Program Tasks: Write a program displayClimate.py that performs the following functionalities: a. reads the JSON file climate.json b. displays the cities as a list. c. prompts the user to enter a city or cities. d. searches for the relevant data and display(s): (i) the average rainfall for each month as a list. (ii) minimum and maximum rainfall per year. (iii) the average rainfall per year. e. The use of at least three functions (not including the main function) must be implemented in creating this program.
Note: I have the JSON file. Please let me know the code for the rest of the program or else let me know how to upload the file here so that you can help me accurately but please don't reject. this is very important to me .
The JSON file provided, climate.json, contains monthly climate data of over one-hundred destinations and
includes average high and low temperature, dry days, snow days, and rainfall, for every month.
Program Tasks:
Write a program displayClimate.py that performs the following functionalities:
a. reads the JSON file climate.json
b. displays the cities as a list.
c. prompts the user to enter a city or cities.
d. searches for the relevant data and display(s):
(i) the average rainfall for each month as a list.
(ii) minimum and maximum rainfall per year.
(iii) the average rainfall per year.
e. The use of at least three functions (not including the main function) must be implemented in creating this program.
Structure of the climate JSON file:
• JSON data works just like python dictionary and you can access the value using dictionaryName[key].
• The JSON file contains a list of 104 dictionary items and each dictionary item has 4 keys.
• The monthlyAvg key has a list as its value, which in return contains 12 dictionary items representing each month in a year.
• You may use the website https://codebeautify.org/jsonviewer and load the file into its editor. The website will display structure and details of this JSON file. Alternatively, you can view this file using any text editor.
• A snapshot of the structure of this file is shown below.
Structure of climate.json file:
[
{
"id": 1,
"city": "Amsterdam",
"country": "Netherlands",
"monthlyAvg": [
{
"high": 7,
"low": 3,
"dryDays": 19,
"snowDays": 4,
"rainfall": 68
},
{
"high": 6,
"low": 3,
"dryDays": 13,
"snowDays": 2,
"rainfall": 47
},
…
]
},
{
"id": 2,
"city": "Athens",
"country": "Greece",
"monthlyAvg": [
{
"high": 12,
"low": 7,
"dryDays": 21,
"snowDays": 1,
"rainfall": 53
},
…
]
},
…
]
Loading a JSON file:
with open('climate.json', 'r') as f:
# convert a json object into a readable python object
data = json.load(f)
Requirements that MUST be fulfilled :
a. Readability of your code and proper code documentation.
b. Use of user defined functions
Output : After user input
Enter 0 to terminate input.
Enter City to check rain fall data: Vancouver
Enter City to check rainfall data: Calgary
Enter city to check rain fall data: 0
Average monthly rain fall in mm for Vancouver:[232,122.8,154,116.4,91.7,79,41.2,54.2,67.8,158.9,250.8,208.5]
Min : 41.2 mm
Max: 250.8 mm
Average 131.44 mm
Average monthly rain fall in mm for Calgary: [11.4,10.5,17.1,28.9,60.6,113.3,59.3,58.6,35.9,17,15.8,11.2]
Min: 10.5 mm
Max: 113.3 mm
Average: 36.3 mm
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