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: 

# 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(arr2))
print("\nCheck for copysign : ", np.signbit(np.copysign(arr1, arr2)))

Output: 

arr1 :  [1, -23, 34, 11]
arr2 :  [-1, 2, -3, -4]
Check sign of arr1 : [False  True False False]
Check sign of arr2 : [ True False  True  True]
Check for copysign : [ True False  True  True]

Code #2: 

# 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)))

Output: 

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

mohit gupta_omg :)

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Article Tags :

• Python
• Python-numpy
• Python numpy-Mathematical Function

Practice Tags :

• python