How to fix the order of columns in dict

Question

I have a series which I grouped and now I want to save that series as csv file with both index and values as two columns(Index followed by values).

So I first tried to covert the series as dataframe and then save the data frame as csv.

s_group_count=df_page_concat.groupby(df_page_concat).count()
df_grouped_values=pd.DataFrame({"page_path":s_group_count.index,"count":s_group_count.values})

Problem is since it is using dict to create a dataframe and that dicts are not ordered, it is adding the count which is the value of series as the first column in dataframe while I want the Index as first column and values (count) as second column.

Any advise how to fix the order and if this is the most optimal way to create a csv out of series with index stored as another column?

Answer 1

from collections import OrderedDict

This has been particularly helpful for me in groupby.agg operations, to enforce column order

So pass in

OrderedDict([("page_path",s_group_count.index),("count",s_group_count.values)])