I am trying to modify an existing table that I can relate to a feature in Arcmap(v10.5).

Currently, the table fields and values look like this: Sample data table

I would like to summarize the table. For each unique "property number" value, I would like to have the table list unique "fagtype" values. And for each "fagtype value", I would like the table to sum the "fagacres" for each value. I would like the "facres" and "fagirrig" fields to just list unique values as well.

I found a starting place under the "search cursor" summary on the ESRI help page. But it's a very limited start and I'm not sure where to go from here, or even if a searchcursor is the best route.

import arcpy

agtable = arcpy.GetParameterAsText(0)

fields = ['PID', 'fagtype', 'fagacres', 'facres', 'fagirrig']

with arcpy.da.SearchCursor(agtable, fields) as cursor:

    for row in cursor:
  • 2
    I'd take a look at Summary Stats. If you want to use search cursors, take a look at collections.defaultdict
    – Paul
    Jan 19, 2018 at 17:34
  • Looks like the default dictionaries are the way to go. Jan 19, 2018 at 17:45
  • Did you try using SQL? It looks to me like a group by and a sum would do wonders.
    – Piskr
    Jan 19, 2018 at 17:52
  • I'm very limited in SQL knowledge. However, I do know what your talking about. And that probably is the best way. Jan 19, 2018 at 18:14

1 Answer 1


Sounds like a simple job for Summary Statistics. But if you want to use python, pandas is a great module for tasks like this and is included in ArcGIS 10.5:

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

You can create a pandas dataframe from a feature class table using the da.SearchCursor and then groupby and sum:

import arcpy
import pandas as pd

feature_class = r'C:\database.gdb\feature_class' #Change
fc_fields = ['Property_number','fagtype','fagacres','facres'] #Change

#Function to read a feature class and return a pandas dataframe
def fc_to_dataframe(fc, fields):
    cursor = (i for i in arcpy.da.SearchCursor(fc, fields))
    df = pd.DataFrame(data=cursor, columns=fields)
    return df

#Call function
df = fc_to_dataframe(feature_class, fc_fields)

#Group and sum
print df.groupby(['Property_number','fagtype']).sum()
  • 1
    +1 Pandas is amazing. You can read directly from the cursor if you use pd.DataFrame.from_records(arcpy.da.SearchCursor(fc, fields), columns=fields) No need to wrap in another generator.
    – Paul
    Jan 20, 2018 at 20:28
  • Nice did not know that
    – BERA
    Jan 21, 2018 at 17:17

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