snnotes.ipynb

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    "# 20aug31\n",
    "## testing jupyter notebook\n",
    "using a jupyter notebook would allow saving/sharing figures inline, integrate better with vscode (as opposed to emacs), and allow others to use the project more easily. figures inline would require extra space on github. jupyter notebook format is json with embedded binary objects (for images). text is not as free form as org mode. downside of org mode is that it does not put the images inline into the notebook. \n"
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from pylab import *\n",
    "plot()\n",
    "x = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "x is  2\n"
    }
   ],
   "source": [
    "print('x is ',x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "-1\nlpop:  ['EV1', 'EV1DE', 'EV1DNE', 'EV1DN', 'EV1DNW', 'EV1DW', 'EV1DSW', 'EV1DS', 'EV1DSE', 'IV1', 'EMDOWN', 'EMUP', 'IM']\nloading data from 20aug12_A0_cycle_\nTraceback (most recent call last):\n  File \"simdat.py\", line 1454, in <module>\n    simConfig, pdf, actreward, dstartidx, dendidx, dnumc, dspkID, dspkT, InputImages, ldflow, dact = loadsimdat(getactmap=False,lpop=lpop)\n  File \"simdat.py\", line 97, in loadsimdat\n    conf.dconf = conf.readconf('backupcfg/'+name+'sim.json')\n  File \"/home/samn/SMARTAgent/conf.py\", line 12, in readconf\n    with open(fnjson,'r') as fp:\nFileNotFoundError: [Errno 2] No such file or directory: 'backupcfg/20aug12_A0_cycle_sim.json'\n>>> \n"
    }
   ],
   "source": [
    "%%bash\n",
    "python -i simdat.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}