Great, I have a question about arcpy in arcgis pro! I have a point data which has 7740 fields precipitation value in each column for 60 million pixels. I need to get rid of the columns (Daily Data) which is the date of my attribute table those are has values less than 100 mm of precipitation, find it and delete those columns (7740) . I want to do this to lighten my data for web service. I want to do it in arcpy and I'm somehow confused how to do it. Could you please help me with this.?
Great, I have a question about arcpy in arcgis pro!
I have a point data which has 7740 fields precipitation value in each column for 60 million pixels.
I need to get rid of the columns (Daily Data) which is the date of my attribute table those are has values less than 100 mm of precipitation, find it and delete those columns (7740) . I want to do this to lighten my data for web service.
I want to do it in arcpy and I'm somehow confused how to do it.
Could you please help me with this.?