From 158ac45486a7bd80c2968ffee3e597a7a9dc98c4 Mon Sep 17 00:00:00 2001
From: 8af936f0a98530ad3530092bbc37987a
 <8af936f0a98530ad3530092bbc37987a@app-learninglab.inria.fr>
Date: Tue, 23 Feb 2021 11:53:14 +0000
Subject: [PATCH] =?UTF-8?q?module=205A=20(toujours=20un=20probl=C3=A8me=20?=
 =?UTF-8?q?avec=20le=20chargement=20colonne=20week)?=
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---
 module3/chabert.ipynb | 75 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 75 insertions(+)

diff --git a/module3/chabert.ipynb b/module3/chabert.ipynb
index e646b02..6bb58f4 100644
--- a/module3/chabert.ipynb
+++ b/module3/chabert.ipynb
@@ -2242,6 +2242,81 @@
     "sorted_data['inc'][-200:].plot()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'pandas' has no attribute 'Timesstamp'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-52c3a93be072>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimesstamp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m: module 'pandas' has no attribute 'Timesstamp'"
+     ]
+    }
+   ],
+   "source": [
+    "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
+    "                     for y in range(sorted_data.index[0].year, \n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_august_week[:-1], \n",
+    "                       first_ august_week[1:]):\n",
+    "    one_year = sorted_data['inc'][week1:week2-1]\n",
+    "    assert abs(len(one_year)-52) < 2\n",
+    "    yearly_incidence.apprend(one_year.sum())\n",
+    "    year.append(week2.year)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yearly_incidence = pd.Serie(index=year, data = yeraly_incidence)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yearly_incidence.sort_values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-- 
2.18.1