So i essentially want to implement the equivalent of R's match() function in Python, using Pandas dataframes - without using a for-loop. In R match() returns a vector of the positions of (first) matches of its first argument in its second. Let's say that I have two df A and B, of which both include the column C. Where A$C = c('a','b') B$C = c('c','c','b','b','c','b','a','a') In R we would get match(A$C,B$C) = c(7,3) What is an equivalent method in Python for columns in pandas data frames, that doesn't require looping through the values. Continue reading...
