rPandas
Translating from R to Python's Pandas Package
Provides an R interface to Python's 'pandas' library using non-standard evaluation. Users can write R code (e.g., rp_filter(), rp_select(), rp_mutate()) that is translated into pandas commands and executed via 'reticulate'. Supports chaining, grouping, and 'summarisation', and includes a 'table_name' parameter to generate 'copy-pasteable' Python code. Ideal for leveraging pandas' speed and flexibility within the R ecosystem.
rPandas: The Power of Pandas, The Simplicity of R
rPandas bridges the gap between R and Python. It allows R users to manipulate data using familiar, dplyr-style syntax while leveraging the speed and efficiency of the Python pandas library in the background.
Why use rPandas?
- Best of Both Worlds: Write code in R, but execute it in Python.
- Zero Python Knowledge Required: You don't need to know Python syntax to use it. rPandas handles the translation for you.
- Learning Tool: Curious how your R code translates to Python? Every function has a
return.as = "code"argument that shows you the exact Pandas code being generated. - Seamless Integration: Works with R data frames and integrates easily into your existing workflows using the pipe (
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