> For the complete documentation index, see [llms.txt](https://docs-v3.toucantoco.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-v3.toucantoco.com/data-management-in-datahub/datasets-in-toucan/preparing-data/overview-of-youprep-tm/reshape/pivot.md). # Pivot The Pivot step The Pivot step allows to transform rows into columns. It is the reverse operation of an `unpivot` step. Pivoting a column into several columns means that every unique label found in that column becomes a column header. The column gets pivoted “around” fixed columns that you can specify. You also need to specify a value column where values will be found to fill pivoted columns. If aggregation needs to be performed, you can choose the aggregation function (`sum` by default). ### Step parameters * `Keep columns...`: the columns to remain fixed, around which the pivot will occur * `Pivot column...`: the column to be pivoted * `Use values in...`: the columns where values are found to fill the pivoted columns * `Aggregate values using...`: the aggregation function to be used when aggregation has to be performed ### Example **Input**

Reshape - pivot input

**Configuration** ```json { "index": ["Label"], "column_to_pivot": "Country", "value_column": "Value", "aggfunction": "sum" } ``` **Output**

Reshape - pivot output

--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs-v3.toucantoco.com/data-management-in-datahub/datasets-in-toucan/preparing-data/overview-of-youprep-tm/reshape/pivot.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.