ENH: Let initialisation from dicts use insertion order for python >= 3.6 (part I) #19830
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jreback
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seems fine. small comments. ping on green. |
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@@ Coverage Diff @@
## master #19830 +/- ##
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+ Coverage 91.58% 91.61% +0.03%
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Files 150 150
Lines 48908 48892 -16
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+ Hits 44792 44793 +1
+ Misses 4116 4099 -17
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Green. |
jreback
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Feb 22, 2018
| datetime64name: 1, objectname: 1}) | ||
| result.sort_index() | ||
| expected.sort_index() | ||
| result.sort_index(inplace=True) |
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can you reassign, I hate inplace
| expected[floatname] = 1 | ||
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| result.sort_index() | ||
| result.sort_index(inplace=True) |
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jreback
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Feb 22, 2018
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lgtm ping on green |
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thanks |
This was referenced Feb 23, 2018
harisbal
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git diff upstream/master -u -- "*.py" | flake8 --diffThis PR prepares pandas to allow initialisation using insertion order for python>=3.6. E.g.
Series({'B': 1, 'A': 2})will then retain order and not convert toSeries({'A': 2, 'B': 1}).Letting dataframe/series initialisation from dicts preserve order for python >=3.6 is a relative simple change, just change a line each in core/frame.py and core/series.py. However, this makes some 36 tests fail, as the tests have been set up to depend on conversion to alphabetical order.
This PR makes all tests in
pandas/tests/framepass both if dict initialisation uses insertion order and alphabetical order. No test functionality is changed in this PR.After this PR I will do 1 or 2 more similar PRs, so all tests pass independent of dict initialisation rule, and then core/frame.py and core/series.py will be changed to use insertion order for python>=3.6.