import pandas as pd
pd.set_option("display.max_rows", 2)

Rename

This function gives one or more columns new names. It returns a DataFrame with the renamed and original columns.

from siuba import _, rename, select
from siuba.data import mtcars

small_cars = mtcars[["mpg", "cyl", "hp"]]

For example, the code below renames mpg to be uppercase, while keeping the other columns of data.

small_cars >> rename(MPG = "mpg")

	MPG	cyl	hp
0	21.0	6	110
...	...	...	...
31	21.4	4	109

32 rows × 3 columns

It is equivalent to renaming in a select, while also selecting all other columns.

small_cars >> select(_.MPG == _.mpg, _.cyl, _.hp)

	MPG	cyl	hp
0	21.0	6	110
...	...	...	...
31	21.4	4	109

32 rows × 3 columns

Edit page on github here. Interactive version: