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Make is_monotonic~ work properly for index #930

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merged 9 commits into from
Oct 22, 2019

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itholic
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@itholic itholic commented Oct 15, 2019

Resolve #931 (The contents below is same as the contents of this issue)

When we use is_monotonic_decreasing or is_monotonic_increasing for index,

pandas works like below:

>>> s = pd.Series([7, 6, 5, 4, 3, 2, 1], index=[7, 6, 5, 4, 3, 2, 1])
>>> s.index.is_monotonic_decreasing
True

Since the index order is literally motononic decreasing, they return True

But our case,

>>> s = ks.Series([7, 6, 5, 4, 3, 2, 1], index=[7, 6, 5, 4, 3, 2, 1])
>>> s.index.is_monotonic_decreasing
False

as seen above, it returns False.

because our existing logic always order by index column before calculate the each rows increasing or decreasing.

So they always calculate result based on data column, not index column. (index column is always sorted since order by)

So i think maybe it is better to fix this logic to follow behavior of pandas one for index.

@ueshin
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ueshin commented Oct 15, 2019

@itholic Good catch!
btw, the proposed fix seems still something missing:

>>> pser
0.097069    0.097069
0.674804    0.674804
0.417065    0.417065
dtype: float64
>>> pser.is_monotonic
False
>>> pser.index.is_monotonic
False

>>> ks.from_pandas(pser).is_monotonic
True
>>> ks.from_pandas(pser).index.is_monotonic
False

maybe we need to apply the fix for Index to Series' case as well.

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codecov-io commented Oct 15, 2019

Codecov Report

Merging #930 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #930      +/-   ##
==========================================
+ Coverage   94.46%   94.47%   +<.01%     
==========================================
  Files          34       34              
  Lines        6382     6393      +11     
==========================================
+ Hits         6029     6040      +11     
  Misses        353      353
Impacted Files Coverage Δ
databricks/koalas/base.py 94.83% <100%> (+0.03%) ⬆️
databricks/koalas/missing/frame.py 100% <0%> (ø) ⬆️
databricks/koalas/missing/indexes.py 100% <0%> (ø) ⬆️
databricks/koalas/missing/series.py 100% <0%> (ø) ⬆️
databricks/koalas/frame.py 96.02% <0%> (ø) ⬆️
databricks/koalas/series.py 95.6% <0%> (+0.01%) ⬆️
databricks/koalas/indexes.py 97.38% <0%> (+0.18%) ⬆️

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@itholic
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itholic commented Oct 15, 2019

@ueshin , ah i missed it. just fixed it, Thanks for commenting :)

@ueshin
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ueshin commented Oct 15, 2019

Let me retrigger the build and let's see.

@itholic
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itholic commented Oct 15, 2019

@ueshin oops my comment removed by mistake; yeah let's see and maybe hyukjin is something doing for speed up build process. 😃

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LGTM otherwise

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Softagram Impact Report for pull/930 (head commit: af68952)

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@HyukjinKwon HyukjinKwon merged commit f91b73c into databricks:master Oct 22, 2019
@itholic itholic deleted the index_is_monotonic branch October 23, 2019 04:25
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is_monotonic_decreasing & is_monotonic_increasing for index not work properly
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