How to Visualize Jodoo 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 Jodoo-connected Python applications and scripts for visualizing Jodoo data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Jodoo data, execute queries, and visualize the results.

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

Connecting to Jodoo Data

Connecting to Jodoo 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.

Start by setting the Profile connection property to the location of the Jodoo Profile on disk (e.g. C:\profiles\Jodoo.apip). Next, set the ProfileSettings connection property to the connection string for Jodoo (see below).

Jodoo API Profile Settings

Obtain your API Key from the API Key page of the Jodoo Open Platform under your account settings.

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

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

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

Execute SQL to Jodoo

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

df = pandas.read_sql("SELECT AppId, EntryId FROM Accounts WHERE Priority = 'High'", engine)

Visualize Jodoo Data

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

df.plot(kind="bar", x="AppId", y="EntryId")
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 Jodoo 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\Jodoo.apip&ProfileSettings='APIKey=your_api_key'")
df = pandas.read_sql("SELECT AppId, EntryId FROM Accounts WHERE Priority = 'High'", engine)

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