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DatetimeDatetime data dtypeDatetime data dtypeDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsNumeric OperationsArithmetic, Comparison, and Logical operationsArithmetic, Comparison, and Logical operationsPeriodPeriod data typePeriod data type
Description
First two examples pass, third example doesn't.
# GH 4629
# arithmetic datetime64 ops with an index
s = Series(date_range('20130101',periods=5),index=date_range('20130101',periods=5))
expected = s-s.index.to_series()
result = s-s.index
assert_series_equal(result,expected)
result = s-s.index.to_period()
assert_series_equal(result,expected)
result2 = s.index.to_period() - s
expected2 = s.index.to_series() - s
assert_series_equal(result2, expected2)
Traceback:
/usr/local/bin/vim +2583 pandas/tests/test_series.py # test_datetime64_with_index
result2 = s.index.to_period() - s
/usr/local/bin/vim +873 pandas/tseries/period.py # __sub__
return PeriodIndex(ordinal=self.values - other, freq=self.freq)
TypeError: ufunc subtract cannot use operands with types dtype('int64') and dtype('<M8[ns]')
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DatetimeDatetime data dtypeDatetime data dtypeDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsNumeric OperationsArithmetic, Comparison, and Logical operationsArithmetic, Comparison, and Logical operationsPeriodPeriod data typePeriod data type