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Data frames (and the associated functionaly for reading and writing csv files) are one of the main features that make me use R over python. Whenever I need to m
by rcthompson 15y ago
Data frames (and the associated functionaly for reading and writing csv files) are one of the main features that make me use R over python. Whenever I need to manipulate, merge, slice, and dice table-like data, I turn to R. I would love to have something feature-equivalent in Python. Although maybe rpy2 and rnumpy are sufficient for now.
- wesm 15y agoIt is my project but I think pandas.DataFrame is already at 90+% feature-equivalency (especially if you're using the current git version...new release forthcoming). You don't have the integration with a million CRAN libraries. pandas.DataFrame actually does a lot more for you in many places than data.frame does-- for example data alignment is deeply intrinsic whereas it's very much a DIY affair in R.
- rcthompson 15y agoYes, I do intend to try out pandas at some point.