Skip to main content

Library for data mining about covid-19 in brazilian cities

Project description

CovidBr




PyPI - Downloads
CodeFactor Grade

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')

Project details


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-0.1.103-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file covidbr-0.1.103-py3-none-any.whl.

File metadata

  • Download URL: covidbr-0.1.103-py3-none-any.whl
  • Upload date:
  • Size: 13.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

File hashes

Hashes for covidbr-0.1.103-py3-none-any.whl
Algorithm Hash digest
SHA256 c63822f213b9f5934cebd2a07810a8dab1b5f70394f692f8d401c1bb515d4c11
MD5 4140ab6abb6b06e2841871bf7d8da642
BLAKE2b-256 0774a7c7fd63c4d769e4bebad175cc33a1e1da3d87dfed203fe74bcc92086ff4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page