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DEPR: deprecate (Sparse)Series.from_array #18258

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merged 5 commits into from
Nov 17, 2017

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jorisvandenbossche
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@jorisvandenbossche jorisvandenbossche commented Nov 13, 2017

Closes #18213.

It's a bit annoying that I have to keep it as internal method. On the other hand this might signal that from_array actually has some use case ..

@jorisvandenbossche jorisvandenbossche added Deprecate Functionality to remove in pandas Sparse Sparse Data Type labels Nov 13, 2017
@jorisvandenbossche jorisvandenbossche added this to the 0.22.0 milestone Nov 13, 2017
fastpath=fastpath)

@classmethod
def _from_array(cls, arr, index=None, name=None, dtype=None, copy=False,
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its prob easier just to elminate this and deal with SparseSeries directly in the Series constructor. Do we have an issue for this?

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annoyingly we'd actually have to do this in __new__ (but not that big of a deal)

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Yes, that would be cleaner. But it is also an API change that Series(..) would no longer always return a Series but depending on the input also SparseSeries.
So the question is if we actually want this. I can open an issue about it though.

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❗ No coverage uploaded for pull request base (master@7b5ca80). Click here to learn what that means.
The diff coverage is 100%.

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@@            Coverage Diff            @@
##             master   #18258   +/-   ##
=========================================
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Flag Coverage Δ
#multiple 89.19% <100%> (?)
#single 39.42% <50%> (?)
Impacted Files Coverage Δ
pandas/core/frame.py 97.8% <100%> (ø)
pandas/core/series.py 95.02% <100%> (ø)
pandas/core/sparse/series.py 95.33% <100%> (ø)

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The diff coverage is 100%.

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@@            Coverage Diff            @@
##             master   #18258   +/-   ##
=========================================
  Coverage          ?   91.38%           
=========================================
  Files             ?      164           
  Lines             ?    49888           
  Branches          ?        0           
=========================================
  Hits              ?    45591           
  Misses            ?     4297           
  Partials          ?        0
Flag Coverage Δ
#multiple 89.19% <100%> (?)
#single 39.42% <63.63%> (?)
Impacted Files Coverage Δ
pandas/core/frame.py 97.8% <100%> (ø)
pandas/core/series.py 95.02% <100%> (ø)
pandas/core/sparse/series.py 95.33% <100%> (ø)

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@jreback jreback mentioned this pull request Nov 16, 2017
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@jreback jreback merged commit 774030c into pandas-dev:master Nov 17, 2017
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jreback commented Nov 17, 2017

thanks!

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gfyoung commented Jan 21, 2018

@jorisvandenbossche @jreback : This commit introduced the first (and only) instance of pytest.warns instead of our in-house tm.assert_produces_warning. Do we have a preference for which should be used now that we require pytest >= 3.1 ?

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jreback commented Jan 21, 2018

@gfyoung let's just use assert_produces_warning. and alway pls add a lint rule to fail onpytest.warns. We could of course change to use pytest.warns (maybe) but that's a different issue.

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gfyoung commented Jan 21, 2018

@jreback : I figured as such. Thanks for confirming.

gfyoung added a commit to forking-repos/pandas that referenced this pull request Jan 22, 2018
Per discussion in pandas-devgh-18258, we are
prohibiting its use in tests, at
least for the time being.
gfyoung added a commit to forking-repos/pandas that referenced this pull request Jan 22, 2018
Per discussion in pandas-devgh-18258, we are
prohibiting its use in tests, at
least for the time being.
jreback pushed a commit that referenced this pull request Jan 23, 2018
* MAINT: Check for pytest.warns in tests

Per discussion in gh-18258, we are
prohibiting its use in tests, at
least for the time being.

* MAINT: Patch lint error with pytest.warns

The lint correctly fails on this line.
@jorisvandenbossche jorisvandenbossche deleted the depr-from_array branch February 23, 2018 07:50
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