diff --git a/AIandML/e1_python_basics/README.txt b/AIandML/e1_python_basics/README.txt new file mode 100644 index 0000000..229919a --- /dev/null +++ b/AIandML/e1_python_basics/README.txt @@ -0,0 +1 @@ +请在命令行下进入本目录，然后输入jpyter notebook，以进行实验。 \ No newline at end of file diff --git a/AIandML/e1_python_basics/e1.0_python.ipynb b/AIandML/e1_python_basics/e1.0_python.ipynb new file mode 100644 index 0000000..969473c --- /dev/null +++ b/AIandML/e1_python_basics/e1.0_python.ipynb @@ -0,0 +1,440 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 人工智能与机器学习-实验1\n", + "\n", + "## Part.I Python语言练习\n", + "\n", + "|学号 |姓名 |\n", + "|----------|--------|\n", + "|***REMOVED***|***REMOVED***|" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. 名人名言\n", + "\n", + "找一句你钦佩的名人说的名言，将名人的姓名存储在变量`famous_person`中，再将他说的名言存储在变量`message`中，然后如下显示出该名人说了该名言（包括引号）：\n", + "\n", + "`xxx once said, \"......\"`" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Linus Torvalds once said,\n" + ] + } + ], + "source": [ + "famous_person=\"Linus Torvalds\"\n", + "message=\"So nvidia, fuck you.\"\n", + "nHex = 0xFF\n", + "print(\"%s once said, \\\"%s\\\" %(famous_person, message))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. 朋友\n", + "\n", + "将一些朋友的姓名存储在一个列表中，并将其命名为`names`。\n", + "\n", + "1. 依次显示出列表中所有朋友的姓名；\n", + "\n", + "2. 使用`sort()`将列表中的姓名按字典顺序排序后，再显示出排好序的所有朋友的命名；\n", + "\n", + "3. 将`\"Albert Einstein\"`添加到你的朋友姓名列表中；\n", + "\n", + "4. 显示列表的长度；" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Linus Torvalds', 'Richard Stallman', 'Greg Kroah-Hartman']\n", + "['Greg Kroah-Hartman', 'Linus Torvalds', 'Richard Stallman']\n", + "['Greg Kroah-Hartman', 'Linus Torvalds', 'Richard Stallman', 'Albert Einstein']\n" + ] + } + ], + "source": [ + "names=[\"Linus Torvalds\", \"Richard Stallman\", \"Greg Kroah-Hartman\"]\n", + "print(names)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "names.sort()\n", + "print(names)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "names.append(\"Albert Einstein\")\n", + "print(names)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4\n" + ] + } + ], + "source": [ + "print(len(names))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. 3的倍数\n", + "\n", + "创建一个列表，其中包含3~30内能被3 整除的数字；再使用一个`for`循环将这个列表中的数字都打印出来。" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3 6 9 12 15 18 21 24 27 " + ] + } + ], + "source": [ + "list=[]\n", + "for i in range(3,30):\n", + " if i%3==0:\n", + " list.append(i)\n", + "for i in list:\n", + " print(i,end=\" \")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. 登录信息\n", + "\n", + "创建一个至少包含5 个用户名的列表，且其中一个用户名为`'admin'`。想象你要编写代码，在每位用户登录网站后都打印一条问候消息。遍历用户名列表，并向每位用户打印一条问候消息。如果用户名为`'admin'`，就打印一条特殊的问候消息，如`“Hello admin, would you like to see a status report?”`。否则，打印一条普通的问候消息，如`“Hello Eric, thank you for logging in again”`。" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hello admin, would you like to see a status report?\n", + "Hello user1, thank you for logging in again.\n", + "Hello user2, thank you for logging in again.\n", + "Hello user3, thank you for logging in again.\n", + "Hello user4, thank you for logging in again.\n" + ] + } + ], + "source": [ + "user=[\"admin\", \"user1\", \"user2\", \"user3\", \"user4\"]\n", + "for i in user: \n", + " if i==\"admin\":\n", + " print(\"Hello admin, would you like to see a status report?\")\n", + " else:\n", + " print(\"Hello %s, thank you for logging in again.\" %i)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5. 升序降序\n", + "\n", + "给你一个整数组成的列表`L`，按照下列条件输出：\n", + "* 若`L`是升序排列的,则输出\"UP\";\n", + "* 若`L`是降序排列的,则输出\"DOWN\";\n", + "* 若`L`无序，则输出\"WRONG\"。" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "UP\n", + "DOWN\n", + "WRONG\n" + ] + } + ], + "source": [ + "up=[1,5,7,9,10]\n", + "down=[11,9,7,5,3]\n", + "wrong=[2,4,6,8,5]\n", + "\n", + "def order(list:list)->str:\n", + " if list==sorted(list):\n", + " return \"UP\"\n", + " elif list==sorted(list, reverse=True):\n", + " return \"DOWN\"\n", + " else:\n", + " return \"WRONG\"\n", + "\n", + "print(order(up))\n", + "print(order(down))\n", + "print(order(wrong))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6. IP地址\n", + "\n", + "互联网上的每台计算机都有一个IP，合法的IP格式为：`A.B.C.D`。其中`A`、`B`、`C`、`D`均为[0, 255]中的整数。为了简单起见，我们规定这四个整数中不允许有前导零存在，如001。\n", + "\n", + "现在给你一个字符串`s`（`s`不含空白符），请你判断`s`是不是合法IP，若是，输出`Yes`，否则输出`No`。如：s=“202.115.32.24”，则输出Yes；s=“a.11.11.11”, 则输出No。" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Yes; s=\"202.115.32.24\"\n", + "No\n", + "No\n" + ] + } + ], + "source": [ + "def isIP(s:str)->bool:\n", + " if len(s.split(\".\"))==4:\n", + " for i in s.split(\".\"):\n", + " if i.isdigit() and 0<=int(i)<=255:\n", + " if(int(i)!=0 and i[0]==\"0\"):\n", + " return False\n", + " continue\n", + " else:\n", + " return False\n", + " return True\n", + " else:\n", + " return False\n", + "\n", + "s=[\"202.115.32.24\",\"002.115.32.24\",\"256.115.32.24\"]\n", + "for i in s:\n", + " if(isIP(i)):\n", + " print(\"Yes; s=\\\"%s\\\"\" %i)\n", + " else:\n", + " print(\"No\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7. 三明治\n", + "\n", + "创建一个名为`sandwich_orders`的列表，在其中包含各种三明治的名字；\n", + "\n", + "再创建一个名为`finished_sandwiches`的空列表。\n", + "\n", + "遍历列表`sandwich_orders`，对于其中的每种三明治，都打印一条消息，如I made your tuna sandwich，并将其移到列表`finished_sandwiches`。\n", + "\n", + "所有三明治都制作好后，打印一条消息，将这些三明治列出来。" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "I made your chicken sandwich.\n", + "I made your beef sandwich.\n", + "I made your tuna sandwich.\n", + "All sandwiches are made.\n", + "sandwich_orders: []\n", + "finished_sandwiches: ['chicken', 'beef', 'tuna']\n" + ] + } + ], + "source": [ + "sandwich_orders=[\"tuna\", \"beef\", \"chicken\"]\n", + "finished_sandwiches=[]\n", + "while sandwich_orders:\n", + " buf = sandwich_orders.pop()\n", + " print(\"I made your %s sandwich.\" %buf)\n", + " finished_sandwiches.append(buf)\n", + "print(\"All sandwiches are made.\")\n", + "print(\"sandwich_orders: %s\" %sandwich_orders)\n", + "print(\"finished_sandwiches: %s\" %finished_sandwiches)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 8. 城市\n", + "\n", + "创建一个名为`cities`的字典，其中将三个城市名用作键；对于每座城市，都创建一个字典，并在其中包含该城市所属的国家、人口约数以及一个有关该城市的事实。在表示每座城市的字典中，应包含`country`、`population`和`fact`等键。将每座城市的名字以及有关它们的信息都打印出来。" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "City: Beijing\n", + "country: China\n", + "population: 21500000\n", + "fact: Capital of China\n", + "City: Tokyo\n", + "country: Japan\n", + "population: 13500000\n", + "fact: Capital of Japan\n" + ] + } + ], + "source": [ + "cities={\"Beijing\":{\"country\":\"China\", \"population\":21500000, \"fact\":\"Capital of China\"}, \\\n", + " \"Tokyo\":{\"country\":\"Japan\", \"population\":13500000, \"fact\":\"Capital of Japan\"}}\n", + "for city, info in cities.items():\n", + " print(\"City: %s\" %city)\n", + " for k, v in info.items():\n", + " print(\"%s: %s\" %(k, v))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 9. 时间\n", + "\n", + "给你一个时间`t`，`t`是一个字典，共有六个字符串键`(year, month, day, hour, minute, second)`，每个值为数字组成的字符串，如`t = {‘year’:‘2013’, ‘month’:‘9’, ‘day’:‘30’, ‘hour’:‘16’, ‘minute’:‘45’, ‘second’:‘2‘}`。\n", + "\n", + "请将其按照以下格式输出：`XXXX-XX-XX XX:XX:XX`。如上例应该输出：`2013-09-30 16:45:02`。" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2013-09-30 16:45:02\n" + ] + } + ], + "source": [ + "t = {\"year\":\"2013\", \"month\":\"9\", \"day\":\"30\", \"hour\":\"16\", \"minute\":\"45\", \"second\":\"2\"}\n", + "print(\"%s-%02d-%02d %02d:%02d:%02d\" %(t[\"year\"], int(t[\"month\"]), int(t[\"day\"]), int(t[\"hour\"]), int(t[\"minute\"]), int(t[\"second\"])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 10. 最喜欢的书\n", + "\n", + "编写一个名为`favorite_book()`的函数，其中包含一个名为`title`的形参。这个函数打印一条消息，如One of my favorite books is Alice in Wonderland。调用这个函数，并将一本图书的名称作为实参传递给它。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def favorite_book(title:str)->None:\n", + " print(\"One of my favorite books is %s.\" %title)\n", + "\n", + "favorite_book(\"Alice in Wonderland\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.4 ('main')", + "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": "3.10.4" + }, + "vscode": { + "interpreter": { + "hash": "cdd56286faa2ee04874a677dc80784b0c94990d70e3798725c60e428b9bb159e" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/AIandML/e1_python_basics/e1.1_numpy.ipynb b/AIandML/e1_python_basics/e1.1_numpy.ipynb new file mode 100644 index 0000000..0a92bcd --- /dev/null +++ b/AIandML/e1_python_basics/e1.1_numpy.ipynb @@ -0,0 +1,123 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 人工智能与机器学习-实验1\n", + "\n", + "## Part.II Numpy练习\n", + "\n", + "|学号 |姓名 |\n", + "|----------|--------|\n", + "| | |" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. 数组\n", + "\n", + "创建一个长度为10全为0的一维数组，然后让第5个元素等于1。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. 向量内积\n", + "\n", + "随机生成2个长度为$10^6$的向量，分别用numpy函数和for循环计算其内积。并比较耗时情况。" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. 矩阵乘法\n", + "\n", + "生成一个$4\\times5$和一个$5\\times4$的矩阵，并计算它们的乘积。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. 函数\n", + "\n", + "函数$f$定义如下，其中$x$是任意实数:\n", + "$$\n", + "f(x)=\\frac{\\sin⁡(x+1)(x+1)}{2e^x}\n", + "$$，\n", + "\n", + "生成一个数组$a\\in \\mathbb{R}^5$，计算$b = f(a)$。" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5. 平均值\n", + "\n", + "随机生成一个5行10列的矩阵，然后每行元素减去该行的平均值" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/AIandML/e1_python_basics/e1.2_matplotlib.ipynb b/AIandML/e1_python_basics/e1.2_matplotlib.ipynb new file mode 100644 index 0000000..ba7c21b --- /dev/null +++ b/AIandML/e1_python_basics/e1.2_matplotlib.ipynb @@ -0,0 +1,77 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 人工智能与机器学习-实验1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Part.III Matplotlib绘图练习\n", + "\n", + "|学号 |姓名 |\n", + "|----------|--------|\n", + "| | |" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. 曲线\n", + "\n", + "* 用蓝线绘制函数$𝑓(𝑥) = 𝑥^2−2𝑥+3$的图表，并在坐标(1,2)位置处标上一个红色的点\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. x-y图\n", + "\n", + "* 使用`np.linspace()`函数生成$t\\in [0, 2\\pi]$。\n", + "* 给定$𝑥=16*sin⁡(𝑡)^3$和$𝑦=13*cos⁡(𝑡)−5*cos⁡(2𝑡)−2*cos⁡(3𝑡)−cos⁡(4𝑡)$，画出x-y图表，\n", + "* 并给图标添加一个题目：Heart" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/AIandML/e1_python_basics/e1.3_pandas.ipynb b/AIandML/e1_python_basics/e1.3_pandas.ipynb new file mode 100644 index 0000000..5bb0eb7 --- /dev/null +++ b/AIandML/e1_python_basics/e1.3_pandas.ipynb @@ -0,0 +1,543 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 人工智能与机器学习-实验1\n", + "## Part IV. Pandas库的使用\n", + "\n", + "|学号 |姓名 |\n", + "|----------|--------|\n", + "| | |\n", + "\n", + "本部分的实验，需要自己在网络学习相关基础函数使用。" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 1: 导入可能需要的库" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 2: 读取数据集" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "titanic = pd.read_csv('titanic.csv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step3: 显示数据集的前5行和后5行" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 4: 该数据集有多少行和列？" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 5: 将PassengerID设置为索引" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked
PassengerId
103Braund, Mr. Owen Harrismale22.010A/5 211717.2500NaNS
211Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
313Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250NaNS
411Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
503Allen, Mr. William Henrymale35.0003734508.0500NaNS
....................................
88702Montvila, Rev. Juozasmale27.00021153613.0000NaNS
88811Graham, Miss. Margaret Edithfemale19.00011205330.0000B42S
88903Johnston, Miss. Catherine Helen \"Carrie\"femaleNaN12W./C. 660723.4500NaNS
89011Behr, Mr. Karl Howellmale26.00011136930.0000C148C
89103Dooley, Mr. Patrickmale32.0003703767.7500NaNQ
\n", + "

891 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " Survived Pclass \\\n", + "PassengerId \n", + "1 0 3 \n", + "2 1 1 \n", + "3 1 3 \n", + "4 1 1 \n", + "5 0 3 \n", + "... ... ... \n", + "887 0 2 \n", + "888 1 1 \n", + "889 0 3 \n", + "890 1 1 \n", + "891 0 3 \n", + "\n", + " Name Sex Age \\\n", + "PassengerId \n", + "1 Braund, Mr. Owen Harris male 22.0 \n", + "2 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 \n", + "3 Heikkinen, Miss. Laina female 26.0 \n", + "4 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 \n", + "5 Allen, Mr. William Henry male 35.0 \n", + "... ... ... ... \n", + "887 Montvila, Rev. Juozas male 27.0 \n", + "888 Graham, Miss. Margaret Edith female 19.0 \n", + "889 Johnston, Miss. Catherine Helen \"Carrie\" female NaN \n", + "890 Behr, Mr. Karl Howell male 26.0 \n", + "891 Dooley, Mr. Patrick male 32.0 \n", + "\n", + " SibSp Parch Ticket Fare Cabin Embarked \n", + "PassengerId \n", + "1 1 0 A/5 21171 7.2500 NaN S \n", + "2 1 0 PC 17599 71.2833 C85 C \n", + "3 0 0 STON/O2. 3101282 7.9250 NaN S \n", + "4 1 0 113803 53.1000 C123 S \n", + "5 0 0 373450 8.0500 NaN S \n", + "... ... ... ... ... ... ... \n", + "887 0 0 211536 13.0000 NaN S \n", + "888 0 0 112053 30.0000 B42 S \n", + "889 1 2 W./C. 6607 23.4500 NaN S \n", + "890 0 0 111369 30.0000 C148 C \n", + "891 0 0 370376 7.7500 NaN Q \n", + "\n", + "[891 rows x 11 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic.set_index('PassengerId')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 6：数据中有缺失值吗？" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 7: 乘客的最大年龄和最小年龄是多少？" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 8: 有多少人生还？" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 9: 男性和女性的生还比例分别是多少？" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 10: 按照船票价格降序排列" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 11: 绘制一个展示船票价格的直方图" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 12: 绘制乘客年龄与船票价格的散点图" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# 请填写相应代码\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/AIandML/e1_python_basics/titanic.csv b/AIandML/e1_python_basics/titanic.csv new file mode 100644 index 0000000..5cc466e --- /dev/null +++ b/AIandML/e1_python_basics/titanic.csv @@ -0,0 +1,892 @@ +PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked +1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S +2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C +3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S +4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S +5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S +6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q +7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S +8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S +9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S +10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C +11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S +12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S +13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S +14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S +15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S +16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S +17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q +18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S +19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S +20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C +21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S +22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S +23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q +24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S +25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S +26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S +27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C +28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S +29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q +30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S +31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C +32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C +33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q +34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S +35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C +36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S +37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C +38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S +39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S +40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C +41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S +42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S +43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C +44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C +45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q +46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S +47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q +48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q +49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C +50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S +51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S +52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S +53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C +54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S +55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C +56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S +57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S +58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C +59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S +60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S +61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C +62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28, +63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S +64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S +65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C +66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C +67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S +68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S +69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S +70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S +71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S +72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S +73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S +74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C +75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S +76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S +77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S +78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S +79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S +80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S +81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S +82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S +83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q +84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S +85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S +86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S +87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S +88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S +89,1,1,"Fortune, Miss. 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