class_docstr: Module level tests for all sktime forecasters.
class_docstr_tok: ["Module","level","tests","for","all","sktime","forecasters","."]
docstr: Test that fit/predict preserves name attribute and type of pd.Series.
docstr_tok: ["Test","that","fit\/predict","preserves","name","attribute","and","type","of","pd.Series","."]
code: def test_predict_series_name_preserved(self, estimator_instance):
      """Test that fit/predict preserves name attribute and type of pd.Series."""
      # skip this test if estimator needs multivariate data
      # because then it does not take pd.Series at all
      if estimator_instance.get_tag("scitype:y") == "multivariate":
          return None
  
      y_train = _make_series(n_timepoints=15)
      y_train.name = "foo"
  
      estimator_instance.fit(y_train, fh=[1, 2, 3])
      y_pred = estimator_instance.predict()
  
      _assert_correct_columns(y_pred, y_train)
  
imports: import numpy
  import pandas
  import pytest
  from sktime.datatypes import check_is_mtype
  from sktime.datatypes._utilities import get_cutoff
  from sktime.exceptions import NotFittedError
  from sktime.forecasting.base._delegate import _DelegatedForecaster
  from sktime.forecasting.base._fh import ForecastingHorizon
  from sktime.forecasting.tests._config import TEST_ALPHAS, TEST_FHS, TEST_OOS_FHS, TEST_STEP_LENGTHS_INT, TEST_WINDOW_LENGTHS_INT, VALID_INDEX_FH_COMBINATIONS
  from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
  from sktime.split import ExpandingWindowSplitter, SlidingWindowSplitter, temporal_train_test_split
  from sktime.tests.test_all_estimators import BaseFixtureGenerator, QuickTester
  from sktime.utils._testing.forecasting import _assert_correct_columns, _assert_correct_pred_time_index, _get_expected_index_for_update_predict, _get_n_columns, _make_fh, make_forecasting_problem
  from sktime.utils._testing.series import _make_series
  from sktime.utils.validation.forecasting import check_fh
label_desc: Use image node_id 9 for calling the TestAllForecasters obj's underlying member method code with example usage: obj.test_predict_series_name_preserved(estimator_instance) and returns: None