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

Connecting to Snapchat Ads Data

Connecting to Snapchat 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.

You will need to create an OAuth application to connect to Snapchat Ads. See the online Help documentation for an authentication guide.

Additionally, you can optionally set AccountId to provide a default Account ID (meaning it won't need to be manually provided in the WHERE clause). If the AccountId is not specified, the first account in the Accounts view is used.

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

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

engine = create_engine("snapchatads:///?InitiateOAuth=GETANDREFRESH&OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")

Execute SQL to Snapchat 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 AccountId, Name FROM Campaigns WHERE Id = '123'", engine)

Visualize Snapchat Ads Data

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

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

Free Trial & More Information

Download a free, 30-day trial of the CData Python Connector for Snapchat Ads to start building Python apps and scripts with connectivity to Snapchat 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("snapchatads:///?InitiateOAuth=GETANDREFRESH&OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")
df = pandas.read_sql("SELECT AccountId, Name FROM Campaigns WHERE Id = '123'", engine)

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