How to Visualize Microsoft Ads 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 Microsoft Ads, the pandas & Matplotlib modules, and the SQLAlchemy toolkit, you can build Microsoft Ads-connected Python applications and scripts for visualizing Microsoft Ads data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Microsoft Ads 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 Ads data in Python. When you issue complex SQL queries from Microsoft Ads, the driver pushes supported SQL operations, like filters and aggregations, directly to Microsoft Ads and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Microsoft Ads Data

Connecting to Microsoft Ads 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 Microsoft Ads APIs use the OAuth 2 standard. To authenticate, you will need valid Microsoft Ads OAuth credentials and obtain a developer token. See the Getting Started section in the Microsoft Ads data provider help documentation for an authentication guide.

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

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

engine = create_engine("microsoftads:///? OAuthClientId=MyOAuthClientId& OAuthClientSecret=MyOAuthClientSecret& CallbackURL=http://localhost:portNumber& AccountId=442311& CustomerId=5521444& DeveloperToken=11112332233&InitiateOAuth=GETANDREFRESH")

Execute SQL to Microsoft Ads

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 AdGroups WHERE CampaignId = '234505536'", engine)

Visualize Microsoft Ads Data

With the query results stored in a DataFrame, use the plot function to build a chart to display the Microsoft Ads 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 Microsoft Ads to start building Python apps and scripts with connectivity to Microsoft Ads 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("microsoftads:///? OAuthClientId=MyOAuthClientId& OAuthClientSecret=MyOAuthClientSecret& CallbackURL=http://localhost:portNumber& AccountId=442311& CustomerId=5521444& DeveloperToken=11112332233&InitiateOAuth=GETANDREFRESH")
df = pandas.read_sql("SELECT Id, Name FROM AdGroups WHERE CampaignId = '234505536'", engine)

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