Metadata-Version: 2.1
Name: phcovid
Version: 0.0.2
Summary: Get PH COVID data in only two lines of code!
Home-page: https://github.com/enzoampil/phcovid
Author: Lorenzo Ampil
Author-email: lorenzo.ampil@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: matplotlib (==3.1.2)
Requires-Dist: pandas (==0.25.3)
Requires-Dist: beautifulsoup4 (==4.8.2)

# phcovid
[![Build Status](https://travis-ci.com/enzoampil/phcovid.svg?branch=master)](https://travis-ci.com/github/enzoampil/phcovid)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg )](https://raw.githubusercontent.com/enzoampil/phcovid/master/LICENSE)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

## Get PH COVID data in only two lines of code!
Source: PH DOH data shared in this [blog post](https://www.facebook.com/notes/wilson-chua/working-with-doh-covid-data/2868993263159446/)

## Setup
```
pip install phcovid
```

## Get PH COVID Data
```
from phcovid import get_cases
df = get_cases()
print(get_cases().iloc[:5, :5])

#  case_no  age     sex nationality    residence
#0     PH1   38  Female     Chinese         None
#1     PH2   44    Male     Chinese         None
#2     PH3   60  Female     Chinese         None
#3     PH4   48    Male    Filipino  Taguig City
#4     PH5   62    Male    Filipino        Rizal
```


