Detail: SeriesHE: Attribute¶

SeriesHE.STATIC = True¶

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.STATIC
True

SeriesHE.T¶

Transpose. For a 1D immutable container, this returns a reference to self.

Returns: Series

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.T
<SeriesHE>
<Index>
a          10
b          2
c          8
<<U1>      <int64>

SeriesHE.dtype¶

Return the dtype of the underlying NumPy array.

Returns: numpy.dtype

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.dtype
int64

SeriesHE.index¶

The index instance assigned to this container.

Returns: static_frame.Index

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.index
<Index>
a
b
c
<<U1>

SeriesHE.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

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.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
Index  756 B     788 B     564 B     8.83 KB    812  B     588 B
Values 120 B     136 B     24  B     120  B     136  B     24  B
Total  940 B     988 B     652 B     9.01 KB    1012 B     676 B

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

SeriesHE.name¶

A hashable label attached to this container.

Returns: Hashable

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.name

SeriesHE.nbytes¶

Return the total bytes of the underlying NumPy array.

Returns: int

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.nbytes
24

SeriesHE.ndim¶

Return the number of dimensions, which for a Series is always 1.

Returns: int

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.ndim
1

SeriesHE.shape¶

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

Returns: Tuple[int]

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.shape
(3,)

SeriesHE.size¶

Return the size of the underlying NumPy array.

Returns: int

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.size
3