I have a script that runs fine as a toolbox script in Desktop Pro, however when I try to run the same script in ArcGIS Online as a notebook, I get the following error:
TypeError: float() argument must be a string or a number, not 'dict'
For this line of code:
new_feature_layer = sdf.spatial.to_featurelayer(
title=f"Polys Centroids {tmp_uuid}",
gis=gis,
tags=["centroids", "outputs"],
folder=TMP_FOLDER,
sanitize_columns=False,
service_name=f"polys_centroids_{tmp_uuid}",
)
Here's the full stack trace for the error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/tmp/ipykernel_59/1392681058.py in <cell line: 2396>()
2422 param7
2423 )
-> 2424 main(_args)
/tmp/ipykernel_59/1392681058.py in main(_args)
64 print("PROCESSING FOR POLYS")
65 _args.set_is_polys(True)
---> 66 run_steps(_args)
67
68
/tmp/ipykernel_59/1392681058.py in run_steps(_args)
70 if not _args.is_test_mode:
71 print("Starting download step")
---> 72 download(_args)
73 print("Completed download step")
74 print("Starting join step...")
/tmp/ipykernel_59/1392681058.py in download(_args)
133 layer_item = gis.content.get(layer_id)
134 if _args.is_polys:
--> 135 polys_feature_layer = generate_points(_args)
136 output_file_centroids = polys_feature_layer.export(
137 title="Polys_with_centroids",
/tmp/ipykernel_59/1392681058.py in generate_points(_args)
113 )
114 print(tmp_uuid)
--> 115 new_feature_layer = sdf.spatial.to_featurelayer(
116 title=f"Polys Centroids {tmp_uuid}",
117 gis=gis,
/opt/conda/lib/python3.9/site-packages/arcgis/features/geo/_accessor.py in to_featurelayer(self, title, gis, tags, folder, sanitize_columns, service_name, **kwargs)
2844 )
2845
-> 2846 result = content.import_data(
2847 self._data,
2848 folder=folder,
/opt/conda/lib/python3.9/site-packages/arcgis/gis/__init__.py in import_data(self, df, address_fields, folder, item_id, **kwargs)
7562 )
7563
-> 7564 ds = df.spatial.to_featureclass(
7565 location=os.path.join(temp_dir, name),
7566 sanitize_columns=sanitize_columns,
/opt/conda/lib/python3.9/site-packages/arcgis/features/geo/_accessor.py in to_featureclass(self, location, overwrite, has_z, has_m, sanitize_columns)
2635 origin_columns = self._data.columns.tolist()
2636 origin_index = copy.deepcopy(self._data.index)
-> 2637 result = to_featureclass(
2638 self,
2639 location=location,
/opt/conda/lib/python3.9/site-packages/arcgis/features/geo/_io/fileops.py in to_featureclass(geo, location, overwrite, validate, sanitize_columns, has_m, has_z)
1106 return res
1107 else:
-> 1108 res = _pyshp2(df=df, out_path=out_location, out_name=fc_name)
1109 df.set_index(old_idx)
1110 return res
/opt/conda/lib/python3.9/site-packages/arcgis/features/geo/_io/fileops.py in _pyshp2(df, out_path, out_name)
1334 if value is np.nan:
1335 row[idx] = None
-> 1336 shpfile.record(*row)
1337 del idx
1338 del row
/opt/conda/lib/python3.9/site-packages/shapefile.py in record(self, *recordList, **recordDict)
1835 # Blank fields for empty record
1836 record = ["" for field in self.fields if field[0] != 'DeletionFlag']
-> 1837 self.__dbfRecord(record)
1838
1839 def __dbfRecord(self, record):
/opt/conda/lib/python3.9/site-packages/shapefile.py in __dbfRecord(self, record)
1870 value = format(value, "d")[:size].rjust(size) # caps the size if exceeds the field size
1871 else:
-> 1872 value = float(value)
1873 value = format(value, ".%sf"%deci)[:size].rjust(size) # caps the size if exceeds the field size
1874 elif fieldType == "D":
TypeError: float() argument must be a string or a number, not 'dict'
And this is the surrounding code in the method where the error occurs:
def generate_points(_args):
gis = _args.gis
poly_feature_layer = gis.content.get("7da90f1a777c4d6e9d59e3314e70fbe5")
print(poly_feature_layer["url"])
poly_feature_layer2 = FeatureLayer(poly_feature_layer["url"] + "/0")
# EPSG 4326 is a coordinate system for lat/long that makes used of the WGS84
# spheroid
sr = 4326
df = poly_feature_layer2.query(
as_df=True, return_centroid=True, return_geometry=False, out_sr=sr
)
print("Here 61")
print(df.iloc[0])
# Convert centroid to dict
sdf = GeoAccessor.from_xy(
df.join(pd.DataFrame(df.loc[:, "centroid"].to_dict()).T),
"x",
"y",
sr=sr,
)
print("Here 62")
print(sdf.iloc[0])
sdf = sdf.drop("Correct_Area_SqM", axis=1)
print("Here 63")
print(sdf.iloc[0])
# Create a shortened uuid to avoid name clashes.
# We made want to add cleanup for all temporary layers.
tmp_uuid = "".join(
random.choice(string.ascii_letters + string.digits) for _ in range(6)
)
print(tmp_uuid)
new_feature_layer = sdf.spatial.to_featurelayer(
title=f"Polys Centroids {tmp_uuid}",
gis=gis,
tags=["centroids", "outputs"],
folder=TMP_FOLDER,
sanitize_columns=False,
service_name=f"polys_centroids_{tmp_uuid}",
)
return new_feature_layer
