![]() Therefore, the GeoDataFrame has a column that indicates whether the geometrical points belong to the KML map or not. Use GeoPandas to read the KML map and assign the result to an object: gpd.io._drivers = 'rw' my_map = gpd.read_file('my_map.kml', driver='KML') my_map Suppose you have a map KML file, called ‘my_map.kml’, and a latitude and longitude dataset, called ‘lat_long_dataset.csv’. To import libraries, you can do: import geopandas as gpd from shapely.geometry import Point, Polygon import pandas as pd Reading dataset and KML file You can start by installing Pandas, GeoPandas and Shapely: python3 -m pip install geopandas python3 -m pip install ![]() The manipulation and analysis of objects are performed by the Shapely library. GeoPandas extends the datatypes used by Pandas to allow spatial operations on these geometric types. Geometric data types are used, such as Point or Polygon. GeoPandas is an open source project to work with geospatial data in Python. In order to check coordinates of a latitude and longitude dataset in a map KML file, let’s use Python! How can Python help you? KML is a file format used to display geographic data and maps. In many approaches, it is desirable to verify whether a geographic location belongs to a specific map file type called KML (Keyhole Markup Language). ![]() Therefore, when we receive a new order it is important that the platform is able to recognize whether the geographic location (latitude and longitude, postal code, etc.) belongs to the established delivery area. Through this platform, sellers are able to manage their orders, coming from all these marketplaces in a single environment. Python is a language that I use a lot on a day-to-day basis and now, I’m going to show you an example of how this powerful language can be useful! The need to check geographic coordinatesĭelivery Center is a Brazilian company that acts as an integrating platform for Marketplaces such as iFood, Rappi and several others. My name is Egmara and I’m a Data Scientist at Delivery Center. Using Python to check geographic coordinates on a KML map ![]()
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