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DEPR: deprecate Series/DataFrame.compound #26405

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jorisvandenbossche
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xref #18262

Not sure if we need to point to an alternative in the deprecation warning. I can put the exact "formula" for what we are currently calculating, but I don't know enough from finance to know if that is actually good to point to (eg I don't directly see that formula on the first google hit https://en.wikipedia.org/wiki/Compound_interest)

@jorisvandenbossche jorisvandenbossche added the Deprecate Functionality to remove in pandas label May 15, 2019
@jorisvandenbossche jorisvandenbossche added this to the 0.25.0 milestone May 15, 2019
@jreback jreback mentioned this pull request May 15, 2019
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@topper-123
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I'm +1 on deprecating this, as a scalar verion of compount is not particularly useful (I'm an economist).

But also, compound interests arrays can be a bit tricky to calulate in some cases. Would there be acceptance for adding e.g. cumpct_change to mirror cumsum etc.?

@jorisvandenbossche
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Thanks, good to have feedback of somebody who knows something about it! :)

Would there be acceptance for adding e.g. cumpct_change to mirror cumsum etc.?

Personally, I would say, that looks a a bit too specific (but yeah, I would never use it myself). Maybe we should think about making it easier to do generic cumulative operations.

@jorisvandenbossche
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Maybe we should think about making it easier to do generic cumulative operations.

Actually, that's expanding no?

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codecov bot commented May 15, 2019

Codecov Report

Merging #26405 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #26405      +/-   ##
==========================================
+ Coverage   91.69%   91.69%   +<.01%     
==========================================
  Files         174      174              
  Lines       50743    50745       +2     
==========================================
+ Hits        46527    46529       +2     
  Misses       4216     4216
Flag Coverage Δ
#multiple 90.2% <100%> (ø) ⬆️
#single 41.19% <0%> (-0.14%) ⬇️
Impacted Files Coverage Δ
pandas/core/generic.py 93.49% <100%> (+0.14%) ⬆️
pandas/io/gbq.py 78.94% <0%> (-10.53%) ⬇️
pandas/core/frame.py 97.02% <0%> (-0.12%) ⬇️
pandas/util/testing.py 90.7% <0%> (+0.1%) ⬆️

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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codecov bot commented May 15, 2019

Codecov Report

Merging #26405 into master will decrease coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #26405      +/-   ##
==========================================
- Coverage   91.69%   91.68%   -0.01%     
==========================================
  Files         174      174              
  Lines       50739    50741       +2     
==========================================
+ Hits        46523    46524       +1     
- Misses       4216     4217       +1
Flag Coverage Δ
#multiple 90.19% <100%> (ø) ⬆️
#single 41.16% <0%> (-0.16%) ⬇️
Impacted Files Coverage Δ
pandas/core/generic.py 93.49% <100%> (+0.14%) ⬆️
pandas/io/gbq.py 78.94% <0%> (-10.53%) ⬇️
pandas/core/frame.py 97.02% <0%> (-0.12%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 9c5165e...4d40284. Read the comment docs.

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lgtm. can you add a whats new note & add to the deprecated issue tracker

@jorisvandenbossche
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Added whatsnew

@jorisvandenbossche jorisvandenbossche merged commit 421ae9d into pandas-dev:master May 16, 2019
@jorisvandenbossche jorisvandenbossche deleted the depr-compound branch May 16, 2019 07:15
@Davdav05
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Davdav05 commented Nov 20, 2019

Hey guys, as you mentioned there is no alternative suggested. I've been using this method for a while, what would be the shortest/cleanest way to replace this method on a Series?

Thanks!

@jreback
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jreback commented Nov 21, 2019

it’s just

(1 + s).prod() - 1

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4 participants