python for data science

A-5. A-5: Create a random integer numpy two-dimensional array of size 59, where the integer values range from 1 to 100 (100 inclusive). Set the random generator seed to be 26 . Call the array as S. Print the dimensions, shape, and size of S. (4 marks) A-6. Print alternate columns starting from column indexed 3 and all the rows of S. (3 marks) A-7. Create a new numpy array M1 that contains third-row elements of S in order of column 8, then 5, then 3, then 1. Similarly, create a new array M2 that contains fourth-row elements in order of column 9 , then column 7 , then column 2 , then 8. (4 marks) A-8. Create a new one-dimensional array by joining M1 and M2. Create another new two-dimensional array by vertically joining M2 below M1