如何在不創建臨時文件的情況下使用 Pandas 從 Azure Blob 讀取 .xlsx 格式文件

Question

下面是我的代碼。

from azure.storage.blob import BlobClient, BlobServiceClient
import pandas as pd
from io import StringIO
account_url = "XXXXXX"
containerName      = "XXXXXX"
blob_name = 'Abc.xlsx'
storageKey         = "XXXXX"
connection_string = "XXXX"
blob_service_client = BlobServiceClient.from_connection_string(connection_string)

blob_client = blob_service_client.get_blob_client(container=containerName, blob=blob_name)

blob = blob_client.download_blob().content_as_text(encoding=None)
engine = 'xlrd'
df = pd.read_excel(io = blob, engine = engine)

當我運行它時，代碼拋出異常：

raise ValueError('Must explicitly set engine if not passing in'

ValueError: Must explicitly set engine if not passing in buffer or path for io.

任何幫助，將不勝感激。

Answer 1

下面的代碼使用內存中的流下載而不創建臨時文件，pandas 從流中讀取 excel。

from azure.storage.blob import BlobServiceClient
import pandas as pd
from io import BytesIO

containerName = "XXXX"
blob_name = 'Abc.xlsx'
connection_string = "XXXX"

blob_service_client = BlobServiceClient.from_connection_string(connection_string)
blob_client = blob_service_client.get_blob_client(containerName, blob_name)
with BytesIO() as input_stream:
    blob = blob_client.download_blob().download_to_stream(input_stream)
    df = pd.read_excel(io=input_stream)
    print(df)

Answer 2

data=pd.read_excel("C:\\ex1.xlsx") 或 data=pd.read_excel(r"C:\\ex1.xlsx") #如果你使用Windows，有時需要