semvec/pypi-packages huggingface dataset:
outlier-101703382 1.0.0
Outlier Removal Using Z-score or IQR
Requires Python: >=3.6
Keywords: command-line,Outliers,outlier-removal,row-removal

# Library for removing outliers from pandas dataframe

```
PROJECT 2, UCS633 - Data Analysis and Visualization
Paras Arora  
COE18
Roll number: 101703382
```
Takes two inputs - filename of input csv, intended filename of output csv.

Output is the number of rows removed from the input dataset.It also shows new dataset in case of IQR

Output is the number of rows removed from the input dataset in case of z-score

## Installation
`pip install outlier_101703382`

*Recommended - test in a virtual environment.* 

## Use via command line
```
outliers_cli in.csv out.csv
outliers_cli in.csv out.csv 1.5
```

First argument after outcli is the input csv filename from which the dataset is extracted. The second argument is for storing the final dataset after processing.

## Use in .py script
```
from outlier_101703382 import remove_outliers_iqr
remove_outliers('input.csv', 'output.csv')
```
```
from outlier_101703382 import remove_outliers
remove_outliers('input.csv', 'output.csv',threshold)
```
pylibtermkey 0.3.1
Python bindings for libtermkey

<!---
Copyright (c) 2019 Michael Vilim

This file is part of the pylibtermkey library. It is currently hosted at
https://github.com/mvilim/pylibtermkey

pylibtermkey is licensed under the MIT license. A copy of the license can be
found in the root folder of the project.
-->

## pylibtermkey

[![PyPI Release](https://img.shields.io/pypi/v/pylibtermkey.svg)](https://pypi.org/project/pylibtermkey/)
[![Build Status](https://travis-ci.org/mvilim/pylibtermkey.svg?branch=master)](https://travis-ci.org/mvilim/pylibtermkey)

pylibtermkey is a set of Python bindings for [libtermkey](http://www.leonerd.org.uk/code/libtermkey/), a library for interpreting terminal input. [Other Python bindings](https://github.com/temoto/ctypes_libtermkey) are out of date and not easily installable. This project has a few differences:

* libtermkey is automatically built as part of this project
* pybind11 is used for easy binding 
* unit tests are included 
* precompiled wheels are built from this repo and available on PyPI

### Installation

To install from PyPI:

```
pip install pylibtermkey
```

### Example

A minimal example of obtaining a keystroke and printing the results:

```
import pylibtermkey_cpp as termkey
tk = termkey.TermKey()

res, key = tk.waitkey()
print(res)
print(tk.strfkey(key, termkey.TermKeyFormat.VIM)
```

Note that, by default, termkey will read from stdin causing python terminal to not display typed characters. It is best to use termkey in an pre-written script rather in a REPL setup (as you will not be able to see what you are typing once termkey is active).

For other features, see the [tests](https://github.com/mvilim/pylibtermkey/blob/master/python/pylibtermkey/test_pylibtermkey.py) or the [libtermkey man pages](http://www.leonerd.org.uk/code/libtermkey/doc/).

### Building

To build this project:

Building from source requires cmake (`pip install cmake`).

```
python setup.py
```

### Unit tests

To run the unit tests:

```
python setup.py test
```

or use nose:

```
nosetests python/pylibtermkey
```

### Licensing

This project is licensed under the [MIT license](https://github.com/mvilim/pylibtermkey/blob/master/LICENSE). It uses the [pybind11](https://github.com/pybind/pybind11/) and [libtermkey](http://www.leonerd.org.uk/code/libtermkey/) projects whose licenses can be found in those [projects' directories](https://github.com/mvilim/pylibtermkey/blob/master/cpp/thirdparty).
apidatawho 0.0.8
Getting the world helth organization data using WHO API

# Explore a world of health data (THE GLOBAL HEALTH OBSERVATORY) python Library for world health organization API

This is a python package having multiple utilities. 
[Github-flavored Markdown](https://github.com/deepstartup/WHOAPIdata/)
[Source : https://www.who.int/data/gho/info/gho-odata-api]
1.whoApi.getDimension() : Retrieving the list of available dimensions
2.whoApi.DimensionValues() : Retrieving a list of available values for a specific dimension
3.whoApi.IndicatorValue() : Retrieving the indicators list
4.whoApi.IndFilterlike(IndicatorNameVal) : To select only the indicators which contain a specific text.Retrieving the indicators list
5.whoApi.IndFilterSpec(Tindicator) : To select only the indicators that have a specific title,Retrieving the indicators list
6.whoApi.IndData(IndCode) : Specify an indicator to download by specifying the indicator code. 
This will return all associated data for that specific indicator.
Retrieving indicator data
7.whoApi.IndAllData():Retrieving All Ind data in pandas dataframe,
Warning : Please set our context memory size before calling this function

#Data Returns in three format:
JSON,DF(DataFrame),XML. Default Format is : JSON
clitt 1.2.1
Use Twitter from your terminal!
Requires Python: >=3.7,<4.0
Keywords: Twitter,Client,Command-line

# Clitt

Ever wanted to tweet straight from your terminal? Wait, is it just me?

## How to install it?

Install Clitt using pip or pipx

```bash
    pip install --user clitt \\ pipx install clitt
```

## How to use it?

Clitt is meant to be simple (or at least as simple as a command line client for Twitter can be), so you just need to call `clitt` or `tt`, choose an action and pass the required parameters to perform the action. 

Running `clitt` or `tt` for the first time will open a new tab on your browser with an authorization consent from Twitter, hit the authorize button, copy the code that will pop-up and paste it into the terminal. After the first time, your authorization token will be saved on your computer (and only there) for further uses.

## What can i do with Clitt?

#### Read your timeline

```$ clitt read```

![Clitt read](./docs/screenshot.png)

#### Write a Tweet

```$ clitt post "Hey, i'm using Clitt to write this!"```

#### DM someone

```$ clitt dm @target "Hey, i'm using Clitt to send you this DM!"```

#### Read your chat with another user

```$ clitt chat @target```

## Future features

- Search for tweets using keywords
- Display and attach images to tweets
- Implement filters and other customization options
- Support theme colors

## Contributing

Have you thought about any cool features you wanted to see in Clitt? Send a PR. Found any bugs in the current implementation? Feel free to open an issue. Here's a guide to some things you might need to work on Clitt.

##### Twitter dev account

You will need to make an application for a [Twitter developer account](https://developer.twitter.com/en/apply-for-access) if you want to publish your own version of Clitt, but for testing and development within this project you can use my key that is already included with this repository. If you have you own key, put it on the `config/keys.json` file inside the package.

##### Tweepy

Tweepy is a Python wrapper for the Twitter REST API, it really makes life much more easier, you can check their [docs](https://tweepy.readthedocs.io/en/latest/) and probably will find what you looking for, but if you don't, search in the [Twitter docs](https://developer.twitter.com/en/docs).

##### Clitt project structure

If you want to implement a new feature, write it in the `actions.py` file and if you need to, add a new argument treatment in `__main__.py`. Write simple and multiplatform code.