CData Python Connector for Wasabi

Build 21.0.7930

From Pandas

When combined with the connector, Pandas can be used to generate data frames which contains your Wasabi data. Once created, a data frame can be passed to various other python packages.


Pandas will need to be imported before it can be used. 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("wasabi:///?AccessKey=a123;SecretKey=s123;")

Querying Data

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 data frame, which are used for a variety of purposes.

df = pd.read_sql("""
	FROM Buckets;""", engine)

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Build 21.0.7930