BUG: Value error aggregate item by item #15083
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closes GH15082
closes GH15082
closes GH15082
GH15082
ghost
changed the title
| a2 = [s, s, datetime.strptime('2016-12-28', "%Y-%m-%d"), 'asdf', 6] | ||
| num = np.array([a1, a2]) | ||
| columns = ['b', 'c', 'd', 'e', 'f'] | ||
| idx = [x for x in xrange(0, len(num))] |
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Perhaps try changing this line to idx = range(len(num))?
jreback
reviewed
Jan 9, 2017
| @@ -772,6 +772,31 @@ def max_value(group): | |||
| 'int64': 1}).sort_values() | |||
| assert_series_equal(result, expected) | |||
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| def test_groupby_aggregate_item_by_item(self): | |||
| def test_df(): | |||
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this should be a much simpler construction of a test data frame
jreback
reviewed
Jan 9, 2017
| def x(): | ||
| df.groupby(["e_idx", "e"])["a"].quantile(what) | ||
| self.assertRaisesRegexp(ValueError, | ||
| "'SeriesGroupBy' object " |
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this is not any more useful
jreback
requested changes
Jan 9, 2017
|
Closing this pull request since it does not resolve the issue. |
ghost
closed this
ghost
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git diff upstream/master | flake8 --diff