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Use pandas to Visualize SAP Business One DI Data in Python

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

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

Connecting to SAP Business One DI Data

Connecting to SAP Business One DI 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 to SAP Business One DI data, specify the following connection properties:

  • DBServerType: The type of server being connected to.
  • Server: The name or IP address of the Business One DI server to connect to.
  • CompanyDB: The company to connect to.
  • User: The username used when connecting to the LicenseServer.
  • Password: The password used when connecting to the LicenseServer.
  • LicenseServer (optional): Set this if your License Server is different from the Server.
  • UseTrusted (optional): Set to TRUE to connect using Windows credentials.

Follow the procedure below to install the required modules and start accessing SAP Business One DI 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 SAP Business One DI Data in Python

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

engine = create_engine("sapbusinessonedi:///?Server=ServerName&DBServerType=MSSQL_2016&CompanyDB=SBODemoCA&User=manager&Password=manager")

Execute SQL to SAP Business One DI

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

df = pandas.read_sql("SELECT AcctCode, AcctName FROM OACT WHERE AcctName = 'account_name'", engine)

Visualize SAP Business One DI Data

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

df.plot(kind="bar", x="AcctCode", y="AcctName")
plt.show()

Free Trial & More Information

Download a free, 30-day trial of the SAP Business One DI Python Connector to start building Python apps and scripts with connectivity to SAP Business One DI 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("sapbusinessonedi:///?Server=ServerName&DBServerType=MSSQL_2016&CompanyDB=SBODemoCA&User=manager&Password=manager")
df = pandas.read_sql("SELECT AcctCode, AcctName FROM OACT WHERE AcctName = 'account_name'", engine)

df.plot(kind="bar", x="AcctCode", y="AcctName")
plt.show()