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Showing content from http://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.min_scalar_type.html below:

numpy.min_scalar_type — NumPy v1.11 Manual

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:

a : scalar or array_like

The value whose minimal data type is to be found.

Returns:

out : dtype

The minimal data type.

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')

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