Detail: SeriesHE: Exporter¶

Overview: SeriesHE: Exporter

SeriesHE.to_frame(axis=1, *, index=None, index_constructor=None, columns=None, columns_constructor=None, name=<object object>)¶

Return a Frame view of this Series. As underlying data is immutable, this is a no-copy operation.

Parameters

axis – Axis 1 (default) creates a single-column Frame with the same index: axis 0 creates a single-row Frame with the index as columns.
*, –
index_constructor –
columns_constructor –

Returns

Frame

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.to_frame()
<Frame>
<Index> 0       <int64>
<Index>
a       10
b       2
c       8
<<U1>   <int64>

SeriesHE.to_frame_go(axis=1, *, index=None, index_constructor=None, columns=None, columns_constructor=None, name=<object object>)¶

Return FrameGO view of this Series. As underlying data is immutable, this is a no-copy operation.

Parameters

axis –
*, –
index_constructor –
columns_constructor –

Returns

FrameGO

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.to_frame_go()
<FrameGO>
<IndexGO> 0       <int64>
<Index>
a         10
b         2
c         8
<<U1>     <int64>

SeriesHE.to_frame_he(axis=1, *, index=None, index_constructor=None, columns=None, columns_constructor=None, name=<object object>)¶

Return FrameHE view of this Series. As underlying data is immutable, this is a no-copy operation.

Parameters

axis –
*, –
index_constructor –
columns_constructor –

Returns

FrameHE

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.to_frame_he()
<FrameHE>
<Index>   0       <int64>
<Index>
a         10
b         2
c         8
<<U1>     <int64>

SeriesHE.to_html(config=None, style_config=<static_frame.core.style_config.StyleConfig object>)¶

Return an HTML table representation of this Series using standard TABLE, TR, and TD tags. This is not a complete HTML page.

Parameters: config – Optional DisplayConfig instance.
Returns: str

SeriesHE.to_html_datatables(fp=None, show=True, config=None)¶

Return a complete HTML representation of this Series using the DataTables JS library for table naviagation and search. The page links to CDNs for JS resources, and thus will not fully render without an internet connection.

Parameters

fp – optional file path to write; if not provided, a temporary file will be created. Note: the caller is responsible for deleting this file.
show – if True, the file will be opened with a webbrowser.
config – Optional DisplayConfig instance.

Returns

str, absolute file path to the file written.

SeriesHE.to_pairs()¶

Return a tuple of tuples, where each inner tuple is a pair of index label, value.

Returns: tp.Iterable[tp.Tuple[tp.Hashable, tp.Any]]

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

SeriesHE.to_pandas()¶

Return a Pandas Series.

Returns: pandas.Series

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

SeriesHE.to_series()[source]¶

Return a Series from this SeriesHE.

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.to_series()
<Series>
<Index>
a        10
b        2
c        8
<<U1>    <int64>

SeriesHE.to_series_he()¶

Return a SeriesHE from this Series.

>>> s = sf.SeriesHE((10, 2, 8), index=('a', 'b', 'c'))
>>> s.to_series_he()
<SeriesHE>
<Index>
a          10
b          2
c          8
<<U1>      <int64>

SeriesHE.to_visidata()¶: Open an interactive VisiData session.