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ENH: raise limit for completion number of columns and warn beyond #35207

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ENH: raise limit for completion number of columns and warn beyond #35207

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33f49e1
raise limit for completion number of columns and warn beyond
bthyreau Jul 10, 2020
b0c1f7a
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bthyreau Jul 10, 2020
1313077
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bthyreau Jul 10, 2020
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12 changes: 9 additions & 3 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5175,10 +5175,16 @@ def _dir_additions(self):
add the string-like attributes from the info_axis.
If info_axis is a MultiIndex, it's first level values are used.
"""
unique_entries = self._info_axis.unique(level=0)
if len(unique_entries) > 1000:
unique_entries = unique_entries[:1000]
warnings.warn(
"Completion only considers the first 1000 entries "
"for performance reasons",
UserWarning,
)
additions = {
c
for c in self._info_axis.unique(level=0)[:100]
if isinstance(c, str) and c.isidentifier()
c for c in unique_entries if isinstance(c, str) and c.isidentifier()
}
return super()._dir_additions().union(additions)

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11 changes: 8 additions & 3 deletions pandas/tests/series/test_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -248,17 +248,22 @@ def get_dir(s):
tm.makeIntIndex(10),
tm.makeFloatIndex(10),
Index([True, False]),
Index([f"a{i}" for i in range(101)]),
Index([f"a{i}" for i in range(1001)]),
pd.MultiIndex.from_tuples(zip("ABCD", "EFGH")),
pd.MultiIndex.from_tuples(zip([0, 1, 2, 3], "EFGH")),
],
)
def test_index_tab_completion(self, index):
# dir contains string-like values of the Index.
s = pd.Series(index=index, dtype=object)
dir_s = dir(s)
if len(s) < 1000:
dir_s = dir(s)
else:
with tm.assert_produces_warning(UserWarning):
dir_s = dir(s)

for i, x in enumerate(s.index.unique(level=0)):
if i < 100:
if i < 1000:
assert not isinstance(x, str) or not x.isidentifier() or x in dir_s
else:
assert x not in dir_s
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