numpy.min_scalar_type#
- numpy.min_scalar_type(a, /)#
For scalar
a
, returns the data type with the smallest size and smallest scalar kind which can hold its value. For non-scalar arraya
, returns the vector’s dtype unmodified.Floating point values are not demoted to integers, and complex values are not demoted to floats.
- Parameters
- ascalar or array_like
The value whose minimal data type is to be found.
- Returns
- outdtype
The minimal data type.
See also
Notes
New in version 1.6.0.
Examples
>>> np.min_scalar_type(10) dtype('uint8')
>>> np.min_scalar_type(-260) dtype('int16')
>>> np.min_scalar_type(3.1) dtype('float16')
>>> np.min_scalar_type(1e50) dtype('float64')
>>> np.min_scalar_type(np.arange(4,dtype='f8')) dtype('float64')