code: def test_constructor_fromarraylike(self):
      idx = period_range("2007-01", periods=20, freq="M")
  
      # values is an array of Period, thus can retrieve freq
      tm.assert_index_equal(PeriodIndex(idx.values), idx)
      tm.assert_index_equal(PeriodIndex(list(idx.values)), idx)
  
      msg = "freq not specified and cannot be inferred"
      with pytest.raises(ValueError, match=msg):
          PeriodIndex(idx.asi8)
      with pytest.raises(ValueError, match=msg):
          PeriodIndex(list(idx.asi8))
  
      msg = "'Period' object is not iterable"
      with pytest.raises(TypeError, match=msg):
          PeriodIndex(data=Period("2007", freq="Y"))
  
      result = PeriodIndex(iter(idx))
      tm.assert_index_equal(result, idx)
  
      result = PeriodIndex(idx)
      tm.assert_index_equal(result, idx)
  
      result = PeriodIndex(idx, freq="M")
      tm.assert_index_equal(result, idx)
  
      result = PeriodIndex(idx, freq=offsets.MonthEnd())
      tm.assert_index_equal(result, idx)
      assert result.freq == "ME"
  
      result = PeriodIndex(idx, freq="2M")
      tm.assert_index_equal(result, idx.asfreq("2M"))
      assert result.freq == "2ME"
  
      result = PeriodIndex(idx, freq=offsets.MonthEnd(2))
      tm.assert_index_equal(result, idx.asfreq("2M"))
      assert result.freq == "2ME"
  
      result = PeriodIndex(idx, freq="D")
      exp = idx.asfreq("D", "e")
      tm.assert_index_equal(result, exp)
  
imports: import numpy
  import pytest
  from pandas._libs.tslibs.period import IncompatibleFrequency
  from pandas.core.dtypes.dtypes import PeriodDtype
  from pandas import Index, NaT, Period, PeriodIndex, Series, date_range, offsets, period_range
  import pandas._testing
  from pandas.core.arrays import PeriodArray
label_desc: Use image node_id 13 for calling the TestPeriodIndex obj's underlying member method code with example usage: obj.test_constructor_fromarraylike() without return types