Fixed the code for BlobServiceClient

Author: Padmalathas

articles/batch/tutorial-run-python-batch-azure-data-factory.md

@@ -3,7 +3,8 @@ title: 'Tutorial: Run a Batch job through Azure Data Factory'
 description: Learn how to use Batch Explorer, Azure Storage Explorer, and a Python script to run a Batch workload through an Azure Data Factory pipeline.
 ms.devlang: python
 ms.topic: tutorial
-ms.date: 03/01/2024
+ms.date: 12/23/2024
+ai-usage: ai-assisted
 ms.custom: mvc, devx-track-python
 ---
 
@@ -82,8 +83,10 @@ Paste the connection string into the following script, replacing the `<storage-a
 
 ``` python
 # Load libraries
-from azure.storage.blob import BlobClient
+# from azure.storage.blob import BlobClient
+from azure.storage.blob import BlobServiceClient
 import pandas as pd
+import io
 
 # Define parameters
 connectionString = "<storage-account-connection-string>"
@@ -93,8 +96,16 @@ outputBlobName	= "iris_setosa.csv"
 # Establish connection with the blob storage account
 blob = BlobClient.from_connection_string(conn_str=connectionString, container_name=containerName, blob_name=outputBlobName)
 
+# Initialize the BlobServiceClient (This initializes a connection to the Azure Blob Storage, downloads the content of the 'iris.csv' file, and then loads it into a Pandas DataFrame for further processing.)
+blob_service_client = BlobServiceClient.from_connection_string(conn_str=connectionString)
+blob_client = blob_service_client.get_blob_client(container_name=containerName, blob_name=outputBlobName)
+
+# Download the blob content
+blob_data = blob_client.download_blob().readall()
+
 # Load iris dataset from the task node
-df = pd.read_csv("iris.csv")
+# df = pd.read_csv("iris.csv")
+df = pd.read_csv(io.BytesIO(blob_data))
 
 # Take a subset of the records
 df = df[df['Species'] == "setosa"]
@@ -106,6 +117,8 @@ with open(outputBlobName, "rb") as data:
     blob.upload_blob(data, overwrite=True)
 ```
 
+For more information on working with Azure Blob Storage, refer to the [Azure Blob Storage documentation](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction). 
+
 Run the script locally to test and validate functionality. 
 
 ``` bash