@hariprasad T :
In Azure Databricks, which is a cloud-based service for Apache Spark and big data processing, the notebook environment does not expose IPython directly in the browser DOM global scope as it is done in standard Jupyter notebooks. However, you can achieve similar functionality by using the dbutils.notebook.run function, which allows you to call a Python function from JavaScript code in a Databricks notebook.
Here's an example of how you can use dbutils.notebook.run to call a Python function from JavaScript code in a Databricks notebook:
- Define a Python function in a Databricks notebook cell:
def my_python_function(arg1, arg2):
# Your Python code here
result = arg1 + arg2
return result
2) In another cell, use dbutils.notebook.runto call the Python function from JavaScript code:
// JavaScript code
var pythonCode = `
def my_python_function(arg1, arg2):
# Your Python code here
result = arg1 + arg2
return result
`
// Call the Python function with arguments and get the result
var result = dbutils.notebook.run(
'my_notebook_path',
0,
{
'arg1': 'Hello',
'arg2': 'World',
'pythonCode': pythonCode
}
)
// Display the result in the notebook
displayHTML(result);
In this example, my_notebook_path is the path to the notebook where the Python function is defined,
arg1 and arg2 are the arguments passed to the Python function, and pythonCode is the Python code for the function itself. The dbutils.notebook.run function takes the notebook path, cell index, and a dictionary of parameters as arguments, and returns the result of executing the Python function. You can then display the result in the notebook using displayHTMLfunction or use it for further processing in your JavaScript code. Note that the pythonCode parameter in dbutils.notebook.run should be a string representation of the Python code. Make sure to define your Python function and call dbutils.notebook.run in separate notebook cells as they are executed in separate contexts. Also, be mindful of passing any sensitive data as arguments to the Python function and handle it securely in your code.
