Library for data mining about covid-19 in brazilian cities
Project description
CovidBr
Library for data mining about covid-19 in brazilian cities 📈📊📚
Installation
$ pip install covidbr -U
Examples
Get data from cities
import covidbr as cb
cb.show_console(True)
place = 'Petrolina PE'
data_pet = cb.city(place)
publishing painel data from covid on the instagram
import covidbr as cb
cb.show_console(True)
cityes = ['juazeiro BA','Petrolina PE']
for city in cityes:
data_covid = cb.data_from_city(city)
cb.publish_painel_covid(data=data_covid,user='user_insta',password='password_insta')
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
covidbr-0.1.251-py3-none-any.whl
(20.7 kB
view details)
File details
Details for the file covidbr-0.1.251-py3-none-any.whl.
File metadata
- Download URL: covidbr-0.1.251-py3-none-any.whl
- Upload date:
- Size: 20.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.0.1 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4ed0e4d67f847ed1415302964e5e874ce8827f55091a05d925466a1b906e5653 |
|
| MD5 | 62aa21499f22b857e90d4e8e81fb0335 |
|
| BLAKE2b-256 | 4ea7787fa988b32ad29468aa1710d4e12c868f4e4e6453f92dc5168bf6d1f98c |
