Complete the following coding tasks. Each task should be done in its own code cell. There should be no loop used in any coding cell

a. Generate a two-dimensional integer array with the shape of (20,5) and name it data. Fill data with random integers from -100 to 100. Display data at the end.[1 mark]

b. Display the average value of the third column in data [1 mark]

c. Display the average value of the first 5 rows in data [1 mark]

d. Display the average value of the first 3 rows and the 4^th column in data. [2 marks]

e. Create a new NumPy array which contains the last 4 elements of the second row of data. Display the new array at the end. [1 mark]

f. Reshape data int to 10 x 10 matrix. Display the matrix at the end. [1 mark]

g. Calculate the std deviation of data [1 mark]

h. Replace the most largest number of each row in data with the average of the corresponding row. Display data at the end. [4 marks]

i. Create a new NumPy array which contains random 2 rows in data. Display the new array at the end. [2 marks]

j. Create a new NumPy array which contains random 3 columns in data . Display the new array at the end. [2 marks]

k. Create a new NumPy array which contains 100 random doubles drawn from a normal (Gaussian) distribution. Display the new array at the end. [2 marks]

l. Conver the data to a Panda Data Frame with the header a e and name it dataframe. Describe the dataframe at the end. [1 mark]

m. Save the dataframe into assign1.xlsx. [1 mark]

n. Save the dataframe into assign1.csv. [1 mark]

o. Replace all the negative numbers in dataframe to 0. Describe the dataframe at the end. [1 mark]

p. Replace all the zeros in the dataframe to 1. Describe the dataframe at the end. [1 mark]