Two functions require that each function process the dictionaries' dates. These dates are the values associated with the key 'tow_date'. The dates are stored as strings and use a fixed-position format. This format makes finding information easy. For example, if a variable val was assigned to a value associated with the key 'tow_date', we can get the month and date using:

month = int(val[5]+val[6]) # Concatenates & converts month's digits

day = int(val[8]+val[9]) # Concatenates & converts days's digits

count_by_month

Define a function named count_by_month with one parameter. This parameter will be a list of dictionaries (the data). This function must return a list with a length of 12 containing the number of dictionaries with that 'tow_date' month. Remember to adjust for how we use lists (for example, January is month 1 but its count is the list's entry at index 0). You SHOULD assume that all dictionaries in the parameter will have 'tow_date'as a key.

Sample function call: count_by_month(data)

count_by_day

Define a function named count_by_day with one parameter. This parameter will be a list of dictionaries (the data). This function must return a list with a length of 31 containing the number of dictionaries with that 'tow_date' day. Remember to adjust for how we use lists (for example, the first day of each month is day 1 but its count is the list's entry at index 0). You SHOULD assume that all dictionaries in the parameter will have 'tow_date'as a key.

Sample function call: count_by_day(data)

DATA IS DEFINED BELOW

data = [ {'unique_key': '201209064DPE', 'tow_date': '2012-09-06T00:00:00.000', 'agency': 'DPE', 'vehicle_year': 0, 'vehicle_make': 'MINI', 'tow_location': 'MAIN/CUSTER', 'city': 'Buffalo', 'state': 'NY', 'zip': '14214', 'tow_reason': 'AI', 'tow_description': 'ACCIDENT', 'location_1': "{'latitude': '42.950029001582', 'longitude': '-78.827175001441'}", 'latitude': 42.95002900158201, 'longitude': -78.827175001441, 'council_district': 'UNIVERSITY', 'police_district': 'District E', 'census_tract': '47', 'census_block_group': '5', 'census_block': '5003', 'neighborhood': 'UNKNOWN'},

{'unique_key': '200801247RON', 'tow_date': '2008-01-24T00:00:00.000', 'agency': 'RON', 'vehicle_year': 1995, 'vehicle_make': 'CHEV', 'license_state': 'NY', 'tow_location': '191 14TH', 'city': 'Buffalo', 'state': 'NY', 'zip': '14213', 'tow_reason': 'IP', 'tow_description': 'ILLEGALLY PARKED', 'location_1': "{'latitude': '42.906118854478', 'longitude': '-78.886454771174'}", 'latitude': 42.90611885447759, 'longitude': -78.88645477117358, 'council_district': 'NIAGARA', 'police_district': 'District B', 'census_tract': '69.02', 'census_block_group': '1', 'census_block': '1004', 'neighborhood': 'UNKNOWN'},

{'unique_key': '201308292RIV', 'tow_date': '2013-08-29T00:00:00.000', 'agency': 'RIV', 'vehicle_year': 2000, 'vehicle_make': 'BUIC', 'license_state': 'NY', 'tow_location': '98 GREENWOOD', 'city': 'Buffalo', 'state': 'NY', 'zip': '14213', 'tow_reason': 'IP', 'tow_description': 'ILLEGALLY PARKED', 'location_1': "{'latitude': '42.92264365562', 'longitude': '-78.888887800432'}", 'latitude': 42.922643655619744, 'longitude': -78.88888780043183, 'council_district': 'NIAGARA', 'police_district': 'District D', 'census_tract': '171', 'census_block_group': '3', 'census_block': '3004', 'neighborhood': 'UNKNOWN'},

{'unique_key': '2010040512DPE', 'tow_date': '2010-04-05T00:00:00.000', 'agency': 'DPE', 'vehicle_year': 1998, 'vehicle_make': 'CHEV', 'license_state': 'NY', 'tow_location': 'SMITH/CLINTON', 'city': 'Buffalo', 'state': 'NY', 'zip': '14210', 'tow_reason': 'IL', 'tow_description': 'ILLEGAL VEHICLE', 'location_1': "{'latitude': '42.880136970577', 'longitude': '-78.844075992214'}", 'latitude': 42.88013697057658, 'longitude': -78.84407599221383, 'council_district': 'FILLMORE', 'police_district': 'District C', 'census_tract': '15', 'census_block_group': '1', 'census_block': '1029', 'neighborhood': 'UNKNOWN'}]