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Use pandas to Visualize Microsoft OneDrive Data in Python

The CData Python Connector for Microsoft OneDrive enables you use pandas and other modules to analyze and visualize live Microsoft OneDrive data in Python.

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

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

Connecting to Microsoft OneDrive Data

Connecting to Microsoft OneDrive 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.

OneDrive uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the OAuth section of the Help documentation for an authentication guide.

Follow the procedure below to install the required modules and start accessing Microsoft OneDrive 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 Microsoft OneDrive Data in Python

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

engine = create_engine("onedrive:///?OAuthClientId=MyApplicationId&OAuthClientSecret=MySecretKey&OAuthCallbackURL=http://localhost:33333&InitiateOAuth=GETANDREFRESH&OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

Execute SQL to Microsoft OneDrive

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 Files WHERE Id = 'Jq74mCczmFXk1tC10GB'", engine)

Visualize Microsoft OneDrive Data

With the query results stored in a DataFrame, use the plot function to build a chart to display the Microsoft OneDrive 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 Microsoft OneDrive Python Connector to start building Python apps and scripts with connectivity to Microsoft OneDrive 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("onedrive:///?OAuthClientId=MyApplicationId&OAuthClientSecret=MySecretKey&OAuthCallbackURL=http://localhost:33333&InitiateOAuth=GETANDREFRESH&OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")
df = pandas.read_sql("SELECT Id, Name FROM Files WHERE Id = 'Jq74mCczmFXk1tC10GB'", engine)

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