Detail: IndexYear: Operator Binary

IndexYear.__add__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix + 2
['1519' '1522' '1520']

IndexYear.__and__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> 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''")

IndexYear.__eq__(other)

Return self==value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix == '1518'
[False False  True]

IndexYear.__floordiv__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix // '1518'
UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__ge__(other)

Return self>=value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix >= '1518'
[False  True  True]

IndexYear.__gt__(other)

Return self>value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix > '1518'
[False  True False]

IndexYear.__le__(other)

Return self<=value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix <= '1518'
[ True False  True]

IndexYear.__lt__(other)

Return self<value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix < '1518'
[ True False False]

IndexYear.__matmul__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix @ (3, 0, 4, 0)
NotImplementedError('matrix multiplication not supported')

IndexYear.__mod__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix % '1518'
UFuncTypeError(<ufunc 'remainder'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__mul__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix * '1518'
UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__ne__(other)

Return self!=value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix != '1518'
[ True  True False]

IndexYear.__or__(other)

Return self|value.

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> 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''")

IndexYear.__pow__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix ** '1518'
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''")

IndexYear.__radd__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> '1518' + ix
UFuncTypeError(<ufunc 'add'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__rfloordiv__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> '1518' // ix
UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__rmatmul__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix @ (3, 0, 4, 0)
NotImplementedError('matrix multiplication not supported')

IndexYear.__rmul__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> '1518' * ix
UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__rshift__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> 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''")

IndexYear.__rsub__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> '1518' - ix
[ 1 -2  0]

IndexYear.__rtruediv__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> '1518' / ix
UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__sub__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix - 2
['1515' '1518' '1516']

IndexYear.__truediv__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> ix / '1518'
UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[Y]'), dtype('<M8[Y]')))

IndexYear.__xor__(other)

>>> ix = sf.IndexYear(('1517', '1520', '1518'))
>>> ix
<IndexYear>
1517
1520
1518
<datetime64[Y]>
>>> 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''")