SpatialDataFrame

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A collection of 2 posts

Loading a Previously Saved SpatialDataFrame from CSV

Increasingly I find myself working with SpatialDataFrames for analysis in Jupyter Notebooks in Python. Much of the time the easiest way to save results for future work is saving to a CSV file. This CSV file can then be loaded back into another notebook as an active SpatialDataFrame for further

Python

Creating a SpatialDataFrame from a Web GIS Item

The relatively recent addition of the SpatialDataFrame object to the ArcGIS Python API was a gigantic leap forward. The SpatialDataFrame marries the common data structure used for data munging and data science, the Pandas DataFrame, with ArcGIS in a familiar (for data scientists at least) and user friendly environment, Jupyter