numpy.copysign() in Python

numpy.copysign(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) : This mathematical function helps user to change the sign of arr1 and arr2. Both arr1 or arr2 can be either list/sequence or a scalar value. If sequence, both must have same dimension; otherwise arr2 can be a scalar value.

Parameters :
arr1 : [array_like]Input array, values to change sign of.
arr2 : [array_like]Input array, values to change sign of.
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 : x1 with sign of x2.



Code #1:

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# Python program illustrating 
# copysign() method 
import numpy as np 
  
arr1 = [1, -23, +34, 11]
arr2 = [-1, 2, -3, -4]
  
print ("arr1 : ", arr1)
print ("arr2 : ", arr2)
  
print ("\nCheck sign of arr1 : ", np.signbit(arr1))
print ("\nCheck sign of arr2 : ", np.signbit(arr1))
print ("\nCheck for copysign : ", np.signbit(np.copysign(arr1, arr2)))

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Output :

arr1 :  [1, -23, 34, 11]
arr2 :  [-1, 2, -3, -4]

Check sign of arr1 :  [False  True False False]
Check sign of arr2 :  [False  True False False]
Check for copysign :  [ True False  True  True]

 
Code #2:

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# Python program illustrating 
# copysign() method 
import numpy as np 
  
arr1 = [1, -23, +34, 11]
  
print ("\nCheck sign of arr2 : ", np.signbit(arr1))
print ("\nCheck for copysign : ", np.signbit(np.copysign(arr1, -3)))

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Output :

Check sign of arr2 :  [False  True False False]
Check for copysign :  [ True  True  True  True]


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