Write a function print_rainfalls(rainfalls) that extends the earlier print_daily_totals(rainfalls) function so that: 1. The results are printed in a table format as shown in the example table below. The numeric column widths, from the left, are 2, 6, 9, and 9. [Note: not the same as in the lecture notes]. Averages are printed with 2 digits after the decimal point. 2. Negative numbers are ignored, as they indicate illegal values. 3. Any days that have only negative numbers should display the average as * rather than a number. The *' must be aligned with the 'r' in the column header (i.e. the 'r' in 'Average'). 4. Underneath the table there is a blank line followed by a line giving the total rainfall over all days, as shown in the examples below. n addition, you are constrained to having an indentation level of at most 5. Hint: Have you read through the lecture notes and/or watched the videos for this learning module? For example: Test Result daily_rain = [ [0, 9, 3, 7], [11, 9, 0, 0], [-1, 10, 12, 201, Day Readings Total Average 19 4.75 1 4 20 5.00 2 42 14.00 [о, -1, 0, 0], 0.00 [-1, 3, 4, 1], [2, 8, 10, 0], [-1, 0, 0, 0] 4. 8 2.67 4 20 5.00 0.00 print_rainfalls(daily_rain) Total rainfall: 109 mm more_rain = [ [0, 9, 3, 7], Day Readings Total Average 4. 19 4.75 [11, 9, 0, 0), [-1, 10, 12, 201, [0, -1, 0, 0), [-1, 3, 4, 1], 1 4 20 5.00 2 42 14.00 3 0.00 2.67 [52, 58, 90, 0], [-1, -1, -1, -1] 4 200 50.00 print_rainfalls(more_rain) Total rainfall: 289 mm

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Write a function print_rainfalls(rainfalls) that extends the earlier print_daily_totals(rainfalls) function so that:
1. The results are printed in a table format as shown in the example table below. The numeric column widths, from the left, are 2, 6, 9, and 9.
[Note: not the same as in the lecture notes]. Averages are printed with 2 digits after the decimal point.
2. Negative numbers are ignored, as they indicate illegal values.
3. Any days that have only negative numbers should display the average as *' rather than a number. The *' must be aligned with the 'r' in the
column header (i.e. the 'r' in 'Average').
4. Underneath the table there is a blank line followed by a line giving the total rainfall over all days, as shown in the examples below.
In addition, you are constrained to having an indentation level of at most 5.
Hint: Have you read through the lecture notes and/or watched the videos for this learning module?
For example:
Test
Result
daily_rain = [
[0, 9, 3, 7],
[11, 9, 0, 0],
Day Readings Total Average
4
19
4.75
1
4
20
5.00
[-1, 10, 12, 20],
[0, -1, 0, 0],
[-1, 3, 4, 1],
[2, 8, 10, 0],
[-1, 0, 0, 0]
2
42
14.00
3
0.00
4
3
8.
2.67
5
4
20
5.00
6
3
0.00
print_rainfalls(daily_rain) Total rainfall: 109 mm
more_rain = [
[0, 9, 3, 7],
[11, 9, 0, 0],
[-1, 10, 12, 201,
[0, -1, 0, 0],
[-1, 3, 4, 1],
[52, 58, 90, 0],
Day Readings Total Average
19
4.75
1
4.
20
5.00
2
42
14.00
3
0.00
4
8
2.67
4
200
50.00
[-1, -1, -1, -1]
*
print_rainfalls (more_rain)
Total rainfall: 289 mm
Transcribed Image Text:Write a function print_rainfalls(rainfalls) that extends the earlier print_daily_totals(rainfalls) function so that: 1. The results are printed in a table format as shown in the example table below. The numeric column widths, from the left, are 2, 6, 9, and 9. [Note: not the same as in the lecture notes]. Averages are printed with 2 digits after the decimal point. 2. Negative numbers are ignored, as they indicate illegal values. 3. Any days that have only negative numbers should display the average as *' rather than a number. The *' must be aligned with the 'r' in the column header (i.e. the 'r' in 'Average'). 4. Underneath the table there is a blank line followed by a line giving the total rainfall over all days, as shown in the examples below. In addition, you are constrained to having an indentation level of at most 5. Hint: Have you read through the lecture notes and/or watched the videos for this learning module? For example: Test Result daily_rain = [ [0, 9, 3, 7], [11, 9, 0, 0], Day Readings Total Average 4 19 4.75 1 4 20 5.00 [-1, 10, 12, 20], [0, -1, 0, 0], [-1, 3, 4, 1], [2, 8, 10, 0], [-1, 0, 0, 0] 2 42 14.00 3 0.00 4 3 8. 2.67 5 4 20 5.00 6 3 0.00 print_rainfalls(daily_rain) Total rainfall: 109 mm more_rain = [ [0, 9, 3, 7], [11, 9, 0, 0], [-1, 10, 12, 201, [0, -1, 0, 0], [-1, 3, 4, 1], [52, 58, 90, 0], Day Readings Total Average 19 4.75 1 4. 20 5.00 2 42 14.00 3 0.00 4 8 2.67 4 200 50.00 [-1, -1, -1, -1] * print_rainfalls (more_rain) Total rainfall: 289 mm
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