How to select range of columns in a dataframe based on their name and not their indexes?

Question

In a pandas dataframe created like this:

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(10, size=(6, 6)),
                  colu         


        

Answer 1

Adding onto @evan058's answer:

subset(df[rownames(df) %in% c("r3", "r4", "r5"),], select=c1:c4)

c1 c2 c3 c4
r3  3  4  5  6
r4  4  5  6  7
r5  5  6  7  8

But note, the : operator will probably not work here; you will have to write out the name of each row you want to include explicitly. It might be easier to group by a particular value of one of your other columns or to create an index column as @evan058 mentioned in comments.