numpy.min_scalar_type — NumPy v2.2 Manual (original) (raw)

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 array a, 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.

Examples

import numpy as np 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')