Detail: IndexYearGO: Exporter
Overview: IndexYearGO: Exporter
- IndexYearGO.to_html(config=None, style_config=<static_frame.core.style_config.StyleConfig object>)
Return an HTML table representation of this
Index
using standard TABLE, TR, and TD tags. This is not a complete HTML page.- Parameters:
config – Optional
DisplayConfig
instance.- Returns:
str
- IndexYearGO.to_html_datatables(fp=None, *, show=True, config=None)
Return a complete HTML representation of this
Index
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.
- IndexYearGO.to_pandas()
Return a Pandas Index.
>>> ix = sf.IndexYearGO(('1517', '1520', '1518')) >>> ix <IndexYearGO> 1517 1520 1518 <datetime64[Y]> >>> ix.to_pandas() NotImplementedError('Pandas does not support a year type, and it is ambiguous if a date proxy should be the first of the year or the last of the year.')
- IndexYearGO.to_series()
Return a Series with values from this Index’s labels.
>>> ix = sf.IndexYearGO(('1517', '1520', '1518')) >>> ix <IndexYearGO> 1517 1520 1518 <datetime64[Y]> >>> ix.to_series() <Series> <Index> 0 1517 1 1520 2 1518 <int64> <datetime64[Y]>
- IndexYearGO.to_visidata()
Open an interactive VisiData session.
IndexYearGO: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Selector | Iterator | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Regular Expression | Accessor Hashlib | Accessor Type Clinic