Detail: IndexHour: Operator Binary

Overview: IndexHour: Operator Binary

IndexHour.__add__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix + 2
['1517-04-01T02' '1517-12-31T02' '1517-06-30T02']

IndexHour.__and__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> 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''")

IndexHour.__eq__(other)

Return self==value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix == '1517-06-30'
[False False  True]

IndexHour.__floordiv__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix // '1517-06-30'
UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__ge__(other)

Return self>=value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix >= '1517-06-30'
[False  True  True]

IndexHour.__gt__(other)

Return self>value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix > '1517-06-30'
[False  True False]

IndexHour.__le__(other)

Return self<=value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix <= '1517-06-30'
[ True False  True]

IndexHour.__lt__(other)

Return self<value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix < '1517-06-30'
[ True False False]

IndexHour.__matmul__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix @ (3, 0, 4, 0)
NotImplementedError('matrix multiplication not supported')

IndexHour.__mod__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix % '1517-06-30'
UFuncTypeError(<ufunc 'remainder'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__mul__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix * '1517-06-30'
UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__ne__(other)

Return self!=value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix != '1517-06-30'
[ True  True False]

IndexHour.__or__(other)

Return self|value.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> 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''")

IndexHour.__pow__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix ** '1517-06-30'
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''")

IndexHour.__radd__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> '1517-06-30' + ix
UFuncTypeError(<ufunc 'add'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__rfloordiv__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> '1517-06-30' // ix
UFuncTypeError(<ufunc 'floor_divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__rmatmul__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix @ (3, 0, 4, 0)
NotImplementedError('matrix multiplication not supported')

IndexHour.__rmul__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> '1517-06-30' * ix
UFuncTypeError(<ufunc 'multiply'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__rshift__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> 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''")

IndexHour.__rsub__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> '1517-06-30' - ix
[  90 -184    0]

IndexHour.__rtruediv__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> '1517-06-30' / ix
UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__sub__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix - 2
['1517-03-31T22' '1517-12-30T22' '1517-06-29T22']

IndexHour.__truediv__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> ix / '1517-06-30'
UFuncTypeError(<ufunc 'divide'>, (dtype('<M8[D]'), dtype('<M8[D]')))

IndexHour.__xor__(other)

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>
>>> 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''")

IndexHour: 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