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, **kwargs)[source]#
Class for writing DataFrame objects into excel sheets.
Default is to use:
xlwt for xls files
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 NOTE: can only be passed as a keyword argument.Deprecated since version 1.2.0: As the xlwt package is no longer maintained, the
xlwt
engine will be removed in a future version of pandas.- 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 tofsspec.open
. Please seefsspec
andurllib
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.
- **kwargsdict, optional
Keyword arguments to be passed into the engine.
Deprecated since version 1.3.0: Use engine_kwargs instead.
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 tooverlay
:>>> 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’sload_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 instance.
(DEPRECATED) Current sheet for writing.
Format string for dates written into Excel files (e.g.
Format string for dates written into Excel files (e.g.
Name of engine.
(DEPRECATED) Handles to Excel sheets.
How to behave when writing to a sheet that already exists in append mode.
(DEPRECATED) Path to Excel file.
Mapping of sheet names to sheet objects.
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
save
()(DEPRECATED) Save workbook to disk.
write_cells
(cells[, sheet_name, startrow, ...])(DEPRECATED) Write given formatted cells into Excel an excel sheet