{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As I'm already actively  using jupyter as experiment log I just copy paste some of my latest experiments here:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Does the shell work? can I install plotnine?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "exercice_en.ipynb  exercice_fr.Rmd\t   exercice_python_fr.org\r\n",
      "exercice_en.Rmd    exercice.ipynb\t   exercice_R_en.org\r\n",
      "exercice_fr.ipynb  exercice_python_en.org  exercice_R_fr.org\r\n"
     ]
    }
   ],
   "source": [
    "! ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting plotnine\n",
      "  Downloading plotnine-0.6.0-py3-none-any.whl (4.1 MB)\n",
      "\u001b[K     |████████████████████████████████| 4.1 MB 6.4 MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: patsy>=0.4.1 in /opt/conda/lib/python3.6/site-packages (from plotnine) (0.5.1)\n",
      "Requirement already satisfied: statsmodels>=0.9.0 in /opt/conda/lib/python3.6/site-packages (from plotnine) (0.9.0)\n",
      "Collecting mizani>=0.6.0\n",
      "  Downloading mizani-0.6.0-py2.py3-none-any.whl (61 kB)\n",
      "\u001b[K     |████████████████████████████████| 61 kB 396 kB/s  eta 0:00:01\n",
      "\u001b[?25hCollecting numpy>=1.16.0\n",
      "  Downloading numpy-1.18.4-cp36-cp36m-manylinux1_x86_64.whl (20.2 MB)\n",
      "\u001b[K     |████████████████████████████████| 20.2 MB 166 kB/s  eta 0:00:01    |████████▎                       | 5.2 MB 26.5 MB/s eta 0:00:01     |███████████████████████▎        | 14.7 MB 26.5 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting descartes>=1.1.0\n",
      "  Downloading descartes-1.1.0-py3-none-any.whl (5.8 kB)\n",
      "Collecting pandas>=0.25.0\n",
      "  Downloading pandas-1.0.3-cp36-cp36m-manylinux1_x86_64.whl (10.0 MB)\n",
      "\u001b[K     |████████████████████████████████| 10.0 MB 24.9 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting scipy>=1.2.0\n",
      "  Downloading scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (26.1 MB)\n",
      "\u001b[K     |████████████████████████████████| 26.1 MB 38 kB/s s eta 0:00:01    |███████████████▉                | 12.9 MB 33.9 MB/s eta 0:00:01\n",
      "\u001b[?25hCollecting matplotlib>=3.1.1\n",
      "  Downloading matplotlib-3.2.1-cp36-cp36m-manylinux1_x86_64.whl (12.4 MB)\n",
      "\u001b[K     |████████████████████████████████| 12.4 MB 12.7 MB/s eta 0:00:01     |██████████████████████████████▊ | 11.9 MB 12.7 MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: six in /opt/conda/lib/python3.6/site-packages (from patsy>=0.4.1->plotnine) (1.14.0)\n",
      "Collecting palettable\n",
      "  Downloading palettable-3.3.0-py2.py3-none-any.whl (111 kB)\n",
      "\u001b[K     |████████████████████████████████| 111 kB 9.5 MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: python-dateutil>=2.6.1 in /opt/conda/lib/python3.6/site-packages (from pandas>=0.25.0->plotnine) (2.8.1)\n",
      "Requirement already satisfied: pytz>=2017.2 in /opt/conda/lib/python3.6/site-packages (from pandas>=0.25.0->plotnine) (2019.3)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (2.4.6)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=3.1.1->plotnine) (1.1.0)\n",
      "Requirement already satisfied: setuptools in /opt/conda/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib>=3.1.1->plotnine) (45.2.0.post20200209)\n",
      "Installing collected packages: numpy, palettable, pandas, matplotlib, mizani, descartes, scipy, plotnine\n",
      "  Attempting uninstall: numpy\n",
      "    Found existing installation: numpy 1.15.2\n",
      "    Uninstalling numpy-1.15.2:\n",
      "      Successfully uninstalled numpy-1.15.2\n",
      "  Attempting uninstall: pandas\n",
      "    Found existing installation: pandas 0.22.0\n",
      "    Uninstalling pandas-0.22.0:\n",
      "      Successfully uninstalled pandas-0.22.0\n",
      "  Attempting uninstall: matplotlib\n",
      "    Found existing installation: matplotlib 2.2.3\n",
      "    Uninstalling matplotlib-2.2.3:\n",
      "      Successfully uninstalled matplotlib-2.2.3\n",
      "  Attempting uninstall: scipy\n",
      "    Found existing installation: scipy 1.1.0\n",
      "    Uninstalling scipy-1.1.0:\n",
      "      Successfully uninstalled scipy-1.1.0\n",
      "Successfully installed descartes-1.1.0 matplotlib-3.2.1 mizani-0.6.0 numpy-1.18.4 palettable-3.3.0 pandas-1.0.3 plotnine-0.6.0 scipy-1.4.1\n"
     ]
    }
   ],
   "source": [
    "!pip install plotnine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'property' object has no attribute '__name__'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-b391a103fcc4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmatplotlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mplotnine\u001b[0m \u001b[0;32mimport\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/matplotlib/pyplot.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mcycler\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcycler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 32\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolorbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     33\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmatplotlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrcsetup\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstyle\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/colorbar.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmpl\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0martist\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmartist\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcbook\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollections\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     56\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 57\u001b[0;31m \u001b[0;32mclass\u001b[0m \u001b[0mArtist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     58\u001b[0m     \"\"\"\n\u001b[1;32m     59\u001b[0m     \u001b[0mAbstract\u001b[0m \u001b[0mbase\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mobjects\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mrender\u001b[0m \u001b[0minto\u001b[0m \u001b[0ma\u001b[0m \u001b[0mFigureCanvas\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/matplotlib/artist.py\u001b[0m in \u001b[0;36mArtist\u001b[0;34m()\u001b[0m\n\u001b[1;32m     62\u001b[0m     \"\"\"\n\u001b[1;32m     63\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdeprecated\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"3.1\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0maname\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;34m'Artist'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/cbook/deprecation.py\u001b[0m in \u001b[0;36mdeprecate\u001b[0;34m(obj, message, name, alternative, pending, addendum)\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0mBasic\u001b[0m \u001b[0mexample\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 167\u001b[0;31m         \u001b[0;34m@\u001b[0m\u001b[0mdeprecated\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'1.4.0'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    168\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mthe_function_to_deprecate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m             \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'property' object has no attribute '__name__'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from matplotlib import pyplot as plt\n",
    "from plotnine import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ".... ok seems like the environment is still not working - so lets use matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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