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I want to add a new column with "NA"s in my dataframe:
A B
1 14379 32094
2 151884 174367
3 438422 449382
But I need it to be located between col. A and B, like this:
A C B
1 14379 NA 32094
2 151884 NA 174367
3 438422 NA 449382
I know how to add col. C after col. B, but that is not helpful to me... Anyone know how to do it?
653
Using apply() method If you need to apply a method over an existing column in order to compute some values that will eventually be added as a new column in the existing DataFrame, then pandas. DataFrame. apply() method should do the trick.
After extraction, the column needs to be simply added to the second dataframe using join() function. This function needs to be called with reference to the dataframe in which the column has to be added and the variable name which stores the extracted column name has to be passed to it as the argument.
To find duplicate columns we need to iterate through all columns of a DataFrame and for each and every column it will search if any other column exists in DataFrame with the same contents already. If yes then that column name will be stored in the duplicate column set.
By use + operator simply you can concatenate two or multiple text/string columns in pandas DataFrame.
In 2 steps, you can reorder the columns:
dat$C <- NA
dat <- dat[, c("A", "C", "B")]
A C B
1 0.596068 NA -0.7783724
2 -1.464656 NA -0.8425972
You can also use append
dat <- data.frame(A = rnorm(2), B = rnorm(2))
as.data.frame(append(dat, list(C = NA), after = 1))
A C B
1 -0.7046408 NA 0.2117638
2 0.8402680 NA -2.0109721
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