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# pandas.Panel.to_excel

`Panel.``to_excel`(path, na_rep='', engine=None, **kwargs)

  Write each DataFrame in Panel to a separate excel sheet

  Parameters : | path : string or ExcelWriter object File path or existing ExcelWriter na_rep : string, default ‘’ Missing data representation engine : string, default None write engine to use - you can also set this via the options `io.excel.xlsx.writer`, `io.excel.xls.writer`, and `io.excel.xlsm.writer`.
  Other Parameters:
  | float_format : string, default None Format string for floating point numbers cols : sequence, optional Columns to write header : boolean or list of string, default True Write out column names. If a list of string is given it is assumed to be aliases for the column names index : boolean, default True Write row names (index) index_label : string or sequence, default None Column label for index column(s) if desired. If None is given, and header and index are True, then the index names are used. A sequence should be given if the DataFrame uses MultiIndex. startrow : upper left cell row to dump data frame startcol : upper left cell column to dump data frame

  Notes

  Keyword arguments (and na_rep) are passed to the `to_excel` method for each DataFrame written.

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