If so, you may use the following syntax to rename your column: df = df. NA, NA, NA, NA)), class = c("tbl_df", "tbl", "ame"), row.Need to rename columns in Pandas DataFrame? "Activity B event_5", NA, "Activity B event_5", "Activity C event_5"
NA, "Activity B event_4", "Activity A event_4"), `` = c("Activity A event_5", ), `` = c("Activity A event_4", "Activity B event_4", "Activity A event_3", NA, "Activity C event_3", "Activity D event_3" "Activity D event_2"), `` = c("Activity D event_3", "Activity A event_2", "Activity A event_2", "Activity C event_2", "Activity D event_1"), `` = c("Activity B event_2", "Activity A event_1", "Activity B event_1", "Activity C event_1", Ieka-1728 Activity D event_1 Activity D event_2 Activity D event_3 Activity A event_4 Activity C event_5ĭput() result FYI structure(list(UserID = c("hdyyu-192", "yeui-1893", "dnnd-1882", Nopr-738 Activity C event_1 Activity C event_2 Activity C event_3 Activity B event_4 Activity B event_5 Yeui-1893 Activity A event_1 Activity A event_2 Activity A event_3 Activity B event_4 Activity B event_5ĭnnd-1882 Activity B event_1 Activity A event_2 Hdyyu-192 Activity B event_1 Activity B event_2 Activity D event_3 Activity A event_4 Activity A event_5 Activity C event_6 Activity B event_7
#Rename column r how to#
Or anyone could recommend how to include output with lots of columns? UserID You will see NA in the results as in your desired output (I’m using clipr::write_clip() to copy the output here, which removes the NA). x, paste0(.x, " event_", as.numeric(grep( Note we have to subtract the “column index” by 1, since column 1 is not used to generate the column index. If it’s not NA, paste() the value in the column with “event_indexOfColumn”, which is returned by using grep() and cur_column(). If the value in the column is NA, do nothing. Use mutate() in everything column except the UserID. The part that match the event number to the index of column is borrowed from this question: Get column index from label in a data frame. Is there a solution that would allow me to achieve this with my original dataframe? Many thanks ? Answer: #5 ieka-1728 Activity D event_1 Activity D event_2 Activity D event_3 Activity A event_4 Activity C event_5 NA NAĪs you can see within the desired outcome, the term “event_” followed by the column number (skipping the first column) is pasted after the value in each corresponding cell. #4 nopr-738 Activity C event_1 Activity C event_2 Activity C event_3 Activity B event_4 Activity B event_5 NA NA #3 dnnd-1882 Activity B event_1 Activity A event_2 NA NA NA NA NA
#2 yeui-1893 Activity A event_1 Activity A event_2 Activity A event_3 Activity B event_4 Activity B event_5 NA NA The select() function has a number of helper functions. Renaming columns with R base functions To rename the column Sepal.Length to sepallength, the procedure is as follow: Get column names using the function names () or colnames () Change column names where name Sepal.Length get column names colnames (mydata) 1 'Sepal.Length' 'Sepal.Width' 'Petal.Length' 'Petal. #1 hdyyu-192 Activity B event_1 Activity B event_2 Activity D event_3 Activity A event_4 Activity A event_5 Activity C event_6 Activity B event_7 The two common column operations are renaming columns, rename(), and selecting columns, select(). #5 ieka-1728 Activity D Activity D Activity D Activity A Activity C NA NAĪnd here is the result that I would like to achieve:- # A tibble: 5 x 8 #4 nopr-738 Activity C Activity C Activity C Activity B Activity B NA NA #3 dnnd-1882 Activity B Activity A NA NA NA NA NA
#2 yeui-1893 Activity A Activity A Activity A Activity B Activity B NA NA #1 hdyyu-192 Activity B Activity B Activity D Activity A Activity A Activity C Activity B Here is the dataframe that I am currently working with:- df I am trying to rename values within a dataframe in R based on their location within the dataframe itself.