code: import pandas as pd
  
  import featuretools as ft
  
  
  def load_weather(nrows=None,
                   return_single_table=False):
      '''
      Load the Australian daily-min-temperatures weather dataset.
  
      Args:
  
          nrows (int): Passed to nrows in ``pd.read_csv``.
          return_single_table (bool): Exit the function early and return a dataframe.
  
      '''
      filename = "daily-min-temperatures.csv"
      print('Downloading data ...')
      url = "https://api.featurelabs.com/datasets/{}?library=featuretools&version={}".format(filename, ft.__version__)
      data = pd.read_csv(url, index_col=None, nrows=nrows)
      if return_single_table:
          return data
      es = make_es(data)
      return es
  
  
  def make_es(data):
      es = ft.EntitySet('Weather Data')
  
      es.add_dataframe(data,
                       dataframe_name='temperatures',
                       index='id',
                       make_index=True,
                       time_index='Date')
      return es
  
apis: pandas.read_csv