numpy.min_scalar_type — NumPy v1.11 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: | 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')