diff --git a/module3/exo3/Exercice_evaluation_pairs_sujet_1_CO2.ipynb b/module3/exo3/Exercice_evaluation_pairs_sujet_1_CO2.ipynb
index 7c815f09ffc041e8c13de9dc936fb1a7d36187fe..371b3a9af3db52128ed07e15b48ebce04951c5ca 100644
--- a/module3/exo3/Exercice_evaluation_pairs_sujet_1_CO2.ipynb
+++ b/module3/exo3/Exercice_evaluation_pairs_sujet_1_CO2.ipynb
@@ -2,13 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
+    "pd.options.mode.chained_assignment = None  # default='warn'\n",
     "import isoweek\n",
     "import os\n",
     "import numpy as np"
@@ -23,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -945,7 +946,7 @@
        "[2590 rows x 9 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -964,7 +965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -1010,7 +1011,7 @@
        "Index: []"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1021,7 +1022,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1319,7 +1320,7 @@
        "1782              -999.99  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1330,8 +1331,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -2233,7 +2236,7 @@
        "[2572 rows x 9 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2252,8 +2255,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [
     {
      "data": {
@@ -2322,7 +2327,7 @@
        "Length: 2572, dtype: datetime64[ns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2341,7 +2346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -2369,16 +2374,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
+      "  series.name = label\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa136e85128>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f46fee79d30>"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2408,7 +2421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2418,21 +2431,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3395,7 +3398,7 @@
        "[2572 rows x 10 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3407,10 +3410,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3740,7 +3741,7 @@
        "48  2022.0      418.514615"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3757,30 +3758,13 @@
     "yearly_avg"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "TODO: add yearly average to original dataframe, rescale yeartime to weeks (52)"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  \"\"\"Entry point for launching an IPython kernel.\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4867,7 +4851,7 @@
        "[2572 rows x 12 columns]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4880,16 +4864,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa13c078d30>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f46f8d2ff28>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },