Detail: IndexHour: Constructor¶

IndexHour.__init__(labels, *, name=<object object>, loc_is_iloc=False)¶

Initializer.

Parameters:

labels – Iterable of hashable values to be used as the index labels. If strings, NumPy datetime conversions will be applied.
name – A hashable object to label the container.

>>> sf.IndexHour(('1517-04-01', '1517-12-31', '1517-06-30'))
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>

classmethod IndexHour.from_labels(labels, *, name=None)¶

Construct an Index from an iterable of labels, where each label is a hashable. Provided for a compatible interface to IndexHierarchy.

>>> sf.IndexHour.from_labels(('1517-04-01', '1517-12-31', '1517-06-30'))
<IndexHour>
1517-04-01T00
1517-12-31T00
1517-06-30T00
<datetime64[h]>

classmethod IndexHour.from_pandas(value)¶

Given a Pandas index, return the appropriate IndexBase derived class.

>>> ix = pd.Index(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> sf.IndexHour.from_pandas(ix)
<Index>
1517-04-01
1517-12-31
1517-06-30
<object>