tidypolars-extra

Tidyverse-style data manipulation for Python, powered by Polars.

tidypolars-extra provides functions that closely match R’s Tidyverse for manipulating data frames in Python, using the fast Polars engine as backend.

Key Features

  • Fast — Built on Polars for high-performance data manipulation with parallel execution.

  • Familiar syntax — API mirrors R’s Tidyverse (filter, mutate, select, summarize, etc.).

  • Type conversions — R-style type coercion functions (as_integer, as_factor, as_character, etc.).

  • String operations — stringr-style string manipulation (str_detect, str_replace, paste, etc.).

  • Date/time handling — lubridate-style date functions (year, month, mday, as_date, etc.).

  • Statistics — Common statistical functions (mean, sd, cor, quantile, scale, etc.).

  • I/O support — Read CSV, Excel, Stata, SPSS, R (RDS/Rdata), and Google Sheets.

  • LaTeX output — Export publication-ready LaTeX tables directly from your data.

Quick Example

import tidypolars_extra as tp

df = tp.tibble(
    name=["Alice", "Bob", "Charlie", "Diana"],
    age=[30, 25, 35, 28],
    score=[85, 92, 78, 95],
)

result = (
    df
    .filter(tp.col("age") > 26)
    .mutate(grade=tp.case_when(
        tp.col("score") >= 90, "A",
        tp.col("score") >= 80, "B",
        _default="C",
    ))
    .arrange(tp.desc("score"))
    .select("name", "age", "grade")
)

Contents

Guide

API Reference