code: def test_seasonal_decompose_plot(
      model, freq, two_sided, extrapolate_trend
  ):
      x = np.array(
          [
              -50,
              175,
              149,
              214,
              247,
              237,
              225,
              329,
              729,
              809,
              530,
              489,
              540,
              457,
              195,
              176,
              337,
              239,
              128,
              102,
              232,
              429,
              3,
              98,
              43,
              -141,
              -77,
              -13,
              125,
              361,
              -45,
              184,
          ]
      )
      x -= x.min() + 1
      x2 = np.r_[x[12:], x[:12]]
      x = np.c_[x, x2]
      res = seasonal_decompose(
          x,
          period=freq,
          two_sided=two_sided,
          extrapolate_trend=extrapolate_trend,
      )
      res.plot()
  
imports: from statsmodels.compat.pandas import MONTH_END, QUARTER_END, YEAR_END
  import numpy
  from numpy.testing import assert_allclose, assert_almost_equal, assert_equal, assert_raises
  import pandas
  import pytest
  from statsmodels.tsa.seasonal import seasonal_decompose
label_desc: Use image node_id 4 for calling a global function with example usage: test_seasonal_decompose_plot(model, freq, two_sided, extrapolate_trend) without return types