{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 1- Données" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "donnees = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2 - Calculs" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "moyenne = np.mean(donnees)\n", "ecart_type = np.std(donnees)\n", "minimum = np.min(donnees)\n", "maximum = np.max(donnees)\n", "mediane = np.median(donnees)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 3 - Affichage des résultats" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Moyenne : 14.113000000000001\n", "Écart-type : 4.312369534258399\n", "Minimum : 2.8\n", "Médiane : 14.5\n", "Maximum : 23.4\n" ] } ], "source": [ "print(\"Moyenne :\", moyenne)\n", "print(\"Écart-type :\", ecart_type)\n", "print(\"Minimum :\", minimum)\n", "print(\"Médiane :\", mediane)\n", "print(\"Maximum :\", maximum)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAGIpJREFUeJzt3XuUZGV97vHvwwzIDD3QkoFGuY0wExQ4kTCdQCSXbvFCCONgVlwHz1EhqGOiRjCYI5pEMFmoOQKRtTyJgnJAMNMiFweMCZfRgmi4OINEwMHQRxAQZLiczlCAcvvlj/1WqCn7UtXdVW/3vM9nrVqz7/tX71TXU/vdVXsrIjAzs3Jtl7sAMzPLy0FgZlY4B4GZWeEcBGZmhXMQmJkVzkFgZlY4B4G1RdKdkoZy1zGfSQpJy7u8j5qkd3VzHy37WyTpXyUd3at92uxzEBiS7pX0upZpJ0j6dmM8Ig6KiNoU21mW3uwWdqlUm3s+D5wZEd/IXYhNn/9gbd6QtDAinstdh70oIt6RuwabOR8RWFuajxok/bqkDZK2SHpY0tlpsRvSv2OS6pJ+Q9J2kv5C0o8lbZb0JUm7NG33HWneY5L+smU/p0u6VNLFkrYAJ6R93yhpTNJDkj4raYem7YWk90q6W9ITkv5a0v5pnS2SLmksL2lI0gOS/leq7SFJx0o6WtK/S3pc0kebtr2dpFMl/b9U7yWSdp2kzf4sbfNBSSe2zHuJpDMl3Zfa8HOSFqV5SyV9PT3HxyX9i6Rx/1YlvV7SXZL+Q9JnAbXUO27bNx29HZ9qeFTSnzete3p6fl9K7XinpMGm+S+XdJmkRyTdI+kD7bSTpB3T/+dj6fl9V9LARG1oPRIRfhT+AO4FXtcy7QTg2+MtA9wIvD0N9wGHp+FlQAALm9Y7ERgF9kvLXg5clOYdCNSB3wR2AM4Enm3az+lp/FiqDy2LgJXA4VRHs8uATcDJTfsL4EpgZ+Ag4OfA+rT/XYAfAMenZYeA54CPAdsD7wYeAf4BWJLW/xmwX1r+ZOAmYC/gJVTdImsnaNOjgIeBg4Gd0jYDWJ7mfybVuWva11XAJ9O8TwKfSzVtD/wWoHH2sRTYAvxBWu6D6fm8q422b/xfnZfa9dWprV7V1PY/A44GFqSabkrztgM2pnbbIW3/R8Abp2on4D3puS5O210J7Jz7b6D0R/YC/Mj/oHqTrwNjTY+nmDgIbgA+Dixt2U7jzaU5CNYD720aP4DqzX1heiNZ2zRvMfAMWwfBDVPUfjJwRdN4AEc0jW8EPtw0fhbwmTQ8BDwNLEjjS9L6h7Wsf2wa3gQc2TTvZY3nMk5d5wOfahr/5bTt5VSf2p8E9m+a/xvAPWn4r4B1pNCY5Lm/o/HmnMYFPMCLQTBZ2zf+r/Zqmn8LcFxT21/XNO9A4Ok0fBhwX0stHwH+71TtRBVO/wr8Su7XvR8vPtw1ZA3HRkR/4wG8d5Jl30n1xnZXOrQ/ZpJlXw78uGn8x1RvCANp3v2NGRHxFPBYy/r3N49I+uXUbfLT1F30CapPxs0ebhp+epzxvqbxxyLi+aZ5463fWH5f4IrUpTFG9Yb3fHourbZ6bmzdBrtRhd7Gpm39c5oO8GmqT/LXSPqRpFPH2f4v7COqd937W+ZP1PYNP20afoqt26Z13o6qvgiwL/DyRu2p/o82bXeydroIuBoYSV1m/1vS9hM8P+sRB4F1LCLujoi3ArsDfwNcKmknqk+YrR6kemNo2Ieq++Jh4CGq7gOg+ioi8Eutu2sZ/3vgLmBFROxM9QYkeuN+4HebAzMidoyIn4yz7EPA3k3j+zQNP0oVMAc1bWeXiOgDiIgnIuKUiNgPWAX8qaQjp9qHJLXsc7K2n4n7qY5emtthSUQc3TR/3HaKiGcj4uMRcSDwGuAYqiMby8hBYB2T9DZJu0XEC1TdSFB94nsEeIGqz7hhLfBBSa+Q1Ef1Cf4rUX3751JglaTXpBO4H2fqN/UlVP3idUmvBP541p7Y1D4HnCFpXwBJu0laPcGyl1Cd3D5Q0mLgtMaM1G7nAX8rafe0rT0lvTENHyNpeXpj30LVts//wh7gH4GDJP1++qT+AWCPpvmTtf1M3AJskfRhVb8jWCDpYEm/luZP2E6ShiX9N0kL0nN7doLnZj3kILDpOAq4U1IdOIeqX/lnqWvnDOA7qVvgcKq+8ouozivcQ3UC8k8AIuLONDxC9en2CWAz1UnLiXwI+B9p2fOAr8z+05vQOVQneK+R9ATVCdHDxlswIv6J6oTwN6m6eb7ZssiH0/SbUhfXdVR9+AAr0nid6sT838U4v+GIiEeBtwCfoupSWwF8p2mRCdt+JlJX2irgkLTdR4EvUJ2Mh8nbaQ+qDwBbqLqMrgcunmlNNjOquhXN8kufWseoun3uyV2PWSl8RGBZSVolaXE6x3AmcDvVN5TMrEccBJbbaqqTmg9SdW0cFz5MNespdw2ZmRXORwRmZoWbFxedW7p0aSxbtix3GdP25JNPstNOO+UuY85zO7XH7dQetxNs3Ljx0YjYbarl5kUQLFu2jA0bNuQuY9pqtRpDQ0O5y5jz3E7tcTu1x+0Ekn489VLuGjIzK56DwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscF0NAknnp3ul3tE07dPpHqvfl3SFpP5u1mBmZpPr9hHBBVSXLG52LXBwRPwK8O9Ut7gzM7NMuhoEEXED8HjLtGuabozRuMG1mZllkvuXxScywY1FJK0B1gAMDAxQq9V6WNbsqtfr87r+XnE7tafRTqOjM9vO8uWzU89c5ddT+7p+9VFJy4CvR8TBLdP/HBgEfn+qyw4PDg6GLzGx7XM7tafRTqtWzWw7V101O/XMVX49gaSNETE41XJZjggkHU910+ojfe15M7O8eh4Eko6iul/r76R73JqZWUbd/vroWqqbbx8g6QFJ7wQ+CywBrpV0m6TPdbMGMzObXFePCCLireNM/mI392lmZp3xL4vNzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscLlvTGM2J8zk2v7b+nX9bdvnIwIzs8I5CMzMCucgMDMrnIPAzKxwDgIzs8I5CMzMCucgMDMrnIPAzKxwDgIzs8I5CMzMCucgMDMrnIPAzKxwDgIzs8J1NQgknS9ps6Q7mqbtKulaSXenf1/azRrMzGxy3T4iuAA4qmXaqcD6iFgBrE/jZmaWSVeDICJuAB5vmbwauDANXwgc280azMxscoqI7u5AWgZ8PSIOTuNjEdHfNP//R8QvdA9JWgOsARgYGFg5MjLS1Tq7qV6v09fXl7uMOS9nO42OZtnttPT31xkby/t6Wr486+7b4r87GB4e3hgRg1MtN2fvUBYR5wLnAgwODsbQ0FDegmagVqsxn+vvlZztdNZZWXY7LatX11i3bihrDfPhrmz+u2tfjm8NPSzpZQDp380ZajAzsyRHEFwJHJ+GjwfWZajBzMySbn99dC1wI3CApAckvRP4FPB6SXcDr0/jZmaWSVfPEUTEWyeYdWQ392tmZu3zL4vNzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK5yDwMyscA4CM7PCOQjMzArnIDAzK1y2IJD0QUl3SrpD0lpJO+aqxcysZFmCQNKewAeAwYg4GFgAHJejFjOz0uXsGloILJK0EFgMPJixFjOzYiki8uxYOgk4A3gauCYi/mfL/DXAGoCBgYGVIyMjvS9yltTrdfr6+nKXMeflbKfR0Sy7nZb+/jpjY3lfT8uXZ919W/x3B8PDwxsjYnCq5bIEgaSXApcB/x0YA74KXBoRF4+3/ODgYGzYsKGHFc6uWq3G0NBQ7jLmvJzttGpVlt1Oy+rVNdatG8paw1VXZd19W/x3B5LaCoJcXUOvA+6JiEci4lngcuA1mWoxMytariC4Dzhc0mJJAo4ENmWqxcysaFmCICJuBi4FbgVuT3Wcm6MWM7PSLexkYUn7Aisi4jpJi4CFEfHEdHYcEacBp01nXTMzmz1tHxFIejfVp/jPp0l7AV/rRlFmZtY7nXQNvQ84AtgCEBF3A7t3oygzM+udToLg5xHxTGMk/RAsz48QzMxs1nQSBNdL+ijVr4FfT/Xd/3nwbWIzM5tMJ0FwKvAI1bd83gN8A/iLbhRlZma908m3hhYB50fEeQCSFqRpT3WjMDMz641OjgjWU73xNywCrpvdcszMrNc6CYIdI6LeGEnDi2e/JDMz66VOguBJSYc2RiStpLpyqJmZzWOdnCM4GfiqpMZ9A15GdfVQMzObx9oOgoj4rqRXAgcAAu5KVw41M7N5rKNrDQG/BixL6/2qJCLiS7NelZmZ9UzbQSDpImB/4Dbg+TQ5AAeBmdk81skRwSBwYOS6t6WZmXVFJ98augPYo1uFmJlZHp0cESwFfiDpFuDnjYkR8aZZr8rMzHqmkyA4vVtFmJlZPp18ffT6ljuULQYWdK80MzPrhZncoWxPfIcyM7N5z3coMzMrnO9QZmZWON+hzMyscL5DmZlZ4Tr51tALwHnpYWZm24hOrjV0D+OcE4iI/Wa1IjMz66lOrzXUsCPwFmDX6e5YUj/wBeBgqoA5MSJunO72zMxseto+RxARjzU9fhIRnwFeO4N9nwP8c0S8Eng1sGkG2zIzs2nqpGvo0KbR7aiOEJZMZ6eSdgZ+GzgBIH0t9ZnJ1jEzs+5Qu1eVlvStptHngHuBMyPihx3vVDoEOBf4AdXRwEbgpIh4smmZNcAagIGBgZUjIyOd7mbOqNfr9PX15S6jJ0ZHp7/uHnvka6eZ1N1r/f11xsbyvp6WL8+6+7aU9Hc3keHh4Y0RMTjVcm0HwWySNAjcBBwRETdLOgfYEhF/Od7yg4ODsWHDhp7WOJtqtRpDQ0O5y+iJVaumv+4pp+Rrp5nU3WurV9dYt24oaw1XzYNfEJX0dzcRSW0FQSddQ3862fyIOLvdbQEPAA9ExM1p/FKq3ymYmVmPdfKDskHgj6kuNrcn8EfAgVTnCTo6VxARPwXul3RAmnQkVTeRmZn1WKc3pjk0Ip4AkHQ68NWIeNc09/0nwJcl7QD8CPjDaW7HzMxmoJMg2Ietv9nzDLBsujuOiNvY+rcJZmaWQSdBcBFwi6QrqH4A9mbgS12pyszMeqaTaw2dIemfgN9Kk/4wIr7XnbLMzKxXOjlZDLCY6mue5wAPSHpFF2oyM7MemjQIJB3UNHwa8GHgI2nS9sDF3SvNzMx6Yaojgn0lfSoNvxl4E/AkQEQ8yDQvMWFmZnPHpOcIIuIbkp5Po89EREgKAEk7db06MzPruinPEUTE1WnwEkmfB/olvRu4Dt+kxsxs3uvkW0NnpnsVbwEOAD4WEdd2rTIzM+uJtoJA0gLg6oh4HeA3fzOzbUhbXx+NiOeBpyTt0uV6zMysxzr5ZfHPgNslXUv65hBARHxg1qsyM7Oe6SQI/jE9zMxsGzJlEEjaJyLui4gLe1GQ2XTMpxvLlG4m/1fz4YY481E75wi+1hiQdFkXazEzswzaCQI1De/XrULMzCyPdoIgJhg2M7NtQDsni18taQvVkcGiNEwaj4jYuWvVmZlZ100ZBBGxoBeFmJlZHp3ej8DMzLYxDgIzs8I5CMzMCucgMDMrnIPAzKxwDgIzs8I5CMzMCucgMDMrXNYgkLRA0vckfT1nHWZmJct9RHASsClzDWZmRcsWBJL2An4P+EKuGszMDBSR54Kiki4FPgksAT4UEce0zF8DrAEYGBhYOTIy0vsiZ0m9Xqevry93GT0xOjr9dffYY/rtNJP9zjf9/XXGxsp4Pc3EbLfT8uWztqmeGR4e3hgRg1Mt18mtKmeNpGOAzRGxUdLQeMtExLnAuQCDg4MxNDTuYvNCrVZjPtffibPOmv66p5wy/XaayX7nm9Wra6xbN5S7jDlvtttpW747Wq6uoSOAN0m6FxgBXivp4ky1mJkVLUsQRMRHImKviFgGHAd8MyLelqMWM7PS5f7WkJmZZZblHEGziKgBtcxlmJkVy0cEZmaFcxCYmRXOQWBmVjgHgZlZ4RwEZmaFcxCYmRXOQWBmVjgHgZlZ4RwEZmaFcxCYmRXOQWBmVrjs1xqy8a1aNbP1Z3Lt9Jnue7pGR8u6r4DZXOEjAjOzwjkIzMwK5yAwMyucg8DMrHAOAjOzwjkIzMwK5yAwMyucg8DMrHAOAjOzwjkIzMwK5yAwMyucg8DMrHAOAjOzwmUJAkl7S/qWpE2S7pR0Uo46zMws32WonwNOiYhbJS0BNkq6NiJ+kKkeM7NiZTkiiIiHIuLWNPwEsAnYM0ctZmalU0TkLUBaBtwAHBwRW5qmrwHWAAwMDKwcGRmZ9j5GR2dW43QtX179W6/X6evr62jdXDXn1N9fZ2yss3YqkdupPdtKOzXeR6ZjeHh4Y0QMTrVc1iCQ1AdcD5wREZdPtNzg4GBs2LBh2vvJdcetxl3CarUaQ0NDHa2bq+acVq+usW7dUO4y5jy3U3u2lXaayd0GJbUVBNm+NSRpe+Ay4MuThYCZmXVXrm8NCfgisCkizs5Rg5mZVXIdERwBvB14raTb0uPoTLWYmRUty9dHI+LbgHLs28zMtuZfFpuZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWOAeBmVnhHARmZoVzEJiZFc5BYGZWuGxBIOkoST+UNCrp1Fx1mJmVLksQSFoA/B/gd4EDgbdKOjBHLWZmpct1RPDrwGhE/CgingFGgNWZajEzK5oiovc7lf4AOCoi3pXG3w4cFhHvb1pmDbAmjR4A/LDnhc6epcCjuYuYB9xO7XE7tcftBPtGxG5TLbSwF5WMQ+NM2yqRIuJc4NzelNNdkjZExGDuOuY6t1N73E7tcTu1L1fX0APA3k3jewEPZqrFzKxouYLgu8AKSa+QtANwHHBlplrMzIqWpWsoIp6T9H7gamABcH5E3Jmjlh7ZJrq4esDt1B63U3vcTm3KcrLYzMzmDv+y2MyscA4CM7PCOQi6TNK9km6XdJukDbnrmSsknS9ps6Q7mqbtKulaSXenf1+as8a5YIJ2Ol3ST9Jr6jZJR+esMTdJe0v6lqRNku6UdFKa7tdTmxwEvTEcEYf4O81buQA4qmXaqcD6iFgBrE/jpbuAX2wngL9Nr6lDIuIbPa5prnkOOCUiXgUcDrwvXbLGr6c2OQgsi4i4AXi8ZfJq4MI0fCFwbE+LmoMmaCdrEhEPRcStafgJYBOwJ349tc1B0H0BXCNpY7pshk1sICIeguqPG9g9cz1z2fslfT91HbnLI5G0DPhV4Gb8emqbg6D7joiIQ6mutPo+Sb+duyCb9/4e2B84BHgIOCtvOXODpD7gMuDkiNiSu575xEHQZRHxYPp3M3AF1ZVXbXwPS3oZQPp3c+Z65qSIeDgino+IF4Dz8GsKSdtThcCXI+LyNNmvpzY5CLpI0k6SljSGgTcAd0y+VtGuBI5Pw8cD6zLWMmc13tySN1P4a0qSgC8CmyLi7KZZfj21yb8s7iJJ+1EdBUB1OY9/iIgzMpY0Z0haCwxRXSr4YeA04GvAJcA+wH3AWyKi6BOlE7TTEFW3UAD3Au9p9IWXSNJvAv8C3A68kCZ/lOo8gV9PbXAQmJkVzl1DZmaFcxCYmRXOQWBmVjgHgZlZ4RwEZmaFcxBYkSTVJL2xZdrJkv5uknXq3a/MrPccBFaqtVT3ym52XJreVZKy3CLWbCIOAivVpcAxkl4C/3WxspcDt0laL+nWdB+J1eOtLOnPJH03Xfjt441ttNw34EOSTk/DNUmfkHQ9cJKkt0i6Q9K/Sbqhq8/UbAr+ZGJFiojHJN1Cda3/dVRHA18BngbeHBFbJC0FbpJ0ZTT98lLSG4AVVNf4EXBlupjgfVPstj8ifidt43bgjRHxE0n9s/38zDrhIwIrWXP3UKNbSMAnJH0fuI7quvYDLeu9IT2+B9wKvJIqGKbylabh7wAXSHo3sGC6T8BsNviIwEr2NeBsSYcCiyLiVkknALsBKyPiWUn3Aju2rCfgkxHx+a0mSnux9Yer1vWebAxExB9JOgz4ParuqEMi4rHZeFJmnfIRgRUrIupADTifF08S7wJsTiEwDOw7zqpXAyem698jaU9Ju1NdFG53Sb+Uzj0cM9G+Je0fETdHxMeAR4G9Z+t5mXXKRwRWurXA5bzYRfRl4CpJG4DbgLtaV4iIayS9CrixugIydeBtEbFZ0l9RXfXynvHWbfJpSSuoji7WA/82S8/HrGO++qiZWeHcNWRmVjgHgZlZ4RwEZmaFcxCYmRXOQWBmVjgHgZlZ4RwEZmaF+09fC4V8wb1euQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.hist(donnees, bins=20, color='blue', alpha=0.7)\n", "plt.xlabel('Valeurs')\n", "plt.ylabel('Fréquence')\n", "plt.title('Histogramme des données')\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Tracer le graphique de séquence" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Graphique de séquence')" ] }, "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": [ "plt.figure(figsize=(12, 6))\n", "plt.subplot(1, 2, 1)\n", "plt.plot(donnees, color='blue')\n", "plt.xlabel('Indice')\n", "plt.ylabel('Valeurs')\n", "plt.title('Graphique de séquence')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Tracer l'histogramme" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.subplot(1, 2, 2)\n", "plt.hist(donnees, bins=20, color='bleue', alpha=0.7)\n", "plt.xlabel('Valeurs')\n", "plt.ylabel('Fréquence')\n", "plt.title('Histogramme des données')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }