Cln reshape tests

pandas/tests/reshape/concat/test_append.py

@@ -1,5 +1,4 @@
 import datetime as dt
-from datetime import datetime
 from itertools import combinations
 
 import dateutil

pandas/tests/reshape/concat/test_append_common.py

@@ -371,7 +371,7 @@ def test_concatlike_datetimetz_to_object(self, tz_aware_fixture):
         )
 
         res = dti1.append(dti3)
-        # tm.assert_index_equal(res, exp)
+        tm.assert_index_equal(res, exp)
 
         dts1 = Series(dti1)
         dts3 = Series(dti3)

pandas/tests/reshape/concat/test_concat.py

@@ -79,9 +79,6 @@ def test_concat_copy(self):
                 assert b.values.base is not None
 
     def test_concat_with_group_keys(self):
-        df = DataFrame(np.random.randn(4, 3))
-        df2 = DataFrame(np.random.randn(4, 4))
-
         # axis=0
         df = DataFrame(np.random.randn(3, 4))
         df2 = DataFrame(np.random.randn(4, 4))

pandas/tests/reshape/concat/test_dataframe.py

@@ -15,9 +15,9 @@ class TestDataFrameConcat:
     def test_concat_multiple_frames_dtypes(self):
 
         # GH#2759
-        A = DataFrame(data=np.ones((10, 2)), columns=["foo", "bar"], dtype=np.float64)
-        B = DataFrame(data=np.ones((10, 2)), dtype=np.float32)
-        results = concat((A, B), axis=1).dtypes
+        df1 = DataFrame(data=np.ones((10, 2)), columns=["foo", "bar"], dtype=np.float64)
+        df2 = DataFrame(data=np.ones((10, 2)), dtype=np.float32)
+        results = concat((df1, df2), axis=1).dtypes
         expected = Series(
             [np.dtype("float64")] * 2 + [np.dtype("float32")] * 2,
             index=["foo", "bar", 0, 1],

pandas/tests/reshape/concat/test_index.py

@@ -96,18 +96,18 @@ def test_concat_rename_index(self):
         tm.assert_frame_equal(result, exp)
         assert result.index.names == exp.index.names
 
-    @pytest.mark.parametrize("test_series", [True, False])
-    def test_concat_copy_index(self, test_series, axis):
+    def test_concat_copy_index_series(self, axis):
         # GH 29879
-        if test_series:
-            ser = Series([1, 2])
-            comb = concat([ser, ser], axis=axis, copy=True)
-            assert comb.index is not ser.index
-        else:
-            df = DataFrame([[1, 2], [3, 4]], columns=["a", "b"])
-            comb = concat([df, df], axis=axis, copy=True)
-            assert comb.index is not df.index
-            assert comb.columns is not df.columns
+        ser = Series([1, 2])
+        comb = concat([ser, ser], axis=axis, copy=True)
+        assert comb.index is not ser.index
+
+    def test_concat_copy_index_frame(self, axis):
+        # GH 29879
+        df = DataFrame([[1, 2], [3, 4]], columns=["a", "b"])
+        comb = concat([df, df], axis=axis, copy=True)
+        assert comb.index is not df.index
+        assert comb.columns is not df.columns
 
     def test_default_index(self):
         # is_series and ignore_index

pandas/tests/reshape/test_cut.py

@@ -32,8 +32,9 @@ def test_simple():
     tm.assert_numpy_array_equal(result, expected, check_dtype=False)
 
 
-def test_bins():
-    data = np.array([0.2, 1.4, 2.5, 6.2, 9.7, 2.1])
+@pytest.mark.parametrize("func", [list, np.array])
+def test_bins(func):
+    data = func([0.2, 1.4, 2.5, 6.2, 9.7, 2.1])
     result, bins = cut(data, 3, retbins=True)
 
     intervals = IntervalIndex.from_breaks(bins.round(3))
@@ -68,18 +69,6 @@ def test_no_right():
     tm.assert_almost_equal(bins, np.array([0.2, 2.575, 4.95, 7.325, 9.7095]))
 
 
-def test_array_like():
-    data = [0.2, 1.4, 2.5, 6.2, 9.7, 2.1]
-    result, bins = cut(data, 3, retbins=True)
-
-    intervals = IntervalIndex.from_breaks(bins.round(3))
-    intervals = intervals.take([0, 0, 0, 1, 2, 0])
-    expected = Categorical(intervals, ordered=True)
-
-    tm.assert_categorical_equal(result, expected)
-    tm.assert_almost_equal(bins, np.array([0.1905, 3.36666667, 6.53333333, 9.7]))
-
-
 def test_bins_from_interval_index():
     c = cut(range(5), 3)
     expected = c