Latest Contributions by NathanielEvatt

‎10-19-2022

This is all great to hear. Thank you!

‎10-18-2022

Hi @Raul_Jimenez , That was exactly what I needed. The timing of this question was pretty good with your presentation coming up 🙂 It would be awesome if ESRI could share the Postman workspace elsewhere. For my particular workflow, this community post will help people, but there is a lot of other good stuff in the collection. I wouldn't have stumbled upon this solution from the documentation alone, so I am sure that others would benefit as well. Thanks a bunch! Nat

‎10-17-2022

I am hoping to follow best practices of our public facing API Key that we use for Vector Tile Basemaps. I would like to limit the exposure of the key as much as possible and presumably a simple way of doing that is through key rotation as outlined in the document above. I would ideally like to automate this process by working it into our Jenkins build process by simply creating a new key every time we push to production. As far as I can tell, the only way to create a new API Key is to do it manually through the Developer Dashboard. Is that correct? Is there any other way that I can automate this process? Thanks,

‎10-31-2019

Hi Gavin, Yes, you are correct. I was aware of the DynamicMapLayer, but I didn't see the ability to control the image server output. The solution was to edit the `dynamicLayers` options, specifically `drawingInfo` ``` dynamicMapLayer.setDynamicLayers([{ ... "drawingInfo": { ... } }]); ``` And for anyone else trying to get more information on what `drawingInfo` syntax looks like you can refer the Web Map Specification drawingInfo | ArcGIS for Developers Maybe I will create a Pull Request to add an example to the ESRI Leaflet Repo. Do you accept Pull Requests?

‎08-20-2019

I was wondering if there is any plans to incorporate MapImageLayers into Esri Leaflet. In theory, it would seem possible since according to the docs 'MapImageLayer processing is handled by the server, not the client.' I know that the 'Dynamic Map Layer' does many similar things, but the 'MapImageLayer' in Esri Js API 4.x seems to be significantly more powerful. Specifically, I love the 'renderer' and 'definitionExpression' in the 'MapImageLayer' 4.x functionality, which I can't find equivalents for in the 'Dynamic Map Layer'. Any chance this could end up in Esri Leaflet?

‎12-06-2018

In case anyone else tries to do the same, it turned out to be easier to simply update / add / delete using the edit_features functionality as described in the following ESRI guides: updating_features_in_a_feature_layer | ArcGIS for Developers and Editing Features | ArcGIS for Developers Kind of a bummer because I need to manage all the data updates individually instead of simply rewriting, but this solution is definitely the most efficient.

‎11-27-2018

I am trying to update / overwrite a Feature Layer using the ArcGIS API for Python. I am currently loading and manipulating the data in a SpatialDataFrame and I have published the data using `sdf.spatial.to_featurelayer()`. This function creates a shapefile and the resulting Feature Layer. However, the data is going to be updating and changing on maybe a weekly basis. I could delete the layer and simply recreate it, but there is a good chance that the layer will be part of a StoryMap or some other AGOL web map, so that is not an option. There is a good tutorial on how to overwrite a Feature Layer using pandas and a CSV here: overwriting_feature_layers | ArcGIS for Developers , but this depends on having the data in CSV format and utilizes the pandas `read_csv()` method, which does not have read_shapefile() equivalent. The `manager.overwrite()` method does not accept SDF format (though that would be super cool), so I think the best way to do it is probably updating the underlying shapefile and then overwriting from there. Any ideas on how to do that or any other ideas?

‎11-02-2018

After trying the geojson solution, I am falling back to using shapely and the from_shapely custom method which I took from Joel McCune. The geojson route ended up also being slow and having lots of geometry errors anyway, so I would need to do some geometry updates either way, so sticking with the "hack". I have posted an idea in ESRI Ideas to encourage a loads method similar to the one I am using from shapely. Thanks to Per for above recommendations.

‎11-02-2018

Currently in the ArcGIS Python API (from what I can tell) there is no geometry function which loads text from WKT format into ESRI geometry format. The closest thing that I can find is loads_xy method which handles point x, y data. But there is nothing for lines, polygons or multipolygons. As a work around I am currently using the shapely function loads and then converting back to ESRI format as I have documented in this geonet thread

‎11-01-2018

Yeah, I this is the best solution. It is unfortunate that there does not seem to be a solution where geometries can be created in ESRI format using the spatial data frame only, but this is a fast solution, once you have the geojson. Thanks, Nat

‎10-30-2018

Hi Per, Yes, that would work if I were using points, which I know is what I used in the example. However, the meat and potatoes of the data that i am dealing with is polygon. I basically need something like the from_xy function for polygons, multipolygons and lines as well.

‎10-29-2018

Update: I have been able to find a work around by following the post by Joel McCune here , by first converting the PostGIS text as shapely, then converting the shapely geometry as ArcGIS geometry format, which is pretty hacky. I am sure there is a function that convert PostGIS text / json outputs into ArcGIS geometry. Any ideas? Also weird, after running the conversion the correct geometry format, I can run set_geometry on the geom column, publish a feature_layer to AGOL, but I cannot plot on a map within Jupyter Notebook. I get the Exception: Spatial column not defined, please use `set_geometry` Even though I have run the method 2 lines above. ¯\_(ツ)_/¯ Full code here: from shapely.wkt import loads from arcgis.geometry import Geometry from arcgis.geometry import BaseGeometry @classmethod def from_shapely(cls, shapely_geometry): return cls(shapely_geometry.__geo_interface__) BaseGeometry.from_shapely = from_shapely conn = config.conn df = pd.read_sql("select id, ST_AsText(geom) AS geometry from ch01.sweet_table where group_id = 1", con=conn) df['geometry'] = df['geometry'].apply(lambda x: loads(x)) df['geometry'] = df['geometry'].apply(lambda x: Geometry.from_shapely(x)) Geometry(df.iloc[0].geometry).is_valid sdf = df.set_geometry('geometry') Geometry(sdf.iloc[0].geometry).is_valid #test geometry is valid sdf.spatial.plot(map_widget=m) #plotting error new_lyr_item = sdf.spatial.to_featurelayer('Tester Pester') published_item = new_lyr_item.publish()

‎10-26-2018

I am trying to 1. connect to a PostGIS database 2. Create a Spatially Enabled Data Frame 3. Export out to a feature layer 4. Push to AGOL. Of those steps, I have succeeded at number one, but I am getting a error in the process of setting a geometry column in the DataFrame. I have the function `set_geomerty()` does not like the format of the data that i am putting in, which has been text and shapely format. Is there an ESRI specific format that i should be using or a function that can put the geometry into that format? IDE: Jupyter Notebook python: 3.6 ArcGIS Python Api: 1.5.0 import pandas as pd from shapely.wkt import loads conn = config.conn df = pd.read_sql("select id, ST_AsText(geom) AS geometry from table where group_id = 63 limit 1", con=conn) df['geometry'] = df['geometry'].apply(lambda x: loads(x)) sdf = df.set_geometry('geometry') bmp_id geometry 0 Lot_5_78 POINT (-121.799248349 36.6987788232) ~/.virtualenv/esri/lib/python3.6/site-packages/arcgis/features/_data/geodataset/geodataframe.py in set_geometry(self, col, drop, inplace, sr) 1799 # Check that we are using a listlike of geometries 1800 if not all(isinstance(item, GEOM_TYPES) or not item for item in level): -> 1801 raise TypeError("Input geometry column must contain valid geometry objects.") 1802 #if isinstance(frame[geo_column_name], pd.Series): 1803 # frame[geo_column_name] = GeoSeries(frame[geo_column_name]) TypeError: Input geometry column must contain valid geometry objects. Gracias

‎03-22-2018

Cool, thanks very much guys

‎03-19-2018

I am hoping to run a script that can hide certain fields from an ArcGIS Online web map. In ArcGIS Online, I would accomplish this by opening a webmap, clicking the three dots of the layer I was interested in, selecting "configure pop-up" then selecting "Configure Attribute". Finally from there I can edit the display options in the GUI shown below. Is this something that is currently configurable from the ArcGIS API for Python?

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My Ideas

Latest Contributions by NathanielEvatt

Re: Automating API Key creation for token rotation

Re: Automating API Key creation for token rotation

Automating API Key creation for token rotation

Re: MapImageLayer in Esri Leaflet

MapImageLayer in Esri Leaflet

Re: Overwriting a Feature Layer from SpatialDataFrame Data Source

Overwriting a Feature Layer from SpatialDataFrame Data Source

Re: ArcGIS Python API Set Geometry Column of Spatially Enabled Data Frame

ArcGIS Python API SpatialDataFrame loads() for WKT geometry

Re: ArcGIS Python API Set Geometry Column of Spatially Enabled Data Frame

Re: ArcGIS Python API Set Geometry Column of Spatially Enabled Data Frame

Re: ArcGIS Python API Set Geometry Column of Spatially Enabled Data Frame

ArcGIS Python API Set Geometry Column of Spatially Enabled Data Frame

Re: Configure Popup Attributes Programmatically with ArcGIS API for Python

Configure Popup Attributes Programmatically with ArcGIS API for Python

Re: Overwriting a Feature Layer from SpatialDataFr...

ArcGIS Python API SpatialDataFrame loads() for WKT...

Configure Popup Attributes Programmatically with A...

Re: How to access Survey123 photos via ArcGIS API ...