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BUG: fix Series[timedelta64] arithmetic with Timedelta scalars #18831

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Fix Series timedelta64 // timedelta
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jbrockmendel committed Dec 19, 2017
commit 1eab96ff6cf0a26b971b4ba68a3831c1129a0b62
1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.22.0.txt
Original file line number Diff line number Diff line change
Expand Up @@ -346,3 +346,4 @@ Other
^^^^^

- Improved error message when attempting to use a Python keyword as an identifier in a ``numexpr`` backed query (:issue:`18221`)
- Bug in :func:`Series.__floordiv__` and :func:`Series.__rfloordiv__` where operating on a scalar ``timedelta`` raises an exception (:issue:`18824`)
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don't put things in Other. This is conversion. Also note that a floordiv of scalar / Series was incorrect before.

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verify that we have a doc example in timedelta.rst as well.

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Also note that a floordiv of scalar / Series was incorrect before.

Something other than the mention of Series.__rfloordiv__?

5 changes: 3 additions & 2 deletions pandas/core/ops.py
Original file line number Diff line number Diff line change
Expand Up @@ -408,7 +408,7 @@ def _validate(self, lvalues, rvalues, name):

if name not in ('__div__', '__rdiv__', '__truediv__',
'__rtruediv__', '__add__', '__radd__', '__sub__',
'__rsub__'):
'__rsub__', '__floordiv__', '__rfloordiv__'):
raise TypeError("can only operate on a timedeltas for addition"
", subtraction, and division, but the operator"
" [{name}] was passed".format(name=name))
Expand Down Expand Up @@ -594,7 +594,8 @@ def _offset(lvalues, rvalues):
# integer gets converted to timedelta in np < 1.6
if ((self.is_timedelta_lhs and self.is_timedelta_rhs) and
not self.is_integer_rhs and not self.is_integer_lhs and
self.name in ('__div__', '__truediv__')):
self.name in ('__div__', '__truediv__',
'__floordiv__', '__rfloordiv__')):
self.dtype = 'float64'
self.fill_value = np.nan
lvalues = lvalues.astype(np.float64)
Expand Down
6 changes: 4 additions & 2 deletions pandas/tests/series/test_operators.py
Original file line number Diff line number Diff line change
Expand Up @@ -977,15 +977,17 @@ def run_ops(ops, get_ser, test_ser):
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td2 = timedelta(minutes=5, seconds=4)
ops = ['__mul__', '__floordiv__', '__pow__', '__rmul__',
'__rfloordiv__', '__rpow__']
ops = ['__mul__', '__pow__', '__rmul__',
'__rpow__']
run_ops(ops, td1, td2)
td1 + td2
td2 + td1
td1 - td2
td2 - td1
td1 / td2
td2 / td1
tm.assert_series_equal(td1 // td2, Series([0, 0, np.nan]))
tm.assert_series_equal(td2 // td1, Series([1, 1, np.nan]))

# ## datetime64 ###
dt1 = Series([Timestamp('20111230'), Timestamp('20120101'),
Expand Down