semvec/pypi-packages huggingface dataset:
stonks-data 0.0.1
A python package for accessing historical stock data. This library was designed with a plugin framework for easy extendability and the data can optionally be stored in a local cache for quicker access.
Requires Python: >=3.6

# Stonks

A python package for accessing historical stock data. This library was designed with a plugin framework for easy extendability and the data can optionally be stored in a local cache for quicker access.

## Available Keywords From Base Plugins

`Open` Opening price.

`High` Highest price.

`Low` Lowest price.

`Close` Closing price.

`Volume` Trading volume.

`Dividends` Dividends paid.

`Stock Splits` Stock splits.

`Monthly Relative Interest` Google Trends Interest value relative to the past 30 days.

`Annual Relative Interest` Google Trends Interest value relative to the past 365 days.

`Monthly Relative Interest To S&P` Google Trends Interest value relative to "S&P" Interest value within the past
30 days.

`Annual Relative Interest To S&P` Google Trends Interest value relative to "S&P" Interest value within the past
365 days.

`Shares` Number of shares outstanding.

`EPS` Earnings per share.

`D/E` Debt / equity ratio.

`FCFPS` Free cash flow per share.

`Current Ratio` Current ratio.

`Quick Ratio` Quick ratio.

`ROE` Return on equity.

`ROA` Return on assets.

`ROI` Return on investments.
commandLineMusicVideo 0.2.0
A small example package
Requires Python: >=3.6

# commandLineMusicVideo

This is a Python3 [pip package](https://pypi.org/project/commandLineMusicVideo) that uses ffmpeg to render videos using an image and audio file as inputs.

Tutorial Video: https://www.youtube.com/watch?v=tR6U8RrHubE

Example video rendered using this package: https://www.youtube.com/watch?v=5SqLD4GEVHc&t=911s

## Quickstart
* Make sure you have ffmpeg installed on your command line, ensure ffmpeg is downloaded by running the command:

  ```ffmpeg```
  Which should give you an output with info on the version of ffmpeg installed.

* Download the commandLineMusicVideo package with this command: ```pip install commandLineMusicVideo```
* Run the installed package with ```python3 -m commandLineMusicVideo -h -t``` to view the help page and test your ffmpeg.

## Examples

### Rendering individual videos and a full album video for a folder.

``` python3 -m commandLineMusicVideo -songs "../../../Infernal Love/Violet Eves - Promenade [1988, IRA]/" mp3 "front.jpg" -fullAlbum -removeFirst 19```

This command will get 'front.jpg' and all the mp3 files located in the specified folder:
![step1](https://i.imgur.com/0l2YIJZ.png)

The ```-removeFirst 19``` tag will format the individual song output filenames based on their input filename, for example, the filename ```Violet Eves - 04 - Fiaba di Sale``` after having its first 19 chars removed, would be: ```Fiaba di Sale```

After running the full commandLineMusicVideo command, the folder output (with all the individual songs AND the fullAlbum) will look like this:
![step1](https://i.imgur.com/xDm7Ps9.png)

The output videos will keep the image's aspect ratio.
![step1](https://i.imgur.com/KA7xfhT.png)


## Flags

```-h``` Display help.

```-test``` Test your ffmpeg.

```-songs "folderFilepath/" "audioFormat" "imageName.jpeg"``` Render each audioFormat file in the folderFilepath, using the imageName also found in the folderFilepath.

```-fullAlbum``` Render full album with these songs as well.

```-fullAlbumOnly``` Only render the full album.

```-outputResolution 1920:1080``` Set output resolution for video.

* Output Filename Formatting Flags:

```-removeFirst #``` Remove first # chars from song filename for output filename.

```-removeUpTo "-"``` Remove everything up to and including the first instance of this char.

```-removeAfter "-"``` Remove everything after and including this char.

```-titleize``` Capitalize first letter of each word of output filename')