t reads the data of the dates and stock volumes into two separate lists. Output: The program must display the dates having the maximum and minimum trading volume of each month. In addition, the program must display the whole trade volume, average trade volume for each month and shows the month that Apple has a higher trading volume. Sample Output: ___________ has the maximum trade volume of ______________ in February. ___________ has the minimum trade volume of ______________ i
the volume of traded Apple
stocks during February and March 2022. The dates are in ascending order
with their respective trade volumes.
Input:
Write a Python program that reads the data of the dates and stock volumes
into two separate lists.
Output:
The program must display the dates having the maximum and minimum
trading volume of each month. In addition, the program must display the
whole trade volume, average trade volume for each month and shows the
month that Apple has a higher trading volume.
Sample Output:
___________ has the maximum trade volume of ______________ in February.
___________ has the minimum trade volume of ______________ in February.
___________ has the maximum trade volume of _____________ in March.
___________ has the minimum trade volume of ______________in March.
The whole trade volume of these two months is ______________.
The average trade volume of February is ______________.
The average trade volume of March is ______________.
AAPL has higher trading volume in ______________.
Coding requirements:
The program must use lists, strings and built-in list functions to
complete the task.
The program should include user defined functions to modularize the
code.
The program must include exception handling to handle IOError
exception
Date,Volume
1/02/2022,86213900
2/02/2022,84914300
3/02/2022,89418100
4/02/2022,82465400
7/02/2022,77251200
8/02/2022,74829200
9/02/2022,71285000
10/02/2022,90865900
11/02/2022,98670700
14/02/2022,86185500
15/02/2022,62527400
16/02/2022,61177400
17/02/2022,69589300
18/02/2022,82772700
22/02/2022,91162800
23/02/2022,90009200
24/02/2022,141147500
25/02/2022,91974200
28/02/2022,95056600
1/03/2022,83474400
2/03/2022,79724800
3/03/2022,76678400
4/03/2022,83737200
7/03/2022,96418800
8/03/2022,131148300
9/03/2022,91454900
10/03/2022,105342000
11/03/2022,96970100
14/03/2022,108732100
15/03/2022,92964300
16/03/2022,102300200
17/03/2022,75615400
18/03/2022,123511700
21/03/2022,95811400
22/03/2022,81532000
23/03/2022,98062700
24/03/2022,90131400
25/03/2022,80546200
28/03/2022,90371900
29/03/2022,100589400
30/03/2022,92633200
31/03/2022,103049300
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