So in pandas it's kinda similar: > df[newvar] = df[oldvar1] / df[oldvar2] And instead of the pipe, we have chaining for which is super straightforward and rea

So in pandas it's kinda similar: > df[newvar] = df[oldvar1] / df[oldvar2] And instead of the pipe, we have chaining for which is super straightforward and readable: > df[newvar] = (df[oldvar1] / df[oldvar2]).abs().rank().astype(str).str[:4] and for more complex or non-chainable functions we have .pipe: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pipe.html https://pandas.pydata.org/pandas-docs/stable/generated/panda... which looks super similar to dplyr to me!