code: def _test_fetcher_bad_data(self):
      self.responses.add(
          self.responses.GET,
          "https://fake.urls.com/fetcher_nflx_data.csv",
          body=NFLX_DATA,
          content_type="text/csv",
      )
  
      sim_params = factory.create_simulation_parameters(
          start=pd.Timestamp("2013-06-12", tz="UTC"),
          end=pd.Timestamp("2013-06-14", tz="UTC"),
          data_frequency="minute",
      )
  
      results = self.run_algo(
          """
  from catalyst.api import fetch_csv, symbol
  import numpy as np
  
  def initialize(context):
      fetch_csv('https://fake.urls.com/fetcher_nflx_data.csv',
                 date_column = 'Settlement Date',
                 date_format = '%m/%d/%y')
      context.nflx = symbol('NFLX')
      context.aapl = symbol('AAPL')
  
  def handle_data(context, data):
      assert np.isnan(data.current(context.nflx, 'invalid_column'))
      assert np.isnan(data.current(context.aapl, 'invalid_column'))
      assert np.isnan(data.current(context.aapl, 'dtc'))
  """,
          sim_params=sim_params,
          data_frequency="minute",
      )
  
      self.assertEqual(3, len(results))
  
imports: from nose_parameterized import parameterized
  import pandas
  import numpy
  from mock import patch
  from catalyst import TradingAlgorithm
  from catalyst.errors import UnsupportedOrderParameters
  from catalyst.sources.requests_csv import mask_requests_args
  from catalyst.utils import factory
  from catalyst.testing import FetcherDataPortal
  from catalyst.testing.fixtures import WithResponses, WithSimParams, CatalystTestCase
  from .resources.fetcher_inputs.fetcher_test_data import AAPL_CSV_DATA, AAPL_IBM_CSV_DATA, AAPL_MINUTE_CSV_DATA, CPIAUCSL_DATA, FETCHER_ALTERNATE_COLUMN_HEADER, FETCHER_UNIVERSE_DATA, FETCHER_UNIVERSE_DATA_TICKER_COLUMN, MULTI_SIGNAL_CSV_DATA, NON_ASSET_FETCHER_UNIVERSE_DATA, PALLADIUM_DATA, NFLX_DATA
label_desc: Use image node_id 15 for calling the FetcherTestCase obj's underlying member method code with example usage: obj._test_fetcher_bad_data() without return types