Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
I have a data frame
df and I use several columns from it to
In the above way I almost get the table (data frame) that I need. What is missing is an additional column that contains number of rows in each group. In other words, I have mean but I also would like to know how many number were used to get these means. For example in the first group there are 8 values and in the second one 10 and so on.
In short: How do I get group-wise statistics for a dataframe?
groupby object, the
agg function can take a list to apply several aggregation methods at once. This should give you the result you need:
df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])