How to use 'iris.csv download' in Python

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def iris(path):
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  """Load the Iris Plants data set [@fisher1936use].
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  It contains 150 examples of iris plants, each with 4 real-valued
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  attributes and its class.
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  Args:
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    path: str.
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      Path to directory which either stores file or otherwise file will
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      be downloaded and extracted there. Filename is `iris.data`.
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  Returns:
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    Tuple of np.darray `x_train`, np.ndarray `y_train`, and dictionary
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    `metadata` of column headers (feature names).
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  """
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  path = os.path.expanduser(path)
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  filename = 'iris.data'
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  if not os.path.exists(os.path.join(path, filename)):
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    url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/' \
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          'iris/iris.data'
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    maybe_download_and_extract(path, url)
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  with open(os.path.join(path, filename)) as f:
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    iterator = csv.reader(f)
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    x_train = []
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    y_train = []
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    for row in iterator:
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      if row:
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        x_train.append(row[:-1])
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        y_train.append(row[-1])
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  x_train = np.array(x_train, dtype=np.float)
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  y_train = np.array(y_train)
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  columns = ['sepal length (cm)', 'sepal width (cm)',
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             'petal length (cm)', 'petal width (cm)']
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  metadata = {'columns': columns}
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  return x_train, y_train, metadata