code: def to_feather(
      df: DataFrame,
      path: FilePath | WriteBuffer[bytes],
      storage_options: StorageOptions | None = None,
      **kwargs: Any,
  ) -> None:
      """
      Write a DataFrame to the binary Feather format.
  
      Parameters
      ----------
      df : DataFrame
      path : str, path object, or file-like object
      {storage_options}
      **kwargs :
          Additional keywords passed to `pyarrow.feather.write_feather`.
  
      """
      import_optional_dependency("pyarrow")
      from pyarrow import feather
  
      if not isinstance(df, DataFrame):
          raise ValueError("feather only support IO with DataFrames")
  
      with get_handle(
          path, "wb", storage_options=storage_options, is_text=False
      ) as handles:
          feather.write_feather(df, handles.handle, **kwargs)
  
file_path: pandas/pandas/io/feather_format.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any
  from pandas._config import using_pyarrow_string_dtype
  from pandas._libs import lib
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._decorators import doc
  from pandas.util._validators import check_dtype_backend
  import pandas
  from pandas.core.api import DataFrame
  from pandas.core.shared_docs import _shared_docs
  from pandas.io._util import arrow_string_types_mapper
  from pandas.io.common import get_handle
label_desc: Use image node_id 1 for calling a global function with example usage: to_feather(df, path, storage_options) without return types