Detail: IndexNanosecond: Operator Unary

Overview: IndexNanosecond: Operator Unary

IndexNanosecond.__abs__()

>>> ix = sf.IndexNanosecond(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>
>>> abs(ix)
UFuncTypeError(<ufunc 'absolute'>, (<class 'numpy.dtypes.DateTime64DType'>, None))

IndexNanosecond.__invert__()

>>> ix = sf.IndexNanosecond(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>
>>> ~ix
TypeError("ufunc 'invert' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''")

IndexNanosecond.__neg__()

>>> ix = sf.IndexNanosecond(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>
>>> -ix
UFuncTypeError(<ufunc 'negative'>, (<class 'numpy.dtypes.DateTime64DType'>, None))

IndexNanosecond.__pos__()

>>> ix = sf.IndexNanosecond(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>
>>> +ix
UFuncTypeError(<ufunc 'positive'>, (<class 'numpy.dtypes.DateTime64DType'>, None))

IndexNanosecond: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Regular Expression | Accessor Hashlib | Accessor Type Clinic