df.write_excel does not work with file objects

[littleblubber]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl

df = pl.DataFrame({"a": [1, 2, 3, 4, 5]})

with open("dataframe.xlsx", "wb") as f:
    df.write_excel(f)

Log output

Traceback (most recent call last):
  File "<input>", line 6, in <module>
  File "~/.../polars/dataframe/frame.py", line 3363, in write_excel
    wb, ws, can_close = _xl_setup_workbook(workbook, worksheet)
  File "~/.../polars/io/spreadsheet/_write_utils.py", line 595, in _xl_setup_workbook
    file = Path("dataframe.xlsx" if workbook is None else workbook)
  File "/usr/lib/python3.9/pathlib.py", line 1072, in __new__
    self = cls._from_parts(args, init=False)
  File "/usr/lib/python3.9/pathlib.py", line 697, in _from_parts
    drv, root, parts = self._parse_args(args)
  File "/usr/lib/python3.9/pathlib.py", line 681, in _parse_args
    a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not BufferedWriter

Issue description

_xl_setup_workbook incorrectly defaults to treating file objects like io.BufferedWriter, fsspec.implementations.local.LocalFileOpener, or s3fs.S3File as paths.

This is because the isinstance(workbook, BytesIO) condition condition is False for these objects.

By contrast, write_csv and write_json methods work fine with file-like objects such as the ones mentioned above.

Expected behavior

Similar to write_csv or write_json, the expected behaviour in _xl_setup_workbook is to explicitly check that the workbook is a string/path-like object, otherwise defaulting to treating the workbook as file-like.

I think this could be accomplished by modifying the existing if-else statement along the following lines:

if isinstance(workbook, (str, os.PathLike)):
    file = Path("dataframe.xlsx" if workbook is None else workbook)
    # ...
else:
    wb, ws, can_close = Workbook(workbook, workbook_options), None, True

Installed versions

pl.show_versions()
--------Version info---------
Polars:              1.7.1
Index type:          UInt32
Platform:            Linux-5.15.0-122-generic-x86_64-with-glibc2.31
Python:              3.9.5 (default, Nov 23 2021, 15:27:38) 
[GCC 9.3.0]
----Optional dependencies----
adbc_driver_manager  <not installed>
altair               <not installed>
cloudpickle          <not installed>
connectorx           <not installed>
deltalake            <not installed>
fastexcel            0.11.5
fsspec               2024.3.1
gevent               <not installed>
great_tables         <not installed>
matplotlib           3.8.0
nest_asyncio         <not installed>
numpy                1.26.2
openpyxl             3.1.5
pandas               2.1.1
pyarrow              16.1.0
pydantic             2.5.3
pyiceberg            <not installed>
sqlalchemy           1.4.49
torch                <not installed>
xlsx2csv             0.8.3
xlsxwriter           3.2.0

[v-wei40680]

在 Polars 中，你无需使用 with open() 来打开文件进行写入操作。Polars 提供了直接写入文件的方法，比如 df.write_excel()（或其他格式），该方法会直接处理文件路径。

正确的用法是：

df.write_excel("dataframe.xlsx")

这样，Polars 会自动处理文件的打开和关闭，而不需要手动通过 with open() 进行处理。因此，使用 with open() 是不必要的。

In Polars, you don't need to use with open() to open a file for a write operation.Polars provides methods to write directly to a file, such as df.write_excel() (or other formats), which will deal with the file path directly.

The correct usage is:

``python
df.write_excel(“dataframe.xlsx”)

This way, Polars handles the opening and closing of the file automatically, rather than having to do it manually with `with open()`. Therefore, using `with open()` is not necessary.

Translated with DeepL.com (free version)

[mcrumiller]

@v-wei40680 sorry, can you post in English if possible? Here is a translation of your post (using Google Translate):

In Polars, you don't need to use with open() to open files for writing. Polars provides methods for writing files directly, such as df.write_excel() (or other formats), which directly handle file paths.

The correct usage is:

df.write_excel("dataframe.xlsx")