number_tuple = (1,4,6,3)
sensex_quaterly_df = psql.sqldf("SELECT * FROM sensex_df
WHERE 'Num' IN ('number_tuple')")
"HERE number_tuple has the values that I want to retrieve from sensex_df database"
Because pandasql
allows you to run SQL on data frames, you can build SQL with concatenated values of tuple into comma-separated string using string.join()
.
number_tuple = (1,4,6,3)
in_values = ", ".join(str(i) for i in number_tuple)
sql = f"SELECT * FROM sensex_df WHERE Num IN ({in_values})"
sensex_quaterly_df = psql.sqldf(sql)
However, concatenated SQL strings is not recommended if you use an actual relational database as backend. If so, use parameterization where you develop a prepared SQL statement with placeholders like %s
of ?
and in subsequent step binding values. Below demonstrates with pandas read_sql
:
number_tuple = (1,4,6,3)
in_values = ", ".join('?' for i in number_tuple)
sql = f"SELECT * FROM sensex_df WHERE Num IN ({in_values})"
sensex_quaterly_df = pd.read_sql(sql, conn, params=number_tuple)