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I will definitely echo (2). dplyr is amazing and works in far, far fewer lines of code than pandas. That was my largest issue when migrating over from R.

There is dplython, but it doesn't quite work the same so I don't use it much. https://github.com/dodger487/dplython

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I created plydata, you may find it sufficient for your needs.

https://github.com/has2k1/plydata

Is the only difference the placeholder X? I was running into issues with dplython in executing arbitrary functions outside the tidyverse. Can your package handle situations such as this?

df %>% select(var1, var2) %>% rbind(df2) %>% na.omit()

etc? That was the big benefit I saw from using dplyr.`

Yes, no X placeholder. And at the moment you cannot pipe to arbitrary functions, Python limitations. I'll get around this by providing a helper function e.g

df >> call(pd.dropna, axis=1)

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