Constant Integer SIZE = 10 Declare Integer values [SIZE] a.  How many elements does the array have? b. What is the subscript of the first element in the array?  c. What is the subscript of the last element in the array?

How do you keep track of items with data in an array that is only partly filled?

# Declare a named constant for array size here. MAX_AVERAGES = 8 # Declare array here. # Write a loop to get batting averages from user and assign to array. averageString = input("Enter a batting average: ") battingAverage = float(averageString) # Assign value to array. # Assign the first element in the array to be the minimum and the maximum. minAverage = averages[0] maxAverage = averages[0] # Start out your total with the value of the first element in the array. total = averages[0] # Write a loop here to access array values starting with averages[1] # Within the loop test for minimum and maximum batting averages. # Also accumulate a total of all batting averages. # Calculate the average of the 8 batting averages. # Print the batting averages stored in the averages array. # Print the maximum batting average, minimum batting average, and average batting average. This is on mindtap pyton what needs to be fix

python: numpy def purchases(transactions):    """    QUESTION 7    - A high-end store is trying to evaluate the total amount that customer's spend per transaction. They      want customers to spend anywhere between $130 and $150 on average.    - You need to determine whether the average number spent on each transaction per month is above, between, or      below the desired amount.    - Transactions is a numpy array containing a date, total amount earned each month, and total      number of transactions each month.    - Above: month's average amount spent per transaction > 150    - Within Range: 150 >= month's average amount spent per transaction >= 130    - Below: month's average amount spent per transaction < 130    - Return a numpy array with "Above", "Within Range" and "Below" for the average amount spent per transaction per month    - THIS MUST BE DONE IN ONE LINE    HINT: use np.where() and convert the type of each column to float     Args:        transactions…