Added skip if no scipy decorator

Author: MomIsBestFriend

pandas/tests/frame/methods/test_cov_corr.py

@@ -155,6 +155,7 @@ def test_corr_int(self):
 
 
 class TestDataFrameCorrWith:
+    @td.skip_if_no_scipy
     def test_corrwith(self, datetime_frame):
         a = datetime_frame
         noise = Series(np.random.randn(len(a)), index=a.index)
@@ -203,6 +204,7 @@ def test_corrwith_with_objects(self):
         expected = df1.loc[:, cols].corrwith(df2.loc[:, cols], axis=1)
         tm.assert_series_equal(result, expected)
 
+    @td.skip_if_no_scipy
     def test_corrwith_series(self, datetime_frame):
         result = datetime_frame.corrwith(datetime_frame["A"])
         expected = datetime_frame.apply(datetime_frame["A"].corr)
@@ -218,6 +220,7 @@ def test_corrwith_matches_corrcoef(self):
         tm.assert_almost_equal(c1, c2)
         assert c1 < 1
 
+    @td.skip_if_no_scipy
     def test_corrwith_mixed_dtypes(self):
         # GH#18570
         df = pd.DataFrame(

pandas/tests/series/test_timeseries.py

@@ -76,6 +76,7 @@ def test_asfreq_datetimeindex_empty_series(self):
         result = Series([3], index=index.copy()).asfreq("H")
         tm.assert_index_equal(expected.index, result.index)
 
+    @td.skip_if_no_scipy
     def test_autocorr(self, datetime_series):
         # Just run the function
         corr1 = datetime_series.autocorr()

pandas/tests/test_nanops.py

@@ -560,6 +560,7 @@ def check_nancorr_nancov_1d(self, checkfun, targ0, targ1, **kwargs):
         tm.assert_almost_equal(targ2, res24)
         tm.assert_almost_equal(targ2, res25)
 
+    @td.skip_if_no_scipy
     def test_nancorr(self):
         targ0 = np.corrcoef(self.arr_float_2d, self.arr_float1_2d)[0, 1]
         targ1 = np.corrcoef(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0, 1]
@@ -568,6 +569,7 @@ def test_nancorr(self):
         targ1 = np.corrcoef(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0, 1]
         self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1, method="pearson")
 
+    @td.skip_if_no_scipy
     def test_nancorr_pearson(self):
         targ0 = np.corrcoef(self.arr_float_2d, self.arr_float1_2d)[0, 1]
         targ1 = np.corrcoef(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0, 1]

pandas/tests/window/moments/test_moments_rolling.py

@@ -1097,6 +1097,7 @@ def test_rolling_cov(self):
     def test_rolling_cov_pairwise(self):
         self._check_pairwise_moment("rolling", "cov", window=10, min_periods=5)
 
+    @td.skip_if_no_scipy
     def test_rolling_corr(self):
         A = self.series
         B = A + randn(len(A))