Detail: IndexNanosecond: Operator Binary
Overview: IndexNanosecond: Operator Binary
- IndexNanosecond.__add__(other)
>>> 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 + 2 ['1789-05-05T00:00:00.000000002' '1789-12-31T00:00:00.000000002' '1799-11-09T00:00:00.000000002']
- IndexNanosecond.__and__(other)
>>> 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 & True TypeError("ufunc 'bitwise_and' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''") >>> ix & (False, True) TypeError("ufunc 'bitwise_and' 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.__eq__(other)
Return self==value.
>>> 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 == '1789-05-05' [ True False False]
- IndexNanosecond.__floordiv__(other)
>>> 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 // '1789-05-05' UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__ge__(other)
Return self>=value.
>>> 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 >= '1789-05-05' [ True True True]
- IndexNanosecond.__gt__(other)
Return self>value.
>>> 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 > '1789-05-05' [False True True]
- IndexNanosecond.__le__(other)
Return self<=value.
>>> 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 <= '1789-05-05' [ True False False]
- IndexNanosecond.__lt__(other)
Return self<value.
>>> 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 < '1789-05-05' [False False False]
- IndexNanosecond.__matmul__(other)
>>> 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 @ (3, 0, 4, 0) NotImplementedError('matrix multiplication not supported')
- IndexNanosecond.__mod__(other)
>>> 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 % '1789-05-05' UFuncTypeError(<ufunc 'remainder'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__mul__(other)
>>> 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 * '1789-05-05' UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__ne__(other)
Return self!=value.
>>> 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 != '1789-05-05' [False True True]
- IndexNanosecond.__or__(other)
Return self|value.
>>> 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 | True TypeError("ufunc 'bitwise_or' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''") >>> ix | (False, True) TypeError("ufunc 'bitwise_or' 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.__pow__(other)
>>> 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 ** '1789-05-05' TypeError("ufunc 'power' 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.__radd__(other)
>>> 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]> >>> '1789-05-05' + ix UFuncTypeError(<ufunc 'add'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__rfloordiv__(other)
>>> 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]> >>> '1789-05-05' // ix UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__rmatmul__(other)
>>> 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 @ (3, 0, 4, 0) NotImplementedError('matrix multiplication not supported')
- IndexNanosecond.__rmul__(other)
>>> 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]> >>> '1789-05-05' * ix UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__rshift__(other)
>>> 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 >> 1 TypeError("ufunc 'right_shift' 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.__rsub__(other)
>>> 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]> >>> '1789-05-05' - ix [ 0 -240 -3840]
- IndexNanosecond.__rtruediv__(other)
>>> 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]> >>> '1789-05-05' / ix UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__sub__(other)
>>> 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 - 2 ['1789-05-04T23:59:59.999999998' '1789-12-30T23:59:59.999999998' '1799-11-08T23:59:59.999999998']
- IndexNanosecond.__truediv__(other)
>>> 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 / '1789-05-05' UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))
- IndexNanosecond.__xor__(other)
>>> 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 ^ True TypeError("ufunc 'bitwise_xor' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''") >>> ix ^ (False, True) TypeError("ufunc 'bitwise_xor' 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: 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