使用 Python 從 Azure Blob 下載 XLSX 文件

Question

from azure.storage.blob import BlockBlobService
block_blob_service = BlockBlobService(account_name=AZURE_ACCOUNT_NAME, account_key=AZURE_ACCOUNT_KEY)
file = block_blob_service.get_blob_to_bytes(AZURE_CONTAINER, "CS_MDMM_Global.xlsx")
file.content // the issue is at this line it give me data in some encoded form, i want to decode the data and store in panada data frame.

我正在從 blob 獲取編碼數據，但我無法弄清楚如何將數據解碼為 PANDA DATAFRAME。

Answer 1

聽起來您想通過pandas讀取存儲在Azure Blob 存儲中的xlsx blob 文件的內容以獲取pandas 數據幀。

我的 Azure Blob 存儲中存儲了一個xlsx示例文件，其內容如下圖所示。

所以我會直接通過Azure Storage SDK for Python and pandas讀取，下面第一步是安裝這些包。

pip install pandas azure-storage xlrd

這是我的示例代碼。

# Generate a url of excel blob with sas token
from azure.storage.blob.baseblobservice import BaseBlobService
from azure.storage.blob import BlobPermissions
from datetime import datetime, timedelta

account_name = '<your storage account name>'
account_key = '<your storage key>'
container_name = '<your container name>'
blob_name = '<your excel blob>'

blob_service = BaseBlobService(
    account_name=account_name,
    account_key=account_key
)

sas_token = blob_service.generate_blob_shared_access_signature(container_name, blob_name, permission=BlobPermissions.READ, expiry=datetime.utcnow() + timedelta(hours=1))
blob_url_with_sas = blob_service.make_blob_url(container_name, blob_name, sas_token=sas_token)

# pass the blob url with sas to function `read_excel`
import pandas as pd
df = pd.read_excel(blob_url_with_sas)
print(df)

結果是：

實際上，您的帖子問題與另一個 SO 線程Read in azure blob using python重復，有關更多詳細信息，請參閱我的回答。