I have a rather big dataframe that looks a bit like this: | obj1 | obj2 | obj3 | |------------------------ 0 | attr1 | attr2 | attr1 | 1 | attr2 | attr3 | NaN | 2 | attr3 | attrN | NaN | I'm new(ish) to pandas but I can't figure out a way to make it look like this: | obj1 | obj2 | obj3 | ------------------------ attr1 | True | False | True | attr2 | True | False | False | attr3 | True | False | False | what's the most pythonic/fast way to go around this? EDIT I don't have any column in the dataframe with all the attributes. I could have an Obj4 that has an attribute which is not seen anywhere else Continue reading...
