pandas.ExcelWriter#

class pandas.ExcelWriter(path, engine=None, date_format=None, datetime_format=None, mode='w', storage_options=None, if_sheet_exists=None, engine_kwargs=None)[source]#

Class for writing DataFrame objects into excel sheets.

Default is to use:

xlsxwriter for xlsx files if xlsxwriter is installed otherwise openpyxl
odswriter for ods files

See DataFrame.to_excel for typical usage.

The writer should be used as a context manager. Otherwise, call close() to save and close any opened file handles.

Parameters

pathstr or typing.BinaryIO

Path to xls or xlsx or ods file.

enginestr (optional)

Engine to use for writing. If None, defaults to io.excel.<extension>.writer. NOTE: can only be passed as a keyword argument.

date_formatstr, default None

Format string for dates written into Excel files (e.g. ‘YYYY-MM-DD’).

datetime_formatstr, default None

Format string for datetime objects written into Excel files. (e.g. ‘YYYY-MM-DD HH:MM:SS’).

mode{‘w’, ‘a’}, default ‘w’

File mode to use (write or append). Append does not work with fsspec URLs.

storage_optionsdict, optional

Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib.request.Request as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec.open. Please see fsspec and urllib for more details, and for more examples on storage options refer here.

New in version 1.2.0.

if_sheet_exists{‘error’, ‘new’, ‘replace’, ‘overlay’}, default ‘error’

How to behave when trying to write to a sheet that already exists (append mode only).

error: raise a ValueError.
new: Create a new sheet, with a name determined by the engine.
replace: Delete the contents of the sheet before writing to it.
overlay: Write contents to the existing sheet without removing the old contents.

New in version 1.3.0.

Changed in version 1.4.0: Added overlay option

engine_kwargsdict, optional

Keyword arguments to be passed into the engine. These will be passed to the following functions of the respective engines:

xlsxwriter: xlsxwriter.Workbook(file, **engine_kwargs)
openpyxl (write mode): openpyxl.Workbook(**engine_kwargs)
openpyxl (append mode): openpyxl.load_workbook(file, **engine_kwargs)
odswriter: odf.opendocument.OpenDocumentSpreadsheet(**engine_kwargs)

New in version 1.3.0.

Notes

For compatibility with CSV writers, ExcelWriter serializes lists and dicts to strings before writing.

Examples

Default usage:

>>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])  
>>> with pd.ExcelWriter("path_to_file.xlsx") as writer:
...     df.to_excel(writer)  

To write to separate sheets in a single file:

>>> df1 = pd.DataFrame([["AAA", "BBB"]], columns=["Spam", "Egg"])  
>>> df2 = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])  
>>> with pd.ExcelWriter("path_to_file.xlsx") as writer:
...     df1.to_excel(writer, sheet_name="Sheet1")  
...     df2.to_excel(writer, sheet_name="Sheet2")  

You can set the date format or datetime format:

>>> from datetime import date, datetime  
>>> df = pd.DataFrame(
...     [
...         [date(2014, 1, 31), date(1999, 9, 24)],
...         [datetime(1998, 5, 26, 23, 33, 4), datetime(2014, 2, 28, 13, 5, 13)],
...     ],
...     index=["Date", "Datetime"],
...     columns=["X", "Y"],
... )  
>>> with pd.ExcelWriter(
...     "path_to_file.xlsx",
...     date_format="YYYY-MM-DD",
...     datetime_format="YYYY-MM-DD HH:MM:SS"
... ) as writer:
...     df.to_excel(writer)  

You can also append to an existing Excel file:

>>> with pd.ExcelWriter("path_to_file.xlsx", mode="a", engine="openpyxl") as writer:
...     df.to_excel(writer, sheet_name="Sheet3")  

Here, the if_sheet_exists parameter can be set to replace a sheet if it already exists:

>>> with ExcelWriter(
...     "path_to_file.xlsx",
...     mode="a",
...     engine="openpyxl",
...     if_sheet_exists="replace",
... ) as writer:
...     df.to_excel(writer, sheet_name="Sheet1")  

You can also write multiple DataFrames to a single sheet. Note that the if_sheet_exists parameter needs to be set to overlay:

>>> with ExcelWriter("path_to_file.xlsx",
...     mode="a",
...     engine="openpyxl",
...     if_sheet_exists="overlay",
... ) as writer:
...     df1.to_excel(writer, sheet_name="Sheet1")
...     df2.to_excel(writer, sheet_name="Sheet1", startcol=3)  

You can store Excel file in RAM:

>>> import io
>>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])
>>> buffer = io.BytesIO()
>>> with pd.ExcelWriter(buffer) as writer:
...     df.to_excel(writer)

You can pack Excel file into zip archive:

>>> import zipfile  
>>> df = pd.DataFrame([["ABC", "XYZ"]], columns=["Foo", "Bar"])  
>>> with zipfile.ZipFile("path_to_file.zip", "w") as zf:
...     with zf.open("filename.xlsx", "w") as buffer:
...         with pd.ExcelWriter(buffer) as writer:
...             df.to_excel(writer)  

You can specify additional arguments to the underlying engine:

>>> with pd.ExcelWriter(
...     "path_to_file.xlsx",
...     engine="xlsxwriter",
...     engine_kwargs={"options": {"nan_inf_to_errors": True}}
... ) as writer:
...     df.to_excel(writer)  

In append mode, engine_kwargs are passed through to openpyxl’s load_workbook:

>>> with pd.ExcelWriter(
...     "path_to_file.xlsx",
...     engine="openpyxl",
...     mode="a",
...     engine_kwargs={"keep_vba": True}
... ) as writer:
...     df.to_excel(writer, sheet_name="Sheet2")  

Attributes

`book`	Book instance.
`date_format`	Format string for dates written into Excel files (e.g.
`datetime_format`	Format string for dates written into Excel files (e.g.
`engine`	Name of engine.
`if_sheet_exists`	How to behave when writing to a sheet that already exists in append mode.
`sheets`	Mapping of sheet names to sheet objects.
`supported_extensions`	Extensions that writer engine supports.

Methods

`check_extension`(ext)	checks that path's extension against the Writer's supported extensions.
`close`()	synonym for save, to make it more file-like