Detail: IndexMillisecond: Attribute#

IndexMillisecond.STATIC = True#

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.STATIC
True

IndexMillisecond.depth = 1#

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.depth
1

IndexMillisecond.dtype#

Return the dtype of the underlying NumPy array.

Returns:: numpy.dtype

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.dtype
datetime64[ms]

IndexMillisecond.index_types#

Return a Series of Index classes for each index depth.

Returns:: Series

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.index_types
<Series>
<Index>
None     <IndexMillisecond>
<object> <object>

IndexMillisecond.memory#

Return a MemoryDisplay, providing the size in memory of this object. For compound containers, component sizes will also be provided. Size can be interpreted through six combinations of three configurations:

L: Local: memory ignoring referenced array data provided via views. LM: Local Materialized: memory where arrays that are locally owned report their byte payload LMD: Local Materialized Data: locally owned memory of arrays byte payloads, excluding all other components

R: Referenced: memory including referenced array data provided via views RM: Referenced Materialized: memory where arrays that are locally owned or referenced report their byte payload RMD: Referenced Materialized Data: localy owned and referenced array byte payloads, excluding all other components

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.memory
          L   Lu    LM  LMu   LMD LMDu  R    Ru    RM  RMu   RMD RMDu
Name      16  B     16  B     16  B     16   B     16  B     16  B
Map       472 B     472 B     472 B     472  B     472 B     472 B
Labels    136 B     152 B     24  B     136  B     152 B     24  B
Positions 112 B     128 B     0   B     8.22 KB    152 B     24  B
Total     844 B     876 B     620 B     8.93 KB    900 B     644 B

IndexMillisecond.mloc#: The memory location, represented as an integer, of the underlying NumPy array.

IndexMillisecond.name#

A hashable label attached to this container.

Returns:: Hashable

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.name

IndexMillisecond.names#

Provide a suitable iterable of names for usage in output formats that require a field name as string for the index.

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.names
('__index0__',)

IndexMillisecond.nbytes#

Return the total bytes of the underlying NumPy array.

Returns:: int

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.nbytes
24

IndexMillisecond.ndim#

Return the number of dimensions.

Returns:: int

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.ndim
1

IndexMillisecond.positions#

Return the immutable positions array.

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.positions
[0 1 2]

IndexMillisecond.shape#

Return a tuple describing the shape of the underlying NumPy array.

Returns:: tp.Tuple[int]

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.shape
(3,)

IndexMillisecond.size#

Return the size of the underlying NumPy array.

Returns:: int

>>> ix = sf.IndexMillisecond(('1517-04-01', '1517-12-31', '1517-06-30'))
>>> ix.size
3