LAB 6 NDARRAY in python

Write short scripts to create and use numpy arrays. Write each program in a separate cell or cells.

1. Create a numpy array variable A using np.ndarray function. Specify the array shape to be 5x20 and load it with a sequence of floating point numbers from 0 to 100. After creating A, show its contents, object type, data type, shape, and flags. Notice if the array data is stored I row or column major order.
2. Reshape the array A into a new array B with shape 10x10 and print its contents.
3. Print the element values in row 3 of array B.
4. Print the element values in row 3 of array B in reverse order.
5. Replace the elements of column 5 of array A with their square root and print the array A.
6. Create a matrix of shape 100x100 of random integers in the interval [-1,2). Sum each row of values and plot a bar graph of the values. (You have just created a 1D random walk of 100 walkers each taking 100 steps).