# Change the sign of Numpy array values to that of a scalar element-wise

NumpyServer Side ProgrammingProgramming

To change the sign of array values to that of a scalar, element-wise, use the numpy.copysign() method in Python Numpy. The 1st parameter of the copysign() is the value (array elements) to change the sign of. The 2nd parameter is the sign to be copied to 1st parameter value.

The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default out=None, locations within it where the condition is False will remain uninitialized.

## Steps

At first, import the required library −

import numpy as np

Create an array −

arr = np.array([10, 87, -45, -7.9, 6.5, 89])


Display the array −

print("Array...\n", arr)

Get the type of the array −

print("\nOur Array type...\n", arr.dtype)


Get the dimensions of the Array −

print("\nOur Array Dimensions...\n",arr.ndim)

Get the number of elements in the Array −

print("\nNumber of elements...\n", arr.size)


To change the sign of array values to that of a scalar, element-wise, use the numpy.copysign() method in Python Numpy. The 1st parameter of the copysign() is the value (array elements) to change the sign of. The 2nd parameter is the sign to be copied to 1st parameter value −

print("\nResult...\n",np.copysign(arr, -1))

## Example

import numpy as np

# Create an array
arr = np.array([10, 87, -45, -7.9, 6.5, 89])

# Display the array
print("Array...\n", arr)

# Get the type of the array
print("\nOur Array type...\n", arr.dtype)

# Get the dimensions of the Array
print("\nOur Array Dimensions...\n",arr.ndim)

# Get the number of elements in the Array
print("\nNumber of elements...\n", arr.size)

# To change the sign of array values to that of a scalar, elementwise, use the numpy.copysign() method in Python Numpy
# The 1st parameter of the copysign() is the value (array elements) to change the sign of.
# The 2nd parameter is the sign to be copied to 1st parameter value.
print("\nResult...\n",np.copysign(arr, -1))

## Output

Array...
[ 10. 87. -45. -7.9 6.5 89. ]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
6

Result...
[-10. -87. -45. -7.9 -6.5 -89. ]