Detail: IndexNanosecondGO: Operator Binary

Overview: IndexNanosecondGO: Operator Binary

IndexNanosecondGO.__add__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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']

IndexNanosecondGO.__and__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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''")

IndexNanosecondGO.__eq__(other)

Return self==value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__floordiv__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__ge__(other)

Return self>=value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__gt__(other)

Return self>value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__le__(other)

Return self<=value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__lt__(other)

Return self<value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__matmul__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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')

IndexNanosecondGO.__mod__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__mul__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__ne__(other)

Return self!=value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__or__(other)

Return self|value.

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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''")

IndexNanosecondGO.__pow__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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''")

IndexNanosecondGO.__radd__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__rfloordiv__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__rmatmul__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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')

IndexNanosecondGO.__rmul__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__rshift__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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''")

IndexNanosecondGO.__rsub__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]

IndexNanosecondGO.__rtruediv__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__sub__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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']

IndexNanosecondGO.__truediv__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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]')))

IndexNanosecondGO.__xor__(other)

>>> ix = sf.IndexNanosecondGO(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> ix
<IndexNanosecondGO>
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''")

IndexNanosecondGO: 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