NumPy Data type: min_scalar_type() function

numpy.min_scalar_type() function

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.

Version: 1.15.0

Syntax:

numpy.min_scalar_type(a)

Parameter:

Return value:

out : dtype - The minimal data type.

Example: numpy.min_sclar_type() function

>>> import numpy as np
>>> np.min_scalar_type(160)
dtype('uint8')
>>> np.min_scalar_type(-250)
dtype('int16')

Example: numpy.min_sclar_type() function

>>> import numpy as np
>>> np.min_scalar_type(5.5)
dtype('float16')
>>> np.min_scalar_type(2e5)
dtype('float32')
>>> np.min_scalar_type(np.arange(6,dtype='f8'))
dtype('float64')

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