get_topx_hotspots() that takes the 2D-list (similar to database), a dictionary (similar to dict) and an integer x as input parameters. This function computes the total number of cases reported in each PHU, and returns a dictionary containing the top x hotspots (x number of PHUS with the largest number of reported cases). Each key:value pair in this resulting dictionary represents a Reporting_PHU_ID as the key and the value is the total numbers of cases reported in this PHU. The result does not need to be sorted, the PHUS of the resulting dictionary can appear in any order as long as the top-x PHUS have been identified correctly. If the value of x is 0 or less, or more than the total number of unique IDs, your function should print a message and return an empty dictionary. See sample outputs below. >>> hotspots = get_topx_hotspots(database, dict, -1) >>> display_dict(hotspots) The value of x is. too low or too high. Dictionary is empty

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9 of 16
4913: [[ 66, ]]
- + Automatic Zoom
(h) get_topx_hotspots() that takes the 2D-list (similar to database), a dictionary
(similar to dict) and an integer x as input parameters. This function computes the total
number of cases reported in each PHU, and returns a dictionary containing the top x hotspots
(x number of PHUS with the largest number of reported cases). Each key:value pair in this
resulting dictionary represents a Reporting_PHU_ID as the key and the value is the total
numbers of cases reported in this PHU.
The result does not need to be sorted, the PHUS of the resulting dictionary can appear in any
order as long as the top-x PHUS have been identified correctly. If the value of x is 0 or less,
or more than the total number of unique IDs, your function should print a message and return
an empty dictionary. See sample outputs below.
>>> hotspots = get_topx_hotspots(database, dict, -1)
>>> display_dict(hotspots)
The value of x is. too low or too high.
Dictionary is empty
Page 9 of 16
ENG
1:05 AM
US
2021-11-
3°C
Transcribed Image Text:9 of 16 4913: [[ 66, ]] - + Automatic Zoom (h) get_topx_hotspots() that takes the 2D-list (similar to database), a dictionary (similar to dict) and an integer x as input parameters. This function computes the total number of cases reported in each PHU, and returns a dictionary containing the top x hotspots (x number of PHUS with the largest number of reported cases). Each key:value pair in this resulting dictionary represents a Reporting_PHU_ID as the key and the value is the total numbers of cases reported in this PHU. The result does not need to be sorted, the PHUS of the resulting dictionary can appear in any order as long as the top-x PHUS have been identified correctly. If the value of x is 0 or less, or more than the total number of unique IDs, your function should print a message and return an empty dictionary. See sample outputs below. >>> hotspots = get_topx_hotspots(database, dict, -1) >>> display_dict(hotspots) The value of x is. too low or too high. Dictionary is empty Page 9 of 16 ENG 1:05 AM US 2021-11- 3°C
Zoom
Duc. IVOV. 15
>>> hotspots
>>> display_dict(hotspots)
2241: ['Kingston Frontenac and Lennox & Addington Public Health', 'Total cases:
1']
2244: ['Middlesex-London Health Unit', 'Total cases: 2']
3895: ['Toronto Public Health', 'Total cases: 2']
get_topx_hotspots(database, dict, 3)
%3D
>>> hotspots
>>> display_dict(hotspots)
2241: ['Kingston Frontenac and Lennox & Addington Public Health', 'Total cases:
1']
2244: ['Middlesex-London Health Unit', 'Total cases: 2']
2265: ['"Region of Waterloo',
3895: ['Toronto Public Health', 'Total cases: 2']
= get_topx_hotspots(database, dict, 5)
'Total cases: 1']
4913: ['Southwestern Public Health', 'Total cases: 1']
(i) main(): a main() function has been supplied with this module to test your functions. All
sample outputs provided in this specification use data10.csv file. You may add your test cases
to this function using different text files. The main guard has also been added to ensure that
the main() function does not get executed if your program is imported as a module in some
other program.
ENG
3°C
Transcribed Image Text:Zoom Duc. IVOV. 15 >>> hotspots >>> display_dict(hotspots) 2241: ['Kingston Frontenac and Lennox & Addington Public Health', 'Total cases: 1'] 2244: ['Middlesex-London Health Unit', 'Total cases: 2'] 3895: ['Toronto Public Health', 'Total cases: 2'] get_topx_hotspots(database, dict, 3) %3D >>> hotspots >>> display_dict(hotspots) 2241: ['Kingston Frontenac and Lennox & Addington Public Health', 'Total cases: 1'] 2244: ['Middlesex-London Health Unit', 'Total cases: 2'] 2265: ['"Region of Waterloo', 3895: ['Toronto Public Health', 'Total cases: 2'] = get_topx_hotspots(database, dict, 5) 'Total cases: 1'] 4913: ['Southwestern Public Health', 'Total cases: 1'] (i) main(): a main() function has been supplied with this module to test your functions. All sample outputs provided in this specification use data10.csv file. You may add your test cases to this function using different text files. The main guard has also been added to ensure that the main() function does not get executed if your program is imported as a module in some other program. ENG 3°C
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