Created
June 11, 2022 22:32
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Update the display of a Pandas DataFrame interactively in a Jupyter Notebook using Jupyter Widgets
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "0e6ce9c1", | |
| "metadata": {}, | |
| "source": [ | |
| "This notebook illustrates how [Jupyter Widgets](https://ipywidgets.readthedocs.io/en/latest/) can update and display parts of a [Pandas](https://pandas.pydata.org/) DataFrame." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "certified-prospect", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "import pandas as pd\n", | |
| "from IPython.display import HTML\n", | |
| "from ipywidgets import widgets, HBox, Dropdown, IntSlider\n", | |
| "\n", | |
| "df = pd.DataFrame(np.arange(5*3).reshape(5,3), columns=['a', 'b', 'c'])\n", | |
| "df['c'] = df['c'].values[::-1]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "4e8b43e3", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "e699e20066ea4a28a864b6ef2c686a78", | |
| "version_major": 2, | |
| "version_minor": 0 | |
| }, | |
| "text/plain": [ | |
| "HBox(children=(Dropdown(description='Column to sort:', layout=Layout(width='initial'), options=('a', 'b', 'c')…" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "f257ea17c1324120b5e8a97fad1044eb", | |
| "version_major": 2, | |
| "version_minor": 0 | |
| }, | |
| "text/plain": [ | |
| "Output()" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "style = {'description_width': 'initial'}\n", | |
| "\n", | |
| "col = Dropdown(\n", | |
| " options=df.columns,\n", | |
| " description='Column to sort:',\n", | |
| " style=style,\n", | |
| " layout=widgets.Layout(width='initial')\n", | |
| ")\n", | |
| "\n", | |
| "asc = Dropdown(\n", | |
| " options=[True, False],\n", | |
| " description='Ascending:',\n", | |
| " style=style,\n", | |
| " layout=widgets.Layout(width='initial')\n", | |
| ")\n", | |
| "\n", | |
| "c3 = IntSlider(\n", | |
| " value=5,\n", | |
| " min=0,\n", | |
| " max=20,\n", | |
| " description='Index <b>3</b>, Column <b>c</b> value:',\n", | |
| " style=style,\n", | |
| " layout=widgets.Layout(width='300px', padding='0px 0px 0px 20px')\n", | |
| ")\n", | |
| "\n", | |
| "hbox = widgets.HBox([col, asc, c3], layout=widgets.Layout(width='100%'))\n", | |
| "\n", | |
| "def update_df(df, col, asc, c3):\n", | |
| " df.loc[3, 'c'] = c3\n", | |
| " if col == 'b':\n", | |
| " # To show dynamical output of size, we'll omit the last row and 'a' if sorting on 'b'\n", | |
| " display(HTML(df[['b', 'c']].sort_values(by=col, ascending=asc).iloc[:-1].to_html()))\n", | |
| " return\n", | |
| " display(HTML(df.sort_values(by=col, ascending=asc).to_html()))\n", | |
| " \n", | |
| "out = widgets.interactive_output(\n", | |
| " update_df, \n", | |
| " dict(\n", | |
| " df=widgets.fixed(df), # use widgets.fixed for passing in non-interactive args\n", | |
| " col=col, \n", | |
| " asc=asc, \n", | |
| " c3=c3\n", | |
| " )\n", | |
| ")\n", | |
| "\n", | |
| "display(hbox)\n", | |
| "display(out)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "distributed-nowhere", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "hide_input": false, | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.10.4" | |
| }, | |
| "varInspector": { | |
| "cols": { | |
| "lenName": 16, | |
| "lenType": 16, | |
| "lenVar": 40 | |
| }, | |
| "kernels_config": { | |
| "python": { | |
| "delete_cmd_postfix": "", | |
| "delete_cmd_prefix": "del ", | |
| "library": "var_list.py", | |
| "varRefreshCmd": "print(var_dic_list())" | |
| }, | |
| "r": { | |
| "delete_cmd_postfix": ") ", | |
| "delete_cmd_prefix": "rm(", | |
| "library": "var_list.r", | |
| "varRefreshCmd": "cat(var_dic_list()) " | |
| } | |
| }, | |
| "types_to_exclude": [ | |
| "module", | |
| "function", | |
| "builtin_function_or_method", | |
| "instance", | |
| "_Feature" | |
| ], | |
| "window_display": false | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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