semvec/pypi-packages huggingface dataset:
metatables 0.0.14
Data wrangling on files read with pyreadstat
Keywords: python

# metatables

This is a repository that enables easy data wrangling on files read with the pyreadstat package.

[![PyPI Latest Release](https://img.shields.io/pypi/v/metatables.svg)](https://pypi.org/project/metatables/)
[![Package Status](https://img.shields.io/pypi/status/metatables.svg)](https://pypi.org/project/metatables/)
[![License](https://img.shields.io/pypi/l/metatables.svg)](https://github.com/tez4/metatables/blob/main/LICENSE)
[![Downloads](https://pepy.tech/badge/metatables)](https://pepy.tech/project/metatables)

## Installation

Run the following to install:

``` bash
pip install metatables
```

## Usage

``` python
from metatables import MetaTable

# Add files from pyreadstat to MetaTable
x = MetaTable(df, meta)

# change val_lab of variables 'F5_01' and 'F5_02'
x.val_lab(['F5_01', 'F5_02'], {1: 'Fish', 2: 'Chips'})

# change var_lab of the same variables to 'New Label'
x.var_lab(['F5_01', 'F5_02'], 'New Label')

# select columns that should be kept in MetaTable
x.select_columns(['F5_01', 'F5_02'])

# show info about variable 'F5_01'
x.show('F5_01')

# write to .sav file
x.write_sav('./filename.sav')
```

## Documentation

The official documentation is hosted on GitHub Pages: https://tez4.github.io/metatables/

## Developing

To install the package, along with the tools you need to develop and run tests, run the following in your virtualenv:

``` bash
pip install -e .[dev]
```

Add documentation:

``` bash
pdoc --html --output-dir docs metatables --config show_source_code=False -f
```

Create the package files:

``` bash
python setup.py sdist bdist_wheel
```

Upload to [pypi.org](https://pypi.org/project/metatables/):

``` bash
twine upload dist/*
```