Load data from Azure Blob Storage into Python

Code below: from datetime import datetime, timedelta from azure.storage.blob import BlobServiceClient, generate_blob_sas, BlobSasPermissions import pandas as pd #enter credentials account_name = 'ACCOUNT NAME' account_key = 'ACCOUNT KEY' container_name = 'CONTAINER NAME' #create a client to interact with blob storage connect_str = 'DefaultEndpointsProtocol=https;AccountName=' + account_name + ';AccountKey=' + account_key + ';EndpointSuffix=core.windows.net' blob_service_client = BlobServiceClient.from_connection_string(connect_str) #use the client to connect to the container container_client = blob_service_client.get_container_client(container_name) #get a list of all blob files in the container blob_list = [] for blob_i in container_client.list_blobs(): blob_list.append(blob_i.name) df_list = [] #generate a shared access signiture for files and load them into Python for blob_i in blob_list: #generate a shared access signature for each blob file sas_i = generate_blob_sas(account_name = account_name, container_name = container_name, blob_name = blob_i, account_key=account_key, permission=BlobSasPermissions(read=True), expiry=datetime.utcnow() + timedelta(hours=1)) sas_url = 'https://' + account_name+'.blob.core.windows.net/' + container_name + '/' + blob_i + '?' + sas_i df = pd.read_csv(sas_url) df_list.append(df) df_combined = pd.concat(df_list, ignore_index=True)