Want to output a Pandas groupby dataframe to CSV. Tried various StackOverflow solutions but they have not worked.
Python 3.6.1, Pandas 0.20.1
groupby result
Group By returns key, value pairs where key is the identifier of the group and the value is the group itself, i.e. a subset of an original df that matched the key.
In your example week_grouped = df.groupby('week') is set of groups (pandas.core.groupby.DataFrameGroupBy object) which you can explore in detail as follows:
for k, gr in week_grouped:
# do your stuff instead of print
print(k)
print(type(gr)) # This will output
print(gr)
# You can save each 'gr' in a csv as follows
gr.to_csv('{}.csv'.format(k))
Or alternatively you can compute aggregation function on your grouped object
result = week_grouped.sum()
# This will be already one row per key and its aggregation result
result.to_csv('result.csv')
In your example you need to assign the function result to some variable as by default pandas objects are immutable.
some_variable = week_grouped.sum()
some_variable.to_csv('week_grouped.csv') # This will work
basically result.csv and week_grouped.csv are meant to be same