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Introduction | Current Features | Wishlist | Usage | Installation | Change Log | Issues or comments | License


GUI tools to help the user construct Pandas expressions such as a new calculated column or plots. The tools are meant to run in an interactive Jupyter notebook. All tools are based on Jupyter widgets.

These tools are meant to help the user learn how to construct the commands. They are intended for new or occasional users of Pandas. However, sophisticated users may find them useful for doing simple one-off tasks where the ability to choose python objects from menus can reduce errors.

Binder Try the demonstration notebooks.

Current Features:

The user can pass the GUI tools a list of Pandas DataFrames to work with. If nothing is passed, the GUI will look for Pandas DataFrames in the interactive session. The whole GUI and the Jupyter cell that created it is deleted when done. This leaves only the code that was generated by the GUI and the results of running the generated code.

The generated code contains sparse comments meant to help new users understand the code.

Currently defined GUIs:

  • new_pandas_column_GUI(): A GUI with four steps to lead the user through formulating an expression for a new column. new column GUI
  • plot_pandas_GUI(): A GUI with four steps to lead the user through plotting Pandas data as a scatter or line plot using plotly. plot pandas GUI


  • A GUI for doing simple fits (linear, polynomial, exponetial, etc...) on Pandas data.
  • GUIs for plots beyond scatter/line plots.


If the jupyter_Pandas_GUI is installed in your Jupyter/Python environment start by importing it:

from pandas_GUI import *

When you want to use a particular GUI issue the appropriate command. Currently:




See the docstrings for information about passing dataframes that are not at the root of the interactive namespace or presenting the user with alternative names for the dataframes. There is also an option to make columns containing text available. By default they are ignored.


Installation using pip into a virtual environment is recommended.


  1. If not installed, install pipenv:$ pip3 install --user pipenv. You may need to add ~/.local/bin to your PATH to make pipenv available in your command shell. More discussion: The Hitchhiker's Guide to Python.

  2. Navigate to the directory where this package will be installed.

  3. Start a shell in the environment $ pipenv shell.

  4. Install using pip.

    1. $ pip install jupyter-Pandas-GUI. This will install Jupyter into the same virtual environment if you do not already have it on your machine. If Jupyter is already installed the virtual environment will use the existing installation. This takes a long time on a Raspberry Pi. It will not run on a 3B+ without at least 1 GB of swap. See: Build Jupyter on a Pi.
    2. Still within the environment shell test this by starting jupyter $ jupyter notebook. Jupyter should launch in your browser.
      1. Open a new notebook using the default (Python 3) kernel.
      2. In the first cell import the pandas_GUI module: from pandas_GUI import *
      3. To try:
        1. Create some Pandas DataFrames in the notebook.
        2. Use the command new_pandas_column_GUI() to start the GUI.
        3. It will search for the DataFrames you created.
        4. Follow the steps to create a new column in one of your DataFrames.
  5. Optional You can make this environment available to an alternate Jupyter install as a special kernel when you are the user.

    1. Make sure you are running in your virtual environment $ pipenv shell in the directory for virtual environment will do that.
    2. Issue the command to add this as a kernel to your personal space: $ python -m ipykernel install --user --name=<name-you-want-for-kernel>.
    3. More information is available in the Jupyter/Ipython documentation. A simple tutorial from Nikolai Jankiev (Parametric Thoughts) can be found here.


Simply replace $ pip install jupyter-Pandas-GUI with $ pip install -e ../jupyter_Pandas_GUI in the Production instructions.

Change Log

  • 0.5.2
    • Widget states autosaved when a new plot is made.
    • Began making use of JPSLUtils.
  • 0.5.1
    • Possible to use pandas dataframes in namespaces other than the user global namespace.
    • Readme updates.
  • 0.5.0 Initial beta release.

Issues or comments


This software is distributed under the GNU V3 license

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Copyright - Jonathan Gutow, 2021.


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