Vander_Plus_4_Matplotlib_09.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "17bfa93a",
   "metadata": {},
   "source": [
    "# Множественные субграфики"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "89456b39",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-white')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28ba9d99",
   "metadata": {},
   "source": [
    "## ``plt.axes``: создание субграфиков вручную\n",
    "\n",
    "``plt.axes`` - простейший метод создания системы координат. Он принимает на входе необязательный аргумент, представляющий из себя список из четырех чисел, в системе координат рисунка ``[низ, левый угол, ширина, высота]``, отсчет начинается с 0\n",
    "0 - левый нижний угол\n",
    "1 - верхний правый угол\n",
    "\n",
    "- ``низ`` - положение левого нижнего угла по горизонтале, в % от масштаба по горизонтале\n",
    "- ``левый угол`` - положение левого нижнего угла по вертикале, в % от масштаба по вертикале\n",
    "- ``ширина`` - ширина в % от масштаба\n",
    "- ``высота`` - высота в % от масштаба"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "05623aa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.axes() # обычные оси координат\n",
    "ax2 = plt.axes([0.65, 0.65, 0.2, 0.2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e86c4e95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.axes() # обычные оси координат\n",
    "ax2 = plt.axes([0.35, 0.65, 0.2, 0.2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "72a29f9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.axes() # обычные оси координат\n",
    "ax2 = plt.axes([0.35, 0.35, 0.2, 0.2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "12a3bd02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.axes() # обычные оси координат\n",
    "ax2 = plt.axes([0.35, 0.35, 0.2, 0.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "49ac1e22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = plt.axes() # обычные оси координат\n",
    "ax2 = plt.axes([0.65, 0.65, 0.5, 0.2])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07508357",
   "metadata": {},
   "source": [
    "Аналог этой команды в объектно-ориентированном интерфейсе - ф-ия ``fig.add_axes()``"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b4d4ea2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1a214aa64f0>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_axes([0.1, 0.5, 0.8, 0.4],\n",
    "                   xticklabels=[],\n",
    "                   ylim=(-1.2, 1.2))\n",
    "ax2 = fig.add_axes([0.1, 0.1, 0.8, 0.4],\n",
    "                   ylim=(-1.2, 1.2))\n",
    "\n",
    "x = np.linspace(0, 10)\n",
    "ax1.plot(np.sin(x))\n",
    "ax2.plot(np.cos(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eba6f30",
   "metadata": {},
   "source": [
    "## ``plt.subplot()`` : Простые сетки субграфиков\n",
    "\n",
    "``plt.subplot()`` - создает отдельный субграфик внутри сетки. Принимает на входе 3 *аргумента*:\n",
    "- *кол-во строк*\n",
    "- *кол-во столбцов*\n",
    "- *индекс графика* слева на право, снизу вверх"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b86a1a3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(1, 7):\n",
    "    plt.subplot(2, 3, i)\n",
    "    plt.text(0.5, 0.5, str((2, 3, i)),\n",
    "             fontsize=18,\n",
    "             ha='center'\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ee48264f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.4) # для настройки размеров hspace-высота, wspace-ширина\n",
    "for i in range(1, 7):\n",
    "    ax = fig.add_subplot(2, 3, i) # объектно ориентир. эквивалент\n",
    "    ax.text(0.5, 0.5, str((2, 3, i)),\n",
    "           fontsize=18, ha='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "24c95a02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.subplots_adjust(hspace=0.4, wspace=0.9) # для настройки размеров hspace-высота, wspace-ширина\n",
    "for i in range(1, 7):\n",
    "    ax = fig.add_subplot(2, 3, i) # объектно ориентир. эквивалент\n",
    "    ax.text(0.5, 0.5, str((2, 3, i)),\n",
    "           fontsize=18, ha='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "235d7a32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ffIFFixYpl0jt3r1buUSquLgYBQUFyiVSYWFhzjq0S9ZbWFiIvLw8+Pn5YdasWUhMTHTren+Nu84vsx597jy/zHv0OXJ+nXZJIxERuR+/T52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCIsdSIiibDUiYgkwlInIpIIS52ISCJWlfqRI0eg1WrNtldVVSErKwsajQY7duxw+uLIPZj32MGs5aOyNGDLli34+OOPERAQYLK9v78fZWVl2LlzJwICApCTk4Pk5GSEhoaajPvpp5/Q1NSE0NBQ+Pr6Onf1hMHBQXR2diI6Ohr+/v4Oz+dI3szatZj12GJv3hZLPSIiAhUVFVi1apXJ9ra2NkRERCA4OBgAEBcXh7q6OsybN89kXFNTE3Jzc61eENlHp9NhxowZDs/jSN7MenQw67HF1rwtlvrcuXNx4sQJs+16vR5BQUHKzxMmTIBerzcbZ7x31+l0mDRpktULI+ucOXMGubm5Zs+Q7OVI3szatZj12GJv3hZLfThqtRoGg0H52WAwmPwhGBmfmk2aNAnh4eH2Ho4scPVTYGvyZtajg1mPLbbmbffVL5GRkWhvb0d3dzf6+vpQV1eHmJgYe6cjD8e8xw5m7d1sfqS+e/du9Pb2QqPRoLi4GAUFBRBCICsrC2FhYa5YI7kR8x47mLUcrCr18PBw5bKm++67T9mekpKClJQU16yM3IZ5jx3MWj788BERkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJxCtK/ezZs7jrrrvQ0dGhbDtw4AAWL16MO+64AzExMcjPz0djY6Pdxzh48CBycnIQExODhIQErF+/HgaDwQmrB1pbWxEdHY2KigqT7c8++yw2bNjglGPIwhuzfvDBBzFt2jSzf3/4wx+UMczanDdm3dXVhdWrV+Puu+9GbGwstFqt2frcnbVXlPr69euRnp6OKVOmAABqa2vxyCOPoKenB4WFhVixYgW+//57LFmyBF999ZXN8x86dAjLli1Df38/nnrqKWRmZqKyshIPP/wwhoaGHFr7wMAASkpK0N/fb7ZvxYoV2L59O1pbWx06hky8LWshBNra2pCamooXX3zR5F9eXp4yjlmb87as9Xo9cnNz8Z///Ac5OTn44x//iLNnz2Lp0qX45ptvlHFuz1q4WEdHh4iKihIdHR123b62tlbcfvvt4tSpU8q2zMxMkZSUJHp7e5VtnZ2dIj4+XuTn59t8jPnz54vk5GRx6dIlZdt7770noqKixOeff27Xuo1ef/118Zvf/EZERUWJ1157zWz/M888I/Ly8uye39Hz60xjMevvv/9eREVFiX/9618WxzLrn3lj1n/729/EtGnTRG1trbLt3Llz4re//a14+umnTcY6mrUQ9p9jj3+k/tZbbyEuLg7XX389AODHH39Ea2sr7r33XgQEBCjjrrvuOsTHx+Pw4cM2zX/58mVce+21yM7Ohr+/v7L9zjvvBAAcO3bM7rUfO3YMmzZtwu9///thx2RkZODQoUN8BAfvzPrbb78FAERGRlocy6x/5m1ZCyHw4YcfIikpCfHx8cr20NBQrFq1CjNmzDAZ786sPbrUT58+jerqaqSmpirb1Go19uzZg/z8fLPxFy5cgK+vr03HGD9+PLZu3YrHHnvMZHtLSwsAYPLkybYvHD+/7HL33Xfj/vvvH3ZcfHw8rrnmGuh0OruOIwtvzfr48eMAfi713t7eYccy6yu8MesTJ07g7NmzuPvuuwFcKXnja/O5ubnIzs42Ge/OrFWjfkQbHDhwAIODg0hKSlK2+fr64sYbbzQb29raioaGBsyePduhY548eRI1NTUoLy9HVFQU5syZY9c8W7ZsQXt7O/7+979jYGBg2HEqlQqzZ8/G/v377V2yFLw16+PHj2PChAkoKyvDv//9b/T29mLKlCkoLCxEenq6yVhmfYU3Zt3e3g4AmDhxIsrLy7Fjxw7o9XpERESgpKQEKSkpJuPdmbVHl3p9fT0CAwOVN1KGYzAYUFRUBABYvny53cfr7u5WwgkICMDq1asxfvx4m+c5fvw4Nm7ciNLSUkyaNAknTpwYcfy0adPwySefoKOjw+LvKitvzfrbb7+FwWBAT08PXnzxRVy8eBHvvPMOnnzySfT39+OBBx4wGc+svTPrixcvAgBeffVVqFQqPPvssxg3bhy2bt2KFStWYOvWrcqjeCN3Ze3RL790dHTghhtugI+Pz7BjLl26hMcffxytra1Yvny58pqZPXx8fPDKK6+gvLwckZGReOihh7Bnzx6b5hgcHERJSQni4uLMnpINxxi4pfKXmTdmDQDZ2dkoLS3Fa6+9hjlz5iArKwuVlZWYMmUKXnrpJQwODpqMZ9bemXVfXx+AK+X+z3/+EwsWLMADDzwAnU6Hq6++Gn/961/NbuOurD261Lu7u6FWq4fdf/HiRSxbtgw1NTXIyspCYWGhQ8cLDg5GWlqaEtbkyZNtvt5069ataG1txcqVK9HV1YWuri7lXv7SpUvo6uoyu5zK+DteuHDBofV7M2/MGgBycnKQm5trss3f3x+ZmZn44YcflDdSjZi1d2YdGBgIAPjd736H4OBgZfvVV1+NlJQUNDc3m13/7q6sPbrUx40bN+z1pOfPn0deXh4aGhqg0Wiwfv36Ee/5beXv74+kpCScPn0aXV1dVt/uwIED6O/vx8KFCzFr1izMmjUL8+fPB3Cl8GfNmoVTp06Z3Mb4O9r6ZpBMvDHrkYSEhAAwf+OUWXtn1mFhYQB+zvWXQkJCIITwmKwtlvrQ0BBKS0uh0Wig1WqVNwyMtm3bhvT0dGi1Wmi1Wnz33XdOW9zEiRPR3d1ttl2v16OgoAAtLS3Iz8/H2rVr7Q6+ra0NKSkpv/outcFggI+PD/z8/Kyer6ioCNu2bTP599JLLwEAMjMzsW3bNoSGhprcxvg7Tpw40a7fwVmYtW1Znz17Funp6Xj99dfN9v3vf/8DAISHh5tsZ9bemfUtt9wCPz8/s2dewJWXV8aPH29W+O7K2uIbpfv27UNfXx8qKyvR2NiIDRs2YNOmTcr+5uZmlJeXIzo62umLmzx5Mo4cOYLBwUGTe7u1a9eipaUFeXl5KCkpcegYU6dORU9PD7Zv346FCxcqQZ88eRKfffYZ4uPjR3yq+P/92nkwvqY2ZcoUszdTgCvlANh/+aSzMGvbsg4LC0NPTw/ef/995OfnK7c9ffo0PvjgA9x1111md+DM2juzDgwMREpKCv773//i+PHjuOWWWwBceX+gqqoKqampZo/I3ZW1xVKvr69HQkICAGD69Oloamoy2d/c3IzNmzejs7MTSUlJePTRR522uJkzZ+KDDz7A8ePHceuttwK4cg+8a9cuBAUF4bbbbsOuXbvMbpeZmQngyglvaGhAbGzssO8+q1QqrF69GqtWrYJWq8X999+PCxcuQKfTwcfHB88995wy1pr57NHY2IipU6e6/T86s7Y969LSUqxYsQKLFi3CwoULYTAYoNPpoFKp8Oc//9lsPLP23qyffvpp1NbWIi8vD3l5ebjqqqvwzjvvwN/fH08++aTZeHdlbbHU9Xq9yT2ar68vBgYGoFJduWl6ejoWL14MtVqNJ554AtXV1UhOTnbK4hISEjBu3DjU1dUp4dfW1gIAenp6hr03N4b/5ZdfoqSkBGVlZSOGlZmZiauuugpvvvkmysrKEBgYiJkzZ6KwsBA33XSTMs7a+WwxNDSExsZGpKWlOWU+RzBr27NOTU3Fxo0b8cYbb+Dll1+Gv78/7rzzTjz55JNmnzJl1ld4a9bh4eHYsWMHXnrpJWzduhVCCMyYMQOrVq0yu507s7ZY6mq12uRd3aGhISV4IQSWLl2KoKAgAEBiYiKOHj3qtPBDQkKQkpKCTz/9FEuWLAFw5WqDnJwcq26/YMECtLS0WPXaWVpamsUAbJnvl8LDw4f9WPLBgwdx/vx5PPjggzbN6QrM2r75UlNTTT4dORxmfYU3Zz1lyhS89tprFse5M2uLb5TGxsYqn4pqbGxEVFSUsk+v1yMjIwMGgwFCCNTU1Dj9Nbhly5ahoaHB7I0ca/zwww+orq522pqcPR8AfPTRR7jnnnuURyzuxKxdNx/ArH+JWbuOxUfqc+bMwRdffIFFixZBCIEXXngBu3fvRm9vLzQaDQoLC5GXlwc/Pz/MmjULiYmJTl1gXFwckpOTsWXLFqxbt86m23Z1daGoqOhXP35sD2fP19HRgb179+K9995zynyOYtaum49Zm2LWLuTQd0NawRlfF3rq1CkRHx8v2tvbnbgy9ysuLhbr1q1zaA6Zvo5VCGY9EmbtHZyRtRD2n2OP/u4Xo+uvv155I0UmZWVl7l6Cx2HWYwezdg2P/kQpERHZhqVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJhKVORCQRljoRkURY6kREEmGpExFJxGKpDw0NobS0FBqNBlqtFu3t7Sb7q6qqkJWVBY1Ggx07drhsoeR6zHrsYNbyUlkasG/fPvT19aGyshKNjY3YsGEDNm3aBADo7+9HWVkZdu7ciYCAAOTk5CA5ORmhoaHK7QcHBwEAZ86ccdGvMLYZz6vxPDuCWXs2Zj222Ju3xVKvr69HQkICAGD69OloampS9rW1tSEiIgLBwcEAgLi4ONTV1WHevHnKmM7OTgBAbm6uTQsj23R2dmLq1KkOzcGsvQOzHltszdtiqev1eqjVauVnX19fDAwMQKVSQa/XIygoSNk3YcIE6PV6k9tHR0dDp9MhNDQUvr6+Vi+MrDM4OIjOzk5ER0c7PBez9mzMemyxN2+Lpa5Wq2EwGJSfh4aGoFKpfnWfwWAw+WMAAH9/f8yYMcOmRZFtHH3UZsSsPR+zHlvsydviG6WxsbHYv38/AKCxsRFRUVHKvsjISLS3t6O7uxt9fX2oq6tDTEyMzYsgz8Csxw5mLS8fIYQYacDQ0BDWrFmDb775BkIIvPDCCzh69Ch6e3uh0WhQVVWFjRs3QgiBrKwsvsbmxZj12MGs5WWx1K1l/CM5duwY/Pz8sG7dOpOnDsY/EpVKhaysLGRnZzvjsHaztN5t27Zh586dCAkJAQA8//zzuPnmm921XMWRI0fw8ssv49133zXZPprnl1mPDk/IGmDeo8VpeQsn2bt3rygqKhJCCHH48GHx2GOPKfv6+vpEamqq6O7uFpcvXxYLFiwQ586dc9ah7TLSeoUQYuXKleLrr792x9KGtXnzZpGRkSEWLlxosn20zy+zdj1PyVoI5j0anJm30z5Rau0lUn5+fsolUu400noBoLm5GZs3b0ZOTg7eeOMNdyzRTEREBCoqKsy2j/b5Zdau5ylZA8x7NDgzb6eV+nCXSBn3WbpEarSNtF4ASE9Px5o1a/D222+jvr4e1dXV7limiblz5ypXKPzSaJ9fZu16npK18ZjM27WcmbfTSt3RS6RG20jrFUJg6dKlCAkJgZ+fHxITE3H06FF3LdWi0T6/zNp93HF+mbf72HN+nVbq3naJ1Ejr1ev1yMjIgMFggBACNTU1TvnAh6uM9vll1u7jjvPLvN3HnvNr8cNH1pozZw6++OILLFq0SLlEavfu3colUsXFxSgoKFAukQoLC3PWoV2y3sLCQuTl5cHPzw+zZs1CYmKiW9f7a9x1fpn16HPn+WXeo8+R8+u0SxqJiMj9+H3qREQSYakTEUmEpU5EJBGWOhGRRFjqREQSYakTEUmEpU5EJJH/A+dblHLGTr+1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.subplots_adjust(hspace=0.9, wspace=0.4) # для настройки размеров hspace-высота, wspace-ширина\n",
    "for i in range(1, 7):\n",
    "    ax = fig.add_subplot(2, 3, i) # объектно ориентир. эквивалент\n",
    "    ax.text(0.5, 0.5, str((2, 3, i)),\n",
    "           fontsize=18, ha='center')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb5a583a",
   "metadata": {},
   "source": [
    "## Ф-ия ``plt.subplots()``: создание всей сетки за один раз\n",
    "\n",
    "``sharex='col'``, ``sharey='row'`` указание этих параметров автоматически убирате координатные сетки на отдельных графиках, и выравнивает их координатные сетки (связывает)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "da47c1a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 3, sharex='col', sharey='row')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "87796f0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# можно ссылаться по индексам\n",
    "for i in range(2):\n",
    "    for j in range(3):\n",
    "        ax[i, j].text(0.5, 0.5, str((i, j)),\n",
    "                     fontsize=18, ha='center')\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb3a0f7d",
   "metadata": {},
   "source": [
    "## Ф-ия ``plt.GridSpec``: более сложные конфигурации\n",
    "\n",
    "При выходе за пределы обычной сетки графиков к субграфикам, имеющим разные размеры, наилучшим инструментом считается ``plt.GridSpec``.\n",
    "``plt.GridSpec`` - не создает графиков, это удобный интерфейс"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "58bbacc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid = plt.GridSpec(2, 3, wspace=0.4, hspace=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b40f9bb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# теперь местоположение и размеры можно задать при помощи обычного синтаксиса срезов\n",
    "plt.subplot(grid[0, 0])\n",
    "plt.subplot(grid[0, 1:])\n",
    "plt.subplot(grid[1, :2])\n",
    "plt.subplot(grid[1, 2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e837ccc3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем норм распределенные данные\n",
    "mean = [0, 0]\n",
    "cov = [[1, 1], [1, 2]]\n",
    "x, y = np.random.multivariate_normal(mean, cov, 3000).T\n",
    "\n",
    "# Задаем систему координат\n",
    "fig = plt.figure(figsize=(6, 6))\n",
    "grid = plt.GridSpec(4, 4, hspace=0.2, wspace=0.2)\n",
    "main_ax = fig.add_subplot(grid[:-1, 1:])\n",
    "y_hist = fig.add_subplot(grid[:-1, 0], xticklabels=[], sharey=main_ax)\n",
    "x_hist = fig.add_subplot(grid[-1, 1:], yticklabels=[], sharex=main_ax)\n",
    "\n",
    "# Распределяем точки по основной системе координат\n",
    "main_ax.plot(x, y, 'ok', markersize=3, alpha=0.2)\n",
    "\n",
    "# Рисуем гистограммы на доп системах координат\n",
    "x_hist.hist(x, 40, histtype='stepfilled',\n",
    "            orientation='vertical', color='gray')\n",
    "x_hist.invert_yaxis()\n",
    "\n",
    "y_hist.hist(y, 40, histtype='stepfilled',\n",
    "            orientation='horizontal', color='gray')\n",
    "y_hist.invert_xaxis()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cff0e428",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}