>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}) >>> df.rename(columns={"A": "a", "B": "c"}) a c 0 1 4 1 2 5 2 3 6
#df.rename() will only return a new df with the new headers #df = df.rename() will change the heders of the current dataframe df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
colnames(dataset) <- c('name1','name2',..)
print(df.rename(columns={'A': 'a', 'C': 'c'})) # a B c # ONE 11 12 13 # TWO 21 22 23 # THREE 31 32 33
R> X <- data.frame(bad=1:3, worse=rnorm(3)) R> X bad worse 1 1 -2.440467 2 2 1.320113 3 3 -0.306639 R> colnames(X) <- c("good", "better") R> X good better 1 1 -2.440467 2 2 1.320113 3 3 -0.306639
colnames(df)[colnames(df) == "name"] <- "new_name"
#Pandas for Python df.coloumns = ['A','B']
names(df)[1] <- paste("newName")