Signature:
df.to_excel(
['excel_writer', "sheet_name='Sheet1'", "na_rep=''", 'float_format=None', 'columns=None', 'header=True', 'index=True', 'index_label=None', 'startrow=0', 'startcol=0', 'engine=None', 'merge_cells=True', 'encoding=None', "inf_rep='inf'", 'verbose=True', 'freeze_panes=None'],
)
Docstring:
Write DataFrame to an excel sheet
Parameters
----------
excel_writer : string or ExcelWriter object
File path or existing ExcelWriter
sheet_name : string, default 'Sheet1'
Name of sheet which will contain DataFrame
na_rep : string, default ''
Missing data representation
float_format : string, default None
Format string for floating point numbers
columns : sequence, optional
Columns to write
header : boolean or list of string, default True
Write out the column names. If a list of strings 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
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``.
merge_cells : boolean, default True
Write MultiIndex and Hierarchical Rows as merged cells.
encoding: string, default None
encoding of the resulting excel file. Only necessary for xlwt,
other writers support unicode natively.
inf_rep : string, default 'inf'
Representation for infinity (there is no native representation for
infinity in Excel)
freeze_panes : tuple of integer (length 2), default None
Specifies the one-based bottommost row and rightmost column that
is to be frozen
.. versionadded:: 0.20.0
Notes
-----
If passing an existing ExcelWriter object, then the sheet will be added
to the existing workbook. This can be used to save different
DataFrames to one workbook:
>>> writer = pd.ExcelWriter('output.xlsx')
>>> df1.to_excel(writer,'Sheet1')
>>> df2.to_excel(writer,'Sheet2')
>>> writer.save()
For compatibility with to_csv, to_excel serializes lists and dicts to
strings before writing.
File: c:\users\lenovo\anaconda3\lib\site-packages\pandas\core\frame.py
Type: method
