code: def load_pandas_df(
      azure_storage_account_name="azureopendatastorage",
      azure_storage_sas_token="",
      container_name="covid19temp",
      metadata_filename="metadata.csv",
  ):
      """Loads the Azure Open Research COVID-19 dataset as a pd.DataFrame.
  
      The Azure COVID-19 Open Research Dataset may be found at https://azure.microsoft.com/en-us/services/open-datasets/catalog/covid-19-open-research/
  
      Args:
          azure_storage_account_name (str): Azure storage account name.
          azure_storage_sas_token (str): Azure storage SAS token.
          container_name (str): Azure storage container name.
          metadata_filename (str): Name of file containing top-level metadata for the dataset.
  
      Returns:
          metadata (pandas.DataFrame): Metadata dataframe.
      """
  
      # Load into dataframe
      uri = "https://{acct}.blob.core.windows.net/{container}/{filename}{sas}".format(
          acct=azure_storage_account_name,
          container=container_name,
          filename=metadata_filename,
          sas=azure_storage_sas_token,
      )
      return pd.read_csv(uri)
  
file_path: recommenders/recommenders/datasets/covid_utils.py
imports: import numpy
  import pandas
  import requests
label_desc: Use image node_id 1 for calling a global function with example usage: load_pandas_df(azure_storage_account_name, azure_storage_sas_token, container_name, metadata_filename) and returns: pd