Detail: IndexYearMonth: Dictionary-Like

Overview: IndexYearMonth: Dictionary-Like

IndexYearMonth.__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.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> ix.__contains__('a')
ValueError('Error parsing datetime string "a" at position 0')
>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> ix.__contains__('1517-06')
True

IndexYearMonth.__iter__()

Iterate over labels.

>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04'), numpy.datetime64('1517-12'), numpy.datetime64('1517-06'))
>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04'), numpy.datetime64('1517-12'), numpy.datetime64('1517-06'))

IndexYearMonth.__reversed__()

Returns a reverse iterator on the index labels.

>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06'), numpy.datetime64('1517-12'), numpy.datetime64('1517-04'))
>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06'), numpy.datetime64('1517-12'), numpy.datetime64('1517-04'))

IndexYearMonth.values

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

>>> ix = sf.IndexYearMonth(('1517-04', '1517-12', '1517-06'))
>>> ix
<IndexYearMonth>
1517-04
1517-12
1517-06
<datetime64[M]>
>>> ix.values_at_depth(0)
['1517-04' '1517-12' '1517-06']