Скачать или смотреть 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)