Detail: IndexDateGO: Dictionary-Like

IndexDateGO.__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.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> ix.__contains__('a')
False
>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> ix.__contains__('1517-06-30')
True

IndexDateGO.__iter__()

Iterate over labels.

>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01'), numpy.datetime64('1517-12-01'), numpy.datetime64('1517-06-30'))
>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01'), numpy.datetime64('1517-12-01'), numpy.datetime64('1517-06-30'))

IndexDateGO.__reversed__()

Returns a reverse iterator on the index labels.

>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30'), numpy.datetime64('1517-12-01'), numpy.datetime64('1517-04-01'))
>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30'), numpy.datetime64('1517-12-01'), numpy.datetime64('1517-04-01'))

IndexDateGO.values

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

>>> ix = sf.IndexDateGO(('1517-04-01', '1517-12', '1517-06-30'))
>>> ix
<IndexDateGO>
1517-04-01
1517-12-01
1517-06-30
<datetime64[D]>
>>> ix.values_at_depth(0)
['1517-04-01' '1517-12-01' '1517-06-30']