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@chokofuku
Last active November 3, 2018 13:06
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Untitled3.ipynb",
"version": "0.3.2",
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"metadata": {
"id": "IxtqRE5XFh2Q",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# seaBornの整理\n",
"## 1次元分布\n",
"(1)distplot:seabornのdisplot()がmatplotlibのhist(ビストグラム)と与核函数估计kdeplot(カーネル密度推定法のプロット)を統合した感じ。そして、rugplot(データ出現ポイントを軸上にプロット)とscipyを利用して、分布のパラメータをfitすることは可能になる。 <br>\n",
"(2)kdeplot:カーネル密度推定法。3ステップで推定する。①データ標本付近を、正規分布等で表現。②各正規分布を加算 。bandwidth(bwパラ)データ標本付近の幅。 \n",
"\n",
"## 2次元分布\n",
"(1)jointplot<br>\n",
"(2)subplotsの枠でkdeplot,rugplot \n",
"(3)cubehelix_palette,幻の効果\n",
"(4)plot_jointとjointplot同時使用\n"
]
},
{
"metadata": {
"id": "8g8Qk8-iah-9",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# 1次元分布\n",
"## 1、distplot"
]
},
{
"metadata": {
"id": "DEE0OmF1PLvA",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
},
"outputId": "d049d68b-a9dc-41f0-a5e5-0237dba0f54f"
},
"cell_type": "code",
"source": [
"# import numpy as np\n",
"# import matplotlib.pyplot as plt\n",
"# x = np.arange(-10, 10, 0.1)\n",
"# y = np.arctan(x)\n",
"# plt.plot(x, y)\n",
"# 上記に書くと、グラフが表示しません。これを解決ために、以下の一行追加する。\n",
"%matplotlib inline\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats, integrate\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set(color_codes=True)\n",
"np.random.seed(1)\n",
"\n",
"x = np.random.normal(size=100)\n",
"sns.distplot(x, kde=True, bins=20, rug=True)\n"
],
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd28e366ba8>"
]
},
"metadata": {
"tags": []
},
"execution_count": 22
},
{
"output_type": "display_data",
"data": {
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vgdfHM6UpNrCEiYKkvm0AAA9FXyuNWolNxXYMuj34sLJDdByiecESJgqC7v4RdPWOIMWs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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28ef0c4e0>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "v4NRfQY5chX8",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## 2、kdeplot"
]
},
{
"metadata": {
"id": "wpnqLa6XPWXP",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
},
"outputId": "b5b85e6b-9c32-467f-e6e3-36c58cb05834"
},
"cell_type": "code",
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats, integrate\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set(color_codes=True)\n",
"np.random.seed(1)\n",
"\n",
"x = np.random.normal(size=100)\n",
"sns.kdeplot(x)\n",
"sns.kdeplot(x, bw=.2, label=\"bw: 0.2\")\n",
"sns.kdeplot(x, bw=2, label=\"bw: 2\")\n",
"plt.legend()\n"
],
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fd28ee2cbe0>"
]
},
"metadata": {
"tags": []
},
"execution_count": 24
},
{
"output_type": "display_data",
"data": {
"image/png": 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QiWSG2U25aQUDGPQ65jS7Gd4XwtISFiK/JISFKBG+SHYN99HnwTv3PQ+enaOu6FELpnlQ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\nNESNGEXUiFF4ix34D2VzaftOnNn7cWbvB0XB2K8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9OmyS8I3qfNXQoUMpKSnB7/cHjxjs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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28e0b5198>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "uzGgvb0Zd9t_",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## 3、fit"
]
},
{
"metadata": {
"id": "sf2SaoTId9BH",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 364
},
"outputId": "5a198171-78bb-42a0-81ec-e020f3f24483"
},
"cell_type": "code",
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats, integrate\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set(color_codes=True)\n",
"\n",
"x = np.random.gamma(6, size=200)\n",
"sns.distplot(x, kde=False, fit=stats.gamma) \n",
"# sns.distplot(x, kde=False, fit=stats.norm) \n",
"\n"
],
"execution_count": 34,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd28dc23fd0>"
]
},
"metadata": {
"tags": []
},
"execution_count": 34
},
{
"output_type": "display_data",
"data": {
"image/png": 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tFh3DKOovC1I52uFqSiIAwLWD922XC1mKxi6FMmf9h4xHfPQJ/HxgJ2YtXK6/\nv7F2Wtpn2JK/l3/Edpq/u/0x0mT3uEajQW5urv52Tk4O1Gp1q/ZRKpWoqKj7xZCdnQ2NRtNkeDJd\nnHPc/Pj37A83tSfOnf0FZaVFouMQUQs1WbSDg4Oxb98+AEBCQgI0Go2+a7yl+4wYMUJ///79+zFy\n5Mi25ieBsjNSIZfbwE3tJToKNZNUKsXg4Emoqa5CTNQR0XGIqIWa7B4PCgpCYGAg5s2bB4lEgrCw\nMOzYsQMqlQohISFYsWIFsrKycOXKFYSGhmLOnDmYPn36bfsAwPLly7FmzRqEh4fDy8sLM2fONHoD\nyThqa2uRk5UGdcfOkMnMc9yBtRo4dBwO7foSZ37Zi+FjpkMq5XQNROaiWee0V69e3eB2r1699D9v\n2bKlWfsAdd3mn3zySUvykYnKzclATXUVZ0IzQ0oHFfoG3YuYqMNI/i0O3QMGio5ERM3EP7GpVTLT\nrwLg9KXmasjIKQCAM8f3CE5CRC3Bok2tkpF2BQCLtrnq5NMNnXy64beEaNzIzxEdh4iaiUWbWiXz\n+lUAQEfOOW62hoycAp3uJs6c2C86ChE1E5fmpFbJSLsCB5UzHJ1cREehVuozMBh7v/sEZyMP4P6H\nFt+2vSXLf7YGl/4kajkeaVOLVVaUIz83Cx6e7Bo3ZzYKWwQNG4/SkiLERZ8QHYeImoFFm1osO5Nr\naFuKwcGTAAC/HP5JcBIiag4WbWqxWzOhsWibOze1J7oFDMTVpAvITL8iOg4RNYFFm1qsvmhzEJpl\nGFp/+dcvewUnIaKmsGhTi2VnpEIikULd0Vt0FDKA7r2D4OquQdyvP6OivFR0HCK6CxZtahGdTofs\njKtQe3jBRmErOg4ZgFQqw4gx01BdVYmYqMOi4xDRXbBoU4sU3chDRXkZPL39REchAxo2ciLkchtE\nHduNmzdvio5DRHfAok0tkpVxFQDg5d1FaA4yLEcnF/QbNBr5uVm4nBAtOg4R3QGLNrVI9vW6QWie\nnXmkbWmGj7kPAHDqZ17+RWSqWLSpReqv0fZi97jF8fDyhV/3Pki5HK+/QoCITAuLNrVIdsZVKGzt\n4OquER2FjGD4mOkAeLRNZKpYtKnZqqqqkJudAQ9PX0il/OhYoh6B98DV3QNxvx5DaUmR6DhE9Cf8\nzUvNdu3aVdy8WQuPTpwJzVJJpTIMHTUNNdVViD55QHQcIvoTFm1qtuTkJADgQiEWLmjYeNja2uP0\n8T2ora0RHYeI/oBFm5otJeX3ot2pi9ggZFR29koMHDYORYV5SIiNFB2HiP6ARZua7daRto/gJGRs\nw0ZNg0QiwckjO6HT6UTHIaL12x33AAAgAElEQVTfsWhTs6WkJMPZtQPslY6io5CRuak9EdBvKDKu\nJeFqUoLoOET0OxZtapYbN24gN1fL5TityIhxMwAAJw7/IDgJEdVj0aZm0Z/P5iA0q+Hj1wud/Xrh\ncsKvyMlMEx2HiMCiTc2UkpIMgIPQrM2942cCAE4e2Sk4CREBLNrUTMnJiQA4CM3a9OwzCO5qT8Sd\nOYriogLRcYisHos2NUtKSjLkcjk6eHQSHYXakVQqw4ix96O2tgZRx3aJjkNk9Vi0qUm1tbW4ciUZ\nXbr4QSaTi45D7az/kLFQOjjhzC/7UFlZLjoOkVVj0aYmZWRcR0VFBbp27SY6CgmgUNhiyMgpKC8r\nQcypQ6LjEFk1Fm1qUv0gNH9/Fm1rNXTkFNjYKHDi8E5ObUokULP6Ojdu3Ii4uDhIJBKsXbsW/fr1\n0287efIk3nrrLchkMowaNQrLli3DN998g507b402PX/+PGJiYhAaGoqysjIolUoAwJo1a9CnTx8D\nN4kMrX4QWteu3cDOUevkoHJG0PAQRB3bhfhfj2Hg0HGiIxFZpSaL9unTp5Gamorw8HAkJydj7dq1\nCA8P129/9dVXsW3bNnh4eGDRokWYNGkSZs+ejdmzZ+v337Nnj/7xmzZtQo8ePYzQFDKW+ulL/f27\n4Xx6leA0JErwuBk488teHD+wA/0Hj4ZUKhMdicjqNNk9HhkZiQkTJgAA/P39UVhYiJKSEgBAWloa\nnJ2d4enpCalUitGjRyMysuECA++99x6eeOIJI0Sn9pKSkgxnZ2e4u3cQHYUEcnFTo//g0cjNuY6L\n8adFxyGySk0eaefm5iIwMFB/283NDVqtFo6OjtBqtXBzc2uwLS3t1sxJ8fHx8PT0hFqt1t+3ZcsW\nFBQUwN/fH2vXroWdnd0dX9vVVQm53Dz/mlerVaIjGERZWRkyMtIxePBgaDROUDnm67epHO/83lkS\ntvOWyffPR+zpIzhx6DsMDR4DiUTS6tcT8R2xlO9lU9hOy9Xi63dasuJPREQEZs2apb+9ePFi9OzZ\nEz4+PggLC8MXX3yBpUuX3nH/goKylsYzCWq1ClptsegYBnHhQgJ0Oh06d/aDVluM4pIKAHW/4Ot/\ntmRsZ0P2qg7o3X8YEmIjEftrFLoFDGj1a7b3d8SSvpd3w3aav7v9MdJk97hGo0Fubq7+dk5Ojv7I\n+c/bsrOzodFo9LejoqIwcOBA/e2QkBD4+NTNqDVu3Dhcvny5Bc0gEVJS6gah+fv7C05CpmJkyIMA\ngGMHIgQnIbI+TRbt4OBg7Nu3DwCQkJAAjUYDR8e6pRm9vb1RUlKC9PR01NTU4MiRIwgODgZQV8Ad\nHBygUCgA1B2hL1myBEVFRQDqCnr37t2N0igynPpBaF278r2iOl6d/dEtYCCuJiXgWsol0XGIrEqT\n3eNBQUEIDAzEvHnzIJFIEBYWhh07dkClUiEkJATr16/HM888AwCYOnUq/Pz8AOC2890SiQRz5szB\nkiVLYG9vDw8PDyxfvtxIzSJDSUlJhkQigZ9fV9FRyISMmvgQki7G4Of93yD0sRdFxyGyGhJdS05S\ntzNzPV9hKedadDodpk8PgUrljK+++hYAcDT2OgCe67U0rWnntnf+gdTkC3jkmdfg7dvyyzjHDGjf\neewt5XvZFLbT/LXpnDZZr7y8XBQVFXEmNGrU2CnzAABH9vxPcBIi68GiTXd063w2B6HR7fy694Gv\nf28kXohGeioHlRK1BxZtuqP66Uv9/TkIjW4nkUgwbup8ADzaJmovLNp0R1wohJri170PunQL5NE2\nUTth0aY7Sk5OhJ2dHby82nfAEJkXntsmaj8s2tSompoapKZehZ+fP6RSfkzozni0TdR++NuYGnXt\nWipqamo4CI2apf5o+/DurwUnIbJsLNrUKA5Co5bw694Hfj36IuliDK4mJYiOQ2SxWLSpURyERi01\n4b5FAIADP37eooWFiKj5WLSpUbxGm1qqc5ceCOg3FGlXLuFywq+i4xBZJBZtalRyciLUag2cnV1E\nRyEzMn7aAkgkEhz86QvcvHlTdBwii8OiTbcpLLwBrTaH57OpxTSePug/eDSyM1JxLvq46DhEFodF\nm26TlFQ3CK1bNxZtarmxU+ZDJpPj8O6vUFNTLToOkUVh0abb3Bo5zkFo1HKu7hoMCp6EgrxsnI08\nKDoOkUVh0abb1B9ps3ucWmv0xIegUNjh6N7/obKiXHQcIovBok23SU5OhEJhC2/vzqKjkJlydHJB\n8PiZKCm+gV8OfSc6DpHFYNGmBmpqanD16hV07doVcrlcdBwyY8HjZkDl7IaTh39AYUGu6DhEFoFF\nmxq4di0V1dXV7BqnNlPY2mHCfQtRXV2Fgz99IToOkUVg0aYGOHKcDKn/4DHo2MkPcWeO4vq1JNFx\niMweizY1kJxct0oTj7TJEKRSKSbPWgIA2PvdJ5zelKiNWLSpAY4cJ0Pr2qMfevYZjNTkC7h07rTo\nOERmjUWbGkhOToSHR0eoVCrRUciCTJyxGFKpFPt++A9qqjnhClFrsWiTXn5+HvLz83mUTQan9vDG\nkJFTkK/NxMmjO0XHITJbLNqkx0FoZExjp8yHg6MTft73DS8BI2olFm3Sq1+Ok0WbjMFe6YCQ+xej\nuqoS+77/VHQcIrPEok16t+YcZ9Em4xgwZCy8u/TA+ZgTiI4+IzoOkdlh0Sa9pKRE2Nvbo1Mnb9FR\nyEJJpVLc99AjkEgkeOedN1BTUyM6EpFZYdEmAEBVVRVSU6+ga1d/SKX8WJDxePn4454RIbh69Qq+\n/TZcdBwis8LfzgQASE29itraWnaNU7uYcN9CODk5Yfv2j5CTky06DpHZaFbR3rhxI+bOnYt58+Yh\nPj6+wbaTJ0/ioYcewty5c/Hee+8BAKKiojBs2DCEhoYiNDQUr7zyCgAgMzMToaGhWLBgAZ566ilU\nVVUZuDnUWklJdTOhcRAatQelgxMee+xJlJeX4e23X+dMaUTN1GTRPn36NFJTUxEeHo4NGzZgw4YN\nDba/+uqr+H//7//hq6++wokTJ5CUVDcCeciQIfjss8/w2Wef4cUXXwQAbNmyBQsWLMCXX34JX19f\nREREGKFJ1BochEbtbdq0GRgwIAi//HIMx44dFR2HyCw0WbQjIyMxYcIEAIC/vz8KCwtRUlICAEhL\nS4OzszM8PT0hlUoxevRoREZG3vG5oqKiMH78eADA2LFj7/pYal/112h37eovOAlZC4lEgtWrn4eN\njQ3efvt1/e8VIrqzJot2bm4uXF1d9bfd3Nyg1WoBAFqtFm5ubo1uS0pKwmOPPYb58+fjxIkTAIDy\n8nIoFAoAgLu7u/6xJJZOp0Ni4mV4e3eGg4Oj6DhkRXx8fLF48V+Rl5eLDz54V3QcIpMnb+kOzTn3\n1KVLFzz55JOYMmUK0tLSsHjxYuzfv7/Fz+PqqoRcLmtpRJOgVpvP3N1paWkoLi7CvfcGN5lb5WjX\n6M+WjO00jvrP2ooVT+Do0YP44YcdmD37Adxzzz1Gf01Lx3ZariaLtkajQW7urSkHc3JyoFarG92W\nnZ0NjUYDDw8PTJ06FQDg4+ODDh06IDs7G0qlEhUVFbCzs9M/9m4KCspa1SjR1GoVtNpi0TGaLTLy\nVwBAly7dmsxdXFIBoO4XfP3PloztNJ4/ftaefvp5PPnk3/GPf7yIbds+0/fIGZK5fS9bi+00f3f7\nY6TJ7vHg4GDs27cPAJCQkACNRgNHx7ouVG9vb5SUlCA9PR01NTU4cuQIgoODsXPnTmzbtg1AXRd6\nXl4ePDw8MGLECP1z7d+/HyNHjmxz46jtfvvtEgCgR49egpOQterbtx9mzHgQqalXsH37h6LjEJms\nJo+0g4KCEBgYiHnz5kEikSAsLAw7duyASqVCSEgI1q9fj2eeeQYAMHXqVPj5+UGtVmP16tU4dOgQ\nqqursX79eigUCixfvhxr1qxBeHg4vLy8MHPmTKM3kJp2+TKLNon32GNPIirqJL7++nPce+8o9OnT\nT3QkIpMj0ZnwBZLm2vUhstvmaOz1Fj1ep9Phn88vhr3SESvX/bvZ+7Hb2LKIaOeYAZ1uuy829iye\neupxdOrkje3bv4CdneHOs1tyd+ofsZ3mr03d42TZbuRrUV5WAq/OvNSLxBswIAizZ89DenoaPvzw\nfdFxiEwOi7aVy0hLBgB4smiTifj73x+Hj48vIiK+RkxMtOg4RCaFRdvK1Rdtr85dBSchqmNra4e1\na8MglUqxadPLKC3lpCtE9Vi0rZz+SNubRZtMR+/efbBw4WJkZWXiX/96XXQcIpPBom3FdDodMtOS\n4eruAaWD9U1SQKbtL395BAEBgdi/fw/27dstOg6RSWDRtmKFBVqUlRaza5xMklwuR1jYq1AqHfDW\nW5uRnp4mOhKRcCzaVoyD0MjUeXl1wjPPrEF5eRlefvkFVFdXi45EJBSLthXLSEsBAF7uRSYtJGQy\nJk+ehkuXLuLjj5s/lwCRJWLRtmIcOU7mYuXK1fD27oyvvvockZEnRMchEoZF20rVD0JzcVND6eAk\nOg7RXSmVDggL2wCFQoFXXlmHjIyWzfxHZClYtK1U0Y08lJYUsWuczEbPnr2watWzKCkpxosvrkFl\npeVPL0v0ZyzaVoqD0MgcTZt2P6ZPn4nExMt4883XYMJLJxAZBYu2lbp1PptFm8zLihXPoGfPXti7\ndxd27vxOdByidsWibaX0RZszoZGZsbW1xSuvvAYnJyds2fImzp+PFx2JqN2waFshnU6HjGtJcHZV\nw0HlLDoOUYt17OiJsLANqK2txT/+8SyysjJFRyJqFyzaVqggLxulJUXo3KWH6ChErTZ48FAsX74K\nBQX5eO65Z1BWVio6EpHRsWhbofTURABAJ9/ugpMQtc0DD8zBzJkPIiUlCS+//CJqa2tFRyIyKhZt\nK5R+9TcAQOcuPQUnIWobiUSCFSuewaBBQ3Dy5C/YuvVd0ZGIjIpF2wqlXb0MmUwOT28/0VGI2kwu\nl+OllzbBx8cX4eFf4IcfvhUdichoWLStTE11NbLSr6Bjpy6wUdiKjkNkECqVCv/851twcXHFv/71\nOo4dOyI6EpFRsGhbmcz0FNTW1sCbg9DIwnh7d8bmzf+Cra0tXn75RcTGnhUdicjgWLStTNrVywAA\nb18WbbI8vXr1xquvbsbNmzexdu1qJCcnio5EZFAs2lbmempd0eblXmSpBg8eirVrw1BSUoLVq5/i\n4iJkUVi0rUza1d+gdFDBtUNH0VGIjGbChEl48slVyMvLxapVy5CdnS06EpFBsGhbkcKCXNzI18LH\nrxckEonoOERGNWfOfPz1r48gMzMDK1c+zsJNFoFF24pcS7kIAPDxDxCchKh9LFnyNyxe/Fdcv56O\nv/zlL8jLyxUdiahNWLStSOrvRdu3a2/BSYjaz9Klj2L+/FBcuXIFq1YtQ0FBvuhIRK3Gom1FUpMv\nQm6jgGdnruxF1kMikeCxx57E4sWLcfXqFSxf/hi02hzRsYhaRS46ALWP8rJS5GSmwte/N+RyG9Fx\niHA0tn1HdQ8YPQ9J6YU4efgH/O2RpXh42Xq4tXFA5pgBnQyUjqh5mlW0N27ciLi4OEgkEqxduxb9\n+vXTbzt58iTeeustyGQyjBo1CsuWLQMAbN68GdHR0aipqcGjjz6KiRMn4rnnnkNCQgJcXFwAAEuX\nLsWYMWMM3yq6TdrVS9DpdPD1Z9c4WSeJRIJJMx6GnZ0Sh3d/hW1vr8XDy9ZD4+kjOhpRszVZtE+f\nPo3U1FSEh4cjOTkZa9euRXh4uH77q6++im3btsHDwwOLFi3CpEmTkJubi8TERISHh6OgoACzZs3C\nxIkTAQBPP/00xo4da7wWUaP0g9C6chAaWS+JRIIxk+fA1s4ee3Zsx/YtLyD08XXo5NNNdDSiZmny\nnHZkZCQmTJgAAPD390dhYSFKSkoAAGlpaXB2doanpyekUilGjx6NyMhIDB48GO+88w4AwMnJCeXl\n5VwyT7DU5IuQSKRc2YsIwPAx0zFz/jKUl5Vi+5YX8Nv5M6IjETVLk0U7NzcXrq6u+ttubm7QarUA\nAK1WCzc3t9u2yWQyKJVKAEBERARGjRoFmUwGAPj888+xePFirFq1Cvn5HMXZHqqrKnE9NREdO3WB\nnb1SdBwikxA0fALmLX0W0Onw5Uf/xOnje0RHImpSiwei6XS6Zj/24MGDiIiIwPbt2wEAM2bMgIuL\nCwICAvDhhx/i3Xffxbp16+64v6urEnK5rKURTYJarRLyuipHu9vuu3zhImpqqtEzcECj2w35WpaI\n7bQcf27jkBGj4dGxIz7esh4/ffMhSovzcN9Df4VU2rwLa0R9z5tiqrkMzVra+UdNFm2NRoPc3FsT\nEuTk5ECtVje6LTs7GxqNBgBw/PhxbN26FR9//DFUqrp/2OHDh+sfO27cOKxfv/6ur11QUNb8lpgQ\ntVoFrbZYyGsXl1Tcdt/5uGgAgLdf70a3t4bK0c5gz2XK2E7Lcac2uml88fdV/8Rn/34FR/Z+i6yM\ndDyw6CnY2tk3+Zyivud3I/L3T3uy5Hbe7Y+RJv+cDA4Oxr59+wAACQkJ0Gg0cHR0BAB4e3ujpKQE\n6enpqKmpwZEjRxAcHIzi4mJs3rwZH3zwgX6kOAAsX74caWlpAICoqCh07969TQ2j5km5HA+pVMaR\n40R34Orugb+t2oQu3frgYnwUPnxrDfJyMkTHIrpNk0faQUFBCAwMxLx58yCRSBAWFoYdO3ZApVIh\nJCQE69evxzPPPAMAmDp1Kvz8/PSjxleuXKl/ntdeew0LFy7EypUrYW9vD6VSiU2bNhmvZQQAqCgv\nRca1ZHT26wFb26aPHIisldJBhYeXhWHf95/i1M+78MGb/4eHHn4aPXrfIzoakZ5E15KT1O3MXLs+\nRHbb/HnCikvnTuPLjzZh9KTZGD9tgcFexxq6UwG205K0pI2xp49g59f/Rm1tDcZOmYdREx+EVHr7\n+BpTnFzFkruN/8iS29mm7nEybymXzwEAuvbo18QjiajegCFj8beVm+Dk4o7Du7/Cf99/GcWFvNqF\nxGPRtnApl+NhY6Pg9dlELeTl44/Hn30TvfoMRsrleLz/2iokXjgrOhZZORZtC1Z0Iw85mdfg498b\nchvON07UUkoHJ8z/+/OY+uBSVJSX4bOtr2Dv95+iurpKdDSyUizaFuzyhbpLvXoGciANUWtJJBIM\nG30f/v70P+Gu9sTJwz9g6+urcf1akuhoZIVYtC3Y5YS6ot2do1+J2syrsz8ef/YtDBk5BdqsNHz0\n1hp8/PFWVFdXi45GVoRF20LVVFcj5bd4uGu84K72FB2HyCIobO1w3+xHsOTJl+Dk4o7//nc7/v73\nh3HuXLzoaGQlWLQt1NXkBFRVVfAaUyIj6NqjH55Y8zamT5+FlJQkLFv2N7z++kYUFRWKjkYWjkXb\nQtV3jfcIHCQ4CZFlsrNX4v/+73m8995H8PPzx48/fo9Fi+Zgz56fcPPmTdHxyEKxaFsgnU6HxAvR\nUNjawdef62cTGVPfvv2xbdtnePzx5aioKMemTS/jscf+inPn4kRHIwvEom2BcjKvIU+biW69BkIu\n56VeRMYml8sxf34o/vvfcIwfPxGXLl3AsmV/R1jY88jIuN70ExA1E4u2BTofcwIA0GdgsOAkRNal\nY0dPhIW9ivff/xi9e/fBkSOHEBo6B2+//XqDFRGJWotF28LodDqcjzkBGxsFevD6bCIh+vTph/ff\n/xgvvvgyOnRQY8eObzB//iz8+99bcOPGDdHxyIyxaFuY7IyryMvJQI/AQVDY2omOQ2S1pFIpQkIm\n44svIrB69fNwcnLGV199jrlzZ+L997cgN1crOiKZIRZtC3PuLLvGiUyJXC7H/ffPwpdffosVK56B\ng4MDvv66rni//vpGpKVdEx2RzAiLtgXR6XRIiDkBhcIO3dk1TmRSbG1t8dBDc/H119/h2WfXQqPp\n+PtlYrPx/POrER19Gia8UjKZCLnoAGQ48fGxyM/NQr97RkGhsBUdh4gaoVAocN99MzFlynT8/PNh\nfP31Fzhx4hhOnDgGP7+ueOCBOQgJmQSl0kF0VDJBPNK2ID/++D0A4J4RIYKTEFFTZDIZxo0LwYcf\nfoqtW7djwoRJuHYtFW+++U/MnDkFGze+hNjYszz6pgZ4pG0hCgtv4OjRQ3DXeKFLt0DRcYioBXr3\n7oN16/rgiSeewq5dP2DPnp+wd+8u7N27C506dcaUKdMwefI0aDQeoqOSYCzaFmLfvj2oqqrCoBET\nIZFIRMchsgpHYw0/cYpv/8l4pO9EpCZfQMblSBw9eggff7wV27Z9gP79B2LMmPEYNWosOnToYJDX\nM0Yb/mjMgE5GfX5rw6JtAXQ6HX788XvY2NhgwJCxouMQURtJpVL4de+Dv8yehJUrV+Pw4YPYu3cX\nYmPPIjb2LN555w307dsfY8aMx+jRY6FWa0RHpnbCom0BTp06gdTUK5gwYRIcHJ1ExyEiA3JwcMT0\n6TMxffpMaLU5OHbsCI4ePYz4+FjEx8diy5Y30atXAIYOHYGhQ4dj1KhhoiOTEbFomzmdTodPP90G\nAFi48GGkFQsORERGo1Zr8OCDc/Hgg3ORl5eLY8eO4uefDyMuLgaXLl3Ef/6zDc7Ozhg0aCiGDh2O\nQYOGoEMHtejYZEAs2mbuzJlTuHgxAaNHj4O/fzekGfn8FBGZBnf3Dpg16yHMmvUQyspKER19BqdO\nReLXX0/h0KH9OHRoPwCgU6fOGDBgIAYMCMKAAUHw8OgoODm1BYu2GfvjUfbixX8VnIaIRFEqHTBy\n5BiMHDkGHTo44syZOJw6FYnY2GjEx8di166d2LVrJ4C6RU369u2P3r0DERAQiJpqR8htuBqguWDR\nNmOHDx/A+fPxuPfeUejevYfoOERkAiQSCfz8/OHn54/58xehtrYWSUmJiIurG8QWFxeLAwf24sCB\nvQAAmUyOjp26oJNvd3h19kdHry5Qd/SGDSdoMkks2maqqKgQW7a8BVtbWyxbtlJ0HCIyUTKZDD17\n9kLPnr0wZ84C3Lx5E+npabh4MQEXLyYgKjoWWelXcP1akn4fiUQKN3VHeHj6wsPr1n+u7h6QSjkn\nl0gs2mbq/fe3oKAgH48/vhydOnmLjkNERtCaa6hVjnYoLqlo4lFy2Hr0xwCP/hgwZgFqqquRlXEF\nWelXkZ2ZiqzrV5GTeQ0X4iJxIS5Sv5eNjQKuHTrCXe0Jd7UX3NQd4a72grvaEypnN84R0Q5YtM3Q\n3r27sHv3j+jevSdmz54vOg4RmTm5jQ28fXvA2/fWaTadTofiwnxkZVxFdsY15GSkIicrDfnaTORk\n3r4ymY3CFm4dOsLZtQOcXdVwdu0AF1c1XCW94OHRER06qCGXs+S0Ff8FzcyZM1F47bVXoVI54cUX\nX+aXgIiMQiKRwMnFHU4u7ujR+9aqgTqdDqXFhcjLzUS+NhN52gzk5WQiT5uJgtwsZGekNnieiP/W\n/V8qlcLdvQPc3d3h6uoGNzd3uLnV/f/W7br/HBwceNR+B836jb9x40bExcVBIpFg7dq16Nevn37b\nyZMn8dZbb0Emk2HUqFFYtmzZHffJzMzEs88+i9raWqjVarz++utQKBTGaZkFOn78Z2zYsB5SqRQb\nN76OLl38REciIisjkUjg6OQCRycX+HYNuG17RXkpCgtycaNAi8L8XDgrKpCdnYWcnGzk5GQjJSUZ\nVVUX7/oaCoUCzs4uUKmc4OTkBJXKCSqVCk5Ozvrb3t4eAGzg4OAIpdIBSqUSSqUSdnb2Fn3evcmi\nffr0aaSmpiI8PBzJyclYu3YtwsPD9dtfffVVbNu2DR4eHli0aBEmTZqE/Pz8RvfZsmULFixYgClT\npuCtt95CREQEFixYYNQGWoKiokJ8+uk2RER8DYXCFuvWvYr+/QeKjkVEdBs7ewfY2TvAw8sXwO1z\nj+t0OpSWlqKgIA95eXkoKMhHfn4+8vPrf85Dfn4+iooKodXm4MqV5BatdCaRSGBvr9QXcaVSCXt7\nJRwcHKBUOsDe3h62trawtbWFQmELOzu732/bQaGw1W+zs2t429bWFjY2CigUNrCxUQj7w6DJoh0Z\nGYkJEyYAAPz9/VFYWIiSkhI4OjoiLS0Nzs7O8PT0BACMHj0akZGRyM/Pb3SfqKgovPTSSwCAsWPH\nYvv27e1atKuqqlBWVgZAp/8Q/PH/tz4Xujvef+u+hvv/8eeyMiXy8kr+8Fy4bb+Gz/XH/XW/Z63G\nlSvJiI+PxaFD+1FZWQkfny546aWN8PfvZoB/DSKi9ieRSODo6AhHR0d07uzb5ONra2tRWlqCoqIi\nFBUVobi4CEVFhdDpqnD9ejZKS0tRXl6G0tJSlJWVoays7nZZWRmKioqQlZWFqqpKg7dDJpNBoVDA\n0VGFl1/ehMDAvgZ/jcY0WbRzc3MRGHhrqUc3NzdotVo4OjpCq9XCzc2twba0tDQUFBQ0uk95ebm+\nO9zd3R1ardaQbbmr8vJyzJlzPwoLC9vtNQ3F09MLs2bNxowZD8De3l50HCKidiOTyX7vFnducL9a\nrYJW27x5m2tqavSFvaKiHJWVlaioqEBlZSUqKytRVVXZ4L7625WVFQ3+X11dg+rqKlRXV6Oqqu7/\nMpkMdnZ2xmh6o1o8iqk1C7I3tk9znketVrX4te5MhVOnThnw+UzT7JBeoiMQEbWLltUIV6PlaE9N\nFm2NRoPc3Fz97ZycHKjV6ka3ZWdnQ6PRwMbGptF9lEolKioqYGdnp38sERERNU+TZ9KDg4Oxb98+\nAEBCQgI0Gg0cHR0BAN7e3igpKUF6ejpqampw5MgRBAcH33GfESNG6O/fv38/Ro4caax2ERERWRyJ\nrhn91G+88QZ+/fVXSCQShIWF4cKFC1CpVAgJCcGZM2fwxhtvAAAmTpyIpUuXNrpPr169kJOTgzVr\n1qCyshJeXl7YtGkTbA8QmSEAAAXLSURBVDhRPRERUbM0q2gTERGReJZ7BToREZGFYdEmIiIyE5y4\nug1aM72rOdq8eTOio6NRU1ODRx99FBMnTtRvGzduHDp27AiZTAagbiyDh4eHqKitFhUVhaeeegrd\nu3cHAPTo0QMvvviifrslvJ/ffPMNdu7cqb99/vx5xMTE6G8HBgYiKChIf/vTTz/Vv6/m4PLly3ji\niSewZMkSLFq0qFnTJt/tO2yqGmvn888/j5qaGsjlcrz++uv6K3yApj/bpurP7XzuueeQkJAAFxcX\nAMDSpUsxZsyYBvuY4/vZYjpqlaioKN0jjzyi0+l0uqSkJN2cOXMabJ8yZYouIyNDV1tbq5s/f74u\nMTFRRMw2i4yM1P3tb3/T6XQ6XX5+vm706NENto8dO1ZXUlIiIJlhnTp1Srd8+fI7breU97NeVFSU\nbv369Q3uGzJkiKA0bVdaWqpbtGiR7oUXXtB99tlnOp1Op3vuued0u3fv1ul0Ot2bb76p++KLLxrs\n09R32BQ11s5nn31Wt2vXLp1Op9N9/vnnutdee63BPk19tk1RY+1cs2aN7vDhw3fcxxzfz9Zg93gr\n3Wl6VwANpneVSqX66V3N0eDBg/HOO+8AAJycnFBeXo7a2lrBqdqXJb2f9d577z088cQTomMYjEKh\nwEcffdRg7oeoqCiMHz8eQN20yX9+z+72HTZVjbUzLCwMkyZNAgC4urrixo0bouIZTGPtbIo5vp+t\nwaLdSrm5uXB1vTXDTv1UrQAand61PadsNSSZTAalUgkAiIiIwKhRo27rMg0LC8P8+fPxxhtvtGrG\nPFORlJSExx57DPPnz8eJEyf091vS+wkA8fHx8PT0bNCFCtTNzf/MM89g3rx5+OSTTwSlax25XH7b\nVJJNTZt8t++wqWqsnUqlEjKZDLW1tfjyyy8xffr02/a702fbVDXWTgD4/PPPsXjxYqxatQr5+fkN\ntpnj+9kaPKdtIOZcrJrj4MGDiIiIwPbt2xvcv2LFCowcORLOzs5YtmwZ9u3bh8mTJwtK2XpdunTB\nk08+iSlTpiAtLQ2LFy/G/v37LXLp2IiICMyaNeu2+5999lncf//9kEgkWLRoEQYNGoS+fdtnEQRj\na87305y/w7W1tXj22WcxbNgwDB8+vME2S/lsz5gxAy4uLggICMCHH36Id999F+vWrbvj4835/bwb\nHmm3UmumdzVXx48fx9atW/HRRx9BpWo41+/MmTPh7u4OuVyOUaNG4fLly4JSto2HhwemTp0KiUQC\nHx8fdOjQAdnZ2QAs7/2MiorCwIG3L+06f/7835cvVGLYsGFm+17Wq582GWj8Pbvbd9jcPP/88/D1\n9cWTTz5527a7fbbNyf9v725dFYbCMIA/ijI/osEsBtFmEDEJA/8Lm0lQQTRYBNvwIwgmhwajTfZX\nCIJp2SIGwylq0oE3yB2X68e97AbvGc8vbuUc3jOe7XB4l8vlkEze/t+tqurd+nRTPV9haDvkpL2r\njI7HI3q9HsbjsX1q8+u9UqmE8/kMAFitVvYJVdkYhoHpdArgth0uhLBPwbupnvv9HuFw+O4ra7PZ\noNFo4Hq9wrIsrNdraWv56ae2ya+eYZkYhgG/349arfb0/rO1LZNqtYrtdgvg9uL5fX26pZ4/YUe0\nP3DS3lU28/kco9EIsVjMvpbNZpFIJFAoFDCbzbBYLKAoClKpFNrtNjwezxtH7MzpdEKz2cThcMDl\nckGlUoEQwnX1NE0Tw+EQk8kEAKDrOjKZDNLpNPr9PpbLJbxeL1RVRblcfvNof880TXS7Xex2O/h8\nPkSjUQwGA7Rarbu2yfV6HZqmIRAIPGy3/J89mqcQAoqi2AEVj8fR6XTseVqWdbe28/n8m2fy2qN5\nFotF6LqOYDCIUCgETdMQiUSkrqcTDG0iIiJJcHuciIhIEgxtIiIiSTC0iYiIJMHQJiIikgRDm4iI\nSBIMbSIiIkkwtImIiCTB0CYiIpLEBynfC8QdxNDyAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28df389b0>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "k7aVMqcXg5JM",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# 2次元分布\n",
"## 1、jointplot"
]
},
{
"metadata": {
"id": "EB6WV2f47mDf",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 437
},
"outputId": "8c0c2480-805d-4dde-c1ac-aa534d1294a4"
},
"cell_type": "code",
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats, integrate\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"sns.set(color_codes=True)\n",
"np.random.seed(sum(map(ord, \"distributions\")))\n",
"\n",
"# 2つの正規分布を生成する。\n",
"mean, cov = [0, 1], [(1, .5), (.5, 1)] \n",
"# 指定した期待値と分散共分散でデータを生成する\n",
"data = np.random.multivariate_normal(mean, cov, 200) \n",
"\n",
"df = pd.DataFrame(data, columns=[\"x\", \"y\"])\n",
"\n",
"with sns.axes_style(\"ticks\"):\n",
" sns.jointplot(x=\"x\", y=\"y\", data=df)\n"
],
"execution_count": 35,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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gSB/Z9+rexY33Sw52+JqnuRX5A3piyAU5YUcmwR3gwJ9lWfLhTaXfcTTThlah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\nhkGIiIiE+f99zydkEy/bugAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd2917cf5f8>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "weUKFeYqPcQL",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 437
},
"outputId": "5eaab2cf-9f9f-4f8b-82d5-b403a0e8e6c2"
},
"cell_type": "code",
"source": [
"x, y = np.random.multivariate_normal(mean, cov, 200).T\n",
"with sns.axes_style(\"ticks\"):\n",
" sns.jointplot(x=x, y=y, kind=\"hex\")"
],
"execution_count": 36,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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2njjdfZmPDZSXHHsqOFs0TcPn05g9tZT6qiI27u7JS903EwkhD7y8uYO06eT1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\n+pXRy1PghWKR3sE0qUy+Kr9rC7CKFl19YwR8JnV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Tn+ZTn/oUR48edbpLjjly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\n6h9eAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28db319e8>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "hyrXheuL-fih",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 437
},
"outputId": "d483a640-20c0-4e82-a6bd-cd4b2a4e41ef"
},
"cell_type": "code",
"source": [
"x, y = np.random.multivariate_normal(mean, cov, 200).T\n",
"with sns.axes_style(\"ticks\"):\n",
" sns.jointplot(x=x, y=y, kind=\"kde\") \n"
],
"execution_count": 39,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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io4wwm40wm7z/eL7+aIDVYkJkhBm2CDNs1rOfW81nv2ZCpNX7vehIC2KiLIiKMPOdEFEI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\nMISIiEgYhhAREQnz/wH6Ffa6mp6hUQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28d80cb00>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "-JWzov8IiJHy",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## 2、subplots"
]
},
{
"metadata": {
"id": "RLWDpdRbEU9k",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 405
},
"outputId": "7f34c1cf-9d37-4bdb-924f-101b78e0e0c5"
},
"cell_type": "code",
"source": [
"f, ax = plt.subplots(figsize=(6, 6))\n",
"sns.kdeplot(df.x, df.y, ax=ax)\n",
"sns.rugplot(df.x, color=\"g\", ax=ax)\n",
"sns.rugplot(df.y, vertical=True, ax=ax)\n"
],
"execution_count": 41,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd28d6d3208>"
]
},
"metadata": {
"tags": []
},
"execution_count": 41
},
{
"output_type": "display_data",
"data": {
"image/png": 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fuXMb33//DXZ29ixf/iWurm41uu8RtyP44IuPAAnLZn6Kj6d3lefUp4TkBKYtmo6RoRHf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0+fIDAwgHbtOlK6tHIJOL8szSxo1aQVQcFBBN6+woVAH6pXqpa5bIOyseeXro4u9rY1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\nfUEQBA0ikr4gCIIGEUlfEARBg/wfk+J5JYSv/Y0AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28d6c3cc0>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "fRpndC4XifKN",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## 3、cubehelix_palette"
]
},
{
"metadata": {
"id": "AJZlaMgnE-2d",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 405
},
"outputId": "95a4fc49-7c34-4cd8-b78a-f9d69f963a7d"
},
"cell_type": "code",
"source": [
"f, ax = plt.subplots(figsize=(6, 6))\n",
"cmap = sns.cubehelix_palette(as_cmap=True, dark=1, light=0)\n",
"sns.kdeplot(df.x, df.y, cmap=cmap, n_levels=60, shade=True)\n"
],
"execution_count": 42,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fd28da7cd68>"
]
},
"metadata": {
"tags": []
},
"execution_count": 42
},
{
"output_type": "display_data",
"data": {
"image/png": 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EzrJVxGyAopB03paR5cdEO8B6lW8brhkb7SxejxzOqZBufiKhrI5bKW2q8gFK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\nA+N2Xji/RZoDAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28da5d5c0>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "PdkW3C6sjolo",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"## 4、plot_jointとjointplot同時に使用"
]
},
{
"metadata": {
"id": "f0GuS5qwikVd",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 456
},
"outputId": "b5a40816-cc74-4178-e765-55273cd555f2"
},
"cell_type": "code",
"source": [
"g = sns.jointplot(x=\"x\", y=\"y\", data=df, kind=\"kde\", color=\"y\")\n",
"g.plot_joint(plt.scatter, c=\"m\", s=30, linewidth=1, marker=\"+\")\n",
"g.ax_joint.collections[0].set_alpha(0) #画背景网格线\n",
"g.set_axis_labels(\"$X$\", \"$Y$\")\n"
],
"execution_count": 43,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<seaborn.axisgrid.JointGrid at 0x7fd28dac3a20>"
]
},
"metadata": {
"tags": []
},
"execution_count": 43
},
{
"output_type": "display_data",
"data": {
"image/png": 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ARMNjKltSHEiMCIIgKgCNlsSIIAiCUBmW94xCTpUtKQ4kRgRBEBWARmcFQJ4R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\nAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd28dac3978>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "QZbu0lQfjcLQ",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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