Demonstrates the use of the Azure Python SDK to write files to Azure Storage from AzureML

azureml_sdk.py

STORAGE_ACCOUNT="ENTER YOUR STORAGE ACCOUNT NAME HERE"
STORAGE_KEY="ENTER YOUR STORAGE ACCOUNT KEY HERE"
CONTAINER_NAME="ENTER THE CONTAINER NAME WHERE YOU WANT THE OUTPUT BLOB TO GO"
BLOB_NAME="ENTER THE NAME OF THE OUTPUT BLOB HERE"

def azureml_main(dataframe1 = None, dataframe2 = None):
    from azure.storage.blob.blobservice import BlobService
    
    dataframe1.to_csv("output.csv", index=False)
    
    client = BlobService(STORAGE_ACCOUNT, \
        STORAGE_KEY, \
        protocol="http")
                
    client.put_block_blob_from_path(
            CONTAINER_NAME,\
            BLOB_NAME,\
            "output.csv")
            
    return dataframe1,