code: def test_plotly(compute_time_data):
      fig = dd.plot_time_series(
          compute_time_data,
          col="var",
          viz_backend="plotly",
          model="additive",
      )
      assert isinstance(fig, go.Figure)
      fig = dd.plot_time_series(
          compute_time_data,
          col=["var"],
          viz_backend="plotly",
          model="additive",
      )
      assert isinstance(fig, go.Figure)
      fig = dd.plot_time_series(
          compute_time_data,
          col="var",
          decompose=True,
          model="additive",
          viz_backend="plotly",
      )
      assert isinstance(fig, go.Figure)
  
      fig = plot_autocorrelation(
          compute_time_data,
          col="var",
          n_lags=1,
          plot_type="acf",
          fft=False,
          viz_backend="plotly",
      )
      assert isinstance(fig, go.Figure)
      fig = plot_autocorrelation(
          compute_time_data,
          col="var",
          n_lags=1,
          plot_type="pacf",
          viz_backend="plotly",
      )
      assert isinstance(fig, go.Figure)
  
file_path: data-describe/tests/test_time_series.py
imports: import matplotlib
  import pytest
  import plotly.graph_objects
  from data_describe.core.time import _pandas_compute_stationarity_test, adf_test, kpss_test, _pandas_compute_decompose_timeseries, _pandas_compute_autocorrelation, plot_autocorrelation, stationarity_test
  import data_describe
  from data_describe.compat import _is_dataframe
label_desc: Use image node_id 8 for calling a global function with example usage: test_plotly(compute_time_data) without return types