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API: Series/DTIndex arithmetic with timedeltas and offsets should work the same #4134

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hayd opened this issue Jul 5, 2013 · 0 comments · Fixed by #4534
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API: Series/DTIndex arithmetic with timedeltas and offsets should work the same #4134

hayd opened this issue Jul 5, 2013 · 0 comments · Fixed by #4534
Labels
API Design Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves Timedelta Timedelta data type
Milestone
0.13

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@hayd
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hayd commented Jul 5, 2013

from stack: http://stackoverflow.com/questions/17491446/wrong-result-from-timedelta-operation/17492653#17492653

In [101]: rng = pd.date_range('2013', '2014')

In [102]: rng
Out[102]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-07-05 00:00:00, ..., 2014-07-05 00:00:00]
Length: 366, Freq: D, Timezone: None

In [103]: s = pd.Series(rng)

These work

In [105]: rng - pd.offsets.Hour(1)
Out[105]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-07-04 23:00:00, ..., 2014-07-04 23:00:00]
Length: 366, Freq: D, Timezone: None

In [106]: s - np.timedelta64(100000000)

but the other way around doesn't.

In [107]: rng - np.timedelta64(100000000)
NotImplementedError:

In [108]: s - pd.offsets.Hour(1)
ValueError: cannot operate on a series with out a rhs of a series/ndarray of type datetime64[ns] or a timedelta

cc #3009.
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Labels
API Design Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves Timedelta Timedelta data type
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Milestone
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BUG/API: Fix operating with timedelta64/pd.offsets on rhs of a datelike series/index jreback/pandas
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@hayd