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

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

Connecting to Avaza Data

Connecting to Avaza 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 Avaza Profile on disk (e.g. C:\profiles\Avaza.apip). Next, set the ProfileSettings connection property to the connection string for Avaza (see below).

Avaza API Profile Settings

Register an OAuth application in Avaza under Settings > Manage Developer Apps > OAuth 2 Apps > Add OAuth App to obtain your client ID and secret credentials.

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

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

engine = create_engine("api:///?Profile=C:\profiles\Avaza.apip&Authscheme=OAuth&OAuthClientId=your_client_id&OAuthClientSecret=your_client_secret&CallbackUrl=your_callback_url")

Execute SQL to Avaza

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, CompanyName FROM Account WHERE DefaultCurrencyCode = 'USD'", engine)

Visualize Avaza Data

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

df.plot(kind="bar", x="Id", y="CompanyName")
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 Avaza 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\Avaza.apip&Authscheme=OAuth&OAuthClientId=your_client_id&OAuthClientSecret=your_client_secret&CallbackUrl=your_callback_url")
df = pandas.read_sql("SELECT Id, CompanyName FROM Account WHERE DefaultCurrencyCode = 'USD'", engine)

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