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BUG: fix .loc.__setitem__ not raising when using too many indexers #44656
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Original file line number | Diff line number | Diff line change |
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@@ -1189,6 +1189,18 @@ def test_iloc_getitem_setitem_fancy_exceptions(self, float_frame): | |
# GH#32257 we let numpy do validation, get their exception | ||
float_frame.iloc[:, :, :] = 1 | ||
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@pytest.mark.parametrize( | ||
"ser, keys", | ||
[(Series([10]), (0, 0)), (Series([1, 2, 3], index=list("abc")), (0, 1))], | ||
) | ||
def test_iloc_setitem_indexer_length(self, ser, keys): | ||
# GH#13831 | ||
with pytest.raises(IndexError, match="too many indices for array"): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Note the difference in error between There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. but @DriesSchaumont I think we would want to catch that case & re-raise appropriately There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. IIRC a while back we removed some checks (for perf) and let numpy exceptions surface. Not knowing anything about the specific use case, in cases where we have a choice between raising IndexError vs IndexingError (i.e. either would be a reasonable choice) I'd rather raise IndexError. |
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ser.iloc[keys] = 1000 | ||
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with pytest.raises(IndexingError, match="Too many indexers"): | ||
ser.iloc[keys] | ||
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# TODO(ArrayManager) "split" path doesn't properly implement DataFrame indexer | ||
@td.skip_array_manager_not_yet_implemented | ||
def test_iloc_frame_indexer(self): | ||
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Original file line number | Diff line number | Diff line change |
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@@ -2685,6 +2685,18 @@ def test_loc_with_period_index_indexer(): | |
tm.assert_frame_equal(df, df.loc[list(idx)]) | ||
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def test_loc_setitem_multiindex_timestamp(): | ||
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# GH#13831 | ||
vals = np.random.randn(8, 6) | ||
idx = date_range("1/1/2000", periods=8) | ||
cols = ["A", "B", "C", "D", "E", "F"] | ||
df_mt = DataFrame(vals, index=idx, columns=cols) | ||
df_mt.loc[df_mt.index[1], ("A", "B")] = np.nan | ||
vals[1][0:2] = np.nan | ||
res = DataFrame(vals, index=idx, columns=cols) | ||
tm.assert_frame_equal(res, df_mt) | ||
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def test_loc_getitem_multiindex_tuple_level(): | ||
# GH#27591 | ||
lev1 = ["a", "b", "c"] | ||
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@@ -2715,6 +2727,20 @@ def test_loc_getitem_multiindex_tuple_level(): | |
assert result2 == 6 | ||
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@pytest.mark.parametrize( | ||
"ser, keys", | ||
[(Series([10]), (0, 0)), (Series([1, 2, 3], index=list("abc")), (0, 1))], | ||
) | ||
def test_loc_setitem_indexer_length(ser, keys): | ||
# GH#13831 | ||
msg = "Too many indexers" | ||
with pytest.raises(IndexingError, match=msg): | ||
ser.loc[keys] = 1000 | ||
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with pytest.raises(IndexingError, match=msg): | ||
ser.loc[keys] | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can use indexer_sli fixture to share this test with the iloc one i think There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Done, also moved the tests. |
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class TestLocSeries: | ||
@pytest.mark.parametrize("val,expected", [(2 ** 63 - 1, 3), (2 ** 63, 4)]) | ||
def test_loc_uint64(self, val, expected): | ||
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@@ -2889,11 +2915,11 @@ def test_loc_series_getitem_too_many_dimensions(self, indexer): | |
index=MultiIndex.from_tuples([("A", "0"), ("A", "1"), ("B", "0")]), | ||
data=[21, 22, 23], | ||
) | ||
msg = "Too many indices" | ||
with pytest.raises(ValueError, match=msg): | ||
msg = "Too many indexers" | ||
with pytest.raises(IndexingError, match=msg): | ||
ser.loc[indexer, :] | ||
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with pytest.raises(ValueError, match=msg): | ||
with pytest.raises(IndexingError, match=msg): | ||
ser.loc[indexer, :] = 1 | ||
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def test_loc_setitem(self, string_series): | ||
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