numpy.signbit(array, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) : This mathematical function helps user to element – wise check whether the signbit is set or not.
Parameters :
array : [array_like]Input array or object whose elements, we need to check.
out : [ndarray, optional]Output array with same dimensions as Input array, placed with result.
**kwargs : Allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.Return : True, if sign-bit is set; else False.
Code :
# Python program illustrating # signbit() method import numpy as np arr = [1, -23, +34, 11] print ("arr : ", arr) print ("\nCheck for signbit : ", np.signbit(arr)) out_arr = np.arange(4) print ("\nout_arr : ", out_arr) np.signbit(arr, out = out_arr) print ("\nplacing signbit check values to out_arr : ", out_arr) |
Output :
arr : [1, -23, 34, 11] Check for signbit : [False True False False] out_arr : [0 1 2 3] placing signbit check values to out_arr : [0 1 0 0]
