How to Visualize Zoho Recruit 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 Zoho Recruit-connected Python applications and scripts for visualizing Zoho Recruit data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Zoho Recruit 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 Recruit data in Python. When you issue complex SQL queries from Zoho Recruit, the driver pushes supported SQL operations, like filters and aggregations, directly to Zoho Recruit and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to Zoho Recruit Data
Connecting to Zoho Recruit 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 authenticate to ZohoRecruit, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.
Using OAuth Authentication
First, you will need to register an OAuth application with ZohoRecruit. To do so, go to the Zoho Developer Console, add a new Client (Server-based application) and set a valid OAuth redirect URL. Your OAuth application will be assigned a client id and a client secret. Additionally, you will need to set the relevant Domain (.com, .eu, .in, .com.cn, or .jp), which defaults to .com.
After setting the following connection properties, you are ready to connect:
- AuthScheme: Set this to OAuth.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
- OAuthClientId: Set this to the client_id that is specified in your app settings.
- OAuthClientSecret: Set this to the client_secret that is specified in your app settings.
- CallbackURL: Set this to the Redirect URI that is specified in your app settings.
- Domain: Set this in ProfileSettings to your ZohoRecruit account domain (e.g. .com, .eu, .in, .com.cn, .jp).
Example connection string:
Profile=C:\profiles\ZohoRecruit.apip;ProfileSettings='Domain=.com';AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
Follow the procedure below to install the required modules and start accessing Zoho Recruit 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 Recruit Data in Python
You can now connect with a connection string. Use the create_engine function to create an Engine for working with Zoho Recruit data.
engine = create_engine("api:///?Profile=C:\profiles\ZohoRecruit.apip&ProfileSettings='Domain=.com'&AuthScheme=OAuth&InitiateOAuth=GETANDREFRESH&OAuthClientId=your_client_id&OAuthClientSecret=your_client_secret&CallbackUrl=your_callback_url")
Execute SQL to Zoho Recruit
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 Attachments WHERE Module = 'Candidates'", engine)
Visualize Zoho Recruit Data
With the query results stored in a DataFrame, use the plot function to build a chart to display the Zoho Recruit 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 Zoho Recruit 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\ZohoRecruit.apip&ProfileSettings='Domain=.com'&AuthScheme=OAuth&InitiateOAuth=GETANDREFRESH&OAuthClientId=your_client_id&OAuthClientSecret=your_client_secret&CallbackUrl=your_callback_url")
df = pandas.read_sql("SELECT , FROM Attachments WHERE Module = 'Candidates'", engine)
df.plot(kind="bar", x="", y="")
plt.show()