How to iterate over consecutive chunks of Pandas dataframe efficiently

Question

I have a large dataframe (several million rows).

I want to be able to do a groupby operation on it, but just grouping by arbitrary consecutive (preferably equal-size

Answer 1

A sign of a good environment is many choices, so I'll add this from Anaconda Blaze, really using Odo

import blaze as bz
import pandas as pd

df = pd.DataFrame({'col1':[1,2,3,4,5], 'col2':[2,4,6,8,10]})

for chunk in bz.odo(df, target=bz.chunks(pd.DataFrame), chunksize=2):
    # Do stuff with chunked dataframe