Table Transposer

Transposes the entire input table by swapping rows and columns. The new column names are provided by the former (old) RowIDs and the new row identifiers are the former (old) column names. The new column type is the most specific base type and applies to all cells in one row.

Options

Chunk size configuration

• Automatic: Use a dynamic chunk size that adapts to the current memory available. The number of columns read will be maximized for performance.
• Manual: Manually specify the number of columns read during one iteration over the table. Larger chunk sizes lead to more memory consumption, but yield faster execution time.

Columns per chunk

The number of columns read during one iteration over the table. Increasing this value yields faster execution time, but also increases memory consumption.

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Workflows

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Links

• rotate a datablockby tommy on 2020-01-21

  forum.knime.com/p/79325
• Creating column names with XPATH Nodeby armingrudd on 2019-05-07

  forum.knime.com/p/60125
• Deal with odd & even rows separatelyby armingrudd on 2019-10-08

  forum.knime.com/p/71856
• Data Transformation [Rows to Columns and Columns to Rows]by izaychik63 on 2019-08-12

  forum.knime.com/p/67665
• Perform calculation from values of the first table to the values on the second tableby izaychik63 on 2019-07-04

  forum.knime.com/p/64455
• Show all 11 links

Developers