Revert "added test for series construction via a period"

This reverts commit 0f48b5b.

Author: justinessert

pandas/tests/series/test_constructors.py

@@ -8,23 +8,16 @@
 from pandas._libs import iNaT, lib
 
 from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64tz_dtype
-from pandas.core.dtypes.dtypes import (
-    CategoricalDtype,
-    DatetimeTZDtype,
-    IntervalDtype,
-    PeriodDtype,
-)
+from pandas.core.dtypes.dtypes import CategoricalDtype
 
 import pandas as pd
 from pandas import (
     Categorical,
     DataFrame,
     Index,
-    Interval,
     IntervalIndex,
     MultiIndex,
     NaT,
-    Period,
     Series,
     Timestamp,
     date_range,
@@ -1082,26 +1075,6 @@ def test_constructor_dict_order(self):
         expected = Series([1, 0, 2], index=list("bac"))
         tm.assert_series_equal(result, expected)
 
-    @pytest.mark.parametrize(
-        "data,dtype",
-        [
-            (Period("2020-01"), PeriodDtype("M")),
-            (Interval(left=0, right=5), IntervalDtype("int64")),
-            (
-                Timestamp("2011-01-01", tz="US/Eastern"),
-                DatetimeTZDtype(tz="US/Eastern"),
-            ),
-        ],
-    )
-    def test_constructor_dict_extension(self, data, dtype):
-        d = {"a": data}
-        result = Series(d, index=["a"])
-        expected = Series(data, index=["a"], dtype=dtype)
-
-        assert result.dtype == dtype
-
-        tm.assert_series_equal(result, expected)
-
     @pytest.mark.parametrize("value", [2, np.nan, None, float("nan")])
     def test_constructor_dict_nan_key(self, value):
         # GH 18480
@@ -1491,13 +1464,3 @@ def test_constructor_sparse_datetime64(self, values):
         arr = pd.arrays.SparseArray(values, dtype=dtype)
         expected = pd.Series(arr)
         tm.assert_series_equal(result, expected)
-
-    def test_construction_from_ordered_collection(self):
-        # https://github.com/pandas-dev/pandas/issues/36044
-        result = Series({"a": 1, "b": 2}.keys())
-        expected = Series(["a", "b"])
-        tm.assert_series_equal(result, expected)
-
-        result = Series({"a": 1, "b": 2}.values())
-        expected = Series([1, 2])
-        tm.assert_series_equal(result, expected)