diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 450ed7884f431c55e21d1b18b137a856ebe9d60c..42b68207a13a16b64b5527207f410f60355f6e52 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -30,7 +30,6 @@ } ], "source": [ - "%matplotlib inline\n", "import urllib\n", "import os, gzip\n", "data_url = [\"http://mescal.imag.fr/membres/arnaud.legrand/teaching/2014/RICM4_EP_ping/liglab2.log.gz\",\n", @@ -73,11 +72,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "hideOutput": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "377 lines failed parsing in liglab2.log.gz\n", + "63 lines failed parsing in stackoverflow.log.gz\n" + ] + } + ], "source": [ "import re\n", "import pandas as pd\n", @@ -118,25 +126,189 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'data' is not defined", + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Cm7R0M13dPXz7DzM47YaXmbZyG3XDx/s2Dl+86w3++Z5p/OIvi7j0kdm96T09iqry9d9N43evN/jKy4vte9q5d3ID6tPV39Laxmdvn8yI8Ut70067/mXqho+ncdte3/mkM33Vdn70+FxueG5RzmO27Wln3Oz1OfdPb9jGlOVbaN61n99OXEnDFu+XeD7GL2hmt1s3O7p6uPiht3j27Q0AdHZnOl8/GTcfcAz1K1n1NR8tezs4f9QMrnnibSYu2RxaCHDe+p0sad7NrROWFj44ZBJh3L/x+2l8+w8zCh+IY5Dyoaq9b9k7X1vBK4s39e5rcT30nh5lztodRUoLb6xwvP7RU1cD8NaaFn7x/GJ+8ZcDD9Gnbnudf75nGis2t/Ls2xv47aSVALy2ZDP7OkrzLlIvho6unl4j/tC0NXzkplfZuHM//3DDK5z+iwMvwEL1fH1aqybbk9/sNp17epRB17/MB248kG99Y+F7uCzPyyKd59yHPfVQTlh0oNw+MWIig2+ZmHH8ZWPq+eJdb/SW431THEO8eONuX9fL5rTrX+bih97ifT+fwKk/m5DzuOfn5a9/Kf776QXc/tflvuvZTrfn1KPTG3vTOlwv/pw7pvDYzLWe57V3dWc4FXPW7uD+Kavo6u7pfSE+lSfcceVjc/jpMwsy6kA6lz46m/94ZDb/+JvXGTlxBRc94ITqfjtxJUs27i744lm1dQ9X/XkuP37SMdrLN7Xyt5Xb+hyXKvdUK+r8UTP44WNzc+abTeo5mLRsC5f/sZ6HczgRgYkxDJcI475h5/7A53T3qKcX8eTs9fzLPW8ycUnuuT+emtPXU3k17SUQlP1uxfrLvL6Deb88cmrv7xWbW/n+H+v5zoNvBcp/SZbBatpx4H51dvcwu7GFl11jmH4vU152ofr5mf+b3NuqefytdRn7/vOJtwF4cNrq3rSHp62hbvj4PqGuFKmm9ovzPQc3e7KkOVNHPx+7G7f7/14yZ+0O6oaPZ976ndziERrq6O7xNDop1rnXuuNVpwW2Yed+Vm7O/eJ6fZljpLpC8iAnLu0bOgI4/Rev8JGbXu3d/n/3T+d/X1nG31//MteMnZdx7NbWdta4IbLHZq7l0kdm9d7nXHK2Z4W8trS2U9/YwsiJK/ja7/7GOXdM4Zk8DleqDm5062XD1sx7lt0brEfh8jGzCcKW1jY+ddvrGWn3TG6gvvFANGB2Y0tJIR/J1eshQqreuBeKl17/3EL+NKOxT/qFo2fyxbve4Oksr2TFZsfgN27f2+ecrh7nWq1tfT3nX71YeJa/595uymgqBm0ppzyst9dlxu/Sq82jb65hxqrMWHfqo+/Kza20dXaztuWAbr95eRnnj5rh6SGme9mF2L7X25imHr7HZh4w+r/OETdPMez+GdQNH9/7YsjHefe+yZ9yeKWlMH5BM1em9TSa4nqEU1ds5cEivLrP3j65T9r5PlubYZBqLaazZXdboDo45NaJfP6OKQDc8JdFTF6+lX0dwePxqRdXioVNO1nfso/XlxWeTG34Mwsztv80o2/Z53qRgdNiuPSRzEHzz7/d14nYtb+zNxzY06OcP2oG333Iv1M18rUVLGjayauuk7ijhBdDsRQcxFTJrNq6hy/kiNWmSHmSF/9jXUb6LPet/Py8DQz7+Mm+rnfHqyv44/eKn8H4v9ymZYpUs9fvO92PE3eT+5JpvO3rGen7Orr40sipHP3O/hle1p+zPG3Pmd98WIDXl27hQyce2Sd9zVbnRZLLS/di4YZdvo5TVeav35nx/SEsrvqzd5M+zN4u7Z3hffzMyLerm0MPLryMQmvAj4deum/xaCG9lqfVC3DflFV90s69eyr7Orr71Nvea7v/s1sCQWPjIyeu6JPW2ZO/HFJXyG4B56Kts5vfTlrZG0oF/+HFMKlq476subw3rCFPM7qYj5ovLWjmM4PWcfwRAzLSg1ZYEeG6p+ZzxIDcUxCkDMmOfZ0cMSB3sXvpob37civZksMzaW3vom74+JznlUKQsEqpRNGojmpmi537Ojn+iPKukZOuyvf/WB/4/FQLYMfeDo5+1yEH8i1wjxRl/AL/H0498/D5uFVbL9aqD8uUk5RxC9N7+5+sZibA3oAfTFWVp+c08fCbazLSiiP305S+Jzv/OGKKPdZp3JPs1lguoiixFXkcID+s3tY3HJrCqyeWau5WVlhU7uxS+alq4+71Vp+wsLmkDx9xkO0R5/qYG8SWFWv3PD0lH3lV8PxqoaIh+m9R3bLiX+ylk94BwC8d3f7k9eol5jeEl49892v8gmbe9/PcvZ+KZfLyLTxVn7sLaRhUtXHPZtOuNn70+FyuDNAFKgj5DFiYxi1XVCZXJcwXLuk91+e18+WUfplKcJrDlKFgXhG8vdLL7fIx9fzlbX/dJJPGE7MKtzRy1f18PZT8kq/s07uuhlnfLn1kNv/99ILwMvQgUcY91YWumK6RKXL1B4YDz7eX91ZKWCIKDy5fPfTzMsjMq29uFWDbYyGql9rEpZu59sl5hQ/0g8/yDVoPykG2SOnPVVR1Lql1uaqNe66qmavp3OPjQ2VHnuHbqYoWl9ea62EM2sMl3z6va6QOz3jQ+sTcq5tCdi6SD6ohHRPGOYY31Wz4q9q4Z1PIey7U5alg/r2ee3WTz2PzHZYJT5zAbGntOw1EVGQPkim33sVcrwId8oqmEkKMUVDVxj1XJY6qsKJ6ZrL1yOVZB/lQlj8s4zsb97r+0srFt3vnmglPiFz6pOLBkRjMmI1wmJeP6oVSjhdVmB/JK4mqNu7lJl9XyHJUwpxhGa++6Xnqa7593v3cnRPEIy0Oiu3fXswsjX3GHCTVzSuRctwWu/XBqHLj7t/YhUnYhq3cfcTz9Q/PJ0u+3jLVEArIN0tj4Zh7FSgYkGoos3KQ1JdGlRt3b6otLNPnOjmeumBhmcxj/Z4btBWQRNbkGUgT5q2ILMwXw4sorBdFzk4SNVYHwyCRxj0IuQzpdq8FOGL2dHLVb6+HOW/opWgJDpyZ7f3H0a0uqn7ub6QtvtHbU8i83LKQXaTlibnn2VdEHcslc1tnN6tyLEoTBVVt3KP8oLrXY1Kl1OXC9iL8flANi6C5m9MUDVG9EP1mW32hpohqYpmaBT8eN48v3PlGhm2pGz6e/31lWSTXq2rjnk2Yz4pXVsV2IQxKrqqWqw4G/gYQ9IOqh/faJ+YeTIKKI1fRvr2++EVZir1mNVJ9L4oDlMt5me5OxZ09Tfn9HrNkhkFJs0KKSCPQCnQDXao6WETeDTwJ1AGNwLdVNZInJGh1KvUFfcBz9xihWmFParaIGZv5plHwHhLV57QkT9qVrtmEhcUvwhIGUQ5iCrPKhtXJIOjAxDBIalUOw3P/vKqepaqD3e3hwCRVHQRMcrcrliD1O7K+vNFkWxT558+Jfih4EPzI4LfJ63va1xAVr6Ryr1QyR0UHPz/MBcOz2d/RTd3w8Yx6IxrPu1SiCMucB4xxf48BvhnBNYDg3nKFOdeBCeK95DvWayWpFH7vUbV4O8U0eT1DcqWLUjaqvZ6nU6rHPq1hW8FpR4Jco2HLHh5xp9beud/pdPHom40Zx+QKUZX7mSnVuCvwqojMEZEr3LTjVbUZwP1/XInXqBjyzS1Tac9TmDHxue6yfhl59OnWUMIFKgC/UyuEOuVviLN5ZpwTw4u3UmPulz4yO2OdgxSfu30yj7rp+e9X5s5v3fsmv3pxia95qnJRrpdvqcb9bFX9GPBV4CoR+azfE0XkChGpF5H6rVv7ru8YN14PXt5CqbC6nV31/E/521eRFrdbaKYBzJ44rLq7QhaimrzhKGT1My1vFKTXq2L1Wusxonnt9n29S1IGIX1pwmI7OJSr3pZk3FV1o/t/C/AcMATYLCInALj/PVerVdXRqjpYVQcPHDiwFDG88s6RHlL+vhPDvEDI18hB0sIyfokj5h7V9aL4uP+zZ/uuGFZuir33BY1tgLy8bm2lvviLNu4i8i4ROTz1G/gysAh4AbjEPewS4PlShaw0PCtZKQUcQeUotq98NcwKGTVP1Tf1SYvCYPrJ8cIHZgbO10/Zq2pF9niK4j5Pb9geep6l3LlqCMscD0wTkfnALGC8qr4C3AZ8SURWAl9ytyMh6D3Kt/izv/PdmLvnYh0hEkJmUT+2feZzr1DvxS/p8i9pzr3KfajTD8R4z370+Fw+d/uUos6NYxm/Ui65ette6oaP56UFG0PNO3VajyrD7p/OlOWeQYrYKLqfu6quBs70SN8OfKEUoSqBR6c39kmLbIRqtjWP4NnxK3PerpAZ0w+UKFAIJHWq1lLx4/2+vCje/vt+Samyckvpw/afnO29Zmkx9ai7R3nabeG1tnVRv3YH1z45j3k3frliPi5X9QjVMDyfSujnnk2uytYdZOKwou1eXut+IP+EGdZ4Yu7BK9RT9et5ZVFzmEIEJsopr/OuIFZy3qWfk1LzsZlrGTlxRcC8yvvMlDRCtVIJMnw/SKWMO/TQvCvACkRF1iPfOibLthck7rJPkVpUufG2r2ekl9NuRHmpaPPum/tPn57POw/xbwZFBFR7e5BBdC36Uql5z70Ywi7DUvXwU6n8Tyblb18l1OMwm7+F7k+qX3O4/dxDyyqDYjzECQubS/Isq2GabS8Zx9U38dfFpYWo/H4ELvcUJVVt3MvNQb2LqFbB3DJpRqhlb0foD18lTBxWztDQ6KmrAXhpfnghkXAnmyvtXvzo8bm+4/BxfFB1rhvN+UHKoTuCl3xUJDIsE5Sv3D2Vyz/zPoZ9/OS8x/U2v0K+vu/KFeDC6RU5yPwaeWe+zJhbJlm9ZQoZjt3ulA0793nM818C1z01n8MOrYzH0HMNAw88ewJH1QoJNa/wcntjxYGBl/kmFMy4vsXc/RPGHA4CLNvUynVPzS9o3MtlwUL3sgMc6zssk5Xp3vZuHn9rbYArVScHhVgHRODpOZl96ve0d7Fhx/7QrhGICggaRylCmHnv3n9gpGp7V7DJycrVm6aqjXs2xTx3Yc3dUY753IvNQ9W/1+J7hGrWtlfX0Sjps3B1ifj+JhFiQW/e3d4n7dJHZjG7MfgM2WEYLr9ZlHXahxDzyiV2vtZq7nMO/O6IcObJUqjumHuZQwF+R28GztfnyYFmhUx7AoOMRPS/QHa8Xp6qxjNBVsStN7+GfeqKzPmYwrgXXd3+Mok23qw5t0qtc10hGmGvWpCS7rUlm0O7TilUt3EvM9UaVw4UpqqSuWXCvrxffQ4qoQ405ll4Oyj//vCsnPuKfQH9+qXgE2mFTZT1KjW7adRc9ee5ZblOIarauIdhawMNYnL/+/FcWvZ2cO7Iqb4e6L5rqHofF6Tia47fpVDqwglhElfXu1Ji7tc8Oa/ocyuJuMs+bKrVaStEVRv3XOQyvqVWytScI37yGb+wmeWbWxn9t9WBrhFWuCM9m7DyrLSHoJBa2WtV5mPGamdyqUJ3qtLugRdxh8xKId+nlCAjtKPGs3VUOeIBVW7cCzU/W3x27fJLW6djLPa0913JqO/8ME5J+2nGp9fZU382gbUt3t5+KXWn3mcsN98t7e5R7vjrcnbt64y9n6/f1lP4FG/dq+C9EDuN23O3dCNrrRVRMMWUZbmfmKo27s/M6Ts1KziV4Nm5TXzs5tciue4fZ/Tt8pfdlzzlgfhpxq/NqtDLmluLF84l3fipei9Y4EW+F+arSzZxz+QGbh6/JPaJw/w86K1tnaFft5SYe5Rev5+X3YxV20O5J1E60PWNLTn3xTJQLoeyW1r79nTyTRVM+Rs72c20dMM0rWFbWWXp7Mk27inPvXBJzlydWaFDMQJptyasebvXtTj9r9s6u6ui6Z9qaQUhypj72xF90Ovs7vFlcC98YCbXjC097h9lqy3baUjXqytujyINr9Z7sdJF9dKvauN+2nGHZ2xnGByfdzpoz4LvPviWZ3rLnswQQKoe+sk++2EJakAKqdoToJ97th7ptHV0916vEh6zQjp1dHcXkWd+SvHc/RD0Qa9vbGHQ9S/zpk9nZuWW0luFUZLtiKS3iHfuD78lBuENKvIy+J6U6eGpauOeNz7s4cp4GYPXlwWbYD9Xi2Cva/h2t3Xyr/e9yZptzvzTj2StjMQDJ5gAAA7gSURBVO5Jlli5jHsQDzyzt4z/815ZnGfuFFeslxc2syOSeLZ//NyKoCMH/RB1P/egDaK31jitPr8t1X4hyF/OUaTpZRhVa3F3BOG7SqC6jXv2dlrFjasFN3HJZuau28ljMw8sKPzq4k153+rZL6Jc3uHmAFP+ZvaWgWfnbvB1Xr6PkLNcQ9KjcNmYet+yxEV7BGGZSuotM272em7/63LA/4jdg0JoekT5aOXz3KNi574yG/cy1aGqnn4g+0FLdX3b0tpeUTHhK/40h6995D0592fHEnN57kG7VaZQVRp8rmSzbJO/ZvuuiJrIfvHTGmnvCh6WKfTg9Ys6LhOAnz6zoPd3eh3K17o4OCL5w3rpZb+jymHc81EOKxJVjapuzz2rRi3euKv3dwXZdiB/b5WebOOeo1SCfCDM7i3jlzCa7eVAtbBexYRlCsVfK/XupNehfI7N3vYiXnhZROk4LWjameGIBBmrUAncO7khbhF6qWrjnk16RfCKT8dp8PNdO1vWXJ5X3THvLOp6QdQOo9leDvzotL+jdEOWTaPPLqVh4seYpof28h2+YWfpM056ZV/Ks5Ver9du38cX73qjt8tm+jMd9mRxUZAKk3mSQ/yovuNUtXHPvif70h7msLr/hUU+abLr7O4cIY/+/byL6/evr+yTNtMdcenk7/9eVI/nXlinYrrDVoMB8SLdc49jJOdFD84s+lyvF+ZHbnqVTbvaMmZcrNKiiY3qNu5ZjeS2zgPGvXFbcA8rrq/m2WGZv630Nkq56vYf3ugbi09fb/XuiX2Nfy4O7pd5Ty9+yLvrZ9z4ec5fWhB81aSn5qzvk1ZU7D5EgvYMemjamrzHTl4erIdYNl6hkvUt+1m0YZfH0cXz65cWsyotRHPflMoJeRRFDr8pKncqUR9U0z335ZszPwwu39TKCUcNyJvfV+/+W0nyrNq6J2dvk6XuvDReZHtaAw8/lK0eI+CCeODFfvDM/pib60WTVLymvf3OA/G+4N738wl89cPv4ZZvfjjnMenGvbUtf3/rSx+ZXZI8uT5yhu0cTViYuezf6q3hzaoZCzke36gGZ1W3cc/a3pcnxnru3VO54rPvy5tfqfHIL9z5RlHnZceGP1F3dJ+KDcHimqk1P4Myd13whSLiYO22fWXrlli/Nv578vKiTXl7MrV3Ztahb4+aEZksnV3eFdFvj6xqYvqq7YUPCki56m1kYRkR+YqILBeRBhEZHs01MrcXbsg/vPvlReEtbhwm2V52Lq+7HN07C3l9lcL4hdGU5YQKrSMAa/JMH70xawzErDxztJRKrjBVtfVs8UOYOrW6Y12G3T89tDzzIVEYDBHpB6wAvgQ0AbOBC1XVczWAwYMHa3198EExD0xdzYgJS0sR1TAMI3Yab/t6UeeJyBxVHey1LyrPfQjQoKqrVbUDGAucF/ZFjnxH/7CzNAzDSARRGfeTgPRuB01uWqicP/jksLM0DMMoK4OOOyySfKP6oJpv/VjnAJErgCsA3vve9xZ3EZGimzOGYRhJJirPvQk4JW37ZGBj+gGqOlpVB6vq4IEDB0YkhmEYRm0SlXGfDQwSkVNF5BDgAuCFiK5lGIZhZBFJWEZVu0TkauCvQD/gYVVdHMW1DMMwjL5ENohJVScAE6LK3zAMw8hNVc8tYxiGYXhjxt0wDCOBmHE3DMNIIJFMPxBYCJGtwNq45cjBsUDSp0asBR2hNvSsBR3B9Ezxd6rq2Ze8Iox7JSMi9bnmbkgKtaAj1IaetaAjmJ5+sLCMYRhGAjHjbhiGkUDMuBdmdNwClIFa0BFqQ89a0BFMz4JYzN0wDCOBmOduGIaRQGreuIvI4XHLUA5qQc9a0BFqQ89a0BGi1bNmjbuIvEtE7gGeEZGLROTUuGWKglrQsxZ0hNrQsxZ0hPLoWbPGHfg1cARwC/BR4LZ4xYmMWtCzFnSE2tCzFnSEMuhZk8ZdRA4DDgd+o6pTgRHAQSJyQ7yShYOIiPv/XSRYT7CyTIqeYGUZtp41YdxF5HQRGSUi14jIEaq6B2dY70UAqroT+F9gmIi8J05ZS0FE/l5E/gBcJyInqupe4D04i6UkQk8rSyvLaiOusky8cXdjWY8Bq4AzgVEichrwc+DbIpKal2EBMAWoykVZReQm4BlgBXAa8Li765fABSJyrLtdtXpaWVpZVhtxlmXijTtwOrBNVW8HfgAsA/4d2AW8CNwFoKodQDewNSY5S2Ux8FVVvRP4CbDN9Ybexqk0SdDTytLKstqIrSwTa9xT8S1gEdAmIqeraifO6lDvAD4D/AL4lIj8QETOBT4L9MQicImo6lOqulFEPgYsB44Cbna7Wl0LnC0iP6xGPa0sk1GW4uJuJrYs03SMtSwTY9xF5N1pv0UPDL3tj9Mk+jSAqtYDTcCHVXU/cCnwTuBXwN2q+lJZBQ9Itp4ehxwCXKeqX3J/D3f1/Hech6fi9RSRgSJyfGo7wWWZoacHSSjL40Xk8+CUY4LLMkNPj0PKX5aqWvV/wNk4TZrvuNv93P/nu/8vBe4EhrrbQ4GFccsdop4XAAd5HP9RYCFwWNyyB9DxemAlcE5WetLKMpeeSSrLXwCNwA+BdyW4LHPpGWtZJsVzF5wPMzcBqGq3iJyE8+UdYDKwCbjR7W5VB8wSkXeWX9SSyKXnkcAAj+NPA2YDFT+BkIi8T0TeAD4FfFpVp6TtOxE4zt2s6rL0oedRVHlZArhhiKHAGao6Sp0eIojICSSkLKGgnkcTZ1nG/dYr4W0pab/PAz4PPAvc46YdmnX8QcAdwF9w4n1D4tYhIj2PBP4R58GZBHwibh186nkc8BTwZXd7EPChdP2rvSyL0LPqypIDrckvAXe6vz8J/AtwSlLKsgg9y16WVTUrpBtv/ldgjKp2ikg/dbzX7+N46Q8CDTgfJlpUdb173rtUda+IHAQco6oV/eW9BD0PVdV2Efk6jp5/jEuHQmTr6KZ9F/gijgE8FtiIE4e9V1WXusdUdVm6aX70rPayvBTHERmLM0hnKk59/bGqTnaPSUJZ+tEznrKM+w0Y4E15Hs5agkuBa7LenpcC/+T+nonzxfkynDDGiThzIr83bh3KoOcDwElx61CMjm76wcA9wK/c7UE48cyR7vYJ1V6WAfSs9rI8BFgHjAOOc9OuBOYnrCz96BlLWcZ+0wLc3I8D38P5uv4izsKwqX2X4QwCeAt4AdgMfMzd907gyLjlL5OeR8Utfwg6Hp117FXADQksy0J6JqEsfwA0A+9O6YwziOddOLHopJRlIT1jKcuKDMtkdWVMT++Hc+P+GydG+VM3faibNkZVXxCRK4FvqGpFj2qrBT2D6ph1zInAGOBpVf1D5MKWQC3oWYyOIvISTqhiKY4RbFDVa8skclEkRs+434geb8hDsra9PjQNxfFcz3G3B8Qtt+lZso6fS0sbANwPzAP+M249TM+SdDwF5yPjc8BVcetRS3pWVFdIEflPnK5QvxaRf8lz6DLgDeB8d/vvROTgtHy8BvdUDLWgZ7E6uiMW24BXcLoK/j56aYunFvQsRUdgs6q+AAxT1Xujl7Z4Eqdn3G+XtDff53BiyR/D6fxfD5zt7uvncfwxwCxgDzCSrC6BlfpXC3qWqOPvgIPj1sH0rJ36mlQ9e73AOEh18XM3BwJ/VdW5wFwROQq4Dzgz7RjcblOHAI/izIl8sao+V17Jg1ELetaCjlAbetaCjpB8PWMJy4jIwSJyK3CrOBPmAHTh9A8FQFVHucde4f4/yE3vUac5+4SqfqBSbyzUhp61oCPUhp61oCPUjp5xNX/m43xIugxnGO6n3X3Lcd6EqWO/DrycdX6fDxyV+FcLetaCjrWiZy3oWEt6qsbzQbUHuENVr1TVh4DpOAMEAK4DbhGR1HwMzcBS900rkHPGtUqkFvSsBR2hNvSsBR2hdvQsfz93cSYF6ga61BlSfyHOLGnDVbVHRB4BOoCJOF+jd6vq5WUVMgRqQc9a0BFqQ89a0BFqR0+IIeauqvtUtV0PfKQ4F1ivqqlJ6q/F6UP6b8Dyar2xtaBnLegItaFnLegItaMnxOC5917YGe2lwHjgalVdJSIfBhpVdY+IHKLO0lNVTS3oWQs6Qm3oWQs6Qm3oGecgph6c1Vi2AWeKyIs4awweDL1rCiaBWtCzFnSE2tCzFnSEGtAz1rllxJkrZbr794j7gSNx1IKetaAj1IaetaAjJF/PuI37ycDFwF2q2h6bIBFTC3rWgo5QG3rWgo6QfD0rclZIwzAMozQqauIwwzAMIxzMuBuGYSQQM+6GYRgJxIy7YRhGAjHjbhiGkUDMuBtViYgcJSI/cn+fKCJPR3its0Tka1HlbxhRYMbdqFaOAn4EoKobVXVYhNc6CzDjblQV1s/dqEpEZCzOVK3LgZXAB1T1wyLyH8A3gX7Ah4E7cVbOuRhoB76mqi0i8n7gXpwVePYB31fVZSJyPvBLnJkDdwFfBBqAdwAbgN8Aa4C73bT9wKWqujzAtafgLIo9BDgC+J6qzormThk1i1bApPL2Z39B/4A6YJHH7//AMcaH4xjuXcAP3X0jgWvd35OAQe7vTwKvu78XAie5v49Ky/OetGsfgbv+KY7xfybgtacAD7i/P5uS3f7sL8y/WNdQNYyImKyqrUCriOwCXnTTFwJniMhhwKeAp9w1GAAOdf+/CTwqIuOAZ3PkfyQwRkQG4cws2N/vtdOOewJAVaeKyBEicpSq7ixSX8Pogxl3I4mkzxPSk7bdg1PnDwJ2qupZ2Seq6g9F5JM4S6zNE5E+xwA34xjxb4lIHY4n7vfavZfKvnQefQwjMPZB1ahWWnHCH4FR1d3AGje+jjic6f5+v6q+pao34kwHe4rHtY7Eib+DE4ophn9zr/dpYJeq7ioyH8PwxIy7UZWo6nbgTRFZBNxeRBbfAS4TkfnAYg6so3m7iCx0852Ks5jyZOCDIjJPRP4N+D/gNyLyJs7H02LYISLTgVE4CzUbRqhYbxnDKDNub5nrVLU+blmM5GKeu2EYRgIxz90wDCOBmOduGIaRQMy4G4ZhJBAz7oZhGAnEjLthGEYCMeNuGIaRQMy4G4ZhJJD/D28wbcpYlQVEAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "df = data[filenames[0]]\n", + "df.plot(x=\"timestamp\", y=\"ping\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On constate de très fortes variation avec des pics dépassant les 150, bien loin de la moyenne qui semble être 80." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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e9kqTTH9hZtMTfxxWbd5N/xtf5LkZkeMUps6whyZxxyv7OwD8+o1FfC8sVaXVv46Zxr/970ymLt9fXfHXVtqwlmzY2eLnpWhG5dZiJyF2FkMRoiE4QHCR19jdjTqnWIErjl+cGZwrOsS0mXYRIDx6pPB9bnp6Fm8trNo3V3PFwFueCUoMlz38Hmu3Nn8j3G/GLc4rnY3NC3uQPDe9PALE7r1Nu/k1FInTqqFOO+3foz2K+1Q9MyKILm10MdDauaitJi0JqlHjCkTtIkC0ZvTkFfzTY5P3tQ1E/bQN1UkAq7bs5s62doXNwZsLdcNdqWq4CH12+qriJiQB5dCTKbPUUIw2vrT9hO0iQGQbTRuie1TR8/eTlh/wvlNMdXzZqMmyDUWKp/GVYjlofDJL28mtNYWu7omS1G8YV/BrFwGiEMW6uK8+yu3gi1KMK9DaOlX9xKXcdtFClyDqvemZp9C9mBrE9dXaRYDIVns4SZeaQh+kf56ysvWZJCvlUMW0bltyg2j+8b0ViW2rsTga4EEB4gC57P5xn9dyzc/X564r+F2ZcSvG6WVHdW3rM7XB/DIbiqIl6Q8P8MD4/R1ICl3BFHV8pi3GKkBEKJX705pLx/bqGq7+3RSufOL9RNNTCOV6M2CUtJ0cUpbcnBV634tafaF7McVNASJDLkXoQrRBzMqyr3nDjX+N78cQKaTmDo9F67dzxWOTqa6pY/feOt5dtCHZhOWtsBHCaXpOUSN1iuWSeYXoAbFh557WZ0qxtF1By4Gau/r98V/m8ObCKqYu38y/PzWTyx55L9aB8AqlGKXX5Bqp1QZRVEkUFVvbgXXCbV0pVWGVUlrykc3+tjB8xknj559IIKlDViWIHBTiRBr3OqMytLltpP1E016lLaD/qYi9cJLQIYEDqXGWp20faBcBIlv77qTOYr+JO5/TtuPkI20NdHKgcttHCx0eotev+yBKTrYXCvtPYK0vkMTBkpnu/je+WPgNikhBpS3IlsRw32a2DNgO1AG17j7YzI4E/gz0B5YBX3P3vJ7wkbZMyVY53LhUjOEODtx+cjam7L6VxsqtBJhEVW3jQzSpJ52WYxvEBe5+hrsPDt/fCIx194HA2PB9QRX9fJvl9ot9Ui0nxc7yYvhgxWb63/gi63O8q7iYx8ftz82JfZ3FGawvoSqmdnAn9cXAqPD1KODLhdhIZobllnXxZnTU2sotELT2DG5JxuPh40MnLtmY03LFDKYND9aKU1EG60toO+XWBuHAq2Y21cyuCacd4+5rAML/R+e78lyDaTbzx/3YanfPOlfLragvycr35FEOVZoHKPSd1Dn0TCxVJdEGAZzr7qvN7GjgNTPL+snyYUC5BqBfv+hnHLeUKZmfFfMAyGXLadvJWlL44Q5a3kB5ldEKq4x2u0REHaeJXdyVUxuEu68O/68HngGGAOvMrBdA+D/yqTnu/pC7D3b3wT179mxbOnKaN+YqJs8xAbnPLhH0G2avnC5MoPD3QUT9XIkNtVEud1KbWTczO6ThNfA5YDbwHHBFONsVwF8Ksf3M/GrpiXKlpMyOU0lYw3mx3E74uSrGfRBpG4upFKqYjgGeCVvdOwJ/cveXzex94EkzuwpYAVxaiI1nU60U9fzp+DM6hzaIcOOlHsikNDXsNzmXgtt5QIlD2toPix4g3H0JcHrE9I3AZxJOTeTUbdU1Wc7Zhi1HrLC5q4Dq2qCFXOPdtJ2CbPZaO7ll7sNpGA6mnJ9JXW69mIomM7+27q5pMg2aaWyKOaM9asPNGDM5GCMnqZtuCikF5xEJlVuVVKG7uUa2QRR0i/uV441yRXfLM7MBqNre+rDbBWmkzlJNXZkdqQXU6oi4ySQj2FaJnWFzTc7bizawa2/zpdbM3/rpDyrzTFVyCl2CiPp9Ndx3ymTm1/ZmHk9ZrHrD5nbgxul54p2lfPSWvyaQIikH+d5l+6+jp/HD/52Z1bwPv72U7/5hKs/PWJ3XtpJQ6NJr5POvS+saoVXtPkBkyum4ibuKKYcb5Rpv+/bn57K3rr7krlCltOWzuyxavyPref86ey3Xj56W+0bKxISIJ+sldbGpKqaYZGZYs1fskTe8xJ0OeHbaqqznjZyexvhQ5NbMJLdeKvmzvxdTvNxh/trtMa+1gNRI3ap2HyAyZd44U1u3fyyNJDLVHd6YF3kvYNbq3XlzYRU1dRrzKFtJnrOTqn9uVRvOHqkKAK0oylhMJbILZKvdB4jMDKvICBAzKrfsnyfiNLJiU7zP3I3axjuLchtM7b2lm7jiscnc/drCuJIlMfowh+qZNEpD19ZM5fxM6ri0+wCRacmGnftef/W3E/e9jsrTqcvzejRFy3K8Ua6xDTuC3lfLMr6HiEQrRjxLV3hQgCgdOew5zV2ENExP2UVKUaXsojcWDVUrcXVq2LW3LlxfLKtLTFzPTMhF2n6jdhEgsh3NtS3ztNWKTbuoa+Odbw3VVGm6nX/Gyi1MyvG5BHHq0qmiaNsuln1jMcW0vukrt7Q+Uwlo3DZXnCqxdA3G1D4CRBszJYkT7o1Pz9p3JdaasurFBAx7aFLRtn1QkQLErMqtRdluIS3ZUNptLKPDEQiKqa2PnT1r5OtcdN/brc7367Eftmk7DdpHgGipBJHFyf9L978TY2oKJ60BopBaKyG0dGdwIf15SvFPVnF7cPziYiehRdU12V2AFVLDaA35qtq+h9mrtsWUmtaVXYCIqldty3mzFAfEa7YNopXP26NOHVouap949CEJpeRAO/cU/2QVd8F4QM9u8a4wZoV+/kO2shnKp1SUYYCId/73l23KPzEF0rjUs398f0WGxlr7RQ4/uFMi6WhsQRHvJyjUaTLXbtlJa9wonW2VbtxenrO2KNvNR9kFiKh+xm05cU5aXDo7fbbfQ2Fiv9b6nRfrmnLumuSqCZqTps4McWhcmPzO76cWJR31KRqGuewCxJSI+xNayo7WsmpiEXvYNNZcN9aG99vCwQZVkNhPv0VTJVLTkriKRhFidwxtEh1bqcKMkqab5couQGzb3fThPivzvOt5W3UNs1eVTm+T1narP763PJF0pElrpa70HKrxS9F5KhaFuO8hn5N9W7uzJ6nsAkTUTz9izPTm528hgycv2VRSD+VpSGuniugdfUlVwx3UJZToImvtl2hvJ0kozhhEpaCiIAEin2UKv9Md0jWeh4WWXYDIVUtZNXHJRjp37MDBnUvjZqqGtA4Z0AOAj/Q4GICunQ7Mxtfnradyc7xjRaXVqs27W/y8rfXwp/c5rE3LS+4uvn8Cj05YmvNycceH2jwHxUzkojOmbZRdgIgzOE9cvJGP9zuCzh1L42dqfOVx+EFBD5zjj+reZN53S6hxHYrXw+q/31pS0PXne7A3BPdiai3p/Y4sfhqjzKjcyk9fmJvzcnk0F7So4dnwuYqjimnHntoWq847xPRlS+PMV0TNnbdOPLo7c9ds45wTepRMNcT+Rurobq6lrFhVdcOH9G3x80lL2taNOd+h1c8+vkebttua/je+yK3Pzor8bH+36JbXkabG1GzEfR9EvjfeNXexVF/vWV9IXfrgRD75q3FNpjfUJmzdXcO26qbtsbkquwBxZLfOsayn4clZZ59Q2AM5H97ofxoCRLEa5lprmJzRxnGE9uZ5FZmEP0yKvls72/0l2/hwwd/0zDJFxVUqAaK5a4rjb36J7//PjKzWMa+ZbtJdM0YOuOPlBTmnrbGyCxA5txe0cBAc1KmCQX0OL5krqYZkNOyYXUqk6isbSfyG7t6k7aXQwyvsyTNAjHl/Zcwp2S+u6rxS2e/j0riba1tV1+RZxdTC7/r0B9k9VbI5uzLu0I/jwWHpOcNkKc6denD/oP2hVK4SGxpUG+4APbhz0FOhtq7pd374rSVccOf4xNLWmjhKEPX13mLD4O8mLue8X45jzur9XZOzOeDuf+NDzvn52Fbnq66pa3KTUyk+vW9vlmmav3Yba7dWN/t5VJ5FldDTEkaaK0As27AzryF1Wrv4aO4CLs72uMx0762tPyDv4wiIJR0gzOzzZrbAzBaZ2Y3ZLJPreailXiwN1Uv5XiXGrWG/2hnuFA2lpagd9cP1O1haQg8OaumqKVvX/H4KJ97y1wOmbd1Vsy+ANwyLsrhqJ798eT4vzFyd1XrvfHUhq7dWU1/vXPHYZJZUNR2VtL7eOelHL3Pbc3MOmJ7tyTgOtXX17M5ieIjqva2lKThx/G7ics7+xYGBccOOPfsGMIw6lqJOOqXUFbwle5q54j//zvEMe2hi5GctaW2ojuaqtBoH3rYEjMwBEhsPPBlHgLBSHb/HzCqAhcD/ASqB94Hh7t5s94XD+p7kR3zjrtjS8Mz3zuHMfkfQ/8YXY1tn0v5+UC9enLkm1nUe1b0zG3a0bdji1vQ8pEuzg5pVdLBU3WyUr04VRk1E6bAQjj20K2u3NV+aKKT3bv4Me2vrqdy8m+EPNz/0e9dOHfKu1kmTC089hlfmrONXXx3EFwf1AmDc/PVcP3pa3uv8zElHc/YJPfjZi/MOmD7srL68ubCKSTd/dqq7D268XCkHiLOB2939wvD9TQDu/vPmlunSa6D3uuLe2NKwaOQX6FjRIdUBQpo6qFNFLMMsiJSL5b+8KDJAxHO7XWH0BjJb8iqBT2SzYAeDr36sDyf1OjTn/tIjPjNwX/fWjhVBDdyobw3h7lcX8LlTj6W+3unWpSPTV25hUJ/DmFm5lU8cfyTbq2upq3dWbNzF4qodXP3J49ldU8vWXTV86m+OZsSYadw3/EyWbtjJHyatYFCfwzi516F0qjBufXY2w4f0Y87qrVw06DhWbNrFE+8sY+22an7wuY9y56sLOaFnNxZXlU6VUT5O6NkNdxjx2YH0OeJgJi3ZyB2vtL2nRWue/PbZHNy5gsMO6sSERRs49bhD2VFdy/rte7jhz83fZZ+tx688i64dK6iurWPV5t38buIyhp3Vj8rNu/nG0H5MW7GFCR9W8ez01fziH/+WpRt2xnp/RscORm0BSlQDjurGsLP68re9D+OyR95rcd7rP30ib8xfz5zV27jpCyext7aetz/cwOQsRkO+/tMn0veIg+l9xEE8OmEpb8xfH9dXaOILpx3LhaceG0u+Axx/VDfu+foZHHNoV95aWMXEJRt5YeZqTj3uMKav3MLgjxzBLy8ZxJZde3lz4YacHuTzlTN7c0qvQ4Fg2J/73ljU6jJ/2/swHvjGxyK7wOajlEsQlwIXuvvV4fvLgSHufn2j+a4BrgHo16/fx5cv13hEIiK5MLPIEkQpN1JXApl3OfUBmrQ6uvtD7j7Y3Qf37JmO/tgiImlQygHifWCgmQ0ws87AMOC5IqdJRKTdKNk2CHevNbPrgFeACuAxd5/TymIiIhKTkg0QAO7+EvBSsdMhItIelXIVk4iIFJEChIiIRFKAEBGRSCV7H0Q+zGw7UPg7r6QQjgI2FDsRkjflX7r9jbsf0nhiSTdS52FB1M0eUvrMbIryLr2Uf+lmZlOipquKSUREIilAiIhIpHILEA8VOwGSN+Vduin/0i0y/8qqkVpEROJTbiUIERGJSaoChJk16YYl6WFmHzGzw4udDsmdjr10y/fYS0WAMLNuZnY/8JSZXWZmA4qdJsmemXU3s7uBF4Hjip0eyZ6OvXRr67GXigAB/AdwKPAz4EzgF8VNjmTLzM4C3gGOBM5s6ZniUpJ07KWUmQ2mjcdeyQYIMzsm/N8d6A783N3fAkYCHczs1mKmT1pmZseGL/cCi4F73L3GzM4ws/5mVm43aZad8Ng7BB17qWJmFr6soY3HXsn1YjKz44H/BHYC/+Lu9Wb2LDDD3W8L5xkMPAJ83t3XFi+10lgz+fd94BTgBIJne2wAlgIj3X1j0RIrBzCzk4AbgHnA4+6+zcyeBua4+4/CeXTslaiM/JtP8PycbWZ2A3A6MIA8jr2SKkGY2X8CrwJvuvtV7l4ffvQTYJiZHRW+nwmMB/4++VRKc1rIv98T7JzPuPsnCfKzAriqOCmVxsK2hT8QXHGeDjxoZh8Fbga+ZmYNz/PVsVeCGuXfIOC3ZnYa8CjBef7ZfI69kgoQQGdgs7v/FoJqCjPr5O7TgHHA3QDuvheoA6qKllKJEoyPM3IAAAf5SURBVJV/nd19PfBv7v5fAO4+HdgOqPRQOk4CNrj7HcC3Ca5C/wnYCjyPjr1S1zj/FgDDgYOA77j7vZD7sVcSAcLMKgDc/QfA0Wb2EzN7Hvg18Mfw6uX/Auea2XfM7ELg74D6ZlcqiWkh//4L+L2Z9Xb3qoz5BwEXAGuKkmDZJ6O+ejZQbWYnuXsNwZMcDwI+CfwIOMfMvq1jr7S0kn9dgc+5++6M+XM69ooSIMzsyIzX5u51GR/fShAMngC+CewCRoRf8p8IdtqfAPe6+wuJJVr2ySH/Lgd2A1eH3SV7mNn/ENRh3xc+UlYSZGY9GzqAAPj+RshOwELgvHD6FKASOC089q4EDkbHXlHlmH8rCdoeMLOj8zr23D3RP+BcgiLqN8L3FeH/4Rmve2bMfyYwCzg46bTqL7b8m9mQf8DXiv0d2usfcAvwIXB+o+mXhv+vBO4ChobvhwKzip1u/bUp/2ZmzJfzsVeMEoQRNKTcDuDudWbWm6CvdddwWmb95snA5ITTKM3LJ//eJ2gYw92fTDKxEvQsM7M3gXOA89x9fMZnxwFHh2/HAWuBH4ddXPsDk83s4GRTLJnamH/vN9wFn8+xl0g317AawsPXFwPbgOuB1e5+nZl1cfc9GfN3JegWeTfB1eqN7v5+wRMqkZR/6WZmRwO/AR5291fNbCBBh4K53ugEYGYdgF8BJ4Z/33J3XaAVUTHzr2ABIqyn/kdglAc3aVSEV5v/QvB4wkeARQQNXpvcfWW4XFd3rzazC4C+7v67giRQWqT8S6/GeRdO+ybwWYKrzaOA1QRtDL9x93nhPN3cfWd4kunRqCQoCSml/CtIFVN4lbkQ+D7wvUYf1wLvhYmfB0wDPmeB44D7wl4v43RyKQ7lX3q1kHdjgB3A++4+BPg3YB1wTbhcL+AeM+vn7vUKDsVRavlXqOEOKoEfEnzRfzezZ919efhZB+BeM9tN8AWrgGnu7ma2haC//JYCpUuyo/xLr8i8c/daM/uRu28GcPcPzWwT0FCFsJUg77YWJ9kSKqn8a3MJIqMf7j7uPhUYRXCzzVzg2oyP5xC0xI909y8RNHb+NFxul04uyVL+pVeueddwcgmXPQ74MuENb2HeKTgkKA3516Y2iPAu2b0Z7/c1ZmZMG0pwu/7d7j6+oY46741KbJR/6ZVj3t3l7m+G07oC9wBnA4+6+30JJltCacm/vEsQZnY9QRe4/zCzL7Uw63zgTeDS8P1HLGM0wagoKoWn/EuvfPPOgrtsq4GXCbpLKjgUQaryL5ubJRr/AZ8C3gM+BgwDpgDnhp9VRMzfg+Behh0E0a9LPtvVX2w33Cj/UvrXxrz7NdCx2N+hPf+lLf+yHxc87OYYvu0JvOLuHwAfWPAouweA0zPmaeiT25lg2IVDgMvd/ZlstynxUf6ll/Iu3dKcf61WMZlZRwuGcf5PCwbqgqCr4981zOPuD4bzNnS56hBOr/egSDTa3U/WDpo85V96Ke/SrRzyr8UAYWafAqYCRxB0u/qZmZ3n7s8Cvczs8ozZbwa+AsGXC5e38P2fCpB2aYXyL72Ud+lWLvnXWgmiHrjT3b/r7o8C7wIXh5/9gOBLdw3frwHmhVGz4cuV1uPq2h/lX3op79KtLPKvxW6uFgzSVQfUejDMwnCC0Tlv9OBRko8TPHP4dYKW9m3ufnUC6ZYsKP/SS3mXbuWSfy2WIDy4+WJPRuPJhcBK3/8oyRuA54CvAwtK8Qu2Z8q/9FLepVu55F9WN8pZ8MQwB14ErnP3xRY873SZu+9ofNOHlBblX3op79It7fmX7Y1y9QRPLNoAnG7B4yS/TziWUyl/QQGUf2mmvEu3VOdf1kNthLd9vxv+PR42vEhKKP/SS3mXbmnOv1wCRB+CZwzf7RkPh5F0UP6ll/Iu3dKcf4k8UU5ERNKnGM+kFhGRFFCAEBGRSAoQIiISSQFCREQiKUCIiEgkBQhp18zscDP7Xvj6ODP73wJu6wwz+2Kh1i8SNwUIae8OB74H4O6r3f2SAm7rDEABQlJD90FIu2ZmYwiGYV4AfAic7O6nmdk/A18GKoDTgLsInvB1ObAH+KK7bzKzE4DfEDwpbBfwL+4+38wuBW4jGNFzK/BZYBFwELAK+DmwFLg3nLYbuNLdF+Sw7fHAdGAIcCjwLXefXJhfStolL4HntOpPf8X6A/oDsyNe/zPBCf0QgpP/VuA74Wf3ADeEr8cCA8PXnwDeCF/PAnqHrw/PWOf9Gds+lPAZwwQB5Kkctz0eeDh8/XcNadef/uL6y/qZ1CLt0Dh33w5sN7OtwPPh9FnAIDPrDpwD/E/4nBeALuH/d4AnzOxJ4Olm1n8YMMrMBhKM+Nkp221nzDcawN3fMrNDzexwd9+S5/cVOYAChEjzMsfNqc94X09w7HQAtrj7GY0XdPfvmNkngL8HpptZk3mAnxIEgq+YWX+CEkG22963qcabbuH7iOREjdTS3m0nqMrJmbtvA5aG7Q1Y4PTw9Qnu/p67/5hgqOe+Eds6jKA9AoJqpXx8PdzeecBWd9+a53pEmlCAkHbN3TcC75jZbOCOPFbxDeAqM5sBzGH/c4fvMLNZ4XrfAmYA44BTzGy6mX0d+BXwczN7h6BBOh+bzexd4EHgqjzXIRJJvZhEUirsxfQDd59S7LRIeVIJQkREIqkEISIikVSCEBGRSAoQIiISSQFCREQiKUCIiEgkBQgREYmkACEiIpH+P3WVqB/0s75AAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df.plot(x=\"timestamp\", y=\"ping\",\n", + " xlim=(pd.Timestamp('2015-01-20 14:50:00'),\n", + " pd.Timestamp('2015-01-20 15:05:00')))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On constate en zoomant que la majeure partie du temps, le ping est proche de 0, monte parfois à 90 et présente des pics au delà de 150. Ces variations ne peuvent être expliquées par les variations de taille de paquet." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df.plot(x=\"size\", y=\"ping\", style='.', xlim=(0,2048), ylim=(0,300))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La taille du paquet n'est pas corrélée avec le ping. Cependant, on observe une marche pour une taille supérieure à 1500, ce qui indique une granularité du fonctionnement des requêtes de ping. On estime finement la position de cette marche en zoomant la figure." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df.plot(x=\"size\", y=\"ping\", style='.', xlim=(1450,1550), ylim=(0,300))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La rupture se passe pour une taille de 1480 octets." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'scipy'", "output_type": "error", "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmydata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfilenames\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mmydata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"timestamp\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"ping\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined" + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'scipy'" ] } ], - "source": [ - "mydata = data[filenames[0]]\n", - "mydata.plot(x=\"timestamp\", y=\"ping\")" - ] + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -155,7 +327,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.8.0" } }, "nbformat": 4,