Detail: IndexMillisecond: Attribute¶
Overview: 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
>>> 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 440 B 440 B 440 B 440 B 440 B 440 B Labels 120 B 136 B 24 B 120 B 136 B 24 B Positions 96 B 112 B 0 B 8.19 KB 136 B 24 B Total 776 B 808 B 584 B 8.85 KB 832 B 608 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
IndexMillisecond: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Regular Expression | Accessor Hashlib