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NumPy program to create an element-wise comparison using NumPy.

In this python numpy program, we will create an element-wise comparison using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Create an element-wise comparison greater equal using ( >= ).
Print the output.

				
					import numpy as np
x = np.array([6,4])
y = np.array([6,3])

print(x >= y)

Output :

				
					[ True  True]

create an element-wise comparison (greater than).

create an element-wise comparison (less than).

NumPy program to create an element-wise comparison using NumPy.

In this python numpy program, we will create an element-wise comparison using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Create an element-wise comparison greater than using ( > ).
Print the output.

				
					import numpy as np
x = np.array([8,3])
y = np.array([9,1])

print(x>y)

Output :

				
					[False  True]

test whether two arrays are element-wise equal.

create an element-wise comparison (greater equal).

Test whether two arrays are element-wise equal using NumPy.

In this python numpy program,we will test whether two arrays are element-wise equal using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Test whether two arrays are element-wise equal using equal to (==).
Print the output.

				
					import numpy as np
x = np.array([3,8,5])
y = np.array([3,8,5])

print(x==y)

Output :

				
					[ True  True  True]

test whether a number is scalar or not.

create an element-wise comparison (greater than).

Test whether a number is scalar or not using NumPy.

In this python numpy program, we will test whether a number is scalar or not using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Test whether a number is scalar or not using np.isscalar().
Print the output.

				
					import numpy as np
x = 8.9
print(np.isscalar(x))

y = [8.9]
print(np.isscalar(y))

Output:

				
					True
False

test element-wise for real numbers of a given array.

test whether two arrays are element-wise equal.

Test element-wise for real numbers of a given array using NumPy.

In this python numpy program, we will test element-wise for real numbers of a given array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Test element-wise for real numbers of a given array using np.isreal().
Print the output.

				
					import numpy as np
x = np.array([2,4,6+9j,7])

print(np.isreal(x))

Output :

				
					[ True  True False  True]

test element-wise for complex numbers of a given array.

test whether a number is scalar or not.

Test element-wise for complex numbers of a given array using NumPy.

In this python numpy program, we will test element-wise for complex numbers of a given array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array()
Test element-wise for complex numbers of a given array using np.iscomplex().
Print the output.

				
					import numpy as np
x = np.array([2,4,6+9j,7])

print(np.iscomplex(x))

Output :

				
					[False False  True False]

test element-wise for NaN of a given array.

test element-wise for real numbers of a given array.

Test element-wise for NaN of a given array using NumPy.

In this python numpy program, we will test element-wise for NaN of a given array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
test element-wise for NaN of a given array using np.isnan().
It will return True if an element is NaN (i.e. not a number).
Print the output.

				
					import numpy as np
x = np.array([2,4,np.nan,7])

print(np.isnan(x))

Output :

				
					[False False  True False]

test a given array element-wise is finite or not.

test element-wise for complex numbers of a given array.

Test a given array element-wise is finite or not using NumPy.

In this python numpy program, we will test a given array element-wise is finite or not using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Test whether a given array element-wise is finite or not using np.isfinite(),
It will return True if an element is finite else False.
Print the output.

				
					import numpy as np
x = np.array([6,8,3,np.inf])

print(np.isfinite(x))

Output :

				
					[ True  True  True False]

test whether none of the elements of a given array is zero.

test element-wise for NaN of a given array.

Test whether none of the elements of a given array is zero using NumPy.

In this python numpy program, we will test whether none of the elements of a given array is zero using Numpy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Test whether none of the elements of a given array is zero using np.all().
Print the output.

				
					import numpy as np
x = np.array([6,0,1,0])

print(np.all(x))

Output :

				
					False

Test whether none of the elements of a given array is zero using NumPy.

In this python numpy program, we will test whether none of the elements of a given array is zero using Numpy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Test whether none of the elements of a given array is zero using np.all().
Print the output.

				
					import numpy as np
x = np.array([6,8,3,5])

print(np.all(x))

Output :

				
					True

get the NumPy version

test a given array element-wise is finite or not.