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TST: remove chained assignment outside indexing tests #42882

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Merged
merged 1 commit into from
Aug 4, 2021
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TST: remove chained assignment outside indexing tests #42882

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2 changes: 1 addition & 1 deletion pandas/tests/frame/methods/test_dropna.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def test_dropIncompleteRows(self, float_frame):

def test_dropna(self):
df = DataFrame(np.random.randn(6, 4))
df[2][:2] = np.nan
df.iloc[:2, 2] = np.nan

dropped = df.dropna(axis=1)
expected = df.loc[:, [0, 1, 3]]
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26 changes: 13 additions & 13 deletions pandas/tests/frame/methods/test_interpolate.py
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Expand Up @@ -102,34 +102,34 @@ def test_interp_various(self):
expected = df.copy()
result = df.interpolate(method="polynomial", order=1)

expected.A.loc[3] = 2.66666667
expected.A.loc[13] = 5.76923076
expected.loc[3, "A"] = 2.66666667
expected.loc[13, "A"] = 5.76923076
tm.assert_frame_equal(result, expected)

result = df.interpolate(method="cubic")
# GH #15662.
expected.A.loc[3] = 2.81547781
expected.A.loc[13] = 5.52964175
expected.loc[3, "A"] = 2.81547781
expected.loc[13, "A"] = 5.52964175
tm.assert_frame_equal(result, expected)

result = df.interpolate(method="nearest")
expected.A.loc[3] = 2
expected.A.loc[13] = 5
expected.loc[3, "A"] = 2
expected.loc[13, "A"] = 5
tm.assert_frame_equal(result, expected, check_dtype=False)

result = df.interpolate(method="quadratic")
expected.A.loc[3] = 2.82150771
expected.A.loc[13] = 6.12648668
expected.loc[3, "A"] = 2.82150771
expected.loc[13, "A"] = 6.12648668
tm.assert_frame_equal(result, expected)

result = df.interpolate(method="slinear")
expected.A.loc[3] = 2.66666667
expected.A.loc[13] = 5.76923077
expected.loc[3, "A"] = 2.66666667
expected.loc[13, "A"] = 5.76923077
tm.assert_frame_equal(result, expected)

result = df.interpolate(method="zero")
expected.A.loc[3] = 2.0
expected.A.loc[13] = 5
expected.loc[3, "A"] = 2.0
expected.loc[13, "A"] = 5
tm.assert_frame_equal(result, expected, check_dtype=False)

@td.skip_if_no_scipy
Expand Down Expand Up @@ -218,7 +218,7 @@ def test_interp_leading_nans(self, check_scipy):
)
result = df.interpolate()
expected = df.copy()
expected["B"].loc[3] = -3.75
expected.loc[3, "B"] = -3.75
tm.assert_frame_equal(result, expected)

if check_scipy:
Expand Down
6 changes: 3 additions & 3 deletions pandas/tests/frame/methods/test_isin.py
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Expand Up @@ -79,8 +79,8 @@ def test_isin_df(self):
df2 = DataFrame({"A": [0, 2, 12, 4], "B": [2, np.nan, 4, 5]})
expected = DataFrame(False, df1.index, df1.columns)
result = df1.isin(df2)
expected["A"].loc[[1, 3]] = True
expected["B"].loc[[0, 2]] = True
expected.loc[[1, 3], "A"] = True
expected.loc[[0, 2], "B"] = True
tm.assert_frame_equal(result, expected)

# partial overlapping columns
Expand Down Expand Up @@ -133,7 +133,7 @@ def test_isin_against_series(self):
)
s = Series([1, 3, 11, 4], index=["a", "b", "c", "d"])
expected = DataFrame(False, index=df.index, columns=df.columns)
expected["A"].loc["a"] = True
expected.loc["a", "A"] = True
expected.loc["d"] = True
result = df.isin(s)
tm.assert_frame_equal(result, expected)
Expand Down