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superset2/docs/developer_docs_versioned_docs/version-6.1.0/api/schemas/chartdatapivotoptionsschema.Schema.json
Superset Dev 752ebd47cb docs: cut 6.1.0 versions for docs, admin_docs, developer_docs, components
- Snapshot all four versioned docs sections at v6.1.0; master continues to
  serve as "Next" (lastVersion: current, banner: unreleased) so editing
  master keeps updating the canonical URLs
- Enable the previously-disabled components plugin and version it
- Rename stale "developer_portal" references to "developer_docs" across
  package.json scripts, manage-versions.mjs, theme files (DocVersionBadge,
  DocVersionBanner), DOCS_CLAUDE.md, and README.md (URL backward-compat
  redirect /developer_portal/* preserved)
- Add admin_docs version scripts; drop dead "tutorials" plugin id from
  the version badge
- Generalize fixVersionedImports in manage-versions.mjs to walk every
  section's snapshot and rewrite ../../src/ and ../../data/ imports,
  catching admin_docs and components files that previous version cuts
  would have broken
- Remove orphan files: developer_portal_versions.json,
  tutorials_versions.json, and stray empty versions.json files inside
  components/ and developer_docs/ content directories
2026-05-02 11:53:56 -07:00

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{"schema":{"properties":{"aggregates":{"description":"The keys are the name of the aggregate column to be created, and the values specify the details of how to apply the aggregation. If an operator requires additional options, these can be passed here to be unpacked in the operator call. The following numpy operators are supported: average, argmin, argmax, cumsum, cumprod, max, mean, median, nansum, nanmin, nanmax, nanmean, nanmedian, min, percentile, prod, product, std, sum, var. Any options required by the operator can be passed to the `options` object.\n\nIn the example, a new column `first_quantile` is created based on values in the column `my_col` using the `percentile` operator with the `q=0.25` parameter.","example":{"first_quantile":{"column":"my_col","operator":"percentile","options":{"q":0.25}}},"type":"object"},"column_fill_value":{"description":"Value to replace missing pivot columns names with.","type":"string"},"columns":{"description":"Columns to group by on the table columns","items":{"type":"string"},"type":"array"},"drop_missing_columns":{"description":"Do not include columns whose entries are all missing (default: `true`).","type":"boolean"},"marginal_distribution_name":{"description":"Name of marginal distribution row/column. (default: `All`)","type":"string"},"marginal_distributions":{"description":"Add totals for row/column. (default: `false`)","type":"boolean"},"metric_fill_value":{"description":"Value to replace missing values with in aggregate calculations.","type":"number"}},"type":"object","title":"ChartDataPivotOptionsSchema"},"schemaType":"response"}