How to one-hot-encode from a pandas column containing a list?I would like to break down a pandas column consisting of a list of elements into as many columns as there are unique elements i.e. one-hot-encode them (with value 1 representing a given element existing in a row and 0 in the case of absence). For example, taking dataframe df Col1 Col2 Col3 C 33 [Apple, Orange, Banana] A 2.5 [Apple, Grape] B 42 [Banana] I would like to convert this to: df Col1 Col2
