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Added the whatsnew entry under 0.22.0, but could possibly go under 0.21.1. This PR is a prereq for #18558.

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let's keep under 0.22

tdi = pd.timedelta_range('0 days', periods=10)
expected = pd.date_range('2017-01-01', periods=10, tz=tz)

result = dti + tdi
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also test a reverse add

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done

tdi = pd.timedelta_range('0 days', periods=10)
expected = pd.date_range('2017-01-01', periods=10, tz=tz, freq='-1D')

result = dti - tdi
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test that the reverse ops raise

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done

@jreback jreback added Bug Timedelta Timedelta data type Datetime Datetime data dtype Timezones Timezone data dtype labels Dec 6, 2017
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codecov bot commented Dec 6, 2017

Codecov Report

Merging #18653 into master will decrease coverage by 0.01%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@ ## master #18653 +/- ## ========================================== - Coverage 91.59% 91.57% -0.02%  ========================================== Files 153 153 Lines 51221 51223 +2 ========================================== - Hits 46917 46909 -8  - Misses 4304 4314 +10
Flag Coverage Δ
#multiple 89.44% <100%> (-0.01%) ⬇️
#single 40.67% <0%> (-0.11%) ⬇️
Impacted Files Coverage Δ
pandas/core/indexes/datetimes.py 95.6% <100%> (-0.09%) ⬇️
pandas/core/indexes/datetimelike.py 97.13% <100%> (ø) ⬆️
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.81% <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 Dec 6, 2017

Codecov Report

Merging #18653 into master will increase coverage by <.01%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@ ## master #18653 +/- ## ========================================== + Coverage 91.57% 91.57% +<.01%  ========================================== Files 153 153 Lines 51210 51212 +2 ========================================== + Hits 46894 46899 +5  + Misses 4316 4313 -3
Flag Coverage Δ
#multiple 89.43% <100%> (+0.02%) ⬆️
#single 40.67% <0%> (-0.11%) ⬇️
Impacted Files Coverage Δ
pandas/core/indexes/datetimelike.py 97.13% <100%> (ø) ⬆️
pandas/core/indexes/datetimes.py 95.68% <100%> (ø) ⬆️
pandas/io/gbq.py 25% <0%> (-58.34%) ⬇️
pandas/core/frame.py 97.81% <0%> (-0.1%) ⬇️
pandas/plotting/_converter.py 65.25% <0%> (+1.81%) ⬆️

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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@jreback jreback added this to the 0.22.0 milestone Dec 7, 2017
@jreback jreback merged commit 15ad542 into pandas-dev:master Dec 7, 2017
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jreback commented Dec 7, 2017

thanks @jschendel

very nice; keep em coming!

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Labels

Bug Datetime Datetime data dtype Timedelta Timedelta data type Timezones Timezone data dtype

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