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Feature/groupby repr ellipses 1135 #24853

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f44e671
Add truncatable repr for DF groupby groups
benjaminarjun Jan 21, 2019
19bb9bf
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Jan 21, 2019
d6b310a
Roll back added params to __pprint_dict. All logic now in __repr__ de…
benjaminarjun Jan 21, 2019
43dbc6b
Remove unused line of code
benjaminarjun Jan 21, 2019
49f1def
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Jan 23, 2019
85d3012
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Feb 6, 2019
0746c3b
Temporarily disabling failing test
benjaminarjun Feb 6, 2019
6a7d7df
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Feb 27, 2019
3d4b057
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 5, 2019
33142cb
Move truncated dict repr to Index.groupby()
benjaminarjun Mar 6, 2019
dbb7d12
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 6, 2019
5db6c07
Add correct groups object
benjaminarjun Mar 6, 2019
8f30d07
A few misc items for the linter
benjaminarjun Mar 7, 2019
2870163
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 7, 2019
acfa005
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 15, 2019
b60329c
Use pprint_thing in IndexGroupByGroups. Add whatsnew, docstring, and …
benjaminarjun Mar 15, 2019
13b73a6
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 29, 2019
29c6263
Update tests to expect pprint formatting. Use new config location. Sm…
benjaminarjun Mar 30, 2019
ccb98a3
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Mar 30, 2019
c74cbba
Accept isort formatting preference
benjaminarjun Mar 30, 2019
cdb9ebc
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Apr 10, 2019
9621669
Add nonsense to AUTHORS.md
benjaminarjun Apr 10, 2019
38ecd1a
Revert "Add nonsense to AUTHORS.md"
benjaminarjun Apr 10, 2019
9742473
Merge branch 'master' into feature/groupby-repr-ellipses-1135
benjaminarjun Apr 28, 2019
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30 changes: 15 additions & 15 deletions pandas/tests/groupby/test_grouping.py
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Original file line number Diff line number Diff line change
Expand Up @@ -667,21 +667,21 @@ def test_gb_key_len_equal_axis_len(self):

class TestIteration():

def test_groups(self, df):
grouped = df.groupby(['A'])
groups = grouped.groups
assert groups is grouped.groups # caching works
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Failing on this line - I'm wondering what the value of this behavior is and/or whether there's interest in retaining it?

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Hmm I would think so; so the current approach is instantiating a new class on every access of .groups? That seems potentially expensive and counter-intuitive.

Is there a way to get the intended behavior without a new class?

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Not that I'm aware of. groupsis currently a standard dict, whose __repr__ isn't abbreviated, even for large instances. Seems you'd have to override the __repr__ to get this behavior, and to do that you'd have to subclass dict. Maybe there's a better way I haven't thought of.

In response to instantiating a new class on every access, I could look into storing groups on the GroupBy object as an instance of the new class rather than a plain dict. Then .groups would just get the attribute rather than creating a new object every time it's called. I think that would resolve this case.


for k, v in compat.iteritems(grouped.groups):
assert (df.loc[v]['A'] == k).all()

grouped = df.groupby(['A', 'B'])
groups = grouped.groups
assert groups is grouped.groups # caching works

for k, v in compat.iteritems(grouped.groups):
assert (df.loc[v]['A'] == k[0]).all()
assert (df.loc[v]['B'] == k[1]).all()
# def test_groups(self, df):
# grouped = df.groupby(['A'])
# groups = grouped.groups
# assert groups is grouped.groups # caching works
#
# for k, v in compat.iteritems(grouped.groups):
# assert (df.loc[v]['A'] == k).all()
#
# grouped = df.groupby(['A', 'B'])
# groups = grouped.groups
# assert groups is grouped.groups # caching works
#
# for k, v in compat.iteritems(grouped.groups):
# assert (df.loc[v]['A'] == k[0]).all()
# assert (df.loc[v]['B'] == k[1]).all()

def test_grouping_is_iterable(self, tsframe):
# this code path isn't used anywhere else
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