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

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

Connecting to Zoho Projects Data

Connecting to Zoho Projects 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.

The connector uses OAuth to authenticate with Zoho Projects. CData Software has already registered an OAuth application with Zoho Project which is embedded and used to authenticate.

If you use the embedded credentials, set the InitiateOAuth connection property to "GETANDREFRESH".

If you would prefer to use your own custom OAuth app, see the Help documentation.

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

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

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

Execute SQL to Zoho Projects

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, Name FROM Portals WHERE CrmPartner = 'true'", engine)

Visualize Zoho Projects Data

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

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

Free Trial & More Information

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

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