types)
A list of dtypes or dtype convertible objects representing arrays.
A list of dtypes or dtype convertible objects representing scalars.
The common data type, which is the maximum of array_types
ignoring :None:None:`scalar_types`, unless the maximum of :None:None:`scalar_types` is of a different kind (:None:None:`dtype.kind`). If the kind is not understood, then None is returned.
Determine common type following standard coercion rules.
>>> np.find_common_type([], [np.int64, np.float32, complex]) dtype('complex128')
>>> np.find_common_type([np.int64, np.float32], []) dtype('float64')
The standard casting rules ensure that a scalar cannot up-cast an array unless the scalar is of a fundamentally different kind of data (i.e. under a different hierarchy in the data type hierarchy) then the array:
>>> np.find_common_type([np.float32], [np.int64, np.float64]) dtype('float32')
Complex is of a different type, so it up-casts the float in the array_types
argument:
>>> np.find_common_type([np.float32], [complex]) dtype('complex128')
Type specifier strings are convertible to dtypes and can therefore be used instead of dtypes:
>>> np.find_common_type(['f4', 'f4', 'i4'], ['c8']) dtype('complex128')See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.dtypes.cast.find_common_type
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