Define a Python function named borough_count that has one parameter. The parameter is a string representing…

Define a Python function named borough_count
that has one parameter. The parameter is a string representing the
name of a CSV file. The CSV file is a subset of NYCs dataset of
all film permits issued since April 2016. Each row in the CSV file
has the format:

Event Id, Police Precinct(s), Event Type, Borough, Category

Your function must return a dictionary. The keys of this dictionary
will be the boroughs read in from the file (boroughs are at index
3). The values in the dictionary will be a list containing the
event ids of the permits (records) issued for that boroughs (event
id are at index 0). To do this, you will need to use a CSV reader
to read in the file and process it row-by-row.

Data for police precinct(s) may include commas, so
it is important you use the build-in CSV libraries.

(Hint: When processing a row, the borough may not have been
added as a key to your accumulator. Using Dictionarys get function
allows you to retrieve a boroughs list (if it is already a key) OR
specify an empty list if it is not.)
Sample test cases:

borough_count(“empty.csv”) would evaluate to { }
(finds bug if accumulator variable not initialized
correctly)

borough_count(“simple.csv”) would evaluate to { Bronx :
[244863,446401], Queens : [186438] } (finds
bug if accumulator variable not updated correctly)
Define a Python function named borough_count that has one parameter. The parameter is a string representing the name of a CSV file. The CSV file is a subset of NYCs dataset of all film permits issued since April 2016. Each row in the CSV file has the format: Event Id, Police Precinct(s), Event Type, Borough, Category Your function must return a dictionary. The keys of this dictionary will be the boroughs read in from the file (boroughs are at index 3). The values in the dictionary will be a list containing the event ids of the permits (records) issued for that boroughs (event id are at index 0). To do this, you will need to use a CSV reader to read in the file and process it row-by-row. Data for police precinct(s) may include commas, so it is important you use the build-in CSV libraries. (Hint: When processing a row, the borough may not have been added as a key to your accumulator. Using Dictionarys get function allows you to retrieve a boroughs list (if it is already a key) OR specify an empty list if it is not.) Sample test cases: borough_count (“empty.csv”) would evaluate to { } (finds bug if accumulator variable not initialized correctly) borough_count(“simple.csv) would evaluate to { Bronx: [244863, 446401], Queens: [186438] } (finds bug if accumulator variable not updated correctly)