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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "08c46679-24c8-4a21-95bc-62fe51595c38", | |
| "metadata": {}, | |
| "source": [ | |
| "# Utiliser matplotlib.pyplot dans Jupyter Notebook" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "d41099ab-a3af-459c-8ba2-20d8a2aa6f32", | |
| "metadata": {}, | |
| "source": [ | |
| "### Activer l'autocompletion" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "67a77e73-6227-4efb-8b40-16d7453ce843", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "%config Completer.use_jedi = False" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "569e1e7b-ec71-4f57-a847-07f4ffa27ac2", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "### Importer matplotlib" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "cdd9c583-4a6c-4efe-929c-82cb2487ea92", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "%matplotlib inline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "0483e654-44d3-429b-8013-673f72f09539", | |
| "metadata": {}, | |
| "source": [ | |
| "### Modifier le style" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "6712a71f-a93b-4d18-9351-2cdd88730542", | |
| "metadata": {}, | |
| "source": [ | |
| "Les axes ont par défaut un fond transparant les rendant invisibles sur fond noir ou sombre lors d'un export html ou markdown. \n", | |
| "\n", | |
| "Il faut donc modifier le style des graphiques pour permettre l´export depuis Jupyter en html / markdown dark theme, tout en conservant les axes visibles." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "76afe41e-d69e-4af7-aaea-4cc5f973d308", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "plt.style.use('seaborn-white') # graphiques sur fonds blancs\n", | |
| "\n", | |
| "#plt.style.use('dark_background') # graphiques sur fonds noirs" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "31fbd1db-5bac-4f67-94c3-04cde8c08193", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "### Faire un graphique simple" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "3303ff8c-09f1-4ec6-b3f0-90471394bdc5", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "09caed28-4e9f-40f3-994e-2eeaa1fd9d4a", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[<matplotlib.lines.Line2D at 0x6f0fb310>]" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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+Pr7plYp4OYcDpk+H6Gj47jt4913TPqBrV6srE0/U4Dr3zMxMNm/ezA8//EBcXBwPPPAAmzdv5uuvvwbgvPPOY8aMGYAZnU+fPp158+YRGBjI448/zvjx43E4HAwbNqzOXwIiYvj7Q1GR2fZuzhwIDra6IvFkfs66JsdbUXFxMQkJCeTn59OtWzcrSxFpdZWVpi3v/ffDhRfCiRNmIw2RhjSUnbpDVcQiH3wAEyaYXuuXXGLCXcEurqIFVSKt7OBBuPNOGDQIzj7brFm/5x6rqxJvo3AXaWW//z38+c8wbRp88QXExFhdkXgjTcuItIKSEtPoq2dPE+q33GL2MxVpKRq5i7QgpxPeeAN69IDbbzePO3ZUsEvLU7iLtJB9+2DgQEhPN31hcnLU6Etaj6ZlRFrA1q0QF2fCPCsL7r1X/WCkdSncRVzo6FFo1840+rrrLpg0Cbp3t7oq8UUaS4i4wIkTMHMmXHwxlJebRl8vvKBgF+to5C7STFu3mna827aZ7e6svedbxNDIXaSJHA6zKfV//ReUlsKyZbBwIZxzjtWViSjcRZrM3x927TJ3m+7cCampVlck8jOFu8gZ+OknePBB2LPHrIR5912YPx+6dLG6MpHTac5dpJFWrYK774biYnNT0kUXqdGXuC+N3EUaUF5u7i698UZzd2lhoQl5EXemcBdpwLPPmrtLH3vMrIzp18/qikQapmkZkTr84x9mxN6rl2n0deut5sYkEU+hkbvIv3A64fXXzZz6HXf83OhLwS6epsGR+5QpU1i7di0hISGsXLkSgGeeeYaPP/6YNm3acP755zNr1iw6depU69z4+Hg6dOiAv78/AQEBLF261PVfgYiLfPut2RkpPx8GDDCrYNToSzxVgyP3tLQ05s+ff9qxmJgYVq5cyf/+7/9ywQUX8Nprr9V7/oIFC8jNzVWwi1vbutVMwWzeDH/8I6xZY1bDiHiqBsM9Ojqazp07n3YsNjaWwEAz6O/Tpw8lJSUtU51ICzt61Hy8/HLTufGrr8xKGHVwFE/X7B/hJUuWEBcXV+/z48aNIy0tjYULFzb3rURc5vhx+N3vIDLy50Zfzz0H4eFWVybiGs1aLTN37lwCAgIYMmRInc/n5OQQFhZGeXk56enpREREEB0d3Zy3FGm2zz6DceNg+3az3Z2IN2ryyH3ZsmWsXbuW5557Dr96rjqFhYUBEBISQmJiIkVFRU19O5Fmczjg0UfhmmvMaD0316xfDwmxujIR12tSuBcUFDBv3jzmzp1L+/bt63xNVVUVlZWVNZ8XFhYSGRnZ9EpFmsnf3/SEGTfONPqq5w9OEa/Q4LRMZmYmmzdv5ocffiAuLo4HHniA7Oxsjh8/Tnp6OgC9e/dmxowZ2O12pk+fzrx58ygvLycjIwMAh8NBSkrKL87Ni7SEigpzE9KDD5r59UWLzPy6iLdr8Md8zpw5tY6NGDGizteGhYUxb948AMLDw1mxYkUzyxNpurw8s/LlwAGzGiYyUsEuvkMLvsTrlJXB6NGQkgK/+hV88om5OUnElyjcxes8/zwsXgxPPAFbtpidkkR8jf5IFa/w3XdmBczll8P06XDbbdCzp9VViVhHI3fxaE4nzJtnGn3dead5HBSkYBdRuIvH+tvfICHBzKdfdZWZilGjLxFD0zLikbZsgf79zTZ32dkwfryCXeRfaeQuHuXIEfOxd2+4/35zM9JddynYRf6dwl08wrFj8OSTZq3699+b9eq//z2cd57VlYm4J03LiNvbtMm0DPjqK7MKRu14RRqm/03EbVVXQ2am2ZC6ogJWroS33oLgYKsrE3F/CndxWwEB8H//B/fcY0btyclWVyTiORTu4lYOHYL77oPdu81F0kWL4NVXoY4tekXkFyjcxW2sWAFRUfDaa7BunTkWEGBtTSKeSuEulistNTsiDR1qNs7YtMmsWxeRplO4i+XmzIFly8yepp9/Dn37Wl2RiOfTUkixxP79ptFXnz7w2GNw++2mP4yIuIZG7tKqTp6EuXPN3Pq4cabRV4cOCnYRV1O4S6vZvRuuu86shrn6anj3XbUNEGkpmpaRVvH556bR11lnweuvQ3q6gl2kJTVq5D5lyhT69etHSkpKzbFDhw6Rnp5OUlIS6enpVFRU1HnusmXLSEpKIikpiWXLlrmmavEYVVXm4xVXwKRJptHX2LEKdpGW1qhwT0tLY/78+acdy87Opl+/fnz44Yf069eP7OzsWucdOnSIrKwsFi1axOLFi8nKyqr3l4B4l2PHzIXSU42+AgJg1iw491yrKxPxDY0K9+joaDp37nzasfz8fFJTUwFITU1l9erVtc7bsGEDMTExdOnShc6dOxMTE8P69etdULa4s08+MSP1p56C669Xoy8RKzT5f7vy8nJCQ0MBCA0N5eDBg7VeY7fbsdlsNY/DwsKw2+1NfUtxc9XVZuolJgYOH4ZVq2DBAjX6ErFCi46pnE5nrWN+mmz1WoGBUFxsVsPs2AGDBlldkYjvanK4h4SEUFpaCkBpaSnBdQzPbDYbJSUlNY/tdnvNaF+8ww8/wN13wzffmMcLF0JWFnTsaG1dIr6uyeEeHx/P8uXLAVi+fDkJCQm1XhMbG8uGDRuoqKigoqKCDRs2EBsb2/Rqxa0sW2ZuPnr9dTh1KUWNvkTcQ6PCPTMzk1tuuYW9e/cSFxfH4sWLmTBhAoWFhSQlJVFYWMiECRMA2L59O9OmTQOgS5cu3HfffQwfPpzhw4eTkZFBly5dWu6rkVZRUgIjRkBaGthssHmzGn2JuBs/Z10T462ouLiYhIQE8vPz6datm5WlSCNNngwvvghPPAEPPwxt2lhdkYjvaSg7dYeqNMrf/24afV1xhVm/fuedcOmlVlclIvXRCmT5RSdPwh/+YBp9jR//c6MvBbuIe1O4S72++QYGDID774drr4UlS9Q2QMRTaFpG6vTZZ6bR19lnwxtvmH7rCnYRz6GRu5zm8GHz8cor4aGHTKOvO+5QsIt4GoW7AHD0KEybZhp9lZWZ9eozZ5qljiLieTQtIxQWml2RvvnGrIIJ1E+FiMfTyN2HVVfDAw+YufWjR+GDD+BPf4Jf/crqykSkuRTuPiwwEOx2E/A7dkBSktUViYirKNx9zMGDcNddPzf6+stf4KWXICjI2rpExLUU7j5kyRLT6OuNN2DjRnNMG2mIeCf9r+0DDhyAYcNg+HA47zyzhj093eqqRKQlKdx9wEsvQV4ezJ4NmzZBnz5WVyQiLU2L3rzUvn1mI41Tjb7GjoWLL7a6KhFpLRq5exmHA15+GXr2NBdOTzX6UrCL+BaFuxfZtQvi4uDBB83a9aVL1TZAxFdpWsZLfPYZxMaaJY1vvgm33aZgF/FlGrl7uJ9+Mh+vvBJ++1vT6GvMGAW7iK9rcrh/++23DB06tOa/K6+8kjfeeOO012zatImrrrqq5jVZWVnNrVf+6cgRs91dZCSUlppGXzNmQFiY1ZWJiDto8rRMREQEubm5ADgcDuLi4khMTKz1ur59+/Laa681vUKppaDA7Iq0e7dp+NW2rdUViYi7ccm0zCeffEJ4eDjnnXeeK/45qUd1NWRkmN2Rqqth9WqYPx+6dLG6MhFxNy4J97y8PFJSUup87ssvv2TIkCGMHz+e3bt3u+LtfFZgIHz/PUyaBNu3Q0KC1RWJiLtqdrgfP36cNWvWMGjQoFrPRUVFsWbNGlasWMGYMWPIyMho7tv5nPJycwPS11+bxzk58MILZu26iEh9mh3uBQUFREVFcc4559R6LigoiA7/TKEBAwZQXV3NwYMHm/uWPsHphEWL4LLL4K234NNPzXE1+hKRxmh2VOTl5ZGcnFznc2VlZTidTgCKioo4efIkv9JOEA36xz/gpptg5Ejo3h22bDE7JImINFazbmI6cuQIGzduZMaMGTXHcnJyABg1ahQffPABOTk5BAQE0K5dO+bMmYOfFmA36JVXzK5Izz5r5te17Z2InCk/56mhtUWKi4tJSEggPz+fbt26WVmKpb791jT6uuoqqKoyo/eLLrK6KhFxVw1lp2ZwLeZwwIsvQq9ecPfdZq797LMV7CLSPAp3C331FcTEwG9+A9ddB8uXq22AiLiGZnMtsnmzafTVuTO88w7ccouCXURcRyP3Vnaq0ddVV8HUqabR16hRCnYRcS2FeyupqoJHHjFz6acafT35JHTtanVlIuKNNC3TCtauNY2+/vY3szvSWWdZXZGIeDuN3FtQdbVZAXPddWYVTH4+ZGebeXYRkZakcG9BgYHw44+QmWkafcXHW12RiPgKhbuLlZXBHXf83Ojr7bfh+efN2nURkdaicHcRp9N0bOzRw3zcvNkcV6MvEbGCoscFiothyBC49VaIiICtW+H2262uSkR8mcLdBV591VwsnTMHNm6Enj2trkhEfJ2WQjbRnj1w6BD07QvTp5u9TC+80OqqREQMjdzPkMNhLpBefjncc8/Pjb4U7CLiThTuZ2DHDujXDx5+GK6/HnJz1TZARNyTpmUa6VSjry5d4C9/gZtvVrCLiPvSyL0BFRXm46m59Z07zfZ3CnYRcWcK93ocPmzuLI2MBLvdrFd//HGoYx9wERG3o2mZOuTnmwZfe/fCvfdC+/ZWVyQicmaaHe7x8fF06NABf39/AgICWLp06WnPO51OZs6cybp162jXrh2zZ88mKiqquW/bIqqrTZjPn29G7GvXwoABVlclInLmXDJyX7BgAcHBwXU+V1BQwL59+/jwww/Ztm0bTz75JIsXL3bF27pcYKCZjnn0UdNrXSN2EfFULT7nnp+fT2pqKn5+fvTp04cff/yR0tLSln7bRisthTFjYNcu8/jtt+GZZxTsIuLZXBLu48aNIy0tjYULF9Z6zm63Y7PZah7bbDbsdrsr3rZZnE4T5D16wKJF8Pnn5rhWwYiIN2j2tExOTg5hYWGUl5eTnp5OREQE0dHRNc87nc5a5/hZnKD795u7S997D665Bl5/3YS8iIi3aPbIPSwsDICQkBASExMpKio67XmbzUZJSUnN45KSEkJDQ5v7ts3y6qvmYumLL8KGDQp2EfE+zQr3qqoqKisraz4vLCwkMjLytNfEx8ezfPlynE4nX375JR07drQk3P/61597rD/2mGkl8OCDZqNqERFv06xpmfLycjIyMgBwOBykpKQQFxdHTk4OAKNGjWLAgAGsW7eOxMRE2rdvz9NPP938qs9AdbVpxfvEExAVBZ99Zhp9/ed/tmoZIiKtqlnhHh4ezooVK2odHzVqVM3nfn5+PPHEE815mybbtg3GjjWbZ9x0E/zhD7pgKiK+wWvvUN20yTT6Cg6GxYth2DAFu4j4Dq/rLXPokPkYHW1uRNq1C4YPV7CLiG/xmnCvrIRJk05v9DVtmhm5i4j4Gq+YlvnoI5gwAfbtg4wMc8FURMSXefTIvbra7F2alARt20JBAWRlQceOVlcmImItjw73wEA4dgwmTzYrY/r3t7oiERH34PHTMm+9pYulIiL/zqNH7qBgFxGpi8eHu4iI1KZwFxHxQgp3EREvpHAXEfFCCncRES+kcBcR8UKWr3N3OBwAp+3WJCIiv+xUZp7K0H9nebiXlZUBMHr0aIsrERHxPGVlZXTv3r3WcT9nXTtYt6KjR4+yY8cOunbtSoD2vBMRaRSHw0FZWRk9e/akXbt2tZ63PNxFRMT1dEFVRMQLeXS4FxQUMHDgQBITE8nOzra6HMscOHCAMWPGcMMNN5CcnMyCBQusLsktOBwOUlNTufvuu60uxXI//vgjEydOZNCgQdxwww188cUXVpdkmTfeeIPk5GRSUlLIzMzk2LFjVpfUIjw23B0OBzNmzGD+/Pnk5eWxcuVK9uzZY3VZlggICGDy5MmsWrWKhQsX8s477/js9+Jfvfnmm1x44YVWl+EWZs6cSf/+/Xn//ffJzc312e+L3W7nzTffZMmSJaxcuRKHw0FeXp7VZbUIjw33oqIiunfvTnh4OG3btiU5OZn8/Hyry7JEaGgoUVFRAAQFBREREYHdbre4KmuVlJSwdu1ahg8fbnUplqusrOSzzz6r+V60bduWTp06WVyVdRwOB0ePHqW6upqjR48SGhpqdUktwmPD3W63Y7PZah6HhYV7b3TbAAACHElEQVT5fKABFBcXs2vXLnr37m11KZZ6+umneeSRR/D399gfcZfZv38/wcHBTJkyhdTUVKZNm0ZVVZXVZVkiLCyMsWPHct111xEbG0tQUBCxsbFWl9UiPPYnv65FPn4+3tz98OHDTJw4kalTpxIUFGR1OZb5+OOPCQ4OpmfPnlaX4haqq6vZuXMno0aNYvny5bRv395nr1FVVFSQn59Pfn4+69ev58iRI+Tm5lpdVovw2HC32Wyn3dVqt9u99s+rxjhx4gQTJ05k8ODBJCUlWV2OpbZu3cqaNWuIj48nMzOTTz/9lIcfftjqsixjs9mw2Ww1f80NGjSInTt3WlyVNTZu3Ei3bt0IDg6mTZs2JCUlee3FZY8N9169erFv3z7279/P8ePHycvLIz4+3uqyLOF0Opk2bRoRERGkp6dbXY7lHnroIQoKClizZg1z5szhmmuu4bnnnrO6LMt07doVm83Gt99+C8Ann3zisxdUzz33XLZt28aRI0dwOp1e/b2wvP1AUwUGBvL4448zfvx4HA4Hw4YNIzIy0uqyLLFlyxZyc3O5+OKLGTp0KACZmZkMGDDA4srEXTz22GM8/PDDnDhxgvDwcGbNmmV1SZbo3bs3AwcO5KabbiIwMJDLLruMkSNHWl1Wi9AdqiIiXshjp2VERKR+CncRES+kcBcR8UIKdxERL6RwFxHxQgp3EREvpHAXEfFCCncRES/0/0439EndH5vOAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "x = np.arange(10)\n", | |
| "\n", | |
| "plt.plot(x, 2*x + 4, \"--b\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "b95985a1-1dfa-4b5c-88f3-f73ceb4bbdf8", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "Le graphique s'affiche automatiquement. Essayons de le ré afficher et de\n", | |
| "modifier le graphique en donnant des titres:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "d1d8f1ee-a065-4133-a833-b72745103bf5", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "7b75ba24-7c73-4d09-aadd-12cbd9680387", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "Il ne se passe rien ..." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "9edab6b0-5e30-4787-a508-7803d34fc472", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Text(0.5,1,'titre')" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plt.xlabel(\"x\")\n", | |
| "plt.ylabel(\"y\")\n", | |
| "plt.title(\"titre\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "d6165934-ef9a-4f37-9c7b-2a9af217b596", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "Et la contrairement à ce qui se passe dans le shell, non seulement plt.show() ne ré affiche pas le graphique, mais en plus on a perdu l'acces à l'objet plt entre la ligne 5 et la ligne 6 ! Ce qui crée un nouveau graphique, certe avec des titres, mais sans notre courbe. \n", | |
| "\n", | |
| "De la même façon il n'est plus possible de rajouter une autre courbe sur notre graphique créé en ligne 5, sauf évidement en allant remodifier la ligne 5 !\n", | |
| "\n", | |
| "L'une des méthodes pour conserver l'acces au graphique dans les différentes cellules du notebook, consiste à systématiquement instantier un objet figure() et un objet axes()." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "feadb5e6-d13b-42a5-9212-96e472158be2", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[<matplotlib.lines.Line2D at 0x6f062690>]" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "x = np.arange(10)\n", | |
| "\n", | |
| "fig = plt.figure()\n", | |
| "\n", | |
| "ax = plt.axes()\n", | |
| "\n", | |
| "plt.plot(x, 2*x + 4, \"--b\", label=\"courbe 1\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "57eb1594-e1fd-424a-927a-fff4886ce477", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "ac473e4c-0f71-4f4b-9324-fdc7bc805a61", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.legend.Legend at 0x6f0787d0>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ax.set_xlabel(\"x\")\n", | |
| "ax.set_ylabel(\"y\")\n", | |
| "ax.set_title(\"titre\")\n", | |
| "ax.legend(fontsize=8)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "f0db61ad-97ea-450d-9f5d-1d0426a08301", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "824dc08b-8a85-4f13-8ab6-20ac3875fe93", | |
| "metadata": {}, | |
| "source": [ | |
| "On peut de même ploter d'autres courbes / points sur le même graphique soit à partir de l'objet figure (fig), soit à partir de l'objet axes (ax):" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "f9d5b4e9-0fa0-466c-85fb-158a11d4f997", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[<matplotlib.lines.Line2D at 0x6f082a50>]" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig.gca().plot(4, 15, \"*b\")\n", | |
| "\n", | |
| "ax.plot(2,10,\"*r\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "cdbef160-3b43-45a6-adc1-3d484648a316", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "ce32240a-b99d-42c1-bfc2-e53f15cda4bf", | |
| "metadata": {}, | |
| "source": [ | |
| "### Faire un subplot" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "be5ce847-ff10-4b9f-8055-a5318c5d3135", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 4 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "x = np.arange(10)\n", | |
| "\t\n", | |
| "y1 = 2*x\n", | |
| "\t\n", | |
| "y2 = x**2\n", | |
| "\t\n", | |
| "y3 = x**3\n", | |
| "\n", | |
| "y4 = 3*x + 6\n", | |
| "\n", | |
| "y5 = x**0.5\n", | |
| "\n", | |
| "\n", | |
| "plt.close()\n", | |
| "\n", | |
| "fig = plt.figure(1)\n", | |
| "\n", | |
| "g1 = plt.subplot(221)\n", | |
| "plt.plot(x, y1, '-^k', label='courbe1', markersize=5)\n", | |
| "plt.title('titre 1', fontsize=10)\n", | |
| "plt.xlabel(\"X\",fontsize=10)\n", | |
| "plt.ylabel(\"Y1\",fontsize=10)\n", | |
| "plt.legend(fontsize=10)\n", | |
| "\n", | |
| "g2 = plt.subplot(222)\n", | |
| "plt.plot(x, y2, '-*b', label='courbe2', markersize=5)\n", | |
| "plt.title('titre 2', fontsize=10)\n", | |
| "plt.xlabel(\"X\",fontsize=10)\n", | |
| "plt.ylabel(\"Y2\",fontsize=10)\n", | |
| "plt.legend(fontsize=10)\n", | |
| "\n", | |
| "g3 = plt.subplot(223)\n", | |
| "plt.plot(x, y3, '--or', label='courbe3', markersize=5)\n", | |
| "plt.title('titre 3', fontsize=10)\n", | |
| "plt.xlabel(\"X\",fontsize=10)\n", | |
| "plt.ylabel(\"Y3\",fontsize=10)\n", | |
| "plt.legend(fontsize=10)\n", | |
| "\n", | |
| "g4 = plt.subplot(224)\n", | |
| "plt.plot(x, y4, '-+g', label='courbe4', markersize=5)\n", | |
| "plt.plot(x, y5, '--^y', label='courbe5', markersize=5)\n", | |
| "plt.title('titre 4', fontsize=10)\n", | |
| "plt.xlabel(\"X\",fontsize=10)\n", | |
| "plt.ylabel(\"Y4\",fontsize=10)\n", | |
| "plt.legend(fontsize=10)\n", | |
| "\n", | |
| "plt.tight_layout() " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "a5699d16-eb80-44a7-bc7f-49c2916d4760", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "Pour modifier le graph1 :" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "id": "85e3d023-df52-40ca-ad02-e78b680ff1ed", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 4 Axes>" | |
| ] | |
| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "g1.set_title(\"Nouveau titre\")\n", | |
| "\n", | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "753461fd-ea21-4eca-bbbb-31c32c2e110c", | |
| "metadata": {}, | |
| "source": [ | |
| "Pour modifier le graph2 :" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "id": "cac81001-3207-4c2b-aaa6-7a1e6ac73400", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 4 Axes>" | |
| ] | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "g2.plot(x, x/2, \"--r\", label=\"une courbe\")\n", | |
| "\n", | |
| "g2.legend()\n", | |
| "\n", | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "67d182d5-1269-43d7-83b6-ab6edcbe2132", | |
| "metadata": {}, | |
| "source": [ | |
| "### Exporter votre notebook" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "68682589-fa39-4db6-a117-cc593e79120c", | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "source": [ | |
| "Convertir en html :\n", | |
| "\n", | |
| " jupyter nbconvert --to html notebook_name.ipynb --execute\n", | |
| " \n", | |
| "Convertir en html darkfont :\n", | |
| "\n", | |
| " jupyter nbconvert --to html notebook_name.ipynb --HTMLExporter.theme=dark --excecute\n", | |
| " \n", | |
| "Convertir en markdown :\n", | |
| "\n", | |
| " jupyter nbconvert --to markdown notebook_name.ipynb --execute\n", | |
| "\n", | |
| "*Attention, les png des graphes seront placés dans un dossier notebook_name_files. Des liens relatifs dans le .md pointent vers ce dossier. Si le .md ne se trouve pas dans le même repertoire que ce dossier, vos graphiques ne s'afficheront pas.*\n", | |
| "\n", | |
| "Convertir en python :\n", | |
| "\n", | |
| " jupyter nbconvert --to python notebook_name.ipynb --execute" | |
| ] | |
| } | |
| ], | |
| "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": "3.6.5" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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