Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/tidypyverse/tidypandas

A grammar of data manipulation for pandas inspired by tidyverse
https://github.com/tidypyverse/tidypandas

data-analysis data-science dataframe dataframe-library dplyr pandas python tidyverse

Last synced: about 1 month ago
JSON representation

A grammar of data manipulation for pandas inspired by tidyverse

Host: GitHub
URL: https://github.com/tidypyverse/tidypandas
Owner: tidypyverse
License: mit
Created: 2020-01-22T06:23:22.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2024-02-28T18:50:04.000Z (10 months ago)
Last Synced: 2024-10-31T12:21:12.641Z (about 1 month ago)
Topics: data-analysis, data-science, dataframe, dataframe-library, dplyr, pandas, python, tidyverse
Language: Python
Homepage: https://tidypyverse.github.io/tidypandas/
Size: 5.75 MB
Stars: 92
Watchers: 5
Forks: 7
Open Issues: 9
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

awesome-dataframes - tidypandas - A grammar of data manipulation for pandas inspired by tidyverse. (Libraries)

README

        ![](docs/logo.png)

[![PyPI

version](https://badge.fury.io/py/tidypandas.svg)](https://badge.fury.io/py/tidypandas)

# `tidypandas`

> A **grammar of data manipulation** for

> [pandas](https://pandas.pydata.org/docs/index.html) inspired by

> [tidyverse](https://tidyverse.tidyverse.org/)

`tidypandas` python package provides *minimal, pythonic* API for common

data manipulation tasks:

-   `tidyframe` class (wrapper over pandas dataframe) provides a

    dataframe with simplified index structure (no more resetting indexes

    and multi indexes)

-   Consistent ‘verbs’ (`select`, `arrange`, `distinct`, …) as methods

    to `tidyframe` class which mostly return a `tidyframe`

-   Unified interface for summarizing (aggregation) and mutate (assign)

    operations across groups

-   Utilites for pandas dataframes and series

-   Uses simple python data structures, No esoteric classes, No pipes,

    No Non-standard evaluation

-   No copy data conversion between `tidyframe` and pandas dataframes

-   An accessor to apply `tidyframe` verbs to simple pandas datarames

-   …

## Example

-   `tidypandas` code:

    df.filter(lambda x: x['col_1'] > x['col_1'].mean(), by = 'col_2')

-   equivalent pandas code:

    (df.groupby('col2')

       .apply(lambda x: x.loc[x['col_1'] > x['col_1'].mean(), :])

       .reset_index(drop = True)

       )

## Why use `tidypandas`

`tidypandas` is for you if:

-   you *frequently* write data manipulation code using pandas

-   you prefer to have stay in pandas ecosystem (see accessor)

-   you *prefer* to remember a [limited set of

    methods](https://medium.com/dunder-data/minimally-sufficient-pandas-a8e67f2a2428)

-   you do not want to write (or be surprised by)

    [`reset_index`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.reset_index.html),

    [`rename_axis`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename_axis.html)

    often

-   you prefer writing free flowing, expressive code in

    [dplyr](https://dplyr.tidyverse.org/) style

> `tidypandas` relies on the amazing `pandas` library and offers a

> consistent API with a different

> [philosophy](https://tidyverse.tidyverse.org/articles/manifesto.html).

## Presentation

Learn more about tidypandas

([presentation](https://github.com/talegari/tidypandas/blob/master/docs/tp_pres.html))

## Installation

1.  Install release version from Pypi using pip:

        pip install tidypandas

2.  For offline installation, use whl/tar file from the [releases

    page](https://github.com/talegari/tidypandas/releases) on github.

## Contribution/bug fixes/Issues:

1.  Open an issue/suggestion/bugfix on the github

    [issues](https://github.com/talegari/tidypandas/issues) page.

2.  Use the master branch from

    [github](https://github.com/talegari/tidypandas) repo to submit your

    PR.

------------------------------------------------------------------------