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 = 'Juazeiro BA'
data_pet = cb.city(place)

getting the light data and working with it

dataset = data_city.dados
dados

             casos  mortos  mortes_diarias  casos_diarios  population
23/mar/2020      1       0               0              1      218162
24/mar/2020      2       0               0              1      218162
25/mar/2020      2       0               0              0      218162
26/mar/2020      2       0               0              0      218162
27/mar/2020      2       0               0              0      218162
...            ...     ...             ...            ...         ...
26/dez/2021  18752     417               0              0      218162
27/dez/2021  18752     417               0              0      218162
28/dez/2021  18752     417               0              0      218162
29/dez/2021  18752     417               0              0      218162
30/dez/2021  18752     417               0              0      218162

[648 rows x 5 columns]

getting the data of death's:

mortos = dataset['mortos']
mortos

23/mar/2020      0
24/mar/2020      0
25/mar/2020      0
26/mar/2020      0
27/mar/2020      0
              ... 
26/dez/2021    417
27/dez/2021    417
28/dez/2021    417
29/dez/2021    417
30/dez/2021    417
Name: mortos, Length: 648, dtype: int64

getting the data of case's:

casos = dataset['casos']

23/mar/2020        1
24/mar/2020        2
25/mar/2020        2
26/mar/2020        2
27/mar/2020        2
               ...  
26/dez/2021    18752
27/dez/2021    18752
28/dez/2021    18752
29/dez/2021    18752
30/dez/2021    18752
Name: casos, Length: 648, dtype: int64

getting the mortality percent:

perc_m = (mortos/casos)*100
perc_m

23/mar/2020    0.000000
24/mar/2020    0.000000
25/mar/2020    0.000000
26/mar/2020    0.000000
27/mar/2020    0.000000
                 ...   
26/dez/2021    2.223763
27/dez/2021    2.223763
28/dez/2021    2.223763
29/dez/2021    2.223763
30/dez/2021    2.223763
Length: 648, dtype: float64

Metadata

Release files for covidbr 0.2

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Built distribution (wheel)

Table of built distributions (wheels) for covidbr 0.2
File	Interpreter	ABI	Platform	Reset
covidbr-0.2-py3-none-any.whl 21.0 kB Dec 31, 2021 Without provenance	Python 3	none	any	Details

Release files / covidbr-0.2-py3-none-any.whl

Download URL	covidbr-0.2-py3-none-any.whl
Size	21.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`82f46cc99ce3035f5e7f8045e0a09e4130622e59104c6ef300641de3b3c2b476`
BLAKE2b-256 checksum How to use checksums	`3dd9709c8279465a0ab3ac988032dd8eea1072f71374ed020837463a6121d640`
Upload date	Dec 31, 2021
Uploaded using Trusted Publishing? What is 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`

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