Detail: IndexNanosecondGO: Dictionary-Like

Overview: IndexNanosecondGO: Dictionary-Like

IndexNanosecondGO.__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.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.__contains__('a')
ValueError('Error parsing datetime string "a" at position 0')
>>> 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.__contains__('1789-05-05')
False

IndexNanosecondGO.__iter__()

Iterate over labels.

>>> 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]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1789-05-05T00:00:00.000000000'), numpy.datetime64('1789-12-31T00:00:00.000000000'), numpy.datetime64('1799-11-09T00:00:00.000000000'))
>>> 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]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1789-05-05T00:00:00.000000000'), numpy.datetime64('1789-12-31T00:00:00.000000000'), numpy.datetime64('1799-11-09T00:00:00.000000000'))

IndexNanosecondGO.__reversed__()

Returns a reverse iterator on the index labels.

>>> 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]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1799-11-09T00:00:00.000000000'), numpy.datetime64('1789-12-31T00:00:00.000000000'), numpy.datetime64('1789-05-05T00:00:00.000000000'))
>>> 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]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1799-11-09T00:00:00.000000000'), numpy.datetime64('1789-12-31T00:00:00.000000000'), numpy.datetime64('1789-05-05T00:00:00.000000000'))

IndexNanosecondGO.values

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

>>> 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.values_at_depth(0)
['1789-05-05T00:00:00.000000000' '1789-12-31T00:00:00.000000000'
 '1799-11-09T00:00:00.000000000']