I wrote a Python script that uses the Pandas library to deal with missing longitude and latitude data in a dataset. The script starts by reading a CSV file called ‘Data.csv’ and creating a Pandas DataFrame (data_df). The dataset most likely contains information about cities, but some geographic coordinates may be missing.
To tackle this problem, the script generates two dictionaries: one for matching cities to their longitude values (city_longitude_mapping) and another for latitude values (city_latitude_mapping). These dictionaries are created by removing rows with missing values in the respective columns, eliminating duplicate cities, and setting the city as the index.
The script then uses the Pandas fillna method to fill in the missing values in the ‘longitude’ and ‘latitude’ columns. It does this by utilizing the dictionaries created earlier to map each city to its corresponding geo-coordinate, effectively filling in the gaps in the dataset.
Thank You!