Downloading data from the National Immunization program (PNI)

from pysus.online_data import PNI, parquets_to_dataframe

We can start by checking the data available for a given state, for example, Rio de Janeiro:

PNI.get_available_years('RJ')

['1994',
 '1995',
 '1996',
 '1997',
 '1998',
 '1999',
 '2000',
 '2001',
 '2002',
 '2003',
 '2004',
 '2005',
 '2006',
 '2007',
 '2008',
 '2009',
 '2010',
 '2011',
 '2012',
 '2013',
 '2014',
 '2015',
 '2016',
 '2017',
 '2018',
 '2019']

Then we can fetch data from a particular year:

rj19 = PNI.download('RJ', 2019)

parquets_to_dataframe(rj19)

	ANO	UF	MUNIC	IMUNO	QT_DOSE	POP	COBERT
0	2019	33	330010	000	372	2628	14,16
1	2019	33	330010	003	341	2628	12,98
2	2019	33	330010	006	144	2628	5,48
3	2019	33	330010	010	385	2628	14,65
4	2019	33	330010	012	522	2628	19,86
...	...	...	...	...	...	...	...
2185	2019	33	330630	098	578	3363	17,19
2186	2019	33	330630	099	402	3363	11,95
2187	2019	33	330630	102	75	6051	1,24
2188	2019	33	330630	103	1597		0
2189	2019	33	330630		3	3363	,09

2190 rows × 7 columns