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  800  B     832  B     576 B     8.89 KB    856  B     600 B
Values 136  B     152  B     24  B     136  B     152  B     24  B
Total  1000 B     1.02 KB    664 B     9.09 KB    1.05 KB    688 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