66This package collects a set of utilities for handling with public databases published by Brazil's DATASUS
77The documentation of how to use PySUS can be found [ here] ( http://pysus.readthedocs.io/en/latest/ )
88
9- If you use PySUS for a publication, please use the bibtex below to cite it:
9+ If you use PySUS for a publication, please use the bibtex below to cite it:
1010``` bibtex
1111@software{flavio_codeco_coelho_2021_4883502,
1212 author = {Flávio Codeço Coelho and
@@ -26,7 +26,6 @@ If you use PySUS for a publication, please use the bibtex below to cite it:
2626
2727## Features
2828
29-
3029- Decode encoded patient age to any time unit (years, months, etc)
3130- Convert ` .dbc ` files to DBF databases or read them into pandas dataframes. DBC files are basically DBFs compressed by a proprietary algorithm.
3231- Read SINAN dbf files returning DataFrames with properly typed columns
@@ -138,26 +137,6 @@ datetime.date(2016, 4, 1)
138137
139138```
140139
141- ** Reading ` .dbc ` file:**
142-
143- ``` python
144- >> > from pysus.utilities.readdbc import read_dbc
145-
146- >> > df = read_dbc(filename, encoding = ' iso-8859-1' )
147- >> > df.info()
148- < class ' pandas.core.frame.DataFrame' >
149- RangeIndex: 1239 entries, 0 to 1238
150- Data columns (total 58 columns):
151- AP_MVM 1239 non- null object
152- AP_CONDIC 1239 non- null object
153- AP_GESTAO 1239 non- null object
154- AP_CODUNI 1239 non- null object
155- AP_AUTORIZ 1239 non- null object
156- AP_CMP 1239 non- null object
157- AP_PRIPAL 1239 non- null object
158- AP_VL_AP 1239 non- null float64
159- ...
160- ```
161140Downloading and reading SINASC data:
162141
163142``` python
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