semvec/pypi-packages huggingface dataset:
outlier-plotting 0.2.1
More graceful handling of outliers in plots
Requires Python: >=3.6

# outlier_plotting
More graceful handling of outliers in plots. Currently supports most of seaborn categorical scatter, distributional and estimate plots.

## Functionality

`handle_outliers` remove outliers from the plot and show them as text boxes. It can be used with most `seaborn` plotting function that works with long-form data as well as `kdeplot`.

Notable exceptions are:

- `countplot`
- `lineplot`
- `scatterplot`

Please not that only inliers are passed into the plotting function, consequently density estimates and functionals are only computed on that subset and **not** representative of the whole data.

### Example

```python
from outlier_plotting.sns import handle_outliers
import seaborn as sns
from matplotlib import pyplot as plt

plt.title('Showing Outliers')
sns.boxplot(data=df, y = 'type', x='value')
plt.show()

plt.title('With Outlier Handling')
handle_outliers(data=df, y = 'type', x='value', plotter=sns.boxplot)
plt.show()
```


![png](https://github.com/wendli01/outlier_plotting/raw/master/images/output_7_0.png)

![png](https://github.com/wendli01/outlier_plotting/raw/master/images/output_7_1.png)

For more examples, see [examples.ipynb](https://github.com/wendli01/outlier_plotting/blob/master/examples.ipynb).


# Installation

## conda

`conda env create -f environment.yml`

##PyPI

[`pip install outlier-plotting`](https://pypi.org/project/outlier-plotting/)
kriegbot 0.4a2
Library for creating bots with VK API

# kriegbot
Event-based VK bot engine written in Python and designed for work with
tricky VK public API workarounds.

## Feature highlights
### API workarounds
VK public API provides convenient event listening methods such as
Callback API or Longpoll API, however, those require administrative
access to groups/public pages.

kriegbot comes with multiple built-in listeners that are using workarounds
for updates detection.

### Quick start
kriegbot is designed to be the core of your bot script and does all the
heavy work under the hood — all you need is to initialize it, declare
what events you need to track and then just process events.

## Installation
kriegbot is available on PyPI and is installable with `pip install`:
```shell script
$ pip install kriegbot
```

Alternatively, you can build `pip` package from sources:
```shell script
$ git clone https://gitlab.com/kriegvk/kriegbot
$ cd kriegbot
$ pip install .
```

## Usage
A complete and ready-to-use example of a kriegbot-powered VK bot can be found at 
[examples/sample_bot.py](examples/sample_bot.py)
pistatus 1.0.0.1
An application that allows you to check the status of your Raspberry Pi
Requires Python: >=3.6


<h1 align="center"><img src="https://www.raspberrypi.org/wp-content/uploads/2011/10/Raspi-PGB001.png" alt="Raspberry Pi Logo" height=200 align="middle">Pi-Status</h1>

[![Downloads](https://pepy.tech/badge/pistatus)](https://pepy.tech/project/pistatus)

Pi-Status fetches basic statistics regarding your Raspberry Pi including network, CPU, RAM & storage stats it then displays the stats in the command-line, a GUI app or a browser tab. The program can be used for remote monitoring of headless deploys or simply to conveniently get stats on your Pi. The GUI app and browser tab refresh the stats on a timely basis. The lyrics are fetched from Genius.

## Installation
Requires Python 3.6+. Use pip or pip3 depending on your installation. You might want to use the `--user` flag on Linux to avoid using pip as root.
```
pip install pistatus
```
## Changelog

- #### v1
	- The First Version!


## Usage
`usage: pistatus [-g] [-w]`

To use the CLI output no arguments are required.

Arguments:
```
  -g, show the stats in the gui form       
  -w, start the web server on the local network      
```
You can quit the web server by pressing <kbd>Ctrl</kbd>+<kbd>C</kbd> and you will be able to see the IP address in the command line for reference. 

## Compiling PiStatus for Development

- Clone into this repo
- `cd` into the cloned repo.
- `pip install -e .` the -e flag installs it locally in editable mode.

## Screenshots


**Web View**

<br>

<img src="https://github.com/sampoder/pi-status/blob/master/images/webserver.png?raw=true" alt="Web View" width = 50%>

**CLI View**

<br>

<img src="https://github.com/sampoder/pi-status/blob/master/images/cli.png?raw=true" alt="CLI View">

**GUI View**

<br>

<img src="https://github.com/sampoder/pi-status/blob/master/images/gui.png?raw=true" alt="GUI View">