Using a dictionary or list with an Insert Cursor

[JoeBorgione]

In this thread, I am creating a dictionary with which to use with an InsertCursor to add rows to an existing table. I can get the dictionary created okay, but I keep getting an error when I try to use it as the data source:

Traceback (most recent call last):

File "<ipython-input-4-ce36707b33ba>", line 3, in <module>
cursor.insertRow(row)

TypeError: sequence size must match size of the row

In another thread, Randy Burton suggests iterating though a dictionary so I'm attempting to follow his lead.

My dictionary looks like this :

{'16304760420000': (1536639.422987029, 7422834.91819194),
 '16304760430000': (1536594.1241931021, 7422763.591562942),
 '16304760440000': (1536511.8395807743, 7422768.880266264),
 '16304760450000': (1536457.3127869368, 7422770.376654357)}‍‍‍‍‍‍‍‍

I fiddled around a bit with the dictionary itself, but didn't get too far, so after taking another look at the online help for InsertCursors, I turn the dictionary into a list and tried that:

bucket = r'J:\PythonDevelopment\ParcelsXY_Mojo\ParcelsMojo.gdb\LocalSlcoDept_ParcelsXY' 
bucketFields = ['parcel_id','XCOORD','YCOORD']

row_values = list(myDictionary.items())

cursor = arcpy.da.InsertCursor(bucket,bucketFields)
for row in row_values:    
    cursor.insertRow(row)‍‍‍‍‍‍‍‍

 I think my problem with this is the help page describes using the row_values list to insert a @SHAPE, but I just want to insert a row in a table where row[0] us the parcel_id, row[1][0] is the XCOORD and row[1][1] is the YCOORD.

How do I translate myDictionary key:(value1,value2) or  my row_values items into a form that the InsertCursor can handle?

[JoshuaBixby]

This part of the error message is most telling:

TypeError: sequence size must match size of the row

It is saying you are passing a sequence (list, tuple, etc...) with the wrong number of elements to the cursor.

Looking at your code, your cursor has 3 fields but your dictionary contains items with only 2 items per tuple.

[RandyBurton]

You might try:

d = {'16304760420000': (1536639.422987029, 7422834.91819194),
 '16304760430000': (1536594.1241931021, 7422763.591562942),
 '16304760440000': (1536511.8395807743, 7422768.880266264),
 '16304760450000': (1536457.3127869368, 7422770.376654357)}

for k in d.keys(): # something like this for lines 7-8 in your code
	print k, d[0], d[1] # parcel_id, X, Y‍‍‍‍‍‍‍‍‍‍‍‍‍‍

[JoeBorgione]

Thanks Randy-  I'll give it a spin.....

[JoshuaBixby · Accepted solution]

He could just change up row_values:

row_values = [(k,)+v for k,v in d.items()]‍

[JoeBorgione]

Now I have a couple of options.  Thanks Joshua!