I have a DataFrame that looks like the one below
Index Category Class
0 1 A
1 1 A
2 1 B
3 2 A
4 3 B
5 3 B
And I would like to get an output data frame that groups by category and have one column for each of the classes with the counting of the occurrences of that class in each category, such as the one below
Index Category A B
0 1 2 1
1 2 1 0
2 3 0 2
So far I've tried various combinations of the groupby and agg methods, but I still can't get what I want. I've also tried df.pivot_table(index='Category', columns='Class', aggfunc='count'), but that return a DataFrame without columns. Any ideas of what could work in this case?
You can use aggfunc="size" to achieve your desired result:
>>> df.pivot_table(index='Category', columns='Class', aggfunc='size', fill_value=0)
Class A B
Category
1 2 1
2 1 0
3 0 2
Alternatively, you can use .groupby(...).size() to get the counts, and then unstack to reshape your data as well:
>>> df.groupby(["Category", "Class"]).size().unstack(fill_value=0)
Class A B
Category
1 2 1
2 1 0
3 0 2
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