import pyarrow.parquet as pq
from azure.storage.blob import BlobServiceClient


blob_service_client = BlobServiceClient.from_connection_string("<Azure Blob Storage Connection String>")
container_client = blob_service_client.get_container_client("export")

# List blobs
blobs_list = container_client.list_blobs()
for blob in blobs_list:
    print(blob.name + '\n')

# Download single blob
blob_client = container_client.get_blob_client("<Path to particular file>")
with open("sample.parquet", "wb") as f:
    download_stream = blob_client.download_blob()
    f.write(download_stream.readall())

# Display sample
sample = pq.read_table("sample.parquet")
print(sample.to_pandas())