Spatial Data Frame: Accessing local GIS data

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09-29-2020 01:07 PM
BrentDavis
New Contributor II

Introduction to the Spatial DataFrame | ArcGIS for Developers 

This article mentions that a Spatial DataFrame can be created from a local feature class using the ArcGIS API for python:

"If the ArcPy module is installed, meaning you have installed ArcGIS Pro and have installed the ArcGIS API for Python in that same environment, the SpatialDataFrame has methods to read a subset of the ArcGIS Desktop supported geographic formats, most notably:
feature classes
shapefiles,
ArcGIS Server Web Services and ArcGIS Online Hosted Feature Layers
OGC Services "

The article goes through an example where they construct a SDF using a local path to a shape file, but I'd like to build a spatial dataframe from a feature layer coming from a map in a ArcGIS pro project. Does anyone know how one could do this? 

I've looked into the documentation for the API. The arcgis.features module has the SpatialDataFrame object and a constructor method called "from_layer", but I am not sure how to pass a FeatureLayer object to it.  Is there a way to construct a FeatureLayer object from a local feature layer?

I was able to host the feature layer on AGOL and then create the spatial data frame from there, but I'd like to bypass having to host it.

2 Solutions

Accepted Solutions
by Anonymous User
Not applicable

Hi Brent Davis‌,

Try using the from_featureclass() method - this one supports featureclass-like entities including shapefiles, and feature layers from a map in an ArcGIS Pro project.

As an example - running this code within an ArcGIS Pro session should create a spatial dataframe from the first layer in the first map of the current project. 

import arcgis,arcpy

aprx = arcpy.mp.ArcGISProject("CURRENT")
project_map = aprx.listMaps()[0]
lyr = project_map.listLayers()[0]

sdf = arcgis.features.SpatialDataFrame.from_featureclass(lyr)

 Hope that helps!

Cheers,

James

View solution in original post

MehdiPira1
Esri Contributor

Brent Davis,

or you can use the most updated module called GeoAccessor  and GeoSeriesAccessor to achieve this:

from arcgis.features import GeoAccessor, GeoSeriesAccessor
from arcgis.gis import GIS
import pandas as pd
import arcpy

aprx = arcpy.mp.ArcGISProject("CURRENT" or path to aprx)
project_map = aprx.listMaps("map name")[0]
lyr = project_map.listLayers("layer name")[0]

sdf = pd.DataFrame.spatial.from_featureclass(lyr)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

‌for more information about GeoAccessor refer to the link below:

arcgis.features module — arcgis 1.8.2 documentation 

View solution in original post

4 Replies
by Anonymous User
Not applicable

Hi Brent Davis‌,

Try using the from_featureclass() method - this one supports featureclass-like entities including shapefiles, and feature layers from a map in an ArcGIS Pro project.

As an example - running this code within an ArcGIS Pro session should create a spatial dataframe from the first layer in the first map of the current project. 

import arcgis,arcpy

aprx = arcpy.mp.ArcGISProject("CURRENT")
project_map = aprx.listMaps()[0]
lyr = project_map.listLayers()[0]

sdf = arcgis.features.SpatialDataFrame.from_featureclass(lyr)

 Hope that helps!

Cheers,

James

BrentDavis
New Contributor II

Awesome! Thank you.  

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MehdiPira1
Esri Contributor

Brent Davis,

or you can use the most updated module called GeoAccessor  and GeoSeriesAccessor to achieve this:

from arcgis.features import GeoAccessor, GeoSeriesAccessor
from arcgis.gis import GIS
import pandas as pd
import arcpy

aprx = arcpy.mp.ArcGISProject("CURRENT" or path to aprx)
project_map = aprx.listMaps("map name")[0]
lyr = project_map.listLayers("layer name")[0]

sdf = pd.DataFrame.spatial.from_featureclass(lyr)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

‌for more information about GeoAccessor refer to the link below:

arcgis.features module — arcgis 1.8.2 documentation 

BrentDavis
New Contributor II

Thank you. Works beautifully.

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