python numpy library

answer 1,2 and 3

Answer the following question based on using Python Numpy Library: Question 1 (10 Points) First, create a random numpy array of 20 rows and 5 columns and answer the following: 1. What is the average value of the second column 2. What is the average value of the first 5 rows of the third and fourth columns? 3. Create a copy of the array and change each element to 'O' in the first 3 rows. 4. Change the value of each element in the array to 0.5 if the actual value is >=0.5 Question 2 (10 Points) Following are the average monthly temperature of Baltimore. Min Max Jan 30.5 48.2 Feb 38.4 50.3 March 48.1 58.7 April 56.8 61.9 May 65.2 70.5 June 75.9 82.4 July 83.6 88.2 Aug 86.5 93.1 Sep 75.3 86.7 Oct 64.6 77.5 Nov 58.1 67.2 Doc 45.4 53.6 a) Store the above information in a NumPy array b) Calculate the mean, highest and lowest temperature from the above array c) What is the average min and max temperatures in the last quarter (Oct-Dec) of the year. d) Use a dot product operation to print the average temperature ((min-max)/2) of each month. Question 3 (30 Points) Use NumPy random-number generation to create an array of 30 random grades in the range of 60 through 100, then reshape the result into a 10-by-3 array (which will act dally represent the Midterm 1, Midterm 2 and Final grade of 10 students) a) Calculate the average of all the grades. b) Calculate the average of the grades in each column and each row. c) Calculate the average of the grade of the first two and last two students. d) Calculate the average of Midterm 1 and Midterm 2 grades of the first 5 students. e) Write functions median and mode that use existing NumPy capabilities to determine the median (middle) and mode (most frequent) of the values in the array. f) Test your function on three arrays of different shapes. g) Modify your functions to allow the user to provide an axis keyword argument so the calculations can be performed row-by-row or column-by- column on the above two-dimensional array