Latest Contributions by SimonWebster

The Copy Raster toolbox is the help-referenced, and principle method of creating multi dimensional rasters, particularly when converting to the new Cloud Raster Format.  The Copy Raster tool supports time-slice multidimensional source rasters from sources such as GRIB/GRB, Image Mosaics, and a couple of others. It does not, however, support converting NetCDFs. In fact, converting NEtCDFs is a difficult task when it should not be given that ArcGIS has all the libraries required to do the job.  Please add the ability to use NetCDFs as an input raster source for the Copy Raster tool to make converting to CRF easier. The team will likely need to accomodate a bit of conditional logic which asks the variable from within the NetCDF the user wishes to use. ... View more

I've not seen this issue before: If I'm using Zonal Statistics as Table (Image Analyst, Spatial Analyst) as a geoprocessing tool directly from the toolbox, I can get the tool to run fine. However, when running the tool from a model via Model Builder, I'm receiving the following error: Cancelled function (Zonal Statistics as Table) aborted by User. Now, the important bits: ArcGIS Pro 2.7.0 Datasets: Are the same. I can use the datasets that have been built in model builder to that point to run the tool manually - but not from within model builder.  Projections: Are the same between the two input datasets Filenames: Makes no difference when running manually if they are more or less than 8 characters. Tried a smaller name space in model builder also, no change.  Hardware: Several Tb of free space, and 32gb of available memory (only 10gb in use at peak).  Save location: Local SSD, with a short file path, no special characters.  Variable substitution: Is being used in the file name for the input polygon layer due to the presence of an iterator   To replicate:  GeoTiff as Value Raster Feature layer with single part polygons. Field called 'building_pid' of type text, and length 15. These are unique identifiers. Number of polygons doesn't seem to matter to the issue. Use zonal statistics to find the MEAN and export as table.    Iterator in model to Iterate Features   The image below shows the successful running of the tool by hand, vs in the model.    ... View more

I have a process where I am making use of spatially enabled data frames, and I wish to drop my dataframe back to a geodatabase (or shapefile).  What is occuring, however, is that I receive the below error message. It seems as though I am having some difficulty writing to a geodatabase (and shapefile, but that's a known issue with nulls) when my dataframe contains null values. Because I've got 50+ columns, and potentially 500,000+ rows, I do not wish to be replacing nulls. In fact, many of those nulls exist with good reason. So, Has anyone seen this before? Is there a flag that I've missed in the documentation that will allow any field being written to permit nulls (where it might be set to notnullable by default)? Error: Traceback (most recent call last): File "<string>", line 272, in execute File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\lib\site-packages\arcgis\features\geo\_accessor.py", line 2074, in to_featureclass has_m=has_m) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\lib\site-packages\arcgis\features\geo\_io\fileops.py", line 688, in to_featureclass np.apply_along_axis(_insert_row, 1, df[dfcols].values) File "<__array_function__ internals>", line 6, in apply_along_axis File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\lib\site-packages\numpy\lib\shape_base.py", line 379, in apply_along_axis res = asanyarray(func1d(inarr_view[ind0], *args, **kwargs)) File "C:\Program Files\ArcGIS\Pro\bin\Python\envs\arcgispro-py3\lib\site-packages\arcgis\features\geo\_io\fileops.py", line 685, in _insert_row irows.insertRow(row) RuntimeError: The field is not nullable. [re_id] Failed to execute (Tool). Here's the offending piece of code: #Create file path variable for the Regional Ecosystem 80th Percentile Fuel Lookup Table messages.addMessage("Loading RE Fuel data csv to dataframe") inTableREp = parameters[3].valueAsText dfRELUT = pd.read_csv(inTableREp) messages.addMessage("Successfully Read: " + inTableREp) messages.addMessage(dfRELUT.head()) messages.addMEssage(dfRELUT.dtypes) #Read Pre-Clear Shapefile messages.addMessage("Reading PreClear Veg table to spatially enabled dataframe") dfPreClearVeg = pd.DataFrame.spatial.from_featureclass(tmpPreClearAOI) messages.addMessage("Successfully Read: " + tmpPreClearAOI) messages.addMessage(dfPreClearVeg.head()) messages.addMEssage(dfPreClearVeg.dtypes) #Merge the datframes together messages.addMessage("Joining PreClear df RE1 with RE Fuel Lookup Table") left_merged = dfPreClearVeg.join( dfRELUT.set_index(["RE"]), lsuffix="", rsuffix="_lut", on=["RE1"], ) messages.addMessage(left_merged.head()) messages.addMessage(left_merged.shape) messages.addMEssage(left_merged.dtypes) left_merged.spatial.to_featureclass(location=temp_gdb) #Bombs out here ... View more

I have what should be a fairly straightforward operation failing in ArcGIS Pro 2.4, and cannot for the life of me work out why.  If the field "assettype" contains a portion of the search string, then set the value of assettype_groupup to the value I return.  Eg, if "assetttype" contains the string "Building |Residential |Large ", and I test whether it contains the term "Residential", and that evaluates to true, then return the string "Residential".  Currently the code does not seem to be returning any result / has no effect, and appears to run too quickly (2-3 seconds for 3,000,000 lines). If I try a ternary statement, which means using a single term at a time, it seems to work just fine.  Can you see any obvious issues with the setup below #Expression func(!assettype!) # Code block def func(input😞     if 'Residential' in input:         return 'Residential'     elif 'Industrial/Utilities' in input:         return 'Industrial/Utilities'     elif 'Transport/Infrastructure' in input:         return 'Transport/Infrastructure'     elif 'Conservation/National Park' in input:         return 'Conservation/National Park'     elif 'Recreational/Open Space' in input:         return 'Recreational/Open Space'     elif 'Mixed Use' in input:         return 'Mixed Use'     elif 'Community Use' in input:         return 'Community Use'     elif 'Rural/Primary Production' in input:         return 'Rural/Primary Production'     elif 'Special Use' in input:         return 'Special Use'     elif 'Unknown' in input:         return 'Unknown'     else:         '' Looks like: ... View more