Geocoding Addresses README

Overview

This project provides a set of Python functions to load address data from a CSV file, geocode the addresses to obtain their coordinates, and save the geocoded data back to a CSV file. The geocoding is performed using the geopandas library.

Features

• Load address data from a CSV file into a Pandas DataFrame.
• Geocode addresses to get latitude and longitude coordinates.
• Save the geocoded data to a new CSV file.

Requirements

• Python 3.6 or higher
• pandas
• geopandas

You can install the required libraries using pip:

pip install pandas geopandas

Functions

load_data(filename, sep=",", encoding='utf-8')

Loads data from a CSV file into a DataFrame.

Arguments:

• filename (str): Path to the CSV file.
• sep (str, optional): Delimiter character in the CSV file. Defaults to ','.
• encoding (str, optional): Encoding of the CSV file. Defaults to 'utf-8'.

Returns:

• pandas.DataFrame: DataFrame with loaded data.

geocode_addresses(df, provider="arcgis", user_agent=None, timeout=None)

Geocodes addresses in a DataFrame, adding a column with coordinates.

Arguments:

• df (pandas.DataFrame): DataFrame with addresses.
• provider (str, optional): Name of the geocoding provider. Defaults to 'arcgis'.
• user_agent (str, optional): User agent for requests to the geocoder.
• timeout (int, optional): Timeout for requests to the geocoder (in seconds).

Returns:

• pandas.DataFrame: DataFrame with added coordinates.

save_data(df, output_filename)

Saves a DataFrame with geocoded data to a CSV file.

Arguments:

• df (pandas.DataFrame): DataFrame with geocoded data.
• output_filename (str): Path to the output CSV file.

Running the Script

To run the script, execute the following command in your terminal:

python your_script_name.py

Replace your_script_name.py with the name of your Python file.