transpose

R:

mtcars %>% t() %>% as.tibble

Base R function t()’s result must be converted back into a tibble

pandas:

mtcars.transpose()

plydata:

mtcars >> dp.call('transpose')

dpylython::

dp.DplyFrame(mtcars) >> X._.transpose()

It is undocumented when and when not you can use mtcars >> and when you have to use DplyFrame

dfply:

@dp.dfpipe
def call(df, method, *args, **kwargs):
  return getattr(df, method)(*args, **kwargs)
mtcars >> call('transpose')

dfply has no fall back to pandas methods - this introduces such a fallback instead of wrapping transpose.

dfpyl version 2:

mtcars >> dp.dfpipe(pd.DataFrame.transpose)

We could also wrap the classes method in a pipe instead

dppd:

dp(mtcars).transpose().pd