Allow str and list in aggfunc in DataFrameGroupby.agg#828
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I am not sure if this will pass or not, since group key order is changed as you could see from the picture i attach. Any suggestions on a fix is welcome. |
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emm, even with current setup, |
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@charlesdong1991 We don't guarantee the row order without a special reason, e.g., |
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thanks for your comment, i slightly changed the test a bit to fix this order issue that failed tests, and added some docstrings in agg. Feel free to take a look. @ueshin |
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any follow-up review will be appreciated a lot ^^ @ueshin @HyukjinKwon |
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| else: | ||
| group_keyname = [key.name for key in self._groupkeys] | ||
| agg_cols = [key for key in self._kdf.columns if key not in group_keyname] |
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I guess self._agg_columns should work?
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@charlesdong1991 oh, one more thing I'd like to ask. |
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@ueshin sure! Added and it passes tests locally, let's see if it's okay on CI. |
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@charlesdong1991 Thanks! |
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| for aggfunc in agg_funcs: | ||
| sorted_agg_kdf = kdf.groupby('kind').agg(aggfunc) | ||
| sorted_agg_pdf = pdf.groupby('kind').agg(aggfunc) |
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We might need .sort_index()?
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emm, seems it has the same index as pandas when it's numeric. but could add one to ensure
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The latest failure seems not related to this PR. |
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Thanks! merging. |
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right now, when I look at Groupby, it does not accept str or list, but in pandas, it's allowed. So before implementing named aggregation, i think this is a better thing to deal first.
e.g. in pandas we could have:
now koalas can also accept this: