Latest Contributions by DanPatterson_Retired

You better add some print statements to check that your array is properly formed... You have passed on the dtype names, but there is no indication of the type format (ie text, numbers etc) Here is an example. d[:3] array([('alabaster', '0.7.12', 'py_0', 'python'), (... snip ... ), ('argh', '0.26.2', 'py36_0', 'python')], dtype=[('Name', '<U30'), ('Version', '<U15'), ('Build', '<U15'), ('Requires', '<U293')])‍‍‍‍‍‍‍ Note that Uxx is for unicode (aka, text fields), and you can use ('Float_fld', '<f8') for double/float fields and  ('Int_fld', '<i4')  for integer fields (or '<i8' if you need large integers) The help topic uses a dictionary format to form the dtype, which is also permissable, but I prefer explicit and you can use the short forms to cast the text/numeric format  NumPyArrayToTable—Data Access module | Documentation  PS, I have  tons of blog posts on numpy ... View more

Create Network Dataset—ArcGIS Pro | Documentation  Once you create and configure the network dataset, it must be built using the Build Network tool. Was that step completed? It is the last step in the tutorials links I posted to you earlier Create a network dataset—ArcGIS Pro | Documentation  ... View more

ArcGISProject—ArcPy | Documentation  filePath (Read Only) Returns a string value that reports the fully qualified project path and file name. How, and where, are you running your script? That might have some influence on the easiest way to proceed.  The full path would be useful since you can also extract folder information beyond the aprx as well. Python parsing is simple junk = r"C:\Git_Dan\npgeom\Project_npg\npgeom\junk.aprx" junk.split("\\")[-1][:-5] # ---- without extension 'junk' junk.split("\\")[-1] # ---- with extension 'junk.aprx'‍‍‍‍‍‍‍ ... View more