Subtract arguments element-wise in Numpy

NumpyServer Side ProgrammingProgramming

To subtract arguments element-wise, use the numpy.subtract() method in Python Numpy. 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 two 2D arrays −

arr1 = np.array([[5, 10, 15], [25, 30, 35]])
arr2 = np.array([[7, 14, 21], [28, 35, 56]])

Display the arrays −

print("Array 1...
", arr1) print("
Array 2...
", arr2)

Get the type of the arrays −

print("
Our Array 1 type...
", arr1.dtype) print("
Our Array 2 type...
", arr2.dtype)

Get the dimensions of the Arrays −

print("
Our Array 1 Dimensions...
",arr1.ndim) print("
Our Array 2 Dimensions...
",arr2.ndim)

Get the shape of the Arrays −

print("
Our Array 1 Shape...
",arr1.shape) print("
Our Array 2 Shape...
",arr2.shape)

To Subtract arguments element-wise, use the numpy.subtract() method in Python Numpy −

print("
Result (subtract element-wise)...
",np.subtract(arr1, arr2))

Example

import numpy as np

# Create two 2D arrays
arr1 = np.array([[5, 10, 15], [25, 30, 35]])
arr2 = np.array([[7, 14, 21], [28, 35, 56]])

# Display the arrays
print("Array 1...
", arr1) print("
Array 2...
", arr2) # Get the type of the arrays print("
Our Array 1 type...
", arr1.dtype) print("
Our Array 2 type...
", arr2.dtype) # Get the dimensions of the Arrays print("
Our Array 1 Dimensions...
",arr1.ndim) print("
Our Array 2 Dimensions...
",arr2.ndim) # Get the shape of the Arrays print("
Our Array 1 Shape...
",arr1.shape) print("
Our Array 2 Shape...
",arr2.shape) # To Subtract arguments element-wise, use the numpy.subtract() method in Python Numpy print("
Result (subtract element-wise)...
",np.subtract(arr1, arr2))

Output

Array 1...
[[ 5 10 15]
[25 30 35]]

Array 2...
[[ 7 14 21]
[28 35 56]]

Our Array 1 type...
int64

Our Array 2 type...
int64

Our Array 1 Dimensions...
2

Our Array 2 Dimensions...
2

Our Array 1 Shape...
(2, 3)

Our Array 2 Shape...
(2, 3)

Result (subtract element-wise)...
[[ -2 -4 -6]
[ -3 -5 -21]]
raja
Updated on 07-Feb-2022 11:49:00

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