[1]:

import pandas as pd
pd.set_option("display.max_rows", 5)

Transmute

This function is equivalent doing a mutate, followed by a select to keep the recently defined columns. Currently the way it works is…

  • Positional arguments are used to select columns

  • Named arguments are used as in mutate

[2]:

from siuba import _, transmute
from siuba.data import mtcars

[3]:

mtcars >> transmute(_.cyl, _.mpg, hp_per_cyl = _.hp / _.cyl)

[3]:
cyl mpg hp_per_cyl
0 6 21.0 18.333333
1 6 21.0 18.333333
... ... ... ...
30 8 15.0 41.875000
31 4 21.4 27.250000

32 rows × 3 columns

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