diff --git a/2023/homework/WangTianlong/homework-matplotlib_seaborn.ipynb b/2023/homework/WangTianlong/homework-matplotlib_seaborn.ipynb new file mode 100644 index 00000000..0e8cfbdc --- /dev/null +++ b/2023/homework/WangTianlong/homework-matplotlib_seaborn.ipynb @@ -0,0 +1,1291 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "8291bd3e", + "metadata": {}, + "outputs": [], + "source": [ + "# 数据可视化作业题目" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bda9f437-af21-4bc4-beb9-59034544e317", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "markdown", + "id": "67d732a4-44e5-4313-bf75-0b1b1d036aee", + "metadata": {}, + "source": [ + "## 练习1：航班乘客变化分析 (2个题)\n", + "\n", + "1. 分析年度乘客总量的变化情况（提示：折线图）\n", + "2. 分析乘客量在一年中12个月份的分布（提示：柱状图）" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fbecfad8-61bd-483d-a1cc-e6cb6b69188a", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
yearmonthpassengers
01949Jan112
11949Feb118
21949Mar132
31949Apr129
41949May121
\n", + "
" + ], + "text/plain": [ + " year month passengers\n", + "0 1949 Jan 112\n", + "1 1949 Feb 118\n", + "2 1949 Mar 132\n", + "3 1949 Apr 129\n", + "4 1949 May 121" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = sns.load_dataset(\"flights\")\n", + "data.head()\n", + "# 年份，月份，乘客数" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "341a4d22-025f-486a-8e82-954fae22b177", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.lineplot(x='year', y='passengers',data=data)\n", + "plt.title('The number of passenger in each year')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5e30df57-a5ac-41da-b1a1-b42b1baae88b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.barplot(x='month', y='passengers',data=data,errorbar=None)" + ] + }, + { + "cell_type": "markdown", + "id": "66bbde41-e2c6-4bb6-bc80-5c5f3dd75bf6", + "metadata": { + "tags": [] + }, + "source": [ + "## 练习2：鸢尾花花型尺寸分析 (3个题)\n", + "\n", + "1. 萼片（sepal）和花瓣（petal）的大小关系（提示：散点图）\n", + "2. 不同种类（species）鸢尾花萼片和花瓣的大小关系（提示：箱图或者提琴图）\n", + "3. 不同种类鸢尾花萼片和花瓣大小的分布情况（六角箱图或者核密度估计）" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "b71328f2-0ae3-463a-a557-43506a54a8a4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
05.13.51.40.2setosa
14.93.01.40.2setosa
24.73.21.30.2setosa
34.63.11.50.2setosa
45.03.61.40.2setosa
\n", + "
" + ], + "text/plain": [ + " sepal_length sepal_width petal_length petal_width species\n", + "0 5.1 3.5 1.4 0.2 setosa\n", + "1 4.9 3.0 1.4 0.2 setosa\n", + "2 4.7 3.2 1.3 0.2 setosa\n", + "3 4.6 3.1 1.5 0.2 setosa\n", + "4 5.0 3.6 1.4 0.2 setosa" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = sns.load_dataset(\"iris\")\n", + "data.head()\n", + "# 萼片长度，萼片宽度，花瓣长度，花瓣宽度，种类" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "d27db8fe-9406-4897-adc2-32a0a83f359a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(data,x_vars=['sepal_length','sepal_width'],y_vars=['petal_length','petal_width'])" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "e58d7341-e8bc-40c6-9938-0e77bff459be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax =plt.subplots(2,2,constrained_layout=True)\n", + "sns.scatterplot(x='sepal_length',y='petal_length',data=data,ax=ax[0][0],hue=\"species\")\n", + "sns.scatterplot(x='sepal_length',y='petal_width',data=data,ax=ax[0][1],hue=\"species\")\n", + "sns.scatterplot(x='sepal_width',y='petal_length',data=data,ax=ax[1][0],hue=\"species\")\n", + "sns.scatterplot(x='sepal_width',y='petal_width',data=data,ax=ax[1][1],hue=\"species\")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "dffa76b0-43ad-4ef3-a783-7a5e99f7e389", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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", 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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
\n", + "
" + ], + "text/plain": [ + " total_bill tip sex smoker day time size\n", + "0 16.99 1.01 Female No Sun Dinner 2\n", + "1 10.34 1.66 Male No Sun Dinner 3\n", + "2 21.01 3.50 Male No Sun Dinner 3\n", + "3 23.68 3.31 Male No Sun Dinner 2\n", + "4 24.59 3.61 Female No Sun Dinner 4" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = sns.load_dataset(\"tips\")\n", + "data.head()\n", + "# 总消费，小费，性别，吸烟与否，就餐星期，就餐时间，就餐人数" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "9050a71c-23c4-4286-8188-86b0fc107026", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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", 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\n", 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.barplot(data, x=\"sex\", hue=\"smoker\",y='tip')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aefe2f74-5174-42cd-b32d-83991f0f1980", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "ab2fba5b-ad22-43a3-a196-c0ae9a03a523", + "metadata": {}, + "source": [ + "## 练习4：泰坦尼克号海难幸存状况分析 (8个题)\n", + "\n", + "1. 不同仓位等级中幸存和遇难的乘客比例（提示：箱图或者提琴图）\n", + "2. 不同性别的幸存比例（提示：箱图或者提琴图）\n", + "3. 幸存和遇难乘客的票价分布（提示：箱图或者提琴图）\n", + "4. 幸存和遇难乘客的年龄分布（提示：箱图或者提琴图）\n", + "5. 不同上船港口的乘客仓位等级分布（提示：箱图或者提琴图）\n", + "6. 幸存和遇难乘客堂兄弟姐妹的数量分布（提示：箱图或者提琴图）\n", + "7. 幸存和遇难乘客父母子女的数量分布（提示：箱图或者提琴图）\n", + "8. 单独乘船与否和幸存之间有没有联系（提示：统计柱状图）" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "171e617f-9983-445a-b872-ad925ee239a4", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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survivedpclasssexagesibspparchfareembarkedclasswhoadult_maledeckembark_townalivealone
003male22.0107.2500SThirdmanTrueNaNSouthamptonnoFalse
111female38.01071.2833CFirstwomanFalseCCherbourgyesFalse
213female26.0007.9250SThirdwomanFalseNaNSouthamptonyesTrue
311female35.01053.1000SFirstwomanFalseCSouthamptonyesFalse
403male35.0008.0500SThirdmanTrueNaNSouthamptonnoTrue
\n", + "
" + ], + "text/plain": [ + " survived pclass sex age sibsp parch fare embarked class \\\n", + "0 0 3 male 22.0 1 0 7.2500 S Third \n", + "1 1 1 female 38.0 1 0 71.2833 C First \n", + "2 1 3 female 26.0 0 0 7.9250 S Third \n", + "3 1 1 female 35.0 1 0 53.1000 S First \n", + "4 0 3 male 35.0 0 0 8.0500 S Third \n", + "\n", + " who adult_male deck embark_town alive alone \n", + "0 man True NaN Southampton no False \n", + "1 woman False C Cherbourg yes False \n", + "2 woman False NaN Southampton yes True \n", + "3 woman False C Southampton yes False \n", + "4 man True NaN Southampton no True " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = sns.load_dataset(\"titanic\")\n", + "data.head()\n", + "# 幸存与否，仓位等级，性别，年龄，堂兄弟姐妹数，父母子女数，票价，上船港口缩写，仓位等级，人员分类，是否成年男性，所在甲板，上船港口，是否幸存，是否单独乘船" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "1414f1ba-9194-429b-8c04-a2e13b0ef580", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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GI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGc2vsrFq1SoMGDVJQUJCCgoI0bNgwvffee479lmUpLS1N4eHh8vf314gRI3TgwAGn+6irq9Ps2bMVGhqqTp066eabb9a3337b2ocCAAA8lFtjp1evXnrmmWe0e/du7d69W9dff71uueUWR9AsWbJEy5Yt04oVK5Sfn6+wsDCNGTNGx48fd9xHSkqKNm7cqJycHO3cuVMnTpzQ2LFj1dDQ4K7DAgAAHsStsXPTTTfphhtuUN++fdW3b189/fTT6ty5sz799FNZlqXMzEwtXLhQ48ePV2xsrNavX6+amhplZ2dLkiorK/XKK6/oueee0+jRozVkyBBt2LBB+/bt09atW915aAAAwEN4zDk7DQ0NysnJUXV1tYYNG6YjR46otLRUiYmJjjW+vr5KSEhQXl6eJKmgoECnTp1yWhMeHq7Y2FjHmqbU1dWpqqrK6QIAAMzk9tjZt2+fOnfuLF9fX82cOVMbN27UgAEDVFpaKkmy2+1O6+12u2NfaWmpOnbsqK5du551TVMyMjIUHBzsuERERLj4qAAAgKdwe+z069dPe/fu1aeffqp7771X06ZN08GDBx37bTab03rLss7Y9nO/tGb+/PmqrKx0XIqLiy/uIAAAgMdye+x07NhRl112mYYOHaqMjAwNHjxYzz//vMLCwiTpjHdoysrKHO/2hIWFqb6+XhUVFWdd0xRfX1/HN8BOXwAAgJncHjs/Z1mW6urqFB0drbCwMOXm5jr21dfXa8eOHYqPj5ckxcXFycfHx2lNSUmJ9u/f71gDAADaN293PviCBQuUnJysiIgIHT9+XDk5Odq+fbs2bdokm82mlJQUpaenKyYmRjExMUpPT1dAQIAmTZokSQoODtb06dM1d+5chYSEqFu3bpo3b54GDhyo0aNHu/PQAACAh3Br7Bw9elRTp05VSUmJgoODNWjQIG3atEljxoyRJD300EOqra3VrFmzVFFRoauvvlpbtmxRYGCg4z6WL18ub29vTZgwQbW1tRo1apTWrVsnLy8vdx0WAADwIG6NnVdeeeWc+202m9LS0pSWlnbWNX5+fsrKylJWVpaLpwMAACbwuHN2AAAAXInYAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgtGbFTp8+ffTDDz+csf3HH39Unz59LnooAAAAV2lW7HzzzTdqaGg4Y3tdXZ2+++67ix4KAADAVbwvZPGf/vQnx3/evHmzgoODHdcbGhq0bds29e7d22XDAQAAXKwLip1x48ZJkmw2m6ZNm+a0z8fHR71799Zzzz3nsuEAAAAu1gXFTmNjoyQpOjpa+fn5Cg0NbZGhAAAAXOWCYue0I0eOuHoOAACAFtGs2JGkbdu2adu2bSorK3O843Paf//3f1/0YAAAAK7QrNhZvHixnnjiCQ0dOlQ9e/aUzWZz9VwAAAAu0azYeemll7Ru3TpNnTrV1fMAAAC4VLN+Z6e+vl7x8fGungUAAMDlmhU799xzj7Kzs109CwAAgMs162OskydPavXq1dq6dasGDRokHx8fp/3Lli1zyXAAAAAXq1mx88UXX+iKK66QJO3fv99pHycrAwAAT9Ks2Pnggw9cPQcAAECLaNY5OwAAAG1Fs97ZGTly5Dk/rnr//febPRAAAIArNSt2Tp+vc9qpU6e0d+9e7d+//4w/EAoAAOBOzYqd5cuXN7k9LS1NJ06cuKiBAAAAXMml5+xMmTKFv4sFAAA8iktj55NPPpGfn58r7xIAAOCiNOtjrPHjxztdtyxLJSUl2r17txYtWuSSwQAAAFyhWbETHBzsdL1Dhw7q16+fnnjiCSUmJrpkMAAAAFdoVuysXbvW1XMAAAC0iGbFzmkFBQUqLCyUzWbTgAEDNGTIEFfNBQAA4BLNip2ysjL927/9m7Zv364uXbrIsixVVlZq5MiRysnJUffu3V09JwAAQLM069tYs2fPVlVVlQ4cOKB//OMfqqio0P79+1VVVaUHHnjA1TMCAAA0W7Pe2dm0aZO2bt2q/v37O7YNGDBAL774IicoA/BIhYWF7h4BaLdCQ0MVGRnptsdvVuw0NjbKx8fnjO0+Pj5qbGy86KEAwFVO/6r7lClT3DwJ0H4FBPirsPBLtwVPs2Ln+uuv14MPPqg//OEPCg8PlyR99913mjNnjkaNGuXSAQHgYpw8eVKS9OTdY3TDr/u6eRqg/SksOqYp6W+ovLy8bcXOihUrdMstt6h3796KiIiQzWZTUVGRBg4cqA0bNrh6RgC4aNFhXXVl30vcPQYAN2hW7ERERGjPnj3Kzc3Vl19+KcuyNGDAAI0ePdrV8wEAAFyUC/o21vvvv68BAwaoqqpKkjRmzBjNnj1bDzzwgK666ipdfvnl+uijj1pkUAAAgOa4oNjJzMzUf/zHfygoKOiMfcHBwZoxY4aWLVvmsuEAAAAu1gXFzl/+8hf99re/Pev+xMREFRQUXPRQAAAArnJBsXP06NEmv3J+mre3t44dO3bRQwEAALjKBcXOJZdcon379p11/xdffKGePXte9FAAAACuckGxc8MNN+ixxx5z/G7Fv6qtrdXjjz+usWPHumw4AACAi3VBXz1/9NFH9dZbb6lv3766//771a9fP9lsNhUWFurFF19UQ0ODFi5c2FKzAgAAXLALih273a68vDzde++9mj9/vizLkiTZbDYlJSVp5cqVstvtLTIoAABAc1zwjwpGRUXp3XffVUVFhQ4dOiTLshQTE6OuXbu2xHwAAAAXpVm/oCxJXbt21VVXXeXKWQAAAFzugk5QBgAAaGuIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGc2vsZGRk6KqrrlJgYKB69OihcePG6auvvnJaY1mW0tLSFB4eLn9/f40YMUIHDhxwWlNXV6fZs2crNDRUnTp10s0336xvv/22NQ8FAAB4KLfGzo4dO3Tffffp008/VW5urn766SclJiaqurrasWbJkiVatmyZVqxYofz8fIWFhWnMmDE6fvy4Y01KSoo2btyonJwc7dy5UydOnNDYsWPV0NDgjsMCAAAepNl/LsIVNm3a5HR97dq16tGjhwoKCnTdddfJsixlZmZq4cKFGj9+vCRp/fr1stvtys7O1owZM1RZWalXXnlFr776qkaPHi1J2rBhgyIiIrR161YlJSWd8bh1dXWqq6tzXK+qqmrBowQAAO7kUefsVFZWSpK6desmSTpy5IhKS0uVmJjoWOPr66uEhATl5eVJkgoKCnTq1CmnNeHh4YqNjXWs+bmMjAwFBwc7LhERES11SAAAwM08JnYsy1JqaqqGDx+u2NhYSVJpaakkyW63O6212+2OfaWlperYseMZf3X9X9f83Pz581VZWem4FBcXu/pwAACAh3Drx1j/6v7779cXX3yhnTt3nrHPZrM5Xbcs64xtP3euNb6+vvL19W3+sAAAoM3wiHd2Zs+erT/96U/64IMP1KtXL8f2sLAwSTrjHZqysjLHuz1hYWGqr69XRUXFWdcAAID2y62xY1mW7r//fr311lt6//33FR0d7bQ/OjpaYWFhys3NdWyrr6/Xjh07FB8fL0mKi4uTj4+P05qSkhLt37/fsQYAALRfbv0Y67777lN2drbefvttBQYGOt7BCQ4Olr+/v2w2m1JSUpSenq6YmBjFxMQoPT1dAQEBmjRpkmPt9OnTNXfuXIWEhKhbt26aN2+eBg4c6Ph2FgAAaL/cGjurVq2SJI0YMcJp+9q1a3XnnXdKkh566CHV1tZq1qxZqqio0NVXX60tW7YoMDDQsX758uXy9vbWhAkTVFtbq1GjRmndunXy8vJqrUMBAAAeyq2xY1nWL66x2WxKS0tTWlraWdf4+fkpKytLWVlZLpwOAACYwCNOUAYAAGgpxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjebt7gPagvLxcXp1L3D0G0C5V/Piju0cA4GbETgsqKfln4Lz11lvy6tzNzdMA7VPDiX9Ikmpqatw8CQB3IXZa0I//7/9RjhzSR7/qF+PeYYB2Kv/z/dr+F6muvs7dowBwE2KnFXTt7KeeIUHuHgNolwIDfN09AgA3c+sJyh9++KFuuukmhYeHy2az6X//93+d9luWpbS0NIWHh8vf318jRozQgQMHnNbU1dVp9uzZCg0NVadOnXTzzTfr22+/bcWjAAAAnsytsVNdXa3BgwdrxYoVTe5fsmSJli1bphUrVig/P19hYWEaM2aMjh8/7liTkpKijRs3KicnRzt37tSJEyc0duxYNTQ0tNZhAAAAD+bWj7GSk5OVnJzc5D7LspSZmamFCxdq/PjxkqT169fLbrcrOztbM2bMUGVlpV555RW9+uqrGj16tCRpw4YNioiI0NatW5WUlNRqxwIAADyTx/7OzpEjR1RaWqrExETHNl9fXyUkJCgvL0+SVFBQoFOnTjmtCQ8PV2xsrGNNU+rq6lRVVeV0AQAAZvLY2CktLZUk2e12p+12u92xr7S0VB07dlTXrl3PuqYpGRkZCg4OdlwiIiJcPD0AAPAUHhs7p9lsNqfrlmWdse3nfmnN/PnzVVlZ6bgUFxe7ZFYAAOB5PDZ2wsLCJOmMd2jKysoc7/aEhYWpvr5eFRUVZ13TFF9fXwUFBTldAACAmTw2dqKjoxUWFqbc3FzHtvr6eu3YsUPx8fGSpLi4OPn4+DitKSkp0f79+x1rAABA++bWb2OdOHFChw4dclw/cuSI9u7dq27duikyMlIpKSlKT09XTEyMYmJilJ6eroCAAE2aNEmSFBwcrOnTp2vu3LkKCQlRt27dNG/ePA0cONDx7SwAANC+uTV2du/erZEjRzqup6amSpKmTZumdevW6aGHHlJtba1mzZqliooKXX311dqyZYsCAwMdt1m+fLm8vb01YcIE1dbWatSoUVq3bp28vLxa/XgAAIDncWvsjBgxQpZlnXW/zWZTWlqa0tLSzrrGz89PWVlZysrKaoEJAQBAW+ex5+wAAAC4ArEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIzm1q+eA0BrKT5WpT1//c7dYwDtTmHRMXePQOwAMFvNieOSpCX/Z5eW/J9dbp4GaL9KSkrc9tjEDgCj1dedlCT95re3KD5usJunAdqfr/72td55Y4N+/PFHt81A7ABoF4K6hapXVJS7xwDanfLKE+4egROUAQCA2YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0Y2Jn5cqVio6Olp+fn+Li4vTRRx+5eyQAAOABjIid119/XSkpKVq4cKE+//xzXXvttUpOTlZRUZG7RwMAAG5mROwsW7ZM06dP1z333KP+/fsrMzNTERERWrVqlbtHAwAAbubt7gEuVn19vQoKCvTII484bU9MTFReXl6Tt6mrq1NdXZ3jemVlpSSpqqrKpbPV1NRIkg4d+lr19XW/sBpASzj6/feSpO+Li/XZ7j1ungZof4qKvpP0z38TXf3v7On7syzr3AutNu67776zJFkff/yx0/ann37a6tu3b5O3efzxxy1JXLhw4cKFCxcDLsXFxedshTb/zs5pNpvN6bplWWdsO23+/PlKTU11XG9sbNQ//vEPhYSEnPU2aJ+qqqoUERGh4uJiBQUFuXscoF3idYizsSxLx48fV3h4+DnXtfnYCQ0NlZeXl0pLS522l5WVyW63N3kbX19f+fr6Om3r0qVLS40IAwQFBfE/soCb8TpEU4KDg39xTZs/Qbljx46Ki4tTbm6u0/bc3FzFx8e7aSoAAOAp2vw7O5KUmpqqqVOnaujQoRo2bJhWr16toqIizZw5092jAQAANzMidu644w798MMPeuKJJ1RSUqLY2Fi9++67ioqKcvdoaON8fX31+OOPn/GxJ4DWw+sQF8tmWb/0fS0AAIC2q82fswMAAHAuxA4AADAasQMAAIxG7ADNcOedd2rcuHHuHgPwKJZl6T//8z/VrVs32Ww27d271y1zfPPNN259fHgeI76NBQBwv02bNmndunXavn27+vTpo9DQUHePBEgidgAALnL48GH17NmTH3SFx+FjLBhvxIgRmj17tlJSUtS1a1fZ7XatXr1a1dXVuuuuuxQYGKhLL71U7733niSpoaFB06dPV3R0tPz9/dWvXz89//zz53wMy7K0ZMkS9enTR/7+/ho8eLDefPPN1jg8wCPceeedmj17toqKimSz2dS7d+9ffF1s375dNptNmzdv1pAhQ+Tv76/rr79eZWVleu+999S/f38FBQVp4sSJqqmpcdxu06ZNGj58uLp06aKQkBCNHTtWhw8fPud8Bw8e1A033KDOnTvLbrdr6tSpKi8vb7HnA56F2EG7sH79eoWGhuqzzz7T7Nmzde+99+r2229XfHy89uzZo6SkJE2dOlU1NTVqbGxUr1699MYbb+jgwYN67LHHtGDBAr3xxhtnvf9HH31Ua9eu1apVq3TgwAHNmTNHU6ZM0Y4dO1rxKAH3ef755/XEE0+oV69eKikpUX5+/nm/LtLS0rRixQrl5eWpuLhYEyZMUGZmprKzs/XOO+8oNzdXWVlZjvXV1dVKTU1Vfn6+tm3bpg4dOuh3v/udGhsbm5ytpKRECQkJuuKKK7R7925t2rRJR48e1YQJE1r0OYEHOeffRAcMkJCQYA0fPtxx/aeffrI6depkTZ061bGtpKTEkmR98sknTd7HrFmzrFtvvdVxfdq0adYtt9xiWZZlnThxwvLz87Py8vKcbjN9+nRr4sSJLjwSwLMtX77cioqKsizr/F4XH3zwgSXJ2rp1q2N/RkaGJck6fPiwY9uMGTOspKSksz5uWVmZJcnat2+fZVmWdeTIEUuS9fnnn1uWZVmLFi2yEhMTnW5TXFxsSbK++uqrZh8v2g7O2UG7MGjQIMd/9vLyUkhIiAYOHOjYZrfbJUllZWWSpJdeekn/9V//pb///e+qra1VfX29rrjiiibv++DBgzp58qTGjBnjtL2+vl5Dhgxx8ZEAbcOFvC7+9fVpt9sVEBCgPn36OG377LPPHNcPHz6sRYsW6dNPP1V5ebnjHZ2ioiLFxsaeMUtBQYE++OADde7c+Yx9hw8fVt++fZt3kGgziB20Cz4+Pk7XbTab0zabzSZJamxs1BtvvKE5c+boueee07BhwxQYGKilS5dq165dTd736f+hfeedd3TJJZc47eNv+aC9upDXxc9fi029Xv/1I6qbbrpJERERWrNmjcLDw9XY2KjY2FjV19efdZabbrpJzz777Bn7evbseWEHhjaJ2AF+5qOPPlJ8fLxmzZrl2Haukx8HDBggX19fFRUVKSEhoTVGBDxeS70ufvjhBxUWFurll1/WtddeK0nauXPnOW9z5ZVX6o9//KN69+4tb2/+2WuP+G8d+JnLLrtM//M//6PNmzcrOjpar776qvLz8xUdHd3k+sDAQM2bN09z5sxRY2Ojhg8frqqqKuXl5alz586aNm1aKx8B4H4t9bro2rWrQkJCtHr1avXs2VNFRUV65JFHznmb++67T2vWrNHEiRP1+9//XqGhoTp06JBycnK0Zs0aeXl5NWsWtB3EDvAzM2fO1N69e3XHHXfIZrNp4sSJmjVrluOr6U158skn1aNHD2VkZOjrr79Wly5ddOWVV2rBggWtODngWVriddGhQwfl5OTogQceUGxsrPr166cXXnhBI0aMOOttwsPD9fHHH+vhhx9WUlKS6urqFBUVpd/+9rfq0IEvJbcHNsuyLHcPAQAA0FJIWgAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgC0WW+++aYGDhwof39/hYSEaPTo0aqurpYkrV27Vv3795efn59+9atfaeXKlY7b3X333Ro0aJDq6uokSadOnVJcXJwmT57sluMA0LKIHQBtUklJiSZOnKi7775bhYWF2r59u8aPHy/LsrRmzRotXLhQTz/9tAoLC5Wenq5FixZp/fr1kqQXXnhB1dXVeuSRRyRJixYtUnl5uVMQATAHf/UcQJu0Z88excXF6ZtvvlFUVJTTvsjISD377LOaOHGiY9tTTz2ld999V3l5eZKkTz75RAkJCXrkkUeUkZGhbdu26brrrmvVYwDQOogdAG1SQ0ODkpKS9NlnnykpKUmJiYm67bbb9NNPP6lHjx7y9/dXhw7//83rn376ScHBwTp69Khj24IFC5SRkaGHH35YzzzzjDsOA0Ar8Hb3AADQHF5eXsrNzVVeXp62bNmirKwsLVy4UH/+858lSWvWrNHVV199xm1Oa2xs1McffywvLy/97W9/a9XZAbQuztkB0GbZbDZdc801Wrx4sT7//HN17NhRH3/8sS655BJ9/fXXuuyyy5wu0dHRjtsuXbpUhYWF2rFjhzZv3qy1a9e68UgAtCTe2QHQJu3atUvbtm1TYmKievTooV27dunYsWPq37+/0tLS9MADDygoKEjJycmqq6vT7t27VVFRodTUVO3du1ePPfaY3nzzTV1zzTV6/vnn9eCDDyohIUF9+vRx96EBcDHO2QHQJhUWFmrOnDnas2ePqqqqFBUVpdmzZ+v++++XJGVnZ2vp0qU6ePCgOnXqpIEDByolJUXJycmKi4vT8OHD9fLLLzvub/z48Tp69Kg+/PBDp4+7ALR9xA4AADAa5+wAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAw2v8F4YGXkNIYyFUAAAAASUVORK5CYII=", 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\n", 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", 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", 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", 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", 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", 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SeriousDlqin2yrsRevolvingUtilizationOfUnsecuredLinesageNumberOfTime30-59DaysPastDueNotWorseDebtRatioMonthlyIncomeNumberOfOpenCreditLinesAndLoansNumberOfTimes90DaysLateNumberRealEstateLoansOrLinesNumberOfTime60-89DaysPastDueNotWorseNumberOfDependents
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" + ], + "text/plain": [ + " SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n", + "0 1 0.766127 45.0 \n", + "1 0 0.957151 40.0 \n", + "2 0 0.658180 38.0 \n", + "3 0 0.233810 30.0 \n", + "4 0 0.907239 49.0 \n", + "\n", + " NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n", + "0 2.0 0.802982 9120.0 \n", + "1 0.0 0.121876 2600.0 \n", + "2 1.0 0.085113 3042.0 \n", + "3 0.0 0.036050 3300.0 \n", + "4 1.0 0.024926 63588.0 \n", + "\n", + " NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n", + "0 13.0 0.0 \n", + "1 4.0 0.0 \n", + "2 2.0 1.0 \n", + "3 5.0 0.0 \n", + "4 7.0 0.0 \n", + "\n", + " NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n", + "0 6.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 \n", + "3 0.0 0.0 \n", + "4 1.0 0.0 \n", + "\n", + " NumberOfDependents \n", + "0 2.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 " + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "pd.set_option('display.max_columns', 500)\n", + "import zipfile\n", + "with zipfile.ZipFile('KaggleCredit2.csv.zip', 'r') as z:\n", + " f = z.open('KaggleCredit2.csv')\n", + " data = pd.read_csv(f, index_col=0)\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# 检查数据维度\n", + "data.shape\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SeriousDlqin2yrs 0\n", + "RevolvingUtilizationOfUnsecuredLines 0\n", + "age 4267\n", + "NumberOfTime30-59DaysPastDueNotWorse 0\n", + "DebtRatio 0\n", + "MonthlyIncome 0\n", + "NumberOfOpenCreditLinesAndLoans 0\n", + "NumberOfTimes90DaysLate 0\n", + "NumberRealEstateLoansOrLines 0\n", + "NumberOfTime60-89DaysPastDueNotWorse 0\n", + "NumberOfDependents 4267\n", + "dtype: int64" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 查看数据缺失值情况\n", + "data.isnull().sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# 清除缺失值\n", + "data.dropna(inplace=True)\n", + "data.shapey = data['SeriousDlqin2yrs']\n", + "X = data.drop('SeriousDlqin2yrs', axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.06742876076872101" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 取出对应的X和y\n", + "y = data['SeriousDlqin2yrs']\n", + "X = data.drop('SeriousDlqin2yrs', axis=1)\n", + "# 查看平均的欺诈率\n", + "y.mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 以下为操作题" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 1.把数据切分成训练集和测试集" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# 提示：查看train_test_split函数\n", + "from sklearn.model_selection import train_test_split\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SeriousDlqin2yrs\n", + "0 101322\n", + "1 7326\n", + "Name: count, dtype: int64\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 通过SeriousDlqin2yrs字段查看正负样本分布情况\n", + "# 提示：value_counts\n", + "df = pd.DataFrame(data)\n", + "\n", + "# 使用value_counts查看正负值的分布\n", + "label_counts = df['SeriousDlqin2yrs'].value_counts()\n", + "\n", + "# 打印结果\n", + "print(label_counts)\n", + "label_counts.plot(kind='bar', color=['green', 'red'])\n", + "# 绘制两种类别的柱状图\n", + "# 提示：dataframe可以直接plot(kind='bar')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 2.数据预处理之离散化" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n", + "0 1 0.766127 45.0 \n", + "1 0 0.957151 40.0 \n", + "2 0 0.658180 38.0 \n", + "3 0 0.233810 30.0 \n", + "4 0 0.907239 49.0 \n", + "... ... ... ... \n", + "112910 0 0.385742 50.0 \n", + "112911 0 0.040674 74.0 \n", + "112912 0 0.299745 44.0 \n", + "112913 0 0.000000 30.0 \n", + "112914 0 0.850283 64.0 \n", + "\n", + " NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n", + "0 2.0 0.802982 9120.0 \n", + "1 0.0 0.121876 2600.0 \n", + "2 1.0 0.085113 3042.0 \n", + "3 0.0 0.036050 3300.0 \n", + "4 1.0 0.024926 63588.0 \n", + "... ... ... ... \n", + "112910 0.0 0.404293 3400.0 \n", + "112911 0.0 0.225131 2100.0 \n", + "112912 0.0 0.716562 5584.0 \n", + "112913 0.0 0.000000 5716.0 \n", + "112914 0.0 0.249908 8158.0 \n", + "\n", + " NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n", + "0 13.0 0.0 \n", + "1 4.0 0.0 \n", + "2 2.0 1.0 \n", + "3 5.0 0.0 \n", + "4 7.0 0.0 \n", + "... ... ... \n", + "112910 7.0 0.0 \n", + "112911 4.0 0.0 \n", + "112912 4.0 0.0 \n", + "112913 4.0 0.0 \n", + "112914 8.0 0.0 \n", + "\n", + " NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n", + "0 6.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 \n", + "3 0.0 0.0 \n", + "4 1.0 0.0 \n", + "... ... ... \n", + "112910 0.0 0.0 \n", + "112911 1.0 0.0 \n", + "112912 1.0 0.0 \n", + "112913 0.0 0.0 \n", + "112914 2.0 0.0 \n", + "\n", + " NumberOfDependents \n", + "0 2.0 \n", + "1 1.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + "... ... \n", + "112910 0.0 \n", + "112911 0.0 \n", + "112912 2.0 \n", + "112913 0.0 \n", + "112914 0.0 \n", + "\n", + "[108648 rows x 11 columns]\n" + ] + } + ], + "source": [ + "# 请对年龄按照3岁一个区间进行离散化\n", + "# 提示：可以先计算出分桶边界，再基于pandas的cut函数进行离散化(分箱、分桶)\n", + "\n", + "bin_edges = list(range(20, 80, 3)) \n", + "df['age_group'] = pd.cut(df['age'], bins=bin_edges)\n", + "df = pd.DataFrame(data)\n", + "print(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 3.数据预处理之独热向量编码" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n", + "0 1 0.766127 45.0 \n", + "1 0 0.957151 40.0 \n", + "2 0 0.658180 38.0 \n", + "3 0 0.233810 30.0 \n", + "4 0 0.907239 49.0 \n", + "... ... ... ... \n", + "112910 0 0.385742 50.0 \n", + "112911 0 0.040674 74.0 \n", + "112912 0 0.299745 44.0 \n", + "112913 0 0.000000 30.0 \n", + "112914 0 0.850283 64.0 \n", + "\n", + " NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n", + "0 2.0 0.802982 9120.0 \n", + "1 0.0 0.121876 2600.0 \n", + "2 1.0 0.085113 3042.0 \n", + "3 0.0 0.036050 3300.0 \n", + "4 1.0 0.024926 63588.0 \n", + "... ... ... ... \n", + "112910 0.0 0.404293 3400.0 \n", + "112911 0.0 0.225131 2100.0 \n", + "112912 0.0 0.716562 5584.0 \n", + "112913 0.0 0.000000 5716.0 \n", + "112914 0.0 0.249908 8158.0 \n", + "\n", + " NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n", + "0 13.0 0.0 \n", + "1 4.0 0.0 \n", + "2 2.0 1.0 \n", + "3 5.0 0.0 \n", + "4 7.0 0.0 \n", + "... ... ... \n", + "112910 7.0 0.0 \n", + "112911 4.0 0.0 \n", + "112912 4.0 0.0 \n", + "112913 4.0 0.0 \n", + "112914 8.0 0.0 \n", + "\n", + " NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n", + "0 6.0 0.0 \n", + "1 0.0 0.0 \n", + "2 0.0 0.0 \n", + "3 0.0 0.0 \n", + "4 1.0 0.0 \n", + "... ... ... \n", + "112910 0.0 0.0 \n", + "112911 1.0 0.0 \n", + "112912 1.0 0.0 \n", + "112913 0.0 0.0 \n", + "112914 2.0 0.0 \n", + "\n", + " NumberOfDependents age_group age_(20, 23] age_(23, 26] \\\n", + "0 2.0 (44, 47] False False \n", + "1 1.0 (38, 41] False False \n", + "2 0.0 (35, 38] False False \n", + "3 0.0 (29, 32] False False \n", + "4 0.0 (47, 50] False False \n", + "... ... ... ... ... \n", + "112910 0.0 (47, 50] False False \n", + "112911 0.0 (71, 74] False False \n", + "112912 2.0 (41, 44] False False \n", + "112913 0.0 (29, 32] False False \n", + "112914 0.0 (62, 65] False False \n", + "\n", + " age_(26, 29] age_(29, 32] age_(32, 35] age_(35, 38] age_(38, 41] \\\n", + "0 False False False False False \n", + "1 False False False False True \n", + "2 False False False True False \n", + "3 False True False False False \n", + "4 False False False False False \n", + "... ... ... ... ... ... \n", + "112910 False False False False False \n", + "112911 False False False False False \n", + "112912 False False False False False \n", + "112913 False True False False False \n", + "112914 False False False False False \n", + "\n", + " age_(41, 44] age_(44, 47] age_(47, 50] age_(50, 53] age_(53, 56] \\\n", + "0 False True False False False \n", + "1 False False False False False \n", + "2 False False False False False \n", + "3 False False False False False \n", + "4 False False True False False \n", + "... ... ... ... ... ... \n", + "112910 False False True False False \n", + "112911 False False False False False \n", + "112912 True False False False False \n", + "112913 False False False False False \n", + "112914 False False False False False \n", + "\n", + " age_(56, 59] age_(59, 62] age_(62, 65] age_(65, 68] age_(68, 71] \\\n", + "0 False False False False False \n", + "1 False False False False False \n", + "2 False False False False False \n", + "3 False False False False False \n", + "4 False False False False False \n", + "... ... ... ... ... ... \n", + "112910 False False False False False \n", + "112911 False False False False False \n", + "112912 False False False False False \n", + "112913 False False False False False \n", + "112914 False False True False False \n", + "\n", + " age_(71, 74] age_(74, 77] \n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "112910 False False \n", + "112911 True False \n", + "112912 False False \n", + "112913 False False \n", + "112914 False False \n", + "\n", + "[108648 rows x 31 columns]\n" + ] + } + ], + "source": [ + "# 请对上述分箱后的年龄段进行独热向量编码\n", + "# 提示：使用pandas的get_dummies完成\n", + "df['age_group'] = pd.cut(df['age'], bins=bin_edges)\n", + "age_dummies = pd.get_dummies(df['age_group'], prefix='age')\n", + "df = pd.concat([df, age_dummies], axis=1)\n", + "print(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 4.数据预处理之幅度缩放" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0 1 2 3 4 5 6 \\\n", + "0 3.718934 -0.020107 -0.440122 0.459927 2.228325 0.144439 0.842602 \n", + "1 -0.268894 -0.019371 -0.786059 -0.107406 -0.827015 -0.292437 -0.912435 \n", + "2 -0.268894 -0.020522 -0.924434 0.176260 -0.991928 -0.262821 -1.302443 \n", + "3 -0.268894 -0.022156 -1.477933 -0.107406 -1.212020 -0.245533 -0.717431 \n", + "4 -0.268894 -0.019564 -0.163372 0.176260 -1.261921 3.794102 -0.327423 \n", + "... ... ... ... ... ... ... ... \n", + "108643 -0.268894 -0.021571 -0.094185 -0.107406 0.439864 -0.238833 -0.327423 \n", + "108644 -0.268894 -0.022899 1.566312 -0.107406 -0.363830 -0.325940 -0.912435 \n", + "108645 -0.268894 -0.021902 -0.509309 -0.107406 1.840658 -0.092492 -0.912435 \n", + "108646 -0.268894 -0.023056 -1.477933 -0.107406 -1.373734 -0.083648 -0.912435 \n", + "108647 -0.268894 -0.019783 0.874438 -0.107406 -0.252683 0.079980 -0.132419 \n", + "\n", + " 7 8 9 10 \n", + "0 -0.061113 4.625407 -0.054273 0.994689 \n", + "1 -0.061113 -0.942146 -0.054273 0.124769 \n", + "2 0.225146 -0.942146 -0.054273 -0.745150 \n", + "3 -0.061113 -0.942146 -0.054273 -0.745150 \n", + "4 -0.061113 -0.014220 -0.054273 -0.745150 \n", + "... ... ... ... ... \n", + "108643 -0.061113 -0.942146 -0.054273 -0.745150 \n", + "108644 -0.061113 -0.014220 -0.054273 -0.745150 \n", + "108645 -0.061113 -0.014220 -0.054273 0.994689 \n", + "108646 -0.061113 -0.942146 -0.054273 -0.745150 \n", + "108647 -0.061113 0.913705 -0.054273 -0.745150 \n", + "\n", + "[108648 rows x 11 columns]\n" + ] + } + ], + "source": [ + "# 请对连续值特征进行幅度缩放\n", + "# 提示：可以使用StandardScaler等幅度缩放器进行处理\n", + "from sklearn.preprocessing import StandardScaler\n", + "scaler = StandardScaler()\n", + "scaled_features = scaler.fit_transform(data)\n", + "\n", + "# 将缩放后的值重新放入数据框\n", + "data1= pd.DataFrame(scaled_features)\n", + "print(data1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 5.使用logistic regression建模，并且输出一下系数，分析重要度。 " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Intercept: [-2.857861]\n", + "Coefficients: [-0.01986624 -0.36793125 1.64542511 0.30597648 -0.0692487 -0.11631852\n", + " 1.50812368 -0.20482227 -2.99212814 0.11510275]\n", + "\n", + "Feature Importance:\n", + " Feature Coefficient\n", + "0 1 -0.019866\n", + "1 2 -0.367931\n", + "2 3 1.645425\n", + "3 4 0.305976\n", + "4 5 -0.069249\n", + "5 6 -0.116319\n", + "6 7 1.508124\n", + "7 8 -0.204822\n", + "8 9 -2.992128\n", + "9 10 0.115103\n", + "10 Intercept [-2.8578609991712987]\n" + ] + } + ], + "source": [ + "# 提示：fit建模，建完模之后可以取出coef属性\n", + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "y = data['SeriousDlqin2yrs']\n", + "X = data1.iloc[:, 1:]\n", + "#print(X)\n", + "#print(y)\n", + "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.2, random_state=42)\n", + "model = LogisticRegression()\n", + "model.fit(X_train, y_train)\n", + "coefficients = model.coef_[0]\n", + "intercept = model.intercept_\n", + "\n", + "# 打印系数\n", + "print(\"Intercept:\", intercept)\n", + "print(\"Coefficients:\", coefficients)\n", + "\n", + "# 分析重要度\n", + "feature_importance = pd.DataFrame({'Feature': X.columns, 'Coefficient': coefficients})\n", + "intercept_df = pd.DataFrame({'Feature': ['Intercept'], 'Coefficient': [intercept]})\n", + "feature_importance = pd.concat([feature_importance, intercept_df], ignore_index=True)\n", + "print(\"\\nFeature Importance:\")\n", + "print(feature_importance)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 6.使用网格搜索交叉验证进行调参\n", + "调整penalty和C参数，其中penalty候选为\"l1\"和\"l2\"，C的候选为[1,10,100,500]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Parameters: {'C': 1, 'penalty': 'l2'}\n", + "Accuracy on Test Set: 0.933087896916705\n" + ] + } + ], + "source": [ + "# 提示：先按照上面要求准备好网格字典，再使用GridSearchCV进行调参\n", + "from sklearn.model_selection import GridSearchCV\n", + "param_grid = {'penalty': ['l1', 'l2'], 'C': [1, 10, 100, 500]}\n", + "# 使用 GridSearchCV 进行网格搜索交叉验证\n", + "grid_search = GridSearchCV(model, param_grid, cv=5)\n", + "grid_search.fit(X_train, y_train)\n", + "\n", + "# 输出最优的参数组合\n", + "best_params = grid_search.best_params_\n", + "print(\"Best Parameters:\", best_params)\n", + "\n", + "# 输出最优的模型\n", + "best_model = grid_search.best_estimator_\n", + "accuracy = best_model.score(X_test, y_test)\n", + "print(\"Accuracy on Test Set:\", accuracy)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# 输出最好的超参数\n", + "# 输出最好的模型\n", + "#Best Parameters: {'C': 1, 'penalty': 'l2'}\n", + "#Accuracy on Test Set: 0.933087896916705\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 7.在测试集上进行预测，计算 查准率/查全率/auc/混淆矩阵/f1值 等测试指标" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy: 0.933087896916705\n", + "Recall: 0.0444743935309973\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20210 36]\n", + " [ 1418 66]]\n", + "F1 Score: 0.08322824716267338\n" + ] + } + ], + "source": [ + "# 提示：在测试集上预测可以使用predict\n", + "# 提示：各种指标可以在sklearn.metrics中查到各种评估指标，分别是accuracy_score、recall_score、auc、confusion_matrix、f1_score\n", + "from sklearn.metrics import accuracy_score, recall_score, roc_auc_score, confusion_matrix, f1_score\n", + "\n", + "y_pred = model.predict(X_test)\n", + "\n", + "# 计算各种测试指标\n", + "accuracy = accuracy_score(y_test, y_pred)\n", + "recall = recall_score(y_test, y_pred)\n", + "roc_auc = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])\n", + "conf_matrix = confusion_matrix(y_test, y_pred)\n", + "f1 = f1_score(y_test, y_pred)\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"Recall:\", recall)\n", + "print(\"AUC:\", roc_auc)\n", + "print(\"Confusion Matrix:\")\n", + "print(conf_matrix)\n", + "print(\"F1 Score:\", f1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 8.更多优化\n", + "银行通常会有更严格的要求，因为欺诈带来的后果通常比较严重，一般我们会调整模型的标准。 \n", + "\n", + "比如在logistic regression当中，一般我们的概率判定边界为0.5，但是我们可以把阈值设定低一些，来提高模型的“敏感度” \n", + "试试看把阈值设定为0.3，再看看这个时候的混淆矩阵等评估指标。" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Metrics with Threshold (0.1):\n", + "Accuracy: 0.8506212609295905\n", + "Recall: 0.43463611859838275\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[17839 2407]\n", + " [ 839 645]]\n", + "F1 Score: 0.28439153439153436\n", + "\n", + "Metrics with Threshold (0.2):\n", + "Accuracy: 0.9291762540266912\n", + "Recall: 0.18059299191374664\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[19923 323]\n", + " [ 1216 268]]\n", + "F1 Score: 0.25831325301204816\n", + "\n", + "Metrics with Threshold (0.3):\n", + "Accuracy: 0.9335480901978831\n", + "Recall: 0.10377358490566038\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20132 114]\n", + " [ 1330 154]]\n", + "F1 Score: 0.17579908675799089\n", + "\n", + "Metrics with Threshold (0.4):\n", + "Accuracy: 0.9338702254947078\n", + "Recall: 0.07142857142857142\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20187 59]\n", + " [ 1378 106]]\n", + "F1 Score: 0.12856276531231048\n", + "\n", + "Metrics with Threshold (0.5):\n", + "Accuracy: 0.933087896916705\n", + "Recall: 0.0444743935309973\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20210 36]\n", + " [ 1418 66]]\n", + "F1 Score: 0.08322824716267338\n", + "\n", + "Metrics with Threshold (0.6):\n", + "Accuracy: 0.9325356649792913\n", + "Recall: 0.03099730458221024\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20218 28]\n", + " [ 1438 46]]\n", + "F1 Score: 0.05905006418485237\n", + "\n", + "Metrics with Threshold (0.7):\n", + "Accuracy: 0.9319374137137598\n", + "Recall: 0.016846361185983826\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20226 20]\n", + " [ 1459 25]]\n", + "F1 Score: 0.032701111837802485\n", + "\n", + "Metrics with Threshold (0.8):\n", + "Accuracy: 0.9315692590888173\n", + "Recall: 0.0033692722371967657\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20238 8]\n", + " [ 1479 5]]\n", + "F1 Score: 0.006680026720106882\n", + "\n", + "Metrics with Threshold (0.9):\n", + "Accuracy: 0.9316612977450529\n", + "Recall: 0.0006738544474393531\n", + "AUC: 0.7093870394151931\n", + "Confusion Matrix:\n", + "[[20244 2]\n", + " [ 1483 1]]\n", + "F1 Score: 0.0013449899125756559\n" + ] + } + ], + "source": [ + "# 提示：thresholds = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]\n", + "# 根据predict_proba的结果和threshold的比较确定结果，再评估各种结果指标\n", + "model = LogisticRegression()\n", + "\n", + "# 训练模型\n", + "model.fit(X_train, y_train)\n", + "\n", + "# 获取不同阈值下的预测概率\n", + "thresholds = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n", + "for threshold in thresholds:\n", + " y_pred_threshold = (model.predict_proba(X_test)[:, 1] > threshold).astype(int)\n", + "\n", + " # 计算各种测试指标\n", + " accuracy = accuracy_score(y_test, y_pred_threshold)\n", + " recall = recall_score(y_test, y_pred_threshold)\n", + " roc_auc = roc_auc_score(y_test, model.predict_proba(X_test)[:, 1])\n", + " conf_matrix = confusion_matrix(y_test, y_pred_threshold)\n", + " f1 = f1_score(y_test, y_pred_threshold)\n", + "\n", + " # 打印结果\n", + " print(f\"\\nMetrics with Threshold ({threshold}):\")\n", + " print(\"Accuracy:\", accuracy)\n", + " print(\"Recall:\", recall)\n", + " print(\"AUC:\", roc_auc)\n", + " print(\"Confusion Matrix:\")\n", + " print(conf_matrix)\n", + " print(\"F1 Score:\", f1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 9.尝试对不同特征的重要度进行排序，通过特征选择的方式，对特征进行筛选。并重新建模，观察此时的模型准确率等评估指标。" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Feature Importance:\n", + "[0.01986624 0.36793125 1.64542511 0.30597648 0.0692487 0.11631852\n", + " 1.50812368 0.20482227 2.99212814 0.11510275]\n", + "\n", + "Metrics with Feature Selection:\n", + "Accuracy: 0.9332719742291763\n" + ] + } + ], + "source": [ + "# 可以根据逻辑回归的系数绝对值大小进行排序，也可以基于树模型的特征重要度进行排序\n", + "# 特征选择可以使用RFE或者selectFromModel\n", + "model = LogisticRegression()\n", + "from sklearn.feature_selection import SelectFromModel\n", + "# 训练模型\n", + "model.fit(X_train, y_train)\n", + "\n", + "# 获取特征的重要度（系数的绝对值）\n", + "feature_importance = abs(model.coef_[0])\n", + "\n", + "# 打印各个特征的重要度\n", + "print(\"Feature Importance:\")\n", + "print(feature_importance)\n", + "\n", + "# 使用SelectFromModel进行特征选择\n", + "sfm = SelectFromModel(model, threshold=0.2) # 选择重要度大于阈值的特征\n", + "sfm.fit(X_train, y_train)\n", + "\n", + "# 获取选择后的特征\n", + "X_train_selected = sfm.transform(X_train)\n", + "X_test_selected = sfm.transform(X_test)\n", + "\n", + "# 重新训练模型\n", + "model_selected = LogisticRegression()\n", + "model_selected.fit(X_train_selected, y_train)\n", + "\n", + "# 在测试集上进行预测\n", + "y_pred_selected = model_selected.predict(X_test_selected)\n", + "\n", + "# 计算准确率等评估指标\n", + "accuracy_selected = accuracy_score(y_test, y_pred_selected)\n", + "\n", + "# 打印结果\n", + "print(\"\\nMetrics with Feature Selection:\")\n", + "print(\"Accuracy:\", accuracy_selected)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### 10.其他模型算法尝试\n", + "使用RandomForestClassifier/SVM/KNN等sklearn分类算法进行分类，尝试上述超参数调优算法过程。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "jupyter": { + "outputs_hidden": true + } + }, + "outputs": [], + "source": [ + "# 随机森林\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "# 支持向量机\n", + "from sklearn.svm import SVC\n", + "# K最近邻\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "\n", + "rf_model = RandomForestClassifier()\n", + "rf_param_grid = {'n_estimators': [50, 100, 200],\n", + " 'max_depth': [None, 10, 20],\n", + " 'min_samples_split': [2, 5, 10],\n", + " 'min_samples_leaf': [1, 2, 4]}\n", + "\n", + "# 使用 GridSearchCV 进行网格搜索交叉验证\n", + "rf_grid_search = GridSearchCV(rf_model, rf_param_grid, cv=5)\n", + "rf_grid_search.fit(X_train, y_train)\n", + "\n", + "rf_best_params = rf_grid_search.best_params_\n", + "print(\"Random Forest Best Parameters:\", rf_best_params)\n", + "rf_best_model = rf_grid_search.best_estimator_\n", + "\n", + "rf_accuracy = accuracy_score(y_test, rf_best_model.predict(X_test))\n", + "print(\"Random Forest Accuracy on Test Set:\", rf_accuracy)\n", + "\n", + "svm_model = SVC()\n", + "svm_param_grid = {'C': [0.1, 1, 10, 100],\n", + " 'kernel': ['linear', 'rbf', 'poly'],\n", + " 'gamma': ['scale', 'auto']}\n", + "\n", + "# 使用 GridSearchCV 进行网格搜索交叉验证\n", + "svm_grid_search = GridSearchCV(svm_model, svm_param_grid, cv=5)\n", + "svm_grid_search.fit(X_train, y_train)\n", + "\n", + "svm_best_params = svm_grid_search.best_params_\n", + "print(\"\\nSVM Best Parameters:\", svm_best_params)\n", + "\n", + "svm_best_model = svm_grid_search.best_estimator_\n", + "\n", + "svm_accuracy = accuracy_score(y_test, svm_best_model.predict(X_test))\n", + "print(\"SVM Accuracy on Test Set:\", svm_accuracy)\n", + "\n", + "\n", + "\n", + "knn_model = KNeighborsClassifier()\n", + "knn_param_grid = {'n_neighbors': [3, 5, 7],\n", + " 'weights': ['uniform', 'distance'],\n", + " 'p': [1, 2]}\n", + "\n", + "knn_grid_search = GridSearchCV(knn_model, knn_param_grid, cv=5)\n", + "knn_grid_search.fit(X_train, y_train)\n", + "knn_best_params = knn_grid_search.best_params_\n", + "print(\"\\nKNN Best Parameters:\", knn_best_params)\n", + "knn_best_model = knn_grid_search.best_estimator_\n", + "knn_accuracy = accuracy_score(y_test, knn_best_model.predict(X_test))\n", + "print(\"KNN Accuracy on Test Set:\", knn_accuracy)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "taiji", + "language": "python", + "name": "taiji" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + 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