Copy a pandas DataFrame to the clipboard with one click

Installation can be done through pip:

> pip install pd-replicator

ipywidgets must be setup in order for the button/dropdown to display correctly:

> pip install ipywidgets 
> jupyter nbextension enable --py widgetsnbextension

To use with JupyterLab, an additional step is required:

> jupyter labextension install @jupyter-widgets/jupyterlab-manager

pd-replicator can be used in classic Jupyter, JupyterLab, and Google Colaboratory.

It can be used on both local and remotely hosted instances (such as AWS SageMaker or JupyterHub).

Wrap replicator() around any pandas DataFrame/Series to display the replicator copy button above the DataFrame/Series:

from pd_replicator import replicator

replicator(df)

For remotely hosted instances, the native option should be set to False:

from pd_replicator import replicator

replicator(df, native=False)

This uses JavaScript to copy to the clipboard through your browser, rather than the system copy method used by pandas.to_clipboard().

Clicking the "Copy" button will copy the associated DataFrame/Series to your clipboard in tab-seperated form. This means the DataFrame/Series can be pasted directly into Excel or Google Sheets without needing to split the text.

For example, selecting a single cell and pasting will result in something like this:

The dropdown allows some control over what is copied to your clipboard when you press the "Copy" button.

You can choose to exclude the index, header, or both from being copied.