Chemieproject.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hide_input": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Clustering pharmaceuticals to build a Drug Discovery Dashboard \n",
    "(hit space bar to see dashboard)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide_input": true,
    "init_cell": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.display import HTML\n",
    "import random\n",
    "#!jupyter nbextension enable init_cell/main\n",
    "def hide_toggle(for_next=False):\n",
    "    this_cell = \"\"\"$('div.cell.code_cell.rendered.selected')\"\"\"\n",
    "    next_cell = this_cell + '.next()'\n",
    "\n",
    "    toggle_text = 'Toggle show/hide'  # text shown on toggle link\n",
    "    target_cell = this_cell  # target cell to control with toggle\n",
    "    js_hide_current = ''  # bit of JS to permanently hide code in current cell (only when toggling next cell)\n",
    "\n",
    "    if for_next:\n",
    "        target_cell = next_cell\n",
    "        toggle_text += ' next cell'\n",
    "        js_hide_current = this_cell + '.find(\"div.input\").hide();'\n",
    "\n",
    "    js_f_name = 'code_toggle_{}'.format(str(random.randint(1,2**64)))\n",
    "\n",
    "    html = \"\"\"\n",
    "        <script>\n",
    "            function {f_name}() {{\n",
    "                {cell_selector}.find('div.input').toggle();\n",
    "            }}\n",
    "\n",
    "            {js_hide_current}\n",
    "        </script>\n",
    "\n",
    "        <a href=\"javascript:{f_name}()\">{toggle_text}</a>\n",
    "    \"\"\".format(\n",
    "        f_name=js_f_name,\n",
    "        cell_selector=target_cell,\n",
    "        js_hide_current=js_hide_current, \n",
    "        toggle_text=toggle_text\n",
    "    )\n",
    "\n",
    "    return HTML(html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "init_cell": true,
    "scrolled": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <script>\n",
       "            function code_toggle_6006791046788294768() {\n",
       "                $('div.cell.code_cell.rendered.selected').next().find('div.input').toggle();\n",
       "            }\n",
       "\n",
       "            $('div.cell.code_cell.rendered.selected').find(\"div.input\").hide();\n",
       "        </script>\n",
       "\n",
       "        <a href=\"javascript:code_toggle_6006791046788294768()\">Toggle show/hide next cell</a>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dash_drug_discovery.app import app\n",
    "hide_toggle(for_next=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "hide_input": true,
    "init_cell": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "  <iframe src=\"/app/endpoints/b18aa0487b234ed8b7d7ac02f60a9930/\" width=800 height=600 frameborder=\"0\"></iframe>\n",
       "  <hr/><a href=\"/app/endpoints/b18aa0487b234ed8b7d7ac02f60a9930/\" target=\"_new\">Open in new window</a> for /app/endpoints/b18aa0487b234ed8b7d7ac02f60a9930/\n",
       "</div>"
      ],
      "text/plain": [
       "<jupyter_plotly_dash.dash_wrapper.JupyterDash at 0x120057a10>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.4"
  },
  "rise": {
   "autolaunch": true,
   "scroll": true,
   "start_slideshow_at": "beginning"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}