pandas.read_clipboard#

pandas.read_clipboard(sep='\\s+', dtype_backend=<no_default>, **kwargs)[source]#

Read text from clipboard and pass to read_csv().

Parses clipboard contents similar to how CSV files are parsed using read_csv().

Parameters:

sepstr, default ‘\s+’

A string or regex delimiter. The default of '\\s+' denotes one or more whitespace characters.

dtype_backend{‘numpy_nullable’, ‘pyarrow’}

Back-end data type applied to the resultant DataFrame (still experimental). If not specified, the default behavior is to not use nullable data types. If specified, the behavior is as follows:

"numpy_nullable": returns nullable-dtype-backed DataFrame
"pyarrow": returns pyarrow-backed nullable ArrowDtype DataFrame

Added in version 2.0.

**kwargs

See read_csv() for the full argument list.

Returns:

DataFrame: A parsed 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()  
>>> pd.read_clipboard()  
     A  B  C
0    1  2  3
1    4  5  6