Numpy Comparison Functions - numpy equal, not_equal, less, greater, greater equal function with example

In this numpy tutorial, we will discuss different comparison operations performed on the given numpy array:

• numpy equal function,
• numpy function not_equal,
• numpy less function,
• numpy greater function,
• numpy greater equal,

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Introduction

numpy stands for numeric python which is used to perform mathematical operations on arrays.

It is a module in which we have to import from the python. 

Syntax to import:

import numpy

We can also use alias for the module 

For example,

import numpy as np

We can directly use np to call the numpy module.

Array

An array is an one dimensional data structure used to store single data type data.

I.E It will only store all integer data or all string type data.or all float type data.

We can create an numpy array by using array() function.

Syntax:

numpy.array(elements)

where, elements are the input data elements.

 

numpy equal function

numpy equal functio/method is used to check the elements in the two arrays are equal or not.

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If equal - True is returned, otherwise False is returned.

Scenario:

array1=[1,2,3,4,5]

array2=[1,4,2,1,4]

Working - 

[ 1 equal 1 ] = True

[ 2 equal 4 ] = False

[ 3 equal 2 ] = False

[ 4 equal 1 ] = False

[ 5 equal 4 ] = False

Result :
[True  False False False False]

Syntax:

numpy.equal(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

Example: numpy equal function

#importing numpy module
import numpy

#creating array1
arraydata1=numpy.array([1,2,3,4,5])

#creating array2
arraydata2=numpy.array([1,2,10,4,23])

#display two arrays
print(arraydata1,arraydata2)

#check whether the two arrays are equal or not
print(numpy.equal(arraydata1,arraydata2))

In the above example, we created two arrays with 5 elements each and perform equal() operation.

Output:

[1 2 3 4 5] [ 1  2 10  4 23]
[ True  True False  True False]

numpy function not_equal

numpy function not_equal method is used to check the elements in the two arrays are not equal

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If equal - False is returned, otherwise True is returned.

Note - Viceversa of equal

Scenario:

array1=[1,2,3,4,5]

array2=[1,4,2,1,4]

Working - 

[ 1 not_equal 1 ] = False

[ 2 not_equal 4 ] = True

[ 3 not_equal 2 ] = True

[ 4 not_equal 1 ] = True

[ 5 not_equal 4 ] = True

Result :
[False True True True True]

Syntax:

numpy.not_equal(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

Example: numpy function not_equal

#importing numpy module
import numpy

#creating array1
arraydata1=numpy.array([1,2,3,4,5])

#creating array2
arraydata2=numpy.array([1,2,10,4,23])

#display two arrays
print(arraydata1,arraydata2)

#check whether the two arrays are not equal
print(numpy.not_equal(arraydata1,arraydata2))

In the above example, we created two arrays with 5 elements each and perform not_equal() operation.

Output:

[1 2 3 4 5] [ 1  2 10  4 23]
[False False  True False  True]

numpy less function

numpy less function\method is used to check the elements in first array are less than the elements in the second array.

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If less - True is returned, otherwise False is returned.

 

Scenario:

array1=[1,2,3,4,5]

array2=[1,4,2,1,4]

Working - 

[ 1 less 1 ] = False

[ 2 less 4 ] = True

[ 3 less 2 ] = False

[ 4 less 1 ] = False

[ 5 less 4 ] = False

Result :
[False True False False False]

Syntax:

numpy.less(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

Example: numpy less function

#importing numpy module
import numpy

#creating array1
arraydata1=numpy.array([1,2,3,4,5])

#creating array2
arraydata2=numpy.array([1,2,10,4,23])

#display two arrays
print(arraydata1,arraydata2)

#perform less() comparison operation
print(numpy.less(arraydata1,arraydata2))

In the above example, we created two arrays with 5 elements each and perform less() operation.

Output:

[1 2 3 4 5] [ 1  2 10  4 23]
[False False  True False  True]

numpy greater function

numpy greater function/method is used to check the elements in first array are greater than the elements in the second array.

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If greater - True is returned, otherwise False is returned.

 

Scenario:

array1=[1,2,3,4,5]

array2=[1,4,2,1,4]

Working - 

[ 1 greater 1 ] = False

[ 2 greater 4 ] = False

[ 3 greater 2 ] = True

[ 4 greater 1 ] = True

[ 5 greater 4 ] = True

Result :
[False False True True True]

Syntax:

numpy.greater(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

Example: numpy greater function

#importing numpy module
import numpy

#creating array1
arraydata1=numpy.array([1,2,3,4,5])

#creating array2
arraydata2=numpy.array([1,2,10,4,23])

#display two arrays
print(arraydata1,arraydata2)

#perform greater() comparison operation
print(numpy.greater(arraydata1,arraydata2))

In the above example, we created two arrays with 5 elements each and perform greater() operation.

Output:

[1 2 3 4 5] [ 1  2 10  4 23]
[False False False False False]

 

numpy greater_equal()

numpy greater equal method is used to check the elements in first array are greater than or eual to  the elements in the second array.

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If greater or equal - True is returned, otherwise False is returned.

Syntax:

numpy.greater_equal(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

less_equal()

This  method is used to check the elements in first array are less than or eual to  the elements in the second array.

It will perform element wise comparison in both the arrays.

Return:

It will return boolean values

If greater or equal - True is returned, otherwise False is returned.

Syntax:

numpy.less_equal(arraydata1,arraydata2)

where,

1. arraydata1 is the first input array
2. arraydata2 is the second input array.

Example:

In this example, we will perform the above comparison operations

#importing numpy module
import numpy

#creating array1
arraydata1=numpy.array([1,2,3,4,5])

#creating array2
arraydata2=numpy.array([1,2,10,4,23])

#display two arrays
print(arraydata1,arraydata2)

#perform greater_equal() comparison operation
print(numpy.greater_equal(arraydata1,arraydata2))

print()

#perform less_equal() comparison operation
print(numpy.less_equal(arraydata1,arraydata2))

Output:

[1 2 3 4 5] [ 1  2 10  4 23]
[ True  True False  True False]

[ True  True  True  True  True]