Practical_6: Numpy

Practical_6: Numpy#

Exercise 1:#

Create a NumPy array of integers from 1 to 10.

# Exercise 1

Exercise 2:#

Create a 3x3 NumPy array filled with zeros.

# Exercise 2

Exercise 3:#

Create a NumPy array of 10 evenly spaced numbers between 0 and 5.

# Exercise 3

Exercise 4:#

Create a 5x5 identity matrix using NumPy.

# Exercise 4

Exercise 5:#

Create a 4x4 matrix with random values between 0 and 1.

# Exercise 5

Exercise 6:#

Find the shape of a NumPy array.

# Exercise 6

Exercise 7:#

Reshape a 1D NumPy array of 16 elements into a 4x4 matrix.

# Exercise 7

Exercise 8:#

Find the data type of the elements in a NumPy array.

# Exercise 8

Exercise 9:#

Create a NumPy array of integers from 1 to 100 and find all even numbers in the array.

# Exercise 9

Exercise 10:#

Generate a 6x6 matrix of random integers between 10 and 50.

# Exercise 10

Exercise 11:#

Slice a 2D NumPy array to extract a submatrix.

# Exercise 11

Exercise 12:#

Calculate the sum of all elements in a NumPy array.

# Exercise 12

Exercise 13:#

Calculate the mean, median, and standard deviation of a NumPy array.

# Exercise 13

Exercise 14:#

Find the maximum and minimum values in a NumPy array.

# Exercise 14

Exercise 15:#

Create a NumPy array of 20 random integers and find the index of the maximum value.

# Exercise 15

Exercise 16:#

Create a NumPy array and reverse its elements.

# Exercise 16

Exercise 17:#

Create a 3x3 matrix and multiply it element-wise by another 3x3 matrix.

# Exercise 17

Exercise 18:#

Create a diagonal matrix from a given 1D array.

# Exercise 18

Exercise 19:#

Perform matrix multiplication on two 2D NumPy arrays.

# Exercise 19

Exercise 20:#

Flatten a 2D NumPy array into a 1D array.

# Exercise 20

Exercise 21:#

Stack two NumPy arrays vertically.

# Exercise 21

Exercise 22:#

Stack two NumPy arrays horizontally.

# Exercise 22

Exercise 23:#

Split a NumPy array into multiple sub-arrays.

# Exercise 23

Exercise 24:#

Generate a random NumPy array and round each element to two decimal places.

# Exercise 24

Exercise 25:#

Find the unique elements of a NumPy array.

# Exercise 25

Exercise 26:#

Replace all elements in a NumPy array that are less than a specific value with that value.

# Exercise 26

Exercise 27:#

Find the cumulative sum of the elements in a NumPy array.

# Exercise 27

Exercise 28:#

Create a NumPy array and find the number of non-zero elements in it.

# Exercise 28

Exercise 29:#

Create a NumPy array of random integers and sort it in ascending order.

# Exercise 29

Exercise 30:#

Find the row-wise and column-wise sum of a 3x3 matrix.

# Exercise 30

Exercise 31:#

Generate a 2D NumPy array with random values and normalize it (scale the values between 0 and 1).

# Exercise 31

Exercise 32:#

Create two NumPy arrays and find the dot product.

# Exercise 32

Exercise 33:#

Find the trace of a square NumPy matrix.

# Exercise 33

Exercise 34:#

Create a 2D array and swap two rows.

# Exercise 34

Exercise 35:#

Create a 1D NumPy array and convert it into a column vector.

# Exercise 35

Exercise 36:#

Find the determinant of a 3x3 matrix.

# Exercise 36

Exercise 37:#

Find the eigenvalues and eigenvectors of a 2x2 matrix.

# Exercise 37

Exercise 38:#

Solve a system of linear equations using NumPy.

# Exercise 38

Exercise 39:#

Add Gaussian noise to a NumPy array.

# Exercise 39

Exercise 40:#

Create a 4x4 matrix and extract the diagonal elements.

# Exercise 40

Exercise 41:#

Generate a NumPy array of 100 random values and clip the values to a range between 10 and 50.

# Exercise 41

Exercise 42:#

Create a 2D NumPy array and replace all negative values with zero.

# Exercise 42

Exercise 43:#

Find the inner and outer products of two NumPy arrays.

# Exercise 43

Exercise 44:#

Calculate the pairwise distances between points in a NumPy array.

# Exercise 44

Exercise 45:#

Create a structured NumPy array with fields for name, age, and height.

# Exercise 45

Exercise 46:#

Create a 5x5 matrix of random integers and count the occurrences of each unique value.

# Exercise 46

Exercise 47:#

Generate a random 3x3 NumPy array and subtract the mean of each row from the corresponding row.

# Exercise 47

Exercise 48:#

Create a NumPy array of random integers and check if any of the values are greater than 50.

# Exercise 48

Exercise 49:#

Calculate the moving average of a 1D NumPy array.

# Exercise 49

Exercise 50:#

Find the Pearson correlation coefficient between two NumPy arrays.

# Exercise 50

Exercise 51:#

Convert a NumPy array of radians to degrees.

# Exercise 51

Exercise 52:#

Create a random NumPy array and compute its variance and standard deviation.

# Exercise 52

Exercise 53:#

Create a 2D NumPy array and find the indices of the maximum values along each axis.

# Exercise 53

Exercise 54:#

Compute the inverse of a 2x2 NumPy matrix.

# Exercise 54

Exercise 55:#

Create a NumPy array of 10 random values and standardize it (mean 0, variance 1).

# Exercise 55

Exercise 56:#

Perform element-wise addition and subtraction on two NumPy arrays.

# Exercise 56

Exercise 57:#

Create a NumPy array of random values and find the maximum element’s index.

# Exercise 57

Exercise 58:#

Create a 3x3 NumPy array and rotate it by 90 degrees.

# Exercise 58

Exercise 59:#

Compute the Frobenius norm of a matrix.

# Exercise 59

Exercise 60:#

Create a 3D NumPy array and slice out a subarray.

# Exercise 60