Login Register

numpy.rint()

numpy.rint(x[, out]) =

Round elements of the array to the nearest integer.

Parameters:

x : array_like

Input array.

Returns:

out : ndarray or scalar

Output array is same shape and type as x.

See also

ceil, floor, trunc

Examples

>>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
>>> np.rint(a)
array([-2., -2., -0.,  0.,  2.,  2.,  2.])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.rint.html

doc_NumPy

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

rint Defined in header <math.h> float rintf( float arg ); (1) (since C99) double rint( double arg ); (2) (since C99) long double

std::rint Defined in header <cmath> float rint( float arg ); (1) (since C++11) double rint( double arg ); (2) (since C++11) long doub

numpy.select() numpy.select(condlist, choicelist, default=0) [source] Return an array drawn from elements in choicelist, depending on conditions. Parameters: c

numpy.empty() numpy.empty(shape, dtype=float, order='C') Return a new array of given shape and type, without initializing entries. Parameters: shape : int or

numpy.place() numpy.place(arr, mask, vals) [source] Change elements of an array based on conditional and input values. Similar to np.copyto(arr, vals, where=ma