PyXLL-Jupyter

Integration for Jupyter notebooks and Microsoft Excel.

See the Python Jupyter Notebooks in Excel blog post for more details.

Requirements

  • PyXLL >= 5.1.0
  • Jupyter >= 1.0.0
  • notebook >= 6.0.0
  • PySide2, or PySide6 for Python >= 3.10

Optional

  • jupyterlab >= 4.0.0

Installation

To install this package use:

pip install pyxll-jupyter

Once installed a “Jupyter Notebook” button will be added to the PyXLL ribbon tab in Excel, so
long as you have PyXLL 5 or above already installed.

When using Jupyter in Excel the Python kernel runs inside the Excel process using PyXLL. You
can interact with Excel from code in the Jupyter notebook, and write Excel functions
using the PyXLL decorators @xl_menu and @xl_macro etc.

As the kernel runs in the existing Python interpreter in the Excel process it is not possible
to restart the kernel or to use other Python versions or other languages.

Configuration

To configure add the following to your pyxll.cfg file (default values shown):

[JUPYTER]
use_workbook_dir = 0
notebook_dir = Documents
subcommand = notebook
timeout = 30
qt = PySide2
disable_ribbon = 0

If use_workbook_dir is set and the current workbook is saved then Jupyter will open in the same folder
as the current workbook.

The subcommand option can be used to switch the Jupyter subcommand used to launch the Jupyter web server.
It can be set to either notebook for the default Jupyter notebook interface, or lab if using Jupyterlab
(experimental).

If disable_ribbon is set then the ribbon button to start Jupyter will not be shown, however Jupyter
may still be opened using the “OpenJupyterNotebook” macro.

Experimental JupyterLab Support

Jupyterlab can be used instead of the default Jupyter Notebook interface by specifying
subcommand = lab in the [JUPYTER] section of the pyxll.cfg file.

This requires Jupyterlab >= 4.0.0 to be installed. At the time of writing, version 4 of Jupyterlab is in
pre-release and can be installed using:

pip install --pre jupyterlab

Qt

The pyxll-jupyter package uses the Qt QWebEngineView widget, and by
default will use the PySide2 package for Python <= 3.9 or
the PySide6 package for Python >= 3.10.

This can be changed to use PyQt5 by setting qt = PyQt5 in
the JUPYTER section of the config. You will need to have both the pyqt5 and pyqtwebengine packages installed
if using this option. Both can be installed using pip as follows:

pip install pyqt5 pyqtwebengine

Magic Functions

The following magic functions are available in addition to the standard Jupyter magic functions:

%xl_get [-c CELL] [-t TYPE] [-x]

Get the current selection in Excel into Python.

optional arguments:
  -c CELL, --cell CELL  Address of cell to get value of.
  -t TYPE, --type TYPE  Datatype to convert the value to.
  -x, --no-auto-resize  Don't auto-resize the range.

%xl_set [-c CELL] [-t TYPE] [-f FORMATTER] [-x] value

Set a value to the current selection in Excel.

positional arguments:
  value                 Value to set in Excel.

optional arguments:
  -c CELL, --cell CELL  Address of cell to get value of.
  -t TYPE, --type TYPE  Datatype to convert the value to.
  -f FORMATTER, --formatter FORMATTER
                        PyXLL Formatter to use when setting the value.
  -x, --no-auto-resize  Don't auto-resize the range.

%xl_plot [-n NAME] [-c CELL] [-w WIDTH] [-h HEIGHT] figure

Plot a figure to Excel in the same way as pyxll.plot.

The figure is exported as an image and inserted into Excel as a Picture object.

If the --name argument is used and the picture already exists then it will not
be resized or moved.

positional arguments:
  figure                Figure to plot.

optional arguments:
  -n NAME, --name NAME  Name of the picture object in Excel to use.
  -c CELL, --cell CELL  Address of cell to use when creating the Picture in
                        Excel.
  -w WIDTH, --width WIDTH
                        Width in points to use when creating the Picture in
                        Excel.
  -h HEIGHT, --height HEIGHT
                        Height in points to use when creating the Picture in
                        Excel.

For more information about installing and using PyXLL see https://www.pyxll.com.

Copyright (c) PyXLL Ltd

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