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

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

Connecting to IBM Informix Data

Connecting to IBM Informix 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.

Set the following properties to connect to IBM Informix

• Server: Set this to the name of the server running IBM Informix.
• Port: Set this to the port the IBM Informix server is listening on.
• Database: Set this to the name of the IBM Informix database.
• User: Set this to the username of a user allowed to access the database.
• Password: Set this to the password of a user allowed to access the database.

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

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

engine = create_engine("informix:///?Server=10.0.1.2&Port=50000&User=admin&Password=admin&Database=test")

Execute SQL to IBM Informix

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, Price FROM Books WHERE Category = 'US'", engine)

Visualize IBM Informix Data

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

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

👁 IBM Informix data in a Python plot (Salesforce is shown).

Free Trial & More Information

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

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Full Source Code

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

engine = create_engine("informix:///?Server=10.0.1.2&Port=50000&User=admin&Password=admin&Database=test")
df = pandas.read_sql("SELECT Id, Price FROM Books WHERE Category = 'US'", engine)

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