title: Reading multiple json files from Azure storage into Python dataframe
body: <p>I m using below code to read json file from Azure storage into a dataframe in Python.</p>
  <pre><code>from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient
  import json
  import json
  import pandas as pd
  from pandas import DataFrame
  from datetime import datetime
  import uuid
  
  filename = &quot;raw/filename.json&quot;
  
  container_name=&quot;test&quot;
  constr = &quot;&quot;
  
  blob_service_client = BlobServiceClient.from_connection_string(constr)
  container_client = blob_service_client.get_container_client(container_name)
  blob_client = container_client.get_blob_client(filename)
  streamdownloader = blob_client.download_blob()
  
  fileReader = json.loads(streamdownloader.readall())
  df = pd.DataFrame(fileReader)
  rslt_df = df[df['ID'] == 'f2a8141f-f1c1-42c3-bb57-910052b78110']
  rslt_df.head()
  </code></pre>
  <p>This works fine. But I want to read multiple files into a dataframe. Is there any way we can pass a pattern in the file name to read multiple files from Azure storage like below to read the files recursively.</p>
  <pre><code>filename = &quot;raw/filename*.json&quot;
  </code></pre>
  <p>Thank you</p>