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DEPR: deprecate integer add/sub with DTI/TDI/PI/Timestamp/Period #22535

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merged 40 commits into from
Nov 1, 2018

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jbrockmendel
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@jbrockmendel jbrockmendel commented Aug 29, 2018

Discussed in #21939; these operations cause headaches and internal-inconsistencies (e.g. ATM Timedelta is the only one of the related classes that doesn't support integer ops)

pandas/core/arrays/datetimelike.py Outdated Show resolved Hide resolved
@mroeschke
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There are some reference to integer arithmetic in timeseries.rst (e.g. https://pandas.pydata.org/pandas-docs/stable/timeseries.html#period). It's probably a good idea to scrub them so we don't advertise depreciated functionality

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Is there a usage of tm.assert_produces_warning to use when we expect the affected code to produce two warnings?

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jreback commented Aug 31, 2018

Is there a usage of tm.assert_produces_warning to use when we expect the affected code to produce two warnings?

I think you can pass a list? (you can to the underlying machinery, so maybe this just works, if not it should)

@jreback jreback added the Deprecate Functionality to remove in pandas label Aug 31, 2018
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jreback commented Aug 31, 2018

@jbrockmendel pls add to the list in the deprecation issue (#6581) , when we merge can check the box

@@ -514,6 +514,8 @@ Deprecations
- The signature of :meth:`Series.to_csv` has been uniformed to that of doc:meth:`DataFrame.to_csv`: the name of the first argument is now 'path_or_buf', the order of subsequent arguments has changed, the 'header' argument now defaults to True. (:issue:`19715`)
- :meth:`Categorical.from_codes` has deprecated providing float values for the ``codes`` argument. (:issue:`21767`)
- :func:`pandas.read_table` is deprecated. Instead, use :func:`pandas.read_csv` passing ``sep='\t'`` if necessary (:issue:`21948`)
- Addition or subtraction of integers with :class:`Timestamp`, :class:`Period`, :class:`DatetimeIndex`, :class:`TimedeltaIndex`, :class:`PeriodIndex` is deprecated, will be removed in a future version (:issue:`21939`)
- Addition or subtraction of integer-dtyped arrays with:class:`DatetimeIndex`, :class:`TimedeltaIndex`, :class:`PeriodIndex` is deprecated, will be removed in a future version (:issue:`21939`)
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space after with


if is_timedelta64_object(other):
other_int = other.astype('timedelta64[ns]').view('i8')
return Timestamp(self.value + other_int,
tz=self.tzinfo, freq=self.freq)

elif is_integer_object(other):
if self.freq is None:
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is it necessary for freq to be none here? (we don't have this check elsewhere)

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Should be not-None, good catch.

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does this need to be changed?

@jreback jreback added Datetime Datetime data dtype Numeric Operations Arithmetic, Comparison, and Logical operations labels Aug 31, 2018
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Will update as indicated. BTW gentle ping re #22350; many upcoming PRs touch those files, so it'd be helpful to get it out of the way.

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I think you can pass a list? (you can to the underlying machinery, so maybe this just works, if not it should)

Doesn't look like it, I'll fix that.

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I think you can pass a list? (you can to the underlying machinery, so maybe this just works, if not it should)

Trying to implement this, I've got most of it working, but can find no combination of stacklevel= parameters that don't cause the "not set with correct stacklevel" assertion to fail. Who is the team expert on this?

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jreback commented Sep 4, 2018

don't worry about checking the stacklevel too much, the idea is to raise it to a reasonable level, e.g. if you run the tests, it should point to the top-level of the code where its most releveant (rather than a lower level call). Just pick something that looks reasonable, and you can turn off the stacklevel check itself.

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pep8speaks commented Sep 5, 2018

Hello @jbrockmendel! Thanks for updating the PR.

Comment last updated on October 15, 2018 at 19:17 Hours UTC

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codecov bot commented Sep 5, 2018

Codecov Report

Merging #22535 into master will decrease coverage by <.01%.
The diff coverage is 81.25%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #22535      +/-   ##
==========================================
- Coverage   92.21%   92.21%   -0.01%     
==========================================
  Files         161      161              
  Lines       51173    51191      +18     
==========================================
+ Hits        47190    47206      +16     
- Misses       3983     3985       +2
Flag Coverage Δ
#multiple 90.65% <81.25%> (-0.01%) ⬇️
#single 42.22% <3.12%> (-0.02%) ⬇️
Impacted Files Coverage Δ
pandas/core/arrays/datetimelike.py 96.16% <100%> (+0.04%) ⬆️
pandas/core/arrays/period.py 97.48% <100%> (ø) ⬆️
pandas/plotting/_converter.py 63.67% <50%> (ø) ⬆️
pandas/core/resample.py 96.99% <75%> (ø) ⬆️
pandas/tseries/offsets.py 97.22% <83.33%> (-0.15%) ⬇️

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@jreback jreback added this to the 0.24.0 milestone Sep 8, 2018

if is_timedelta64_object(other):
other_int = other.astype('timedelta64[ns]').view('i8')
return Timestamp(self.value + other_int,
tz=self.tzinfo, freq=self.freq)

elif is_integer_object(other):
if self.freq is None:
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does this need to be changed?

@@ -556,6 +556,8 @@ Deprecations
- :func:`pandas.read_table` is deprecated. Instead, use :func:`pandas.read_csv` passing ``sep='\t'`` if necessary (:issue:`21948`)
- :meth:`Series.str.cat` has deprecated using arbitrary list-likes *within* list-likes. A list-like container may still contain
many ``Series``, ``Index`` or 1-dimensional ``np.ndarray``, or alternatively, only scalar values. (:issue:`21950`)
- Addition or subtraction of integers with :class:`Timestamp`, :class:`Period`, :class:`DatetimeIndex`, :class:`TimedeltaIndex`, :class:`PeriodIndex` is deprecated, will be removed in a future version (:issue:`21939`)
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pls make a sub-section and show what is being deprecated and what is the alternative. this is actually a rather large change.

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I'll try to get to this tomorrow.

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@jreback just added this section; wasn't sure on where in the doc to put it and the ipython/code-block syntax is a shot in the dark. Please advise.

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need to fix the docs and consolidate the warnings to a single function.

Current Behavior:

.. ipython:: python

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you don't need the ipython line numbers

@@ -1645,6 +1646,13 @@ cdef class _Period(object):
elif other is NaT:
return NaT
elif util.is_integer_object(other):
warnings.warn("Addition of integers to {cls} is "
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can you do this


if is_timedelta64_object(other):
other_int = other.astype('timedelta64[ns]').view('i8')
return Timestamp(self.value + other_int,
tz=self.tzinfo, freq=self.freq)

elif is_integer_object(other):
if self.freq is not None:
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so I would put the warning function in this module and just call it from higher levels

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small change, otherwise lgtm. ping on green.

# ----------------------------------------------------------------------

def int_op_deprecated(obj):
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ok this looks good. can you rename to
``maybe_integer_op_deprecated`

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sure


per = pd.Period('2016Q1')
per + 3 * per.freq

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you might want to show the deprecation warning itself on 1 case here (you will need to add :okwarning: though)

@@ -778,7 +784,7 @@ def _add_delta_tdi(self, other):
assert isinstance(self.freq, Tick) # checked by calling function

delta = self._check_timedeltalike_freq_compat(other)
return self._addsub_int_array(delta, operator.add).asi8
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huh? what are you adding a new kwarg for?

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We still call _addsub_int_array internally from a few places (here and in DateOffset apply_index methods) and want to suppress the warning.

But actually now that the warning is a one-liner, it is less cumbersome to put it directly in __add__/__sub__. Will change.

@@ -1066,14 +1067,16 @@ def test_dti_iadd_int(self, tz_naive_fixture, one):
periods=10, tz=tz)
expected = pd.date_range('2000-01-01 10:00', freq='H',
periods=10, tz=tz)
rng += one
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
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why can't you check the stacklevel anymore?

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We basically never did. I never got the stacklevel checks to pass in any consistent way.

if self.n > 0:
shifted = (i.to_perioddelta('B') - time).asi8 != 0

# Integer-array addition is deprecated, so we use
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this comment is out of date, but can change later

@jreback jreback merged commit a4f9a44 into pandas-dev:master Nov 1, 2018
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jreback commented Nov 1, 2018

thanks @jbrockmendel sometimes they take a lot of iterations :-D

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It's all about the power of Teamwork.

@jbrockmendel jbrockmendel deleted the intops branch November 1, 2018 00:52
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jorisvandenbossche commented Dec 16, 2018

@jbrockmendel what was actually the rationale of deprecating it for Periods as well?
The issue that is closed by this (#21939) discusses it for DatetimeIndex/TimedeltaIndex, but I think says to keep it for PeriodIndex for now.

In any case, for PeriodIndex, this was an explicitly documented behaviour, and the documentation is now no longer up to date.
But instead of updating the docs, I think we should also reconsider the deprecation. Or at least provide a clear alternative way.

(and to be clear: I fully agree with the deprecation for DatetimeIndex / TimedeltaIndex!)

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I think we should also reconsider the deprecation

I'm open to that. The ones I care about are the TS/TD/DTI/TDI

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After commenting here I opened an issue with the same content: #24305. Can you post it there?

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[DISC] DatetimeIndex/TimedeltaIndex ops with integers should deprecated
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