numpy.min_scalar_type()

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.

Notes

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')