semvec/pypi-packages huggingface dataset:
qqpat 1.528
Python Financial Performance Analysys Tool
License: MIT
Keywords: financial time series statistics performance analytics

# qq-pat

The qq-pat library provides you with an easy interface for the creation of graphs and the calculation of statistics for financial time series. The library uses time series stored within pandas dataframes to make its calculations. You can have either one or several columns within your dataframe and qq-pat will always calculate statistics for all of them and return the results as either a list (if you are calculating something like the Sharpe ratio) or an actual pandas dataframe with the same number of columns.

To use qq-pat is very easy. First make sure you create a pandas series or dataframe that contains either the daily returns or the daily price/balance for the assets or strategies you want to evaluate. After this simply initialize the qq-pat analyzer:

```
analyzer = qqpat.Analizer(data, column_type='price')
```

You can then use the analyzer object to create many different graphs or obtain the value for different statistics. For example if you want to obtain a PerformanceAnalytics style summary of system results you can use :

```
analyzer.plot_analysis_returns()
```

See the test.py file for a test showing you how to obtain different statistics of a group of three different stocks/ETFs. 

Use the "pydoc -w qqpat" command to generate an htm containing all function definitions available within the library plus relevant comments.
git-tidbit 0.4
Learn something new every time you commit!
License: MIT
Keywords: git vcs fun commit til tidbit

# git-tidbit

Git a tidbit everytime you successfully commit to a repo.

![Showcase](https://github.com/savala/git-tidbit/blob/master/screenshots/screenshot.png)

#Install
```
pip install git-tidbit
```

*If you have trouble on OS X due to permissions, try out `pip install --user git-tidbit`

Once installed, you'll need to run `git init` in your existing repositories to pull in our
post-commit hook. If you'd like to do this for all of your existing repos, use the following:

`find /my/dev/folders -name .git -type d -prune -execdir git init \;`

#Uninstall

Once uninstalled, git-tidbit will clean up after itself. You can double check it's cleanliness by looking at your git config for the `init.templatedir` entry.

#Develop

1. Clone the repo

2.
```sh
git clone https://github.com/savala/git-tidbit.git
```

3.
```sh
sudo pip install -e ./git-tidbit
```


# Usage

Use your normal git workflow. Whenever you commit, you'll learn something new!

```sh
git commit -m "I'm really just doing this to get a snapple fact"
```

# Tidbit Sources

All tidbit modules **must** implement a `get_tidbit` function
that returns a string. They are free to implement that functionality however they please~

## Reddit
Reddit service fetches a random TIL (Today I learned)

## Snapple
Random snapple cap fact

## Fortune

You'll need `fortune` installed. You can get it with your favorite package manager:

```
brew install fortune
yum install fortune
apt-get install fortune fortune-mod
pacman -S fortune-mod
```

####### *Try out cowsay!*
simple-venn 0.1.0
Simple venn diagrams
License: MIT
Keywords: venn diagram matplotlib

simple-venn
===========

Simple two-way, three-way, and four-way Venn diagrams in matplotlib.

The function calls are mostly interchangeable with those from
`matplotlib\_venn <https://github.com/konstantint/matplotlib-venn>`__.
The ``venn2`` and ``venn3`` functions lack the ``normalize_to``
parameter, and all functions return an ``AxesSubplot`` object instead of
a ``VennDiagram``.

``simple-venn`` makes label customization slightly easier by permitting
string subset labels and including parameters for set and subset label
font sizes. The default font sizes are appropriate for an 8 inch by 8
inch axes.

Example code can be found in the demo `iPython notebook
<https://github.com/msto/simple-venn/blob/master/demo/simple-venn-demo.ipynb>`__.