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Use pandas to Visualize Odoo Data in Python

The CData Python Connector for Odoo enables you use pandas and other modules to analyze and visualize live Odoo 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 Odoo, the pandas & Matplotlib modules, and the SQLAlchemy toolkit, you can build Odoo-connected Python applications and scripts for visualizing Odoo data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Odoo data, execute queries, and visualize the results.

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

Connecting to Odoo Data

Connecting to Odoo 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.

To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.

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

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

engine = create_engine("odoo:///?User=MyUser&Password=MyPassword&URL=http://MyOdooSite/&Database=MyDatabase")

Execute SQL to Odoo

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

df = pandas.read_sql("SELECT name, email FROM res_users WHERE id = '1'", engine)

Visualize Odoo Data

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

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

Free Trial & More Information

Download a free, 30-day trial of the Odoo Python Connector to start building Python apps and scripts with connectivity to Odoo 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("odoo:///?User=MyUser&Password=MyPassword&URL=http://MyOdooSite/&Database=MyDatabase")
df = pandas.read_sql("SELECT name, email FROM res_users WHERE id = '1'", engine)

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