Blogs - Page 57 Of 113

Change the data type of an array using NumPy

In this python numpy program, we will change the data type of an array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Change the data type of an array using astype(float) and store the result in another variable.
Print the output.

				
					import numpy as np
x = np.array([[4,8,7],[2,3,6]])
print("Old: \n",x)
y = x.astype(float)
print("New: \n",y)

Output :

				
					Old: 
 [[4 8 7]
 [2 3 6]]
New: 
 [[4. 8. 7.]
 [2. 3. 6.]]

find the indices of the minimum value of an array.

find the ith element of an array.

Find the indices of the minimum value of an array using NumPy

In this python numpy program, we will find the indices of the minimum value of an array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Find the indices of the minimum value of the array using np.argmin().
Print the output.

				
					import numpy as np
x = np.array([76,36,56,90])

print("Index of minimum Values: ",np.argmin(x))

Output :

				
					Index of manimum Values:  1

find the indices of the maximum value of an array.

change the data type of an array.

Find the indices of the maximum value of array using NumPy

In this python numpy program, we will find the indices of the maximum value of array using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Find the indices of the maximum value of the array using np.argmax().
Print the output

				
					import numpy as np
x = np.array([76,36,56,90])

print("Index of maximum Values: ",np.argmax(x))

Output :

				
					Index of maximum Values:  3

find the union of two arrays.

find the indices of the minimum value of an array.

Find the union of two arrays using NumPy

In this python numpy program, we will find the union of two arrays using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Find the union of two arrays using np.union1d().
Print the output

				
					import numpy as np
x = np.array([56,18,28,36])
y = np.array([76,36,56,90])

print(np.union1d(x,y))

Output :

				
					[18 28 36 56 76 90]

find the set difference between two arrays.

find the indices of the maximum value of an array.

Find the set difference between two arrays using NumPy

In this python numpy program, we will find the set difference between two arrays using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Find the set difference between two arrays using np.setdiff1d().
Print the output

				
					import numpy as np
x = np.array([56,18,28,36])
y = np.array([76,36,56])

print(np.setdiff1d(x,y))

Output :

				
					[18 28]

get the unique elements of an array.

find the union of two arrays.

Get the unique elements of an array using NumPy

In this python numpy program, we will get the unique elements of an array using NumPy

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Find unique elements of the array using np.unique().
Print the output

				
					import numpy as np
x = np.array([25,33,10,45,33,10])

print(np.unique(x))

Output :

				
					[10 25 33 45]

find common elements between two arrays.

find the set difference between two arrays.

Find common elements between two arrays using NumPy

In this python numpy program, we will find common elements between two arrays using NumPy.

Steps to solve the program

Import the numpy library as np.
Create two arrays using np.array().
Find common elements between two arrays using np.intersect1d().
Print the output

				
					import numpy as np
x = np.array([56,18,28,36])
y = np.array([76,36,56])

print(np.intersect1d(x,y))

Output :

				
					[36 56]

find the real and imaginary parts of an array of complex numbers.

get the unique elements of an array.

Find the real and imaginary parts of an array of complex numbers using NumPy.

In this python numpy program, we will find the real and imaginary parts of an array of complex numbers using NumPy.

Steps to solve the program

Import the numpy library as np.
Create an array of complex numbers using np.array().
Find the real and imaginary parts of an array of complex numbers using real and imag.
Print the output.

				
					import numpy as np
x = np.array([6+2j,10+5j])
print("Real part: ",x.real)
print("Imaginary part: ",x.imag)

Output :

				
					Real part:  [ 6. 10.]
Imaginary part:  [2. 5.]

add a row of a matrix into another row.

find common elements between two arrays.

program to add a row of a matrix into another row using NumPy

In this python numpy progra, we will add a row of a matrix into another row using NumPy.

Steps to solve the program

Import the numpy library as np.
Create a matrix using np.array().
Add row of the matrix to another row of the same matrix using Indexing and logic.
Print the output.

				
					import numpy as np
x = np.array([[6, 5],
              [10, 9],
              [8, 7]])
print("Original matrix: ",x)
x[0,:] = x[0,:]+x[1,:]
print("After addition: ",x)

Output :

				
					Original matrix:  [[ 6  5]
 [10  9]
 [ 8  7]]
After addition:  [[16 14]
 [10  9]
 [ 8  7]]

multiply a row of an array by a scalar.

find the real and imaginary parts of an array of complex numbers.

Program to multiply a row of an array by a scalar using NumPy

In this python numpy program, we will multiply a row of an array by a scalar using NumPy

Steps to solve the program

Import the numpy library as np.
Create an array using np.array().
Multiply a row of an array by a scalar using Indexing and logic.
Print the output

				
					import numpy as np
x = np.array([[6, 5],
              [10, 9],
              [8, 7]])
print("Original matrix: ",x)
x[0,:] = x[0,:]*2

print("After multiplyting first row by 2: ",x)

Output :

				
					Original matrix:  [[ 6  5]
 [10  9]
 [ 8  7]]
After multiplyting first row by 2:  [[12 10]
 [10  9]
 [ 8  7]]

swap rows of a given array.

add a row of a matrix into another row.