graphicDegub.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this graphic can be found, is on github, yet all the markup and html below fails\n",
      "fails on github, fails on colab, fails in jupyter print prview, html generation and pdf generation\n",
      "fails by displaying the broken graphic icon, consistantly\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "print('this graphic can be found, is on github, yet all the markup and html below fails')\n",
    "print('fails on github, fails on colab, fails in jupyter print prview, html generation and pdf generation')\n",
    "print('fails by displaying the broken graphic icon, consistantly')\n",
    "Image(filename='images\\s.png') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "1   \n",
    "![logo](images/s.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "2   \n",
    "<img src = 'images/s.png'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "3   \n",
    "<img src = \"images/s.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "7   \n",
    "![logo](images/s.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "8   \n",
    "<img src = 'images/s.jpg'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "9   \n",
    "<img src = \"images/s.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.3"
  },
  "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": 4
}