Python Plotly Geospatial Visualization

In this article we want to learn about Python Plotly Geospatial Visualization, In the world of data analysis and visualization, geospatial data presents unique challenges and opportunities. Python has different libraries and It provides powerful tools for creating interactive geospatial visualizations, in this article we want to talk that how we can use Python for geospatial visualization, so Plotly is a popular and powerful graphing library, it offers different visualization options, including support for geospatial data.



First of all we need to install this library and we can use pip for that.



Now we need to import our required modules from Plotly.


For our example, let’s assume that we have a dataset, and it contains all information about earthquakes around the world. We will load this data, which typically includes latitude and longitude coordinates into Python. Also we need a shapefile (a common geospatial vector data format) that defines the borders of countries or regions to overlay on our map.


With the data loaded, we can now proceed to visualize the earthquakes on a map. This is an example of that:

In this example, we have created scattergeo trace using the earthquake data, we have specified the longitude and latitude columns. We customized the marker style and defined the layout for the map. and lastly we creates a figure and display it using




This is the complete code for this tutorial




Run your code and this is the output

 Python Plotly Geospatial Visualization
Python Plotly Geospatial Visualization



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