FOR SO 78619042/8508004 Showing a dataframe in modern Jupyter https://stackoverflow.com/q/78619042/8508004

SO_78619042_on_06132024.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4e63f4b3-7b3b-424c-bb9d-fe0b6a0577c1",
   "metadata": {},
   "source": [
    "## For SO https://stackoverflow.com/q/78619042/8508004 'How to load data using ipywidgets and make it available for Download'\n",
    "\n",
    "Developed in sessions launched from [here](https://github.com/fomightez/3Dscatter_plot_mod_playground-binder) and served via the MyBinder service.  Go there and click on a 'launch binder' badge."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a0d3490f-c86e-411a-8f88-14b8c616e738",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting openpyxl\n",
      "  Obtaining dependency information for openpyxl from https://files.pythonhosted.org/packages/30/d0/abcdb0669931be3a98881e6d7851605981693e93a7924061c67d0cd9f292/openpyxl-3.1.4-py2.py3-none-any.whl.metadata\n",
      "  Downloading openpyxl-3.1.4-py2.py3-none-any.whl.metadata (2.5 kB)\n",
      "Collecting et-xmlfile (from openpyxl)\n",
      "  Obtaining dependency information for et-xmlfile from https://files.pythonhosted.org/packages/96/c2/3dd434b0108730014f1b96fd286040dc3bcb70066346f7e01ec2ac95865f/et_xmlfile-1.1.0-py3-none-any.whl.metadata\n",
      "  Downloading et_xmlfile-1.1.0-py3-none-any.whl.metadata (1.8 kB)\n",
      "Downloading openpyxl-3.1.4-py2.py3-none-any.whl (251 kB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m251.4/251.4 kB\u001b[0m \u001b[31m7.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hDownloading et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)\n",
      "Installing collected packages: et-xmlfile, openpyxl\n",
      "Successfully installed et-xmlfile-1.1.0 openpyxl-3.1.4\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install openpyxl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "60e5cee6-49e5-4eef-8d74-67b1c7618ca5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n",
      "100  3698  100  3698    0     0  13251      0 --:--:-- --:--:-- --:--:-- 13251\n"
     ]
    }
   ],
   "source": [
    "# use any example xlsx as staring point; this was near top when I googled 'sample .xlsx file'\n",
    "!curl -OL https://github.com/frictionlessdata/datasets/raw/main/files/excel/sample-1-sheet.xlsx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "929025cc-719a-4dba-8ce5-929b9fa7619c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cd9ee0da02774c57993044436fee6657",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<h2>Showing data</h1><h2>'),))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2427a99022834da2a6bf773a73f1fd74",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(description='Click to show', layout=Layout(height='auto', width='auto'), style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b26fa1ca16e54ce9bddbf0cb23954e80",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "from IPython.display import display\n",
    "output = widgets.Output()\n",
    "import pandas as pd\n",
    "def load_data():\n",
    "    df = pd.read_excel('sample-1-sheet.xlsx',engine='openpyxl',dtype=str)\n",
    "    with output:\n",
    "        output.clear_output() # from 'Output widgets: leveraging Jupyter’s display system' https://ipywidgets.readthedocs.io/en/latest/examples/Output%20Widget.html\n",
    "        display(df)\n",
    "def on_sample_data_click(event):\n",
    "    load_data()\n",
    "\n",
    "text_caption = widgets.HTML(value=\"<h2>Showing data</h1><h2>\")\n",
    "vbox_text = widgets.VBox([text_caption])\n",
    "display(vbox_text)\n",
    "\n",
    "load_sample_data = widgets.Button(description='Click to show', layout=dict(width='auto', height='auto'))\n",
    "load_sample_data.on_click(on_sample_data_click)\n",
    "display(load_sample_data)\n",
    "display(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1aa3237c-9ac0-4796-9d97-e15b75809e9a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}