CData Python Connector for GraphQL

Build 23.0.8839

From Pandas

When combined with the connector, Pandas can be used to generate data frames that contain your GraphQL data. Once created, a data frame can be passed to various other Python packages.


Pandas relies on an SQLAlchemy engine to execute queries. Before you can use Pandas you must import it:
import pandas as pd
from sqlalchemy import create_engine
engine = create_engine("graphql:///?AuthScheme=OAuth;OAuthVersion=2.0;CallbackURL=http://localhost:33333;OauthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;OAuthAccessTokenURL=;")

Querying Data

In Pandas, SELECT queries are provided in a call to the read_sql() method, alongside a relevant connection object. Pandas executes the query on that connection, and returns the results in the form of a data frame, which can be used for a variety of purposes.
df = pd.read_sql("""
	FROM Users;""", engine)

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Build 23.0.8839