semvec/pypi-packages huggingface dataset:
wltr-ebct-finder 1.1.0
API para consulta de endereço e CEP
Keywords: cep endereco correios ebct api busca

# Wltr EBCT Finder

<a href="https://pypi.org/project/wltr-ebct-finder/">
  <img alt="PyPI" src="https://img.shields.io/pypi/v/wltr-ebct-finder">
</a>

[![Build Status](https://travis-ci.com/walteravelino/Projetos.svg?branch=master)](https://travis-ci.com/walteravelino/Projetos)
<img src = "https://img.shields.io/github/languages/top/walteravelino/wltr-ebct-finder">
<a href="https://github.com/walteravelino/Projetos/blob/master/LICENSE"><img src = "https://img.shields.io/github/license/walteravelino/Projetos"></a>

Wltr EBCT Finder é uma API para consulta de endereços e CEP através do site da Empresa Brasileira de Correios e Telégrafos.

## Autor

👤 **Walter Avelino**

- StackOverFlow [@walteravelino](https://stackoverflow.com/users/13001807/walter-avelino)
- Github: [@walteravelino](https://github.com/walteravelino)
- Linkedin: [@walteravelino](https://linkedin.com/in/walter-avelino-434197105)
- DEV: [@walteravelino](https://dev.to/walteravelino)


## 📝 Licença

Copyright © 2020 [Walter Avelino](https://github.com/walteravelino). <br />
Os projetos estão sob a licença [MIT](https://github.com/walteravelino/Projetos/blob/master/LICENSE).


## Instalação

 A API Wltr EBCT Finder pode ser instalada utilizando o pip:

    $ pip install wltr-ebct-finder


## Guia rápido

```python
>>> import wltr_ebct_finder

>>> address = wltr_ebct_finder.find_data('04311050')
>>> print(address)

    {'cep': '04311-050',
     'logradouro': 'Rua Ramiro Barcelos',
     'complemento': '',
     'bairro': 'Vila Guarani (Z Sul)',
     'localidade': 'São Paulo',
     'uf': 'SP',
     'ibge': '3550308',
     'gia': '1004',
     'ddd': '11',
     'siafi': '7107'}
```
fmp 0.2
Formats python files with properly sorted import statemnts

# fmp: (F)or(m)at(P)ython

Uses [yapf](https://github.com/google/yapf) and [autoflake](https://github.com/PyCQA/autoflake) to format python files, but ***with properly sorted import statements***.

## Requirements

- [Python>=3.6](https://www.python.org/downloads/)

## Installation

```
pip install fmp
```

## Usage

```
usage: fmp [-h] [-s {pep8,google,yapf,facebook}] [-i] [-o] [-n] [-k]
             files [files ...]

positional arguments:
  files                 files to format

optional arguments:
  -h, --help            show this help message and exit
  -s {pep8,google,yapf,facebook}, --style {pep8,google,yapf,facebook}
                        Formatting style
  -i, --in-place        Make changes in-place
  -o, --only-imports    Only return sorted import statements
  -n, --show-line-numbers
                        Render a column for line numbers
  -k, --keep-external-unused-imports
                        Keep the import statement of external unused modules
```

## Examples

[![Examples](static/examples.gif)](https://asciinema.org/a/x8UJrOu8PY7kvMV4UaYbHmrO9)
ecg-noise-detector 0.0.3
Detect noise in ECGs
Requires Python: >=3.6

# ecg-noise-detector

This package helps detect and manage noise in ECGs

## 📚 Original publication

Yet to be published

## 🔧 Instalation

This package is available via pip
```
pip install ecg-noise-detector
```

## 💻 Get started

It is important that raw ECGs (i.e not bandpass filtered) are used when using `is_noisy` and `plot_ecg`

```python
from ecg_noise_detector import noiseDetector

# Generate a noisy ECG
ecg = noiseDetector.get_example_ecg('noisy')

# Plot the ecg with green highlights on where clean signal is present
noiseDetector.plot_ecg(ecg)

# Classify the ecg
print(noiseDetector.is_noisy(ecg))

```

## 📒 Quick Specification

```python
get_example_ecg(ecgType)
'''
RETURNS 
Numpy array of 30s raw ECG of specified type

INPUTS
@ ecgType - ['clean' | 'noisy'], specifies which ecg to generate
'''

plot_ecg(ecg, fs=500, highlights=True, show=True)
'''
RETURNS 
pyplot figure of filtered (and highlighted) ecg

INPUTS
@ ecg - raw ecg
@ fs - sampling frequency
@ highlights - show highlights (green when segment is clean, grey when noisy)
@ show - display figure when function is executed
'''

is_noisy(ecg, fs=500)
'''
RETURNS 
boolean (True if ecg is noisy, False if not)

INPUTS
@ ecg - raw ecg
@ fs - sampling frequency
'''

```