U ?v f$@sdZddlmZddlmZmZddlmZddlm Z m Z m Z m Z m Z ddlmZddlmZddlmZdd lZdd lmZmZdd lmZdd lmZeed dddddddddZeed dd dd ejfddddddddZd S)z feather-format compat ) annotations)HashableSequence)lib) DtypeBackendFilePath ReadBufferStorageOptions WriteBuffer)import_optional_dependency)doc)check_dtype_backendN) DataFrame RangeIndex) _shared_docs) get_handlestorage_options)rrzFilePath | WriteBuffer[bytes]r None)dfpathrreturnc Kstdddlm}t|ts&tdddh}|jjdksTt|j}td|d |j t t t |svtd |jjd k rtd |jj|krtd t|d|dd}|j||jf|W5QRXd S)aK Write a DataFrame to the binary Feather format. Parameters ---------- df : DataFrame path : str, path object, or file-like object {storage_options} .. versionadded:: 1.2.0 **kwargs : Additional keywords passed to `pyarrow.feather.write_feather`. .. versionadded:: 1.1.0 pyarrowrfeatherz'feather only support IO with DataFramesstringunicodeZint64z%feather does not support serializing zG for the index; you can .reset_index() to make the index into column(s)zfeather does not support serializing a non-default index for the index; you can .reset_index() to make the index into column(s)Nz=feather does not serialize index meta-data on a default indexz%feather must have string column nameswbFrZis_text)r rr isinstancer ValueErrorindexZdtypetypeequalsrZ from_rangerangelennamecolumnsZ inferred_typerZ write_featherhandle)rrrkwargsrZ valid_typestyphandlesr+s(        C