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In this video, we'll create Folium maps from raw CSV data in Python. We'll learn how to read in the data, transform it to extract the information we need (latitude/longitude), and create Folium maps based on this data.
The source data can be found here: https://catalog.data.gov/dataset/electric-vehicle-charging-stations
We'll learn how to add Markers to the map, how to use popups to display text on markers, and how to cluster markers together dynamically using the FastMarkerCluster.
๐ ๐๐ต๐ฎ๐ฝ๐๐ฒ๐ฟ๐:
00:00 Intro
00:57 Reading CSV data into Python application
03:31 Using string manipulation to extract latitude/longitude
06:25 Creating a map using Folium
07:43 Adding Markers to the Folium map from the data
09:51 Adding popups displaying text on the Folium markers
10:36 Clustering markers with the FastMarkerCluster
๐ฆ๐ผ๐ฐ๐ถ๐ฎ๐น ๐ ๐ฒ๐ฑ๐ถ๐ฎ:
๐ Blog: https://www.bugbytes.io/posts/
๐พ Github: https://github.com/bugbytes-io/
๐ ๐๐๐ฟ๐๐ต๐ฒ๐ฟ ๐ฟ๐ฒ๐ฎ๐ฑ๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐ถ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป:
Dataset: https://catalog.data.gov/dataset/electric-vehicle-charging-stations
Folium: https://python-visualization.github.io/folium/
FastMarkerCluster: https://python-visualization.github.io/folium/plugins.html#folium.plugins.FastMarkerCluster
#python #gis #mapping #datascience
