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@WendyHarrison - I could have swore I already tried that and it didn't work, but I must be mistaken. That did exactly what I needed. Thank you!
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11-30-2021
08:13 AM
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If you're not in Pro, but rather in a stand-alone jupyter notebook, can you still designate a "scratch" gdb?
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09-06-2021
01:42 PM
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Not even all gp tools work with memory workspaces. Like try to do it with arcpy.conversion.WFStoFeatureClass. Instead of writing it to memory\somefc, it writes it to disk as memory.gdb\somefc
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09-03-2021
03:48 PM
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I'm trying to utilize the in memory workspace in Pro using the GP tool arcpy.conversion.WFSToFeatureClass but when I use r"memory" as the out_path, instead of placing the feature class into memory, it creates a file geodatabase on disk <Result C:\\data\memory.gdb> A different tool, arcpy.conversion.FeatureClassToFeatureClass uses the same variable for the same purposes, out_path, respects it and places the result into <Result 'memory\myfcname'> Clearly, the tools don't work the same way concerning outputting to memory, but the documentation provides no indication as such. Can anyone shed any light if there is a work around for this issue? I really want to use the in memory workspace for the WFS conversion to Feature Class. Thank you!
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09-03-2021
03:40 PM
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I support this user story. Dynamic Label Masking is a very basic cartographic tool that can really speed up workflows.
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08-25-2021
02:18 PM
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Are the field names the same or different? If the field names are different then you'll need to set up the Field Mapping in the Editor Settings per these instructions: Copy and paste features using the clipboard—ArcGIS Pro | Documentation If the field names are the same, and you have the box checked to Keep Source Attribute Values, then that's a mystery.
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10-20-2020
10:36 AM
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I never tested this out by using an AGOL HFL as my target. Let us know if you find a solution.
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09-01-2020
09:32 AM
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Yes you can, sort of. You can't directly view the Feature Class (FC), but if you want to see what the data looks like in a map, you can convert it to a Spatially Enabled DataFrame (SeDF), and then plot that on a map in Jupyter Notebooks. Just keep in mind that your FC and the SeDF are disconnected. If you make changes to your FC then you will need to update the SeDF. This is one way to do it that I use: # import modules import pandas as pd from arcgis.features import GeoAccessor, GeoSeriesAccessor from arcgis.gis import GIS # create map gis = GIS() my_map = gis.map(location = 'San Francisco, CA', zoomlevel = 12) # load your feature class into a spatially enabled dataframe (sedf) fc = r'c:\gis\my_geodatabase.gdb\firestations' my_sedf = pd.DataFrame.spatial.from_featureclass(fc) # plot the sedf on your map my_sedf.spatial.plot(map_widget = my_map) # show the map my_map
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06-18-2020
08:57 AM
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I couldn't replicate those index related issues, however, did you try Kyle Kaskie's solution from higher up in this thread? I quote Kyle: UPDATED: My solution turned out I needed to add an index to my archived feature class (Target Dataset) as the GlobalID field and set as unique. The append will run without making adjustments to the field map.
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06-12-2020
10:19 AM
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I don't know if something changed in the interim, but the update service URL option in AGO Assist didn't complete the job. It certainly updated the URL's but the Maps's JSON also has a 'item id' value which that tool doesn't change. The result is that the map ignores the URL change and still pulls in the old reference using the original item id. The solution is to use the Edit JSON option for the map, and also update the item id value which matches your new map source. I noticed this because when I clicked on "view item details" for the updated layer, it took me to the old item instead of the new one. I think the layer in the map pulls the data from the service URL, but if you don't change the "item ID" in the JSON, then people could get super confused about why they are getting taken to an differnt or deleted item.
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04-09-2020
01:36 PM
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I'm just throwing a net out here to see if anyone has seen templates for a robust food distribution map stack? I will probably just start making one from scratch, but I'm always looking for ways to speed things up. Thanks for any tips you might have.
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03-30-2020
01:22 PM
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Technically that's easy to do, however, I have a feeling that would be difficult to do considering the ethical implications of sharing health information. Also, data quality and completeness would be very difficult to validate, so I'm not sure how useful the dataset would be.
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03-30-2020
11:42 AM
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