Latest Contributions by MarkusBenninghoff

I'm using the SummarizeWithin tool with arcpy, running in a Jupyter Notebook. sum_fields = "TOTAL Sum;M_TOTAL Sum;F_TOTAL Sum" arcpy.analysis.SummarizeWithin("counties", "demographics", "counties_demo", '', sum_fields)‍‍‍‍‍ On execution I receive a lot of these two errors in the console. TypeError: setGroupParams() missing 2 required positional arguments: 'groupFieldName' and 'fcPath' AttributeError: 'ToolValidator' object has no attribute 'isLicensed'‍‍‍‍ The tool runs through and gives a correct output FeatureClass. I still would like to get rid of these errors. When executed as a regular Geoprocessing Tool in ArcGIS 2.5 no errors are reported, same when the code snippet is run in the Python Console. Is this a bug, or am I doing something wrong? ... View more

I need to create a two-layered PopUp for ArcGIS Online and Webappbuilder. When initially selecting the feature in the map only basic information should be shown: When clicking hide/show more information the content should extend: I was intending to use HTML in combination with a simple JavaScript command, but it seems that this is not possible. What is the ideal workaround for this? PS: alternatively - instead of clicking hide/show more information - would it be possible to extend the content when maximizing the popup window? ... View more

We are currently setting up a Stream Service and need to use the Latest/Related (L/R) Features for our Webmap.   The Stream Service works fine without L/R Features. The WebSocket (WS) connection is created, filter messages of type {“filter”:{“where”:”mmsi = ‘123456’”}} are sent and confirmed (“error”: null) through the WS protocol. Data then proceeds to come through the same connection. Filter can be removed and edited, without issues. With the L/R enabled, the filtering does not work as expected: By filtering for “mmsi” (Track_id), the filter is sent via WS, then a new WS connection is opened with “where=mmsi%20%3D%20%123456%27” added to the WS-URL. By removing/editing the filter again a new WS connection is opened. Data is at least coming through. By filtering for “class” (not a field of Related Features) the filter is sent via WS, no new connection is opened. No data is coming through. I understand that the WS connection cannot be used for filtering for related features, but we did not even do that yet. Is this a known issue? What would be the work around?   Kind regards, Markus ... View more

Hello community, I already have a workaround for my problem, but I'm curious if there is a more elegant way to handle it. I receive messages on a UDP port as comma comma-separated values (25 fields). These are never complete. Most of the time I receive geometric information only (ID, coordinates, speed). Occasionally I receive additional information for my IDs (ID, name, measurements, destination). ## Geometrics #ID, Ycoord, Xcoord, speed, ..., time 000123,9.1543,55.7552,235.89,,,,,,,,,,,,,,,,,,,,05/31/2019, 08:38:10 000123,9.1544,55.7553,250.30,,,,,,,,,,,,,,,,,,,,05/31/2019, 08:38:15 ## Additional Information #ID, ... , name, ... measurements ..., destination, time 000123,,,,,,,,,,Vehicle1,74,,,,8,1,6,5,3,0,6.40,Destination2,05/31/2019, 08:38:00 000123,,,,,,,,,,,74,108,12,10,8,1,,,,,,,05/31/2019, 08:38:30 ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍   The geometrics are filtered from the rest in GeoEvent Server. The idea is to later enrich it with the additional information. Normally, I would Update a feature layer with the additional information and use the hosted feature layer to enrich the geometric data. However, as you can see the data contains empty/nan values, which leads to crucial information (Name, Destination) occasionally being unavailable when updating+enriching. How can I update a feature layer while ignoring single empty/nan attributes? I'm sincerely thankful to any suggestions. kind regards, Markus PS: For now, I'm writing everything to csv, and using a python script to group the data, export it to csv/json,and load it to GeoEvent Server. Which seems to me like a unnecessary loop. df2 = df2.groupby('ID', as_index=False).last()‍ The function ignores NaN-values by default. ... View more

Hello, I know that it is possible to define the unique symbols for different attributes of a feature layer by using the url of a custom single image (Change Style reference - Change symbols). However, I have many features (~500) for which I would like to define a custom (png) symbol. The symbols are dynamically created elsewhere and stored in the format: 'id001.png', 'id002.png'...'id500.png'... The id### can be found in the attribute table of the feature layer. Is it possible to create such a layer? I am extremely thankful for any hints. kr, Markus ps: My approach would be to use ArcGIS Online Assistant, but I'm not sure about performance issues and the dynamic updating when new features are added. I would use different zoom-levels, so that only a selection of features will be shown at once. ... View more