How to Visualize Claude Compliance Data in Python with pandas

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for Claude Compliance, the pandas & Matplotlib modules, and the SQLAlchemy toolkit, you can build Claude Compliance-connected Python applications and scripts for visualizing Claude Compliance data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Claude Compliance data, execute queries, and visualize the results.

With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Claude Compliance data in Python. When you issue complex SQL queries from Claude Compliance, the driver pushes supported SQL operations, like filters and aggregations, directly to Claude Compliance and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Claude Compliance Data

Connecting to Claude Compliance data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

The driver connects to Claude Compliance using a Compliance Access Key, the only supported authentication method. Set the following connection property:

• APIKey: The Compliance Access Key you created.

Creating a Compliance Access Key

1. Enable the Compliance API for your organization.
2. Sign in to claude.ai as a primary owner or organization owner and open Organization settings > API > Keys.
3. Select Create Key and assign only the scopes your integration needs:
   • read:compliance_activities for Activities and the typed activity views.
   • read:compliance_org_data for organizations, roles, groups, and settings.
   • read:compliance_user_data for users, chats, files, projects, and downloads.
   • delete:compliance_user_data for the explicit Delete stored procedures.
4. Create the key and copy it when it appears. The key starts with sk-ant-api01- and is shown only once.

Optionally, set OrganizationUUID to limit organization-scoped views (such as OrganizationUsers and ComplianceRoles) to a single linked organization. If it is left empty, those views default to the first available organization and do not include data from all linked organizations.

Follow the procedure below to install the required modules and start accessing Claude Compliance through Python objects.

Install Required Modules

Use the pip utility to install the pandas & Matplotlib modules and the SQLAlchemy toolkit:

pip install pandas
pip install matplotlib
pip install sqlalchemy

Be sure to import the module with the following:

import pandas
import matplotlib.pyplot as plt
from sqlalchemy import create_engine

Visualize Claude Compliance Data in Python

You can now connect with a connection string. Use the create_engine function to create an Engine for working with Claude Compliance data.

engine = create_engine("claudecompliance:///?APIKey=your_compliance_access_key")

Execute SQL to Claude Compliance

Use the read_sql function from pandas to execute any SQL statement and store the resultset in a DataFrame.

df = pandas.read_sql("SELECT Id, Name FROM Projects WHERE OrganizationUuid = 'abcdef01-2345-6789-abcd-ef0123456789'", engine)

Visualize Claude Compliance Data

With the query results stored in a DataFrame, use the plot function to build a chart to display the Claude Compliance data. The show method displays the chart in a new window.

df.plot(kind="bar", x="Id", y="Name")
plt.show()

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for Claude Compliance to start building Python apps and scripts with connectivity to Claude Compliance data. Reach out to our Support Team if you have any questions.

Full Source Code

import pandas
import matplotlib.pyplot as plt
from sqlalchemy import create_engin

engine = create_engine("claudecompliance:///?APIKey=your_compliance_access_key")
df = pandas.read_sql("SELECT Id, Name FROM Projects WHERE OrganizationUuid = 'abcdef01-2345-6789-abcd-ef0123456789'", engine)

df.plot(kind="bar", x="Id", y="Name")
plt.show()