{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "healthy-group",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": "480",
       "width": "640"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%plot --format png\n",
    "randn (\"state\", 1);\n",
    "hist (randn (10000, 1), 30);\n",
    "xlabel (\"Value\");\n",
    "ylabel (\"Count\");\n",
    "title (\"Histogram of 10,000 normally distributed random numbers\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "diverse-hypothetical",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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       "<IPython.core.display.SVG object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%plot -f svg\n",
    "h = bar (rand (5, 10));\n",
    "set (h(1), \"basevalue\", 0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "regulation-analysis",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": "480",
       "width": "640"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%plot --format jpg \n",
    "x = -10:0.1:10;\n",
    "plot (x, sin (x));\n",
    "title (\"sin(x) for x = -10:0.1:10\");\n",
    "xlabel (\"x\");\n",
    "ylabel (\"sin (x)\");\n",
    "text (pi, 0.7, \"arbitrary text\");\n",
    "legend (\"sin (x)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "global-latex",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A number is required for resolution, not a string"
     ]
    }
   ],
   "source": [
    "%plot -f jpg -r 1a0\n",
    "plot([5 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "designing-greece",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A number is required for width, not a string"
     ]
    }
   ],
   "source": [
    "%plot -f jpg --width 1a0\n",
    "plot([5 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "configured-eating",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "A number is required for height, not a string"
     ]
    }
   ],
   "source": [
    "%plot -f jpg -h 1a0\n",
    "plot([5 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "specified-omega",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The figure is empty!"
     ]
    }
   ],
   "source": [
    "figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "serious-exhibit",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cannot embed the 'pdf' image format\n"
     ]
    }
   ],
   "source": [
    "%plot -f pdf\n",
    "plot([5 4])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Octave",
   "language": "octave",
   "name": "octave"
  },
  "language_info": {
   "file_extension": ".m",
   "help_links": [
    {
     "text": "GNU Octave",
     "url": "https://www.gnu.org/software/octave/support.html"
    },
    {
     "text": "Octave Kernel",
     "url": "https://github.com/Calysto/octave_kernel"
    },
    {
     "text": "MetaKernel Magics",
     "url": "https://metakernel.readthedocs.io/en/latest/source/README.html"
    }
   ],
   "mimetype": "text/x-octave",
   "name": "octave",
   "version": "6.3.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}