parking citations icon

Parking Citations Python Library

From the CORGIS Dataset Project

By Sam Donald
Version 1.0.0, created 10/28/2022
Tags: Parking Fines, Cars, Tickets

Overview

This dataset provides information about parking citations in the city of Norfolk. Data provided about the citations includes: time and date issued, violation type and code, location, state of vehicle registration, license plate numbers, make, model, and color of the vehicle, amount of parking citation fine.

https://data.norfolk.gov/Government/Parking-Citations/ei2q-6g8n

Explore Structure

Each row represents A individual parking citation.

Index Type Example Value
0 dict { }
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"Data" dict { }
"Date" dict { }
Key Type Example Value Description
"Number Plate" str "UZD5497" Car number plate
"State" str "VA" State of number plate
"Car" dict { }
"Location" str "E VIRGINIA BEACH BOULEVARD" Citation location
"Violation" str "HANDICAPPED PARKING " Violation
"Fine" float 440.0 Fine amount
Key Type Example Value Description
"Make" str "Suzuki" Car make
"Style" str "Sports Utility Veh" Car style
"Color" str "Blue" Car color
Key Type Example Value Description
"Year" int 2020 Year of the citation
"Month" int 8 Month of the citation
"Day" int 3 Day of the citation
"Time" dict { }
Key Type Example Value Description
"Hour" int 7 Hour of the citation
"Minute" int 8 Minute of the citation

Downloads

Download all of the following files.

  1. parking_citations.py
  2. parking_citations.data

Usage

import parking_citations
citation = parking_citations.get_citation()

Documentation

get_citation()
Returns a list of dictionaries representing Citation.