o ۭj@sdZddlmZddlmZddlmZddlZddlm Z ddl m Z ddl m Z dd lmZdd lmZmZer@dd lmZd e jfdddZ ddddZdS)z io on the clipboard ) annotations)StringIO) TYPE_CHECKINGN)lib)find_stack_level)check_dtype_backend) ABCDataFrame) get_optionoption_context) DtypeBackend\s+sepstr dtype_backendDtypeBackend | lib.NoDefaultc Ks|dd}|dur|dddkrtdt|dd lm}dd lm}|}z| | dp6t d }Wn t yBYnw|dd  d dddd}dd|D}t|dkrt|dkr|dkrd}t|dt|dd} | dkr|dtt| |dur| ddurd}t|dkr| ddurd|d<nt|dkr| ddkrtjdtd|t|f||d|S)a Read text from clipboard and pass to :func:`~pandas.read_csv`. Parses clipboard contents similar to how CSV files are parsed using :func:`~pandas.read_csv`. Parameters ---------- sep : str, default '\\s+' A string or regex delimiter. The default of ``'\\s+'`` denotes one or more whitespace characters. dtype_backend : {'numpy_nullable', 'pyarrow'}, default 'numpy_nullable' Back-end data type applied to the resultant :class:`DataFrame` (still experimental). Behaviour is as follows: * ``"numpy_nullable"``: returns nullable-dtype-backed :class:`DataFrame` (default). * ``"pyarrow"``: returns pyarrow-backed nullable :class:`ArrowDtype` DataFrame. .. versionadded:: 2.0 **kwargs See :func:`~pandas.read_csv` for the full argument list. Returns ------- DataFrame A parsed :class:`~pandas.DataFrame` object. See Also -------- DataFrame.to_clipboard : Copy object to the system clipboard. read_csv : Read a comma-separated values (csv) file into DataFrame. read_fwf : Read a table of fixed-width formatted lines into DataFrame. Examples -------- >>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=['A', 'B', 'C']) >>> df.to_clipboard() # doctest: +SKIP >>> pd.read_clipboard() # doctest: +SKIP A B C 0 1 2 3 1 4 5 6 encodingutf-8N-utf8z3reading from clipboard only supports utf-8 encodingr) clipboard_get)read_csvzdisplay.encodingi' cSsh|] }|ddqS)  )lstripcount).0xr!Q/var/www/html/CropPilot/venv/lib/python3.10/site-packages/pandas/io/clipboards.py jsz!read_clipboard..rz index_coldelim_whitespacer enginepythonczIread_clipboard with regex separator does not work properly with c engine. stacklevel)r r)poplowerreplaceNotImplementedErrorrpandas.io.clipboardrpandas.io.parsersrdecodegetr AttributeErrorsplitlenr setdefaultlistrangewarningswarnrr) r rkwargsrrrtextlinescounts index_lengthr!r!r"read_clipboards: 3   "$ rATexcel bool | None str | NonereturnNonec Ks"|dd}|dur|dddkrtddd lm}|dur$d }|rXz |dur-d }t}|j|f|dd ||}||WdSt yWt j d t dYn w|durdt j dt dt |trtdd|jdi|}Wdn1swYnt|}||dS)a Attempt to write text representation of object to the system clipboard The clipboard can be then pasted into Excel for example. Parameters ---------- obj : the object to write to the clipboard excel : bool, defaults to True if True, use the provided separator, writing in a csv format for allowing easy pasting into excel. if False, write a string representation of the object to the clipboard sep : optional, defaults to tab other keywords are passed to to_csv Notes ----- Requirements for your platform - Linux: xclip, or xsel (with PyQt4 modules) - Windows: - OS X: rrNrrrz&clipboard only supports utf-8 encodingr) clipboard_setTr)r rzAto_clipboard in excel mode requires a single character separator.r*z7to_clipboard with excel=False ignores the sep argument.zdisplay.max_colwidthr!)r,r-r. ValueErrorr0rGrto_csvgetvalue TypeErrorr:r;r isinstancerr to_stringr) objrBr r<rrGbufr=objstrr!r!r" to_clipboardsB       rQ)r rrr)TN)rBrCr rDrErF)__doc__ __future__riortypingrr: pandas._libsrpandas.util._exceptionsrpandas.util._validatorsrpandas.core.dtypes.genericrpandasr r pandas._typingr no_defaultrArQr!r!r!r"s"         n