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https://github.com/nf1s/covid
Python package to fetch information regarding the novel corona virus provided by Johns Hopkins university and worldometers.info
https://github.com/nf1s/covid
coronavirus covid covid-19 covid-2019 covid-api covid-virus python python36
Last synced: about 24 hours ago
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Python package to fetch information regarding the novel corona virus provided by Johns Hopkins university and worldometers.info
- Host: GitHub
- URL: https://github.com/nf1s/covid
- Owner: nf1s
- License: mit
- Created: 2020-03-10T12:51:45.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-07-20T08:57:27.000Z (5 months ago)
- Last Synced: 2024-12-14T11:10:28.494Z (8 days ago)
- Topics: coronavirus, covid, covid-19, covid-2019, covid-api, covid-virus, python, python36
- Language: Python
- Homepage: https://ahmednafies.github.io/covid/
- Size: 3.51 MB
- Stars: 42
- Watchers: 2
- Forks: 25
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Covid
[](https://circleci.com/gh/nf1s/covid) [](https://codecov.io/gh/nf1s/covid)  [](https://pepy.tech/project/covid) 
## Description
Python package to get information regarding the novel corona virus provided
by Johns Hopkins university and worldometers.info
Full Documentation can be found [here](https://nf1s.github.io/covid/)
## Requirements
python >= 3.10
## How to install
pip install covid
## Dependencies
pydantic
requests
## How to use
## Getting data from Worldometers.info (default)
```python
covid = Covid()
```
### Get Data
```python
covid.get_data()
```
#### Result
```python
[
{
'country': 'USA',
'confirmed': 311637,
'new_cases': 280,
'deaths': 8454,
'recovered': 14828,
'active': 288355,
'critical': 8206,
'new_deaths': 2,
'total_tests': 1656897,
'total_tests_per_million': Decimal('0'),
'total_cases_per_million': Decimal('941'),
'total_deaths_per_million': Decimal('26')
},
{
'active': 1376,
'confirmed': 81669,
'country': 'China',
'critical': 295,
'deaths': 3329,
'new_cases': 30,
'new_deaths': 3,
'recovered': 76964,
'total_cases_per_million': Decimal('57'),
'total_deaths_per_million': Decimal('2'),
'total_tests': 0,
'total_tests_per_million': Decimal('0')
}
...
]
```
### Get Status By Country Name
```python
covid.get_status_by_country_name("italy")
```
#### Result
```python
{
'active': 88274,
'confirmed': 124632,
'country': 'Italy',
'critical': 3994,
'deaths': 15362,
'new_cases': 0,
'new_deaths': 0,
'recovered': 20996,
'total_cases_per_million': Decimal('2061'),
'total_deaths_per_million': Decimal('254'),
'total_tests': 657224,
'total_tests_per_million': Decimal('0')
}
```
### List Countries
```python
countries = covid.list_countries()
```
#### Result
```python
[
'china',
'italy',
'usa',
'spain',
'germany',
...
]
```
### Get Total Active cases
```python
active = covid.get_total_active_cases()
```
### Get Total Confirmed cases
```python
confirmed = covid.get_total_confirmed_cases()
```
### Get Total Recovered cases
```python
recovered = covid.get_total_recovered()
```
### Get Total Deaths
```python
deaths = covid.get_total_deaths()
```
## CLI 2.0 (New)
```bash
covid --help
```
### Get all data
#### Worldometers source (default)
```bash
covid
```
or
```bash
covid -s worldometers
```
#### John Hopkins source (deprecated)
```bash
covid -s john_hopkins
```
### List Countries
This comes in handy when you need to know the available names of countries
when using `covid -s 'source' -c 'country_name'`, eg. "The Republic of Moldova" or just "Moldova"
So use this when you need to know the country exact name that you can use.
```bash
covid -s worldometers --list-countries
```
### Get Status By Country Name
```bash
covid -s worldometers -c sweden
```
### Get Total Active cases
```bash
covid -s worldometers -o active
```
### Get Total Confirmed cases
```bash
covid -s worldometers -o confirmed
```
### Get Total Recovered cases
```bash
covid -s worldometers -o recovered
```
### Get Total Deaths
```bash
covid -s worldometers -o deaths
```
## John Hopkins University API (Deprecated)
### Get All Data
```python
from covid import Covid
covid = Covid()
covid.get_data()
```
#### Result
```python
[
{
'id': '53',
'country': 'China',
'confirmed': 81020,
'active': 9960,
'deaths': 3217,
'recovered': 67843,
'latitude': 30.5928,
'longitude': 114.3055,
'last_update': 1584097775000
},
{
'id': '115',
'country': 'Italy',
'confirmed': 24747,
'active': 20603,
'deaths': 1809,
'recovered': 2335,
'latitude': 41.8719,
'longitude': 12.5674,
'last_update': 1584318130000
},
...
]
```
### List Countries
This comes in handy when you need to know the available names of countries
when using `get_status_by_country_name`, eg. "The Republic of Moldova" or just "Moldova"
So use this when you need to know the country exact name that you can use.
```python
countries = covid.list_countries()
```
#### Result
```python
[
{'id': '53', 'country': 'China'},
{'id': '115', 'country': 'Italy'}
...
]
```
### Get Status By Country ID
```python
italy_cases = covid.get_status_by_country_id(115)
```
#### Result
```python
{
'id': '115',
'country': 'Italy',
'confirmed': 24747,
'active': 20603,
'deaths': 1809,
'recovered': 2335,
'latitude': 41.8719,
'longitude': 12.5674,
'last_update': 1584318130000
}
```
### Get Status By Country Name
```python
italy_cases = covid.get_status_by_country_name("italy")
```
#### Result
```python
{
'id': '115',
'country': 'Italy',
'confirmed': 24747,
'active': 20603,
'deaths': 1809,
'recovered': 2335,
'latitude': 41.8719,
'longitude': 12.5674,
'last_update': 1584318130000
}
```
### Get Total Confirmed cases
```python
confirmed = covid.get_total_confirmed_cases()
```
### Get Total Deaths
```python
deaths = covid.get_total_deaths()
```