{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test code ligne 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.6.4 |Anaconda, Inc.| (default, Mar 13 2018, 01:15:57) \n",
      "[GCC 7.2.0]\n",
      "uname_result(system='Linux', node='4b8108b42aa8', release='4.4.0-164-generic', version='#192-Ubuntu SMP Fri Sep 13 12:02:50 UTC 2019', machine='x86_64', processor='x86_64')\n",
      "IPython 7.12.0\n",
      "IPython.core.release 7.12.0\n",
      "PIL 7.0.0\n",
      "PIL.Image 7.0.0\n",
      "PIL._version 7.0.0\n",
      "_csv 1.0\n",
      "_ctypes 1.1.0\n",
      "_curses b'2.2'\n",
      "decimal 1.70\n",
      "argparse 1.1\n",
      "backcall 0.1.0\n",
      "cffi 1.13.2\n",
      "csv 1.0\n",
      "ctypes 1.1.0\n",
      "cycler 0.10.0\n",
      "dateutil 2.8.1\n",
      "decimal 1.70\n",
      "decorator 4.4.1\n",
      "distutils 3.6.4\n",
      "ipaddress 1.0\n",
      "ipykernel 5.1.4\n",
      "ipykernel._version 5.1.4\n",
      "ipython_genutils 0.2.0\n",
      "ipython_genutils._version 0.2.0\n",
      "ipywidgets 7.2.1\n",
      "ipywidgets._version 7.2.1\n",
      "jedi 0.16.0\n",
      "json 2.0.9\n",
      "jupyter_client 6.0.0\n",
      "jupyter_client._version 6.0.0\n",
      "jupyter_core 4.6.3\n",
      "jupyter_core.version 4.6.3\n",
      "kiwisolver 1.1.0\n",
      "logging 0.5.1.2\n",
      "matplotlib 2.2.3\n",
      "matplotlib.backends.backend_agg 2.2.3\n",
      "numpy 1.15.2\n",
      "numpy.core 1.15.2\n",
      "numpy.core.multiarray 3.1\n",
      "numpy.lib 1.15.2\n",
      "numpy.linalg._umath_linalg b'0.1.5'\n",
      "numpy.matlib 1.15.2\n",
      "optparse 1.5.3\n",
      "pandas 0.22.0\n",
      "_libjson 1.33\n",
      "parso 0.6.0\n",
      "patsy 0.5.1\n",
      "patsy.version 0.5.1\n",
      "pexpect 4.8.0\n",
      "pickleshare 0.7.5\n",
      "platform 1.0.8\n",
      "prompt_toolkit 3.0.3\n",
      "ptyprocess 0.6.0\n",
      "pygments 2.5.2\n",
      "pyparsing 2.4.6\n",
      "pytz 2019.3\n",
      "re 2.2.1\n",
      "scipy 1.1.0\n",
      "scipy._lib.decorator 4.0.5\n",
      "scipy._lib.six 1.2.0\n",
      "scipy.fftpack._fftpack b'$Revision: $'\n",
      "scipy.fftpack.convolve b'$Revision: $'\n",
      "scipy.integrate._dop b'$Revision: $'\n",
      "scipy.integrate._ode $Id$\n",
      "scipy.integrate._odepack  1.9 \n",
      "scipy.integrate._quadpack  1.13 \n",
      "scipy.integrate.lsoda b'$Revision: $'\n",
      "scipy.integrate.vode b'$Revision: $'\n",
      "scipy.interpolate._fitpack  1.7 \n",
      "scipy.interpolate.dfitpack b'$Revision: $'\n",
      "scipy.linalg 0.4.9\n",
      "scipy.linalg._fblas b'$Revision: $'\n",
      "scipy.linalg._flapack b'$Revision: $'\n",
      "scipy.linalg._flinalg b'$Revision: $'\n",
      "scipy.ndimage 2.0\n",
      "scipy.optimize._cobyla b'$Revision: $'\n",
      "scipy.optimize._lbfgsb b'$Revision: $'\n",
      "scipy.optimize._minpack  1.10 \n",
      "scipy.optimize._nnls b'$Revision: $'\n",
      "scipy.optimize._slsqp b'$Revision: $'\n",
      "scipy.optimize.minpack2 b'$Revision: $'\n",
      "scipy.signal.spline 0.2\n",
      "scipy.sparse.linalg.eigen.arpack._arpack b'$Revision: $'\n",
      "scipy.sparse.linalg.isolve._iterative b'$Revision: $'\n",
      "scipy.special.specfun b'$Revision: $'\n",
      "scipy.stats.mvn b'$Revision: $'\n",
      "scipy.stats.statlib b'$Revision: $'\n",
      "seaborn 0.8.1\n",
      "seaborn.external.husl 2.1.0\n",
      "seaborn.external.six 1.10.0\n",
      "six 1.14.0\n",
      "statsmodels 0.9.0\n",
      "statsmodels.__init__ 0.9.0\n",
      "traitlets 4.3.3\n",
      "traitlets._version 4.3.3\n",
      "urllib.request 3.6\n",
      "zlib 1.0\n",
      "zmq 17.1.2\n",
      "zmq.sugar 17.1.2\n",
      "zmq.sugar.version 17.1.2\n"
     ]
    }
   ],
   "source": [
    "def print_imported_modules():\n",
    "    import sys\n",
    "    for name, val in sorted(sys.modules.items()):\n",
    "        if(hasattr(val, '__version__')): \n",
    "            print(val.__name__, val.__version__)\n",
    "#        else:\n",
    "#            print(val.__name__, \"(unknown version)\")\n",
    "def print_sys_info():\n",
    "    import sys\n",
    "    import platform\n",
    "    print(sys.version)\n",
    "    print(platform.uname())\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.api as sm\n",
    "import seaborn as sns\n",
    "\n",
    "print_sys_info()\n",
    "print_imported_modules()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "ParserError",
     "evalue": "Error tokenizing data. C error: Expected 1 fields in line 30, saw 21\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mParserError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-dd5c5ce9e9a8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"https://app-learninglab.inria.fr/moocrr/gitlab/moocrr-session3/moocrr-reproducibility-study/blob/master/data/shuttle.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)\u001b[0m\n\u001b[1;32m    707\u001b[0m                     skip_blank_lines=skip_blank_lines)\n\u001b[1;32m    708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 709\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    710\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    711\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    453\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    454\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 455\u001b[0;31m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    456\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    457\u001b[0m         \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m   1067\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'skipfooter not supported for iteration'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1068\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1069\u001b[0;31m         \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1070\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1071\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'as_recarray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m   1837\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnrows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1838\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1839\u001b[0;31m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1840\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1841\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_first_chunk\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.read\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._read_low_memory\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._read_rows\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mParserError\u001b[0m: Error tokenizing data. C error: Expected 1 fields in line 30, saw 21\n"
     ]
    }
   ],
   "source": [
    " data = pd.read_csv(\"https://app-learninglab.inria.fr/moocrr/gitlab/moocrr-session3/moocrr-reproducibility-study/blob/master/data/shuttle.csv\")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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