When combined with Pandas' DataFrames, the connector is used to generate numerous different graphics for the purpose of analytics.
In order to use Pandas it will need to be imported. Pandas will also rely on a SQLAlchemy engine when executing queries, as below:
import pandas as pd from sqlalchemy import create_engine engine = create_engine("pinterest:///?InitiateOAuth=GETANDREFRESH;OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='https://localhost:33333'")
SELECT queries are provided in a call to the "read_sql()" method in pandas, alongside a relevant connection object. Pandas will execute the query on that connection, and return the results in the form of a DataFrame, which are used for a variety of purposes. In order to use pandas, it will need to be imported:
df = pd.read_sql(""" SELECT Id, Username FROM USERS;""", engine) print(df)