BPt.Dataset.to_clipboard#

Dataset.to_clipboard(excel=True, sep=None, **kwargs)[source]#

Copy object to the system clipboard.

Write a text representation of object to the system clipboard. This can be pasted into Excel, for example.

Parameters
excelbool, default True

Produce output in a csv format for easy pasting into excel.

  • True, use the provided separator for csv pasting.

  • False, write a string representation of the object to the clipboard.

sepstr, default '\t'

Field delimiter.

**kwargs

These parameters will be passed to DataFrame.to_csv.

See also

DataFrame.to_csv

Write a DataFrame to a comma-separated values (csv) file.

read_clipboard

Read text from clipboard and pass to read_csv.

Notes

Requirements for your platform.

  • Linux : xclip, or xsel (with PyQt4 modules)

  • Windows : none

  • macOS : none

This method uses the processes developed for the package pyperclip. A solution to render any output string format is given in the examples.

Examples

Copy the contents of a DataFrame to the clipboard.

>>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=['A', 'B', 'C'])

>>> df.to_clipboard(sep=',')  
... # Wrote the following to the system clipboard:
... # ,A,B,C
... # 0,1,2,3
... # 1,4,5,6

We can omit the index by passing the keyword index and setting it to false.

>>> df.to_clipboard(sep=',', index=False)  
... # Wrote the following to the system clipboard:
... # A,B,C
... # 1,2,3
... # 4,5,6

Using the original pyperclip package for any string output format.

import pyperclip
html = df.style.to_html()
pyperclip.copy(html)