REF: collect .align tests

pandas/tests/frame/methods/test_align.py

@@ -0,0 +1,245 @@
+import numpy as np
+import pytest
+
+import pandas as pd
+from pandas import DataFrame, Index, Series
+import pandas._testing as tm
+
+
+class TestDataFrameAlign:
+    def test_align_float(self, float_frame):
+        af, bf = float_frame.align(float_frame)
+        assert af._data is not float_frame._data
+
+        af, bf = float_frame.align(float_frame, copy=False)
+        assert af._data is float_frame._data
+
+        # axis = 0
+        other = float_frame.iloc[:-5, :3]
+        af, bf = float_frame.align(other, axis=0, fill_value=-1)
+
+        tm.assert_index_equal(bf.columns, other.columns)
+
+        # test fill value
+        join_idx = float_frame.index.join(other.index)
+        diff_a = float_frame.index.difference(join_idx)
+        diff_b = other.index.difference(join_idx)
+        diff_a_vals = af.reindex(diff_a).values
+        diff_b_vals = bf.reindex(diff_b).values
+        assert (diff_a_vals == -1).all()
+
+        af, bf = float_frame.align(other, join="right", axis=0)
+        tm.assert_index_equal(bf.columns, other.columns)
+        tm.assert_index_equal(bf.index, other.index)
+        tm.assert_index_equal(af.index, other.index)
+
+        # axis = 1
+        other = float_frame.iloc[:-5, :3].copy()
+        af, bf = float_frame.align(other, axis=1)
+        tm.assert_index_equal(bf.columns, float_frame.columns)
+        tm.assert_index_equal(bf.index, other.index)
+
+        # test fill value
+        join_idx = float_frame.index.join(other.index)
+        diff_a = float_frame.index.difference(join_idx)
+        diff_b = other.index.difference(join_idx)
+        diff_a_vals = af.reindex(diff_a).values
+
+        # TODO(wesm): unused?
+        diff_b_vals = bf.reindex(diff_b).values  # noqa
+
+        assert (diff_a_vals == -1).all()
+
+        af, bf = float_frame.align(other, join="inner", axis=1)
+        tm.assert_index_equal(bf.columns, other.columns)
+
+        af, bf = float_frame.align(other, join="inner", axis=1, method="pad")
+        tm.assert_index_equal(bf.columns, other.columns)
+
+        af, bf = float_frame.align(
+            other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=None
+        )
+        tm.assert_index_equal(bf.index, Index([]))
+
+        af, bf = float_frame.align(
+            other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
+        )
+        tm.assert_index_equal(bf.index, Index([]))
+
+        # Try to align DataFrame to Series along bad axis
+        msg = "No axis named 2 for object type DataFrame"
+        with pytest.raises(ValueError, match=msg):
+            float_frame.align(af.iloc[0, :3], join="inner", axis=2)
+
+        # align dataframe to series with broadcast or not
+        idx = float_frame.index
+        s = Series(range(len(idx)), index=idx)
+
+        left, right = float_frame.align(s, axis=0)
+        tm.assert_index_equal(left.index, float_frame.index)
+        tm.assert_index_equal(right.index, float_frame.index)
+        assert isinstance(right, Series)
+
+        left, right = float_frame.align(s, broadcast_axis=1)
+        tm.assert_index_equal(left.index, float_frame.index)
+        expected = {c: s for c in float_frame.columns}
+        expected = DataFrame(
+            expected, index=float_frame.index, columns=float_frame.columns
+        )
+        tm.assert_frame_equal(right, expected)
+
+        # see gh-9558
+        df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
+        result = df[df["a"] == 2]
+        expected = DataFrame([[2, 5]], index=[1], columns=["a", "b"])
+        tm.assert_frame_equal(result, expected)
+
+        result = df.where(df["a"] == 2, 0)
+        expected = DataFrame({"a": [0, 2, 0], "b": [0, 5, 0]})
+        tm.assert_frame_equal(result, expected)
+
+    def test_align_int(self, int_frame):
+        # test other non-float types
+        other = DataFrame(index=range(5), columns=["A", "B", "C"])
+
+        af, bf = int_frame.align(other, join="inner", axis=1, method="pad")
+        tm.assert_index_equal(bf.columns, other.columns)
+
+    def test_align_mixed_type(self, float_string_frame):
+
+        af, bf = float_string_frame.align(
+            float_string_frame, join="inner", axis=1, method="pad"
+        )
+        tm.assert_index_equal(bf.columns, float_string_frame.columns)
+
+    def test_align_mixed_float(self, mixed_float_frame):
+        # mixed floats/ints
+        other = DataFrame(index=range(5), columns=["A", "B", "C"])
+
+        af, bf = mixed_float_frame.align(
+            other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
+        )
+        tm.assert_index_equal(bf.index, Index([]))
+
+    def test_align_mixed_int(self, mixed_int_frame):
+        other = DataFrame(index=range(5), columns=["A", "B", "C"])
+
+        af, bf = mixed_int_frame.align(
+            other.iloc[:, 0], join="inner", axis=1, method=None, fill_value=0
+        )
+        tm.assert_index_equal(bf.index, Index([]))
+
+    def test_align_multiindex(self):
+        # GH#10665
+        # same test cases as test_align_multiindex in test_series.py
+
+        midx = pd.MultiIndex.from_product(
+            [range(2), range(3), range(2)], names=("a", "b", "c")
+        )
+        idx = pd.Index(range(2), name="b")
+        df1 = pd.DataFrame(np.arange(12, dtype="int64"), index=midx)
+        df2 = pd.DataFrame(np.arange(2, dtype="int64"), index=idx)
+
+        # these must be the same results (but flipped)
+        res1l, res1r = df1.align(df2, join="left")
+        res2l, res2r = df2.align(df1, join="right")
+
+        expl = df1
+        tm.assert_frame_equal(expl, res1l)
+        tm.assert_frame_equal(expl, res2r)
+        expr = pd.DataFrame([0, 0, 1, 1, np.nan, np.nan] * 2, index=midx)
+        tm.assert_frame_equal(expr, res1r)
+        tm.assert_frame_equal(expr, res2l)
+
+        res1l, res1r = df1.align(df2, join="right")
+        res2l, res2r = df2.align(df1, join="left")
+
+        exp_idx = pd.MultiIndex.from_product(
+            [range(2), range(2), range(2)], names=("a", "b", "c")
+        )
+        expl = pd.DataFrame([0, 1, 2, 3, 6, 7, 8, 9], index=exp_idx)
+        tm.assert_frame_equal(expl, res1l)
+        tm.assert_frame_equal(expl, res2r)
+        expr = pd.DataFrame([0, 0, 1, 1] * 2, index=exp_idx)
+        tm.assert_frame_equal(expr, res1r)
+        tm.assert_frame_equal(expr, res2l)
+
+    def test_align_series_combinations(self):
+        df = pd.DataFrame({"a": [1, 3, 5], "b": [1, 3, 5]}, index=list("ACE"))
+        s = pd.Series([1, 2, 4], index=list("ABD"), name="x")
+
+        # frame + series
+        res1, res2 = df.align(s, axis=0)
+        exp1 = pd.DataFrame(
+            {"a": [1, np.nan, 3, np.nan, 5], "b": [1, np.nan, 3, np.nan, 5]},
+            index=list("ABCDE"),
+        )
+        exp2 = pd.Series([1, 2, np.nan, 4, np.nan], index=list("ABCDE"), name="x")
+
+        tm.assert_frame_equal(res1, exp1)
+        tm.assert_series_equal(res2, exp2)
+
+        # series + frame
+        res1, res2 = s.align(df)
+        tm.assert_series_equal(res1, exp2)
+        tm.assert_frame_equal(res2, exp1)
+
+    def _check_align(self, a, b, axis, fill_axis, how, method, limit=None):
+        aa, ab = a.align(
+            b, axis=axis, join=how, method=method, limit=limit, fill_axis=fill_axis
+        )
+
+        join_index, join_columns = None, None
+
+        ea, eb = a, b
+        if axis is None or axis == 0:
+            join_index = a.index.join(b.index, how=how)
+            ea = ea.reindex(index=join_index)
+            eb = eb.reindex(index=join_index)
+
+        if axis is None or axis == 1:
+            join_columns = a.columns.join(b.columns, how=how)
+            ea = ea.reindex(columns=join_columns)
+            eb = eb.reindex(columns=join_columns)
+
+        ea = ea.fillna(axis=fill_axis, method=method, limit=limit)
+        eb = eb.fillna(axis=fill_axis, method=method, limit=limit)
+
+        tm.assert_frame_equal(aa, ea)
+        tm.assert_frame_equal(ab, eb)
+
+    @pytest.mark.parametrize("meth", ["pad", "bfill"])
+    @pytest.mark.parametrize("ax", [0, 1, None])
+    @pytest.mark.parametrize("fax", [0, 1])
+    @pytest.mark.parametrize("how", ["inner", "outer", "left", "right"])
+    def test_align_fill_method(self, how, meth, ax, fax, float_frame):
+        df = float_frame
+        self._check_align_fill(df, how, meth, ax, fax)
+
+    def _check_align_fill(self, frame, kind, meth, ax, fax):
+        left = frame.iloc[0:4, :10]
+        right = frame.iloc[2:, 6:]
+        empty = frame.iloc[:0, :0]
+
+        self._check_align(left, right, axis=ax, fill_axis=fax, how=kind, method=meth)
+        self._check_align(
+            left, right, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
+        )
+
+        # empty left
+        self._check_align(empty, right, axis=ax, fill_axis=fax, how=kind, method=meth)
+        self._check_align(
+            empty, right, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
+        )
+
+        # empty right
+        self._check_align(left, empty, axis=ax, fill_axis=fax, how=kind, method=meth)
+        self._check_align(
+            left, empty, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
+        )
+
+        # both empty
+        self._check_align(empty, empty, axis=ax, fill_axis=fax, how=kind, method=meth)
+        self._check_align(
+            empty, empty, axis=ax, fill_axis=fax, how=kind, method=meth, limit=1
+        )