research.value_table

Documentation for eth_defi.research.value_table Python module.

Format key value tables.

Functions

format_grouped_series_as_multi_column_grid(groups)

Render grouped key-value data as multi-column tables with bold headings.

format_series_as_multi_column_grid(series[, ...])

Display
format_grouped_series_as_multi_column_grid(groups, n_cols=2, multi_col_threshold=5, metric_col_width=160, value_col_width=100)

Render grouped key-value data as multi-column tables with bold headings.

Each group becomes its own Metric | Value grid section preceded by a bold heading row spanning all columns. Column headers are hidden, values are right-aligned, and vertical borders separate column pairs.

All columns use fixed pixel widths so that single-column and multi-column sections align consistently.

Sections with multi_col_threshold or fewer items are rendered as a single column (one Metric/Value pair per row). Larger sections use n_cols columns.

Parameters

  • groups (list[tuple[str, pandas.Series]]) – List of (heading, series) tuples. Each heading is rendered as a bold row above the corresponding grid section.

  • n_cols (int) – Number of metric/value pairs per row for large sections.

  • multi_col_threshold (int) – Sections with more items than this use n_cols columns; smaller sections use a single column.

  • metric_col_width (int) – Fixed width in pixels for metric name columns.

  • value_col_width (int) – Fixed width in pixels for value columns.

Returns

HTML string containing all sections.

Return type

str

format_series_as_multi_column_grid(series, n_cols=3)

Display

Parameters

series (pandas.Series) –

Return type

pandas.DataFrame