Detail: IndexNanosecond: Constructor

IndexNanosecond.__init__(labels, *, loc_is_iloc=False, name=<object object>)

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.IndexNanosecond(('1789-05-05', '1789-12-31', '1799-11-09'))
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>

classmethod IndexNanosecond.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.IndexNanosecond.from_labels(('1789-05-05', '1789-12-31', '1799-11-09'))
<IndexNanosecond>
1789-05-05T00:00:00.000000000
1789-12-31T00:00:00.000000000
1799-11-09T00:00:00.000000000
<datetime64[ns]>

classmethod IndexNanosecond.from_pandas(value)

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

>>> ix = pd.Index(('1789-05-05', '1789-12-31', '1799-11-09'))
>>> sf.IndexNanosecond.from_pandas(ix)
<Index>
1789-05-05
1789-12-31
1799-11-09
<object>