ipkernel json_clean no like numpy types

declarativewidgets_numpy_serialization.ipynb

json_clean_numpy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from ipykernel.jsonutil import json_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s = pd.Series({'A': 1, 'B': 2}).to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'A': 1, 'B': 2}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Can't clean for JSON: 2",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-031556714290>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mjson_clean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/opt/conda/lib/python3.4/site-packages/ipykernel/jsonutil.py\u001b[0m in \u001b[0;36mjson_clean\u001b[1;34m(obj)\u001b[0m\n\u001b[0;32m    161\u001b[0m         \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mv\u001b[0m \u001b[1;32min\u001b[0m \u001b[0miteritems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 163\u001b[1;33m             \u001b[0mout\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0municode_type\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mjson_clean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    164\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    165\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/opt/conda/lib/python3.4/site-packages/ipykernel/jsonutil.py\u001b[0m in \u001b[0;36mjson_clean\u001b[1;34m(obj)\u001b[0m\n\u001b[0;32m    167\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    168\u001b[0m     \u001b[1;31m# we don't understand it, it's probably an unserializable object\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 169\u001b[1;33m     \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Can't clean for JSON: %r\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m: Can't clean for JSON: 2"
     ]
    }
   ],
   "source": [
    "json_clean(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(s['B'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "certifi==2015.9.6.2\r\n",
      "conda==3.18.3\r\n",
      "conda-env==2.4.2\r\n",
      "decorator==4.0.4\r\n",
      "ipykernel==4.1.1\r\n",
      "ipython==4.0.0\r\n",
      "ipython-genutils==0.1.0\r\n",
      "ipywidgets==4.1.0\r\n",
      "Jinja2==2.8\r\n",
      "jsonschema==2.4.0\r\n",
      "jupyter==1.0.0\r\n",
      "jupyter-client==4.1.1\r\n",
      "jupyter-cms==0.2.1\r\n",
      "jupyter-console==4.0.3\r\n",
      "jupyter-core==4.0.6\r\n",
      "jupyter-dashboards==0.2.0\r\n",
      "jupyter-declarativewidgets==0.2.0\r\n",
      "MarkupSafe==0.23\r\n",
      "matplotlib==1.4.3\r\n",
      "mistune==0.7.1\r\n",
      "nbconvert==4.0.0\r\n",
      "nbformat==4.0.1\r\n",
      "nose==1.3.7\r\n",
      "notebook==4.0.6\r\n",
      "numpy==1.9.3\r\n",
      "pandas==0.16.2\r\n",
      "path.py==0.0.0\r\n",
      "pexpect==3.3\r\n",
      "pickleshare==0.5\r\n",
      "ptyprocess==0.5\r\n",
      "pycosat==0.6.1\r\n",
      "Pygments==2.0.2\r\n",
      "pyparsing==2.0.3\r\n",
      "python-dateutil==2.4.2\r\n",
      "pytz==2015.6\r\n",
      "PyYAML==3.11\r\n",
      "pyzmq==14.7.0\r\n",
      "qtconsole==4.1.0\r\n",
      "requests==2.8.1\r\n",
      "scandir==1.1\r\n",
      "scikit-learn==0.16.1\r\n",
      "scipy==0.15.1\r\n",
      "seaborn==0.6.0\r\n",
      "simplegeneric==0.8.1\r\n",
      "six==1.10.0\r\n",
      "terminado==0.5\r\n",
      "tornado==4.2.1\r\n",
      "traitlets==4.0.0\r\n",
      "wheel==0.26.0\r\n",
      "Whoosh==2.7.0\r\n"
     ]
    }
   ],
   "source": [
    "!pip freeze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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json_clean_pandas_dates.ipynb