SharePoint Python Connector

Connecting to SharePoint with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with SharePoint from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

• Configure the connection properties to SharePoint
• Query SharePoint to retrieve or update data
• Connect your SharePoint data with Python data tools.

Connecting to SharePoint in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.sharepoint as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Lists")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize SharePoint Data with pandas

The data-centric interfaces of the SharePoint Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("sharepoint///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM Lists", engine)

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

SharePoint Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the SharePoint Connector as easily as interacting with a database table.