semvec/pypi-packages huggingface dataset:
gdphelper 1.1.11
A package for streamlining EDA processes for basic Data Analysis
License: MIT
Requires Python: >=3.9,<4.0

[![Documentation Status](https://readthedocs.org/projects/gdphelper/badge/?version=latest)](https://gdphelper.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/UBC-MDS/gdphelper/branch/main/graph/badge.svg?token=dZEs5iPrE5)](https://codecov.io/gh/UBC-MDS/gdphelper)  

# gdphelper

This package is designed to take the url of any of the several dozen GDP-related csv datasets from the [Canadian Government Open Data Portal](https://open.canada.ca/en/open-data) and download, clean load, summarize and visualize the data contained within.  

It contains 4 functions:

`gdpimporter`: Downloads the zipped data, extracts, renames the appropriate csv, and returns a dataframe along with the title from the meta data.    
`gdpcleaner`: Loads the data, removes spurious columns, renames used columns, scrubs and data issues. Returns a basic data frame and some category flags.   
`gdpdescribe` : Evaluates the data category and generates summary statistics by year, region, industry, etc.  
`gdpplotter`: Generates a set of visualizations of the data set according to the user's choices.

This package is built upon a bunch of popular packages in Python ecosystem, including
`zipfile`, `matplotlib`, and  `pandas.` What makes this package unique is that it incorporates the common functionalities and streamlines the workflow from downloading the data to performing simple EDA, specifically for the GDP-related data from the Canadian Government Open Data Portal.

## Installation

```bash
$ pip install gdphelper

```

## Usage
```python
from gdphelper import gdpimporter
from gdphelper import gdpcleaner
from gdphelper import gdpdescribe
from gdphelper import gdpplotter

URL = "https://www150.statcan.gc.ca/n1/tbl/csv/36100400-eng.zip"
data_frame, title = gdpimporter.gdpimporter(URL)
clean_frame = gdpcleaner.gdpcleaner(data_frame)
gdpdescribe.gdpdescribe(clean_frame, "Value", "Location", stats=["mean", "median", "sd", "min", "max", "range_"], dec=2)
gdpplotter.gdpplotter(clean_frame)
```

for more detailed documentation, see: https://gdphelper.readthedocs.io/en/latest/

## Contributors

- Aldo Barros          aldosaltao@gmail.com
- Gabe Fairbrother     gfairbrother@gmail.com
- Wanying Ye           wanying.ye2020@gmail.com
- Ramiro Mejia         ramiromejiap@gmail.com

## Contributing

Interested in contributing? Check out the [contributing guidelines](https://github.com/UBC-MDS/Group_03_GOV_CA_GDP_HELPER/blob/main/CONTRIBUTING.md). Please note that this project is released with a [Code of Conduct](https://github.com/UBC-MDS/Group_03_GOV_CA_GDP_HELPER/blob/main/CONDUCT.md). By contributing to this project, you agree to abide by its terms.

## License

`gdphelper` was created by Aldo Barros, Gabriel Fairbrother, Ramiro Mejia, Wanying Ye. It is licensed under the terms of the MIT license.

## Credits

`gdphelper` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
disnake-discodo 1.0.2
Audio Player for Discord
License: MIT
Requires Python: >=3.7

# Disnake-Discodo

![PyPI](https://img.shields.io/pypi/v/disnake-discodo?logo=pypi)
![PyPI - License](https://img.shields.io/pypi/l/disnake-discodo)
![GitHub Workflow Status](https://img.shields.io/github/workflow/status/HexaCalendar/disnake-discodo/Python%20application?logo=github)
![GitHub Workflow Status](https://img.shields.io/github/workflow/status/HexaCalendar/disnake-discodo/Upload%20Python%20Package?label=release&logo=pypi)


Discodo is an enhanced audio player for discord.

## Features

* Standalone Audio Node
* Youtube Related Video Autoplay
* Crossfade and Audio effects
* Synced Youtube Video Subtitle

## Documentation

**More information can be found [here](https://discodo.readthedocs.io/en/latest/).**

## Installation

**Discodo requires Python 3.7 or higher**

```sh
python -m pip install --upgrade disnake-discodo
```

On Linux environments, more dependencies are required.

## Execution

### Audio Node Server

**Additional options can be seen with the --help flag**

```sh
python -m disnake-discodo
```

### Client libraries

* [discodo](https://github.com/kijk2869/discodo) (Python)
* [disnake-discodo](https://github.com/HexaCalendar/disnake-discodo) (Python)
* [discodo.js](https://github.com/kijk2869/discodo.js) (Node.JS)

## Supported sources

+ All sources that can be extracted from [youtube_dl](https://github.com/ytdl-org/youtube-dl)
+ All formats that can be demuxed by [libav](https://libav.org/)
servianwidgets 1.0.3
A simple library providing dataframe feature selection, and sklearn training comparison widgets
License: MIT
Keywords: widgets

'A simple library providing dataframe feature selection, and sklearn training comparison widgets

Change Log
==========

1.0.0 (27/01/2022)
------------------
- Full Release

1.0.1 (27/01/2022)
------------------
- Fixed a small error in the code