Detail: IndexSecondGO: Dictionary-Like

Overview: IndexSecondGO: Dictionary-Like

IndexSecondGO.__contains__(value)

Return True if value in the labels. Will only return True for an exact match to the type of dates stored within.

>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> ix.__contains__('a')
ValueError('Error parsing datetime string "a" at position 0')
>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> ix.__contains__('1517-06-30')
False

IndexSecondGO.__iter__()

Iterate over labels.

>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01T00:00:00'), numpy.datetime64('1517-12-31T00:00:00'), numpy.datetime64('1517-06-30T00:00:00'))
>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01T00:00:00'), numpy.datetime64('1517-12-31T00:00:00'), numpy.datetime64('1517-06-30T00:00:00'))

IndexSecondGO.__reversed__()

Returns a reverse iterator on the index labels.

>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30T00:00:00'), numpy.datetime64('1517-12-31T00:00:00'), numpy.datetime64('1517-04-01T00:00:00'))
>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30T00:00:00'), numpy.datetime64('1517-12-31T00:00:00'), numpy.datetime64('1517-04-01T00:00:00'))

IndexSecondGO.values

A 1D NumPy array of the values in the Index. This array will have the same dtype as the container.

>>> ix = sf.IndexSecondGO(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix
<IndexSecondGO>
1517-04-01T00:00:00
1517-12-31T00:00:00
1517-06-30T00:00:00
<datetime64[s]>
>>> ix.values_at_depth(0)
['1517-04-01T00:00:00' '1517-12-31T00:00:00' '1517-06-30T00:00:00']

IndexSecondGO: 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