numpy.signbit() in Python
Last Updated :
29 Nov, 2018
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 :
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)
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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]
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