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# pandas.io.formats.style.Styler.concat

Styler.concat(other)

  Append another Styler to combine the output into a single table.

  Added in version 1.5.0.

  Parameters:
    other Styler

      The other Styler object which has already been styled and formatted. The data for this Styler must have the same columns as the original, and the number of index levels must also be the same to render correctly.

  Returns:
    Styler

  Notes

  The purpose of this method is to extend existing styled dataframes with other metrics that may be useful but may not conform to the original’s structure. For example adding a sub total row, or displaying metrics such as means, variance or counts.

  Styles that are applied using the `apply`, `map`, `apply_index` and `map_index`, and formatting applied with `format` and `format_index` will be preserved.

  Warning

  Only the output methods `to_html`, `to_string` and `to_latex` currently work with concatenated Stylers.

  Other output methods, including `to_excel`, do not work with concatenated Stylers.

  The following should be noted:

  > - `table_styles`, `table_attributes`, `caption` and `uuid` are all inherited from the original Styler and not `other`.

  > - hidden columns and hidden index levels will be inherited from the original Styler

  > - `css` will be inherited from the original Styler, and the value of keys `data`, `row_heading` and `row` will be prepended with `foot0_`. If more concats are chained, their styles will be prepended with `foot1_`, ‘’foot_2’’, etc., and if a concatenated style have another concatanated style, the second style will be prepended with `foot{parent}_foot{child}_`.

  A common use case is to concatenate user defined functions with `DataFrame.agg` or with described statistics via `DataFrame.describe`. See examples.

  Examples

  A common use case is adding totals rows, or otherwise, via methods calculated in `DataFrame.agg`.

      >>> df = pd.DataFrame([[4, 6], [1, 9], [3, 4], [5, 5], [9, 6]],
      ...                   columns=["Mike", "Jim"],
      ...                   index=["Mon", "Tue", "Wed", "Thurs", "Fri"])
      >>> styler = df.style.concat(df.agg(["sum"]).style)

  Since the concatenated object is a Styler the existing functionality can be used to conditionally format it as well as the original.

      >>> descriptors = df.agg(["sum", "mean", lambda s: s.dtype])
      >>> descriptors.index = ["Total", "Average", "dtype"]
      >>> other = (descriptors.style
      ...          .highlight_max(axis=1, subset=(["Total", "Average"], slice(None)))
      ...          .format(subset=("Average", slice(None)), precision=2, decimal=",")
      ...          .map(lambda v: "font-weight: bold;"))
      >>> styler = (df.style
      ...             .highlight_max(color="salmon")
      ...             .set_table_styles([{"selector": ".foot_row0",
      ...                                 "props": "border-top: 1px solid black;"}]))
      >>> styler.concat(other)

  When `other` has fewer index levels than the original Styler it is possible to extend the index in `other`, with placeholder levels.

      >>> df = pd.DataFrame([[1], [2]],
      ...                   index=pd.MultiIndex.from_product([[0], [1, 2]]))
      >>> descriptors = df.agg(["sum"])
      >>> descriptors.index = pd.MultiIndex.from_product([[""], descriptors.index])
      >>> df.style.concat(descriptors.style)