covidbr 0.2

Library for data mining about covid-19 in brazilian cities

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