How to Visualize ZeroBounce 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 API Driver for Python, the pandas & Matplotlib modules, and the SQLAlchemy toolkit, you can build ZeroBounce-connected Python applications and scripts for visualizing ZeroBounce data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to ZeroBounce data, execute queries, and visualize the results.

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

Connecting to ZeroBounce Data

Connecting to ZeroBounce 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.

Using API Key Authentication

ZeroBounce uses API key authentication. To obtain an API key:

1. Log in to your ZeroBounce account at https://app.zerobounce.net
2. Navigate to the API tab in your account dashboard
3. Copy the API key displayed on the page

After obtaining your API key, set the following connection properties:

• AuthScheme: Set this to APIKey.

Set the following in the ProfileSettings connection property:

• APIKey: Set this to your ZeroBounce API key.

Example Connection String

Profile=C:\profiles\ZeroBounce.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";

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

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

engine = create_engine("api:///?Profile=C:\profiles\ZeroBounce.apip&AuthScheme=APIKey&ProfileSettings="APIKey=your_api_key"")

Execute SQL to ZeroBounce

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

df = pandas.read_sql("SELECT ,  FROM Credits WHERE  = ''", engine)

Visualize ZeroBounce Data

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

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

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps and scripts with connectivity to ZeroBounce 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("api:///?Profile=C:\profiles\ZeroBounce.apip&AuthScheme=APIKey&ProfileSettings="APIKey=your_api_key"")
df = pandas.read_sql("SELECT ,  FROM Credits WHERE  = ''", engine)

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