Detail: IndexHour: Dictionary-Like

Overview: IndexHour: Dictionary-Like

IndexHour.__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.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.__contains__('a')
ValueError('Error parsing datetime string "a" at position 0')
>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.__contains__('1517-06-30')
False
IndexHour.__iter__()

Iterate over labels.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01T00','h'), numpy.datetime64('1517-12-31T00','h'), numpy.datetime64('1517-06-30T00','h'))
>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> tuple(ix.__iter__())
(numpy.datetime64('1517-04-01T00','h'), numpy.datetime64('1517-12-31T00','h'), numpy.datetime64('1517-06-30T00','h'))
IndexHour.__reversed__()

Returns a reverse iterator on the index labels.

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30T00','h'), numpy.datetime64('1517-12-31T00','h'), numpy.datetime64('1517-04-01T00','h'))
>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> tuple(ix.__reversed__())
(numpy.datetime64('1517-06-30T00','h'), numpy.datetime64('1517-12-31T00','h'), numpy.datetime64('1517-04-01T00','h'))
IndexHour.values

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

>>> ix = sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.values_at_depth(0)
['1517-04-01T00' '1517-12-31T00' '1517-06-30T00']

IndexHour: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Regular Expression