Latest Contributions by NathanielEvatt

‎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

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My Ideas

Latest Contributions by NathanielEvatt

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