Now, the following method https://github.com/PyMap/ssyt/blob/main/ssyt/visprev.py#L14-L73 allows to get series of nominal prices from the properati database.
I decided to left it aside because of the bad time performance to achieve the query. Passing trough streamlit is considerably more time consuming than the big query workspace.
TODO:
Explore a way to improve time performance when connecting streamlit with bigquery to query the database. The idea of the method above is to avoid parsing a csv with the time series
Now, the following method https://github.com/PyMap/ssyt/blob/main/ssyt/visprev.py#L14-L73 allows to get series of nominal prices from the properati database.
I decided to left it aside because of the bad time performance to achieve the query. Passing trough streamlit is considerably more time consuming than the big query workspace.
TODO:
Explore a way to improve time performance when connecting streamlit with bigquery to query the database. The idea of the method above is to avoid parsing a csv with the time series