`numpy:min_scalar_type`

Signature

def min_scalar_type(a, /)

Summary

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.

Extended Summary

Floating point values are not demoted to integers, and complex values are not demoted to floats.

Parameters

a : scalar or array_like: The value whose minimal data type is to be found.

Returns

out : dtype: 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')

Aliases

numpy.min_scalar_type