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# Return the truth value of an array equal to another element-wise in Numpy

To return the truth value of an array equal to another element-wise, use the **numpy.equal()** method in Python Numpy. Return value is either True or False.

The function returns an output array, element-wise comparison of x1 and x2. Typically of type bool, unless dtype=object is passed. This is a scalar if both x1 and x2 are scalars.

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

Creating two 2D numpy array using the array() method. We have inserted elements of int type −

arr1 = np.array([[98, 34, 61], [82, 69, 29]]) arr2 = np.array([[98, 34, 61], [81, 55, 32]])

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 return the truth value of an array equal to another element-wise, use the numpy.equal() method in Python Numpy. Return value is either True or False −

print("

Result...

",np.equal(arr1, arr2))

## Example

import numpy as np # Creating two 2D numpy array using the array() method # We have inserted elements of int type arr1 = np.array([[98, 34, 61], [82, 69, 29]]) arr2 = np.array([[98, 34, 61], [81, 55, 32]]) # 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 return the truth value of an array equal to another elementwise, use the numpy.equal() method in Python Numpy # Return value is either True or False print("

Result...

",np.equal(arr1, arr2))

## Output

Array 1... [[98 34 61] [82 69 29]] Array 2... [[98 34 61] [81 55 32]] 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... [[ True True True] [False False False]]

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