Detail: IndexMicrosecondGO: Dictionary-Like
Overview: IndexMicrosecondGO: Dictionary-Like
- IndexMicrosecondGO.__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.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> ix.__contains__('a') ValueError('Error parsing datetime string "a" at position 0') >>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> ix.__contains__('1517-06-30') False
- IndexMicrosecondGO.__iter__()
Iterate over labels.
>>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> tuple(ix.__iter__()) (numpy.datetime64('1517-04-01T00:00:00.000000'), numpy.datetime64('1517-12-31T00:00:00.000000'), numpy.datetime64('1517-06-30T00:00:00.000000')) >>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> tuple(ix.__iter__()) (numpy.datetime64('1517-04-01T00:00:00.000000'), numpy.datetime64('1517-12-31T00:00:00.000000'), numpy.datetime64('1517-06-30T00:00:00.000000'))
- IndexMicrosecondGO.__reversed__()
Returns a reverse iterator on the index labels.
>>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> tuple(ix.__reversed__()) (numpy.datetime64('1517-06-30T00:00:00.000000'), numpy.datetime64('1517-12-31T00:00:00.000000'), numpy.datetime64('1517-04-01T00:00:00.000000')) >>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> tuple(ix.__reversed__()) (numpy.datetime64('1517-06-30T00:00:00.000000'), numpy.datetime64('1517-12-31T00:00:00.000000'), numpy.datetime64('1517-04-01T00:00:00.000000'))
- IndexMicrosecondGO.values
A 1D NumPy array of the values in the
Index
. This array will have the same dtype as the container.>>> ix = sf.IndexMicrosecondGO(('1517-04-01', '1517-12-31', '1517-06-30')) >>> ix <IndexMicrosecondGO> 1517-04-01T00:00:00.000000 1517-12-31T00:00:00.000000 1517-06-30T00:00:00.000000 <datetime64[us]> >>> ix.values_at_depth(0) ['1517-04-01T00:00:00.000000' '1517-12-31T00:00:00.000000' '1517-06-30T00:00:00.000000']
IndexMicrosecondGO: 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