Display

`flatbread.output.html.display.PitaDisplayMixin`

Mixin for displaying pandas objects using data-viewer

`configure_display(**kwargs)`

Configure display options for the flatbread-table web component.

Parameters:

Name	Type	Description	Default
`locale`	`str \| None`	Locale string for number and date formatting (e.g. 'en-US', 'nl-NL').	required
`na_rep`	`str`	String to display for null values. Default '-'.	required
`margin_labels`	`set[str]`	Labels to style as margin rows/columns.	required
`collapse_columns`	`bool \| None`	Collapse column headers into the index header row.	required
`max_rows`	`int`	Maximum rows before truncating. Default 30.	required
`max_columns`	`int`	Maximum columns before truncating. Default 30.	required
`trim_size`	`int`	Number of head/tail rows to show when truncated. Default 5.	required
`separator`	`str`	String shown in separator cells. Default '...'.	required
`no_wrap`	`bool`	Prevent text wrapping in cells.	required
`column_border_levels`	`int \| None`	Number of column group levels that get borders.	required
`section_levels`	`int \| None`	Number of index levels to convert into section headers.	required
`hide_group_borders`	`bool`	Hide vertical borders between column groups.	required
`hide_row_borders`	`bool`	Hide horizontal borders between rows.	required
`hide_thead_border`	`bool`	Hide border below the header.	required
`hide_index_border`	`bool`	Hide border between index and data columns.	required
`show_hover`	`bool`	Enable row hover highlighting.	required

Returns:

Type	Description
`Self`	Returns self for method chaining.

Examples:

>>> df.pita.configure_display(locale='en-US', show_hover=True)
>>> df.pita.configure_display(section_levels=1, hide_row_borders=True)

`set_locale(locale)`

Set the locale for number/date formatting

`set_na_rep(na_rep)`

Set null value representation

`set_max_rows(max_rows)`

Set maximum rows before truncating

`set_max_columns(max_columns)`

Set maximum columns before truncating

`set_trim_size(n)`

Set number of items to show when truncated

`set_separator(sep)`

Set truncation indicator

`hide_borders(hide=True)`

Hide all borders

`show_group_borders(show=True)`

Show/hide vertical column borders

`show_row_borders(show=True)`

Show/hide horizontal row borders

`show_header_border(show=True)`

Show/hide header bottom border

`show_index_border(show=True)`

Show/hide index right border

`show_hover(show=True)`

Enable row hover effect

`collapse_columns(collapse=True)`

Collapse column headers

`set_section_levels(levels)`

Set index levels to show as sections

`set_margin_labels(*labels)`

Set labels to be treated as margins

`set_no_wrap(no_wrap=True)`

Enable/disable text wrapping in cells

`set_column_border_levels(levels)`

Set number of column group levels that get borders

`format(key, format_spec)`

Set format options for a column or index level.

Parameters:

Name	Type	Description	Default
`key`	`str`	Column name or index level name to format.	required
`format_spec`	`str \| dict`	Either a preset name (e.g. 'currency') or format options dict.	required

`format_columns(formats)`

Set multiple column formats at once

`get_format_presets(dtype=None)`

Get available format presets, optionally filtered by dtype

`data_spec()`

Get the raw table specification as a dictionary.

Returns:

Type	Description
`dict`	Dictionary containing: - values: 2D array of cell values - columns: dict with values, names, dtypes, formatOptions - index: dict with values, names, dtypes, formatOptions

`get_json()`

Get the table specification as a JSON string.

Returns:

Type	Description
`str`	JSON string containing the complete table specification. The JSON is serialized using the same custom serialization logic used for display, handling pandas-specific types like Timestamps and Intervals.