CLN: remove unnecessary scipy attr checks (pandas-dev#30450)

Author: jbrockmendel

pandas/tests/frame/test_missing.py

@@ -12,15 +12,6 @@
 import pandas.util.testing as tm
 
 
-def _skip_if_no_pchip():
-    try:
-        from scipy.interpolate import pchip_interpolate  # noqa
-    except ImportError:
-        import pytest
-
-        pytest.skip("scipy.interpolate.pchip missing")
-
-
 class TestDataFrameMissingData:
     def test_dropEmptyRows(self, float_frame):
         N = len(float_frame.index)
@@ -837,8 +828,6 @@ def test_interp_alt_scipy(self):
         expectedk["A"] = expected["A"]
         tm.assert_frame_equal(result, expectedk)
 
-        _skip_if_no_pchip()
-
         result = df.interpolate(method="pchip")
         expected.loc[2, "A"] = 3
         expected.loc[5, "A"] = 6.0

pandas/tests/series/test_missing.py

@@ -24,24 +24,6 @@
 import pandas.util.testing as tm
 
 
-def _skip_if_no_pchip():
-    try:
-        from scipy.interpolate import pchip_interpolate  # noqa
-    except ImportError:
-        import pytest
-
-        pytest.skip("scipy.interpolate.pchip missing")
-
-
-def _skip_if_no_akima():
-    try:
-        from scipy.interpolate import Akima1DInterpolator  # noqa
-    except ImportError:
-        import pytest
-
-        pytest.skip("scipy.interpolate.Akima1DInterpolator missing")
-
-
 def _simple_ts(start, end, freq="D"):
     rng = date_range(start, end, freq=freq)
     return Series(np.random.randn(len(rng)), index=rng)
@@ -1099,7 +1081,6 @@ def test_interpolate_time_raises_for_non_timeseries(self):
 
     @td.skip_if_no_scipy
     def test_interpolate_pchip(self):
-        _skip_if_no_pchip()
 
         ser = Series(np.sort(np.random.uniform(size=100)))
 
@@ -1113,7 +1094,6 @@ def test_interpolate_pchip(self):
 
     @td.skip_if_no_scipy
     def test_interpolate_akima(self):
-        _skip_if_no_akima()
 
         ser = Series([10, 11, 12, 13])
 
@@ -1619,7 +1599,7 @@ def test_interp_non_timedelta_index(self, interp_methods_ind, ind):
 
         method, kwargs = interp_methods_ind
         if method == "pchip":
-            _skip_if_no_pchip()
+            pytest.importorskip("scipy")
 
         if method == "linear":
             result = df[0].interpolate(**kwargs)
@@ -1647,7 +1627,7 @@ def test_interpolate_timedelta_index(self, interp_methods_ind):
 
         method, kwargs = interp_methods_ind
         if method == "pchip":
-            _skip_if_no_pchip()
+            pytest.importorskip("scipy")
 
         if method in {"linear", "pchip"}:
             result = df[0].interpolate(method=method, **kwargs)