{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- **Author：** 马肖\n",
"- **E-Mail：** maxiaoscut@aliyun.com\n",
"- **GitHub：** https://github.com/Albertsr"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"import warnings \n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"import seaborn as sns\n",
"from matplotlib import pyplot as plt\n",
"from sklearn.datasets import load_iris\n",
"\n",
"%matplotlib inline\n",
"sns.set(style=\"white\", color_codes=True)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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" | \n",
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" | 0 | \n",
" 5.1 | \n",
" 3.5 | \n",
" 1.4 | \n",
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" Setosa | \n",
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" \n",
" | 1 | \n",
" 4.9 | \n",
" 3.0 | \n",
" 1.4 | \n",
" 0.2 | \n",
" Setosa | \n",
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" \n",
" | 2 | \n",
" 4.7 | \n",
" 3.2 | \n",
" 1.3 | \n",
" 0.2 | \n",
" Setosa | \n",
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" \n",
" | 3 | \n",
" 4.6 | \n",
" 3.1 | \n",
" 1.5 | \n",
" 0.2 | \n",
" Setosa | \n",
"
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" \n",
" | 4 | \n",
" 5.0 | \n",
" 3.6 | \n",
" 1.4 | \n",
" 0.2 | \n",
" Setosa | \n",
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