6. 将marital中divorced、married、single进行one-hot编码(新增3列0/1，marital_divorced、marital_married、 marital_single)

好的，根据您的要求，我们可以将marital中divorced、married、single进行one-hot编码，生成3列新的0/1变量：marital_divorced、marital_married、marital_single。下面是示例代码：

import pandas as pd
from sklearn.preprocessing import OneHotEncoder

# 读取数据
df = pd.read_csv('data.csv')

# 进行one-hot编码
enc = OneHotEncoder()
marital_encoded = enc.fit_transform(df[['marital']]).toarray()

# 将编码结果添加到原数据集中
df_encoded = pd.concat([df, pd.DataFrame(marital_encoded, columns=['marital_divorced', 'marital_married', 'marital_single'])], axis=1)

# 输出结果
print(df_encoded.head())

这段代码使用了sklearn库中的OneHotEncoder函数进行编码，并将编码结果添加到原数据集中。您可以根据实际情况进行调整和修改。

相关问题

请用R语言创建数据集 年龄 工作 FNLWGT 教育 教育数字 婚姻状况 职业 关系 种族 性别 资本收益 资本损失 每周小时数 原产国 income 39 State-gov 77516 Bachelors 13 Never-married Adm-clerical Not-in-family White Male 2174 0 40 United-States <=50K 50 Self-emp-not-inc 83311 Bachelors 13 Married-civ-spouse Exec-managerial Husband White Male 0 0 13 United-States <=50K 38 Private 215646 HS-grad 9 Divorced Handlers-cleaners Not-in-family White Male 0 0 40 United-States <=50K 53 Private 234721 11th 7 Married-civ-spouse Handlers-cleaners Husband Black Male 0 0 40 United-States <=50K 28 Private 338409 Bachelors 13 Married-civ-spouse Prof-specialty Wife Black Female 0 0 40 Cuba <=50K 37 Private 284582 Masters 14 Married-civ-spouse Exec-managerial Wife White Female 0 0 40 United-States <=50K 49 Private 160187 9th 5 Married-spouse-absent Other-service Not-in-family Black Female 0 0 16 Jamaica <=50K 52 Self-emp-not-inc 209642 HS-grad 9 Married-civ-spouse Exec-managerial Husband White Male 0 0 45 United-States >50K 31 Private 45781 Masters 14 Never-married Prof-specialty Not-in-family White Female 14084 0 50 United-States >50K 42 Private 159449 Bachelors 13 Married-civ-spouse Exec-managerial Husband White Male 5178 0 40 United-States >50K

可以使用以下代码创建该数据集：

# 创建数据框
data <- data.frame(
  age = c(39, 50, 38, 53, 28, 37, 49, 52, 31, 42),
  workclass = c("State-gov", "Self-emp-not-inc", "Private", "Private", "Private", "Private", "Private", "Self-emp-not-inc", "Private", "Private"),
  fnlwgt = c(77516, 83311, 215646, 234721, 338409, 284582, 160187, 209642, 45781, 159449),
  education = c("Bachelors", "Bachelors", "HS-grad", "11th", "Bachelors", "Masters", "9th", "HS-grad", "Masters", "Bachelors"),
  education_num = c(13, 13, 9, 7, 13, 14, 5, 9, 14, 13),
  marital_status = c("Never-married", "Married-civ-spouse", "Divorced", "Married-civ-spouse", "Married-civ-spouse", "Married-civ-spouse", "Married-spouse-absent", "Married-civ-spouse", "Never-married", "Married-civ-spouse"),
  occupation = c("Adm-clerical", "Exec-managerial", "Handlers-cleaners", "Handlers-cleaners", "Prof-specialty", "Exec-managerial", "Other-service", "Exec-managerial", "Prof-specialty", "Exec-managerial"),
  relationship = c("Not-in-family", "Husband", "Not-in-family", "Husband", "Wife", "Wife", "Not-in-family", "Husband", "Not-in-family", "Husband"),
  race = c("White", "White", "White", "Black", "Black", "White", "Black", "White", "White", "White"),
  sex = c("Male", "Male", "Male", "Male", "Female", "Female", "Female", "Male", "Female", "Male"),
  capital_gain = c(2174, 0, 0, 0, 0, 0, 0, 0, 14084, 5178),
  capital_loss = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
  hours_per_week = c(40, 13, 40, 40, 40, 40, 16, 45, 50, 40),
  native_country = c("United-States", "United-States", "United-States", "United-States", "Cuba", "United-States", "Jamaica", "United-States", "United-States", "United-States"),
  income = c("<=50K", "<=50K", "<=50K", "<=50K", "<=50K", "<=50K", "<=50K", ">50K", ">50K", ">50K")
)

# 打印数据框
print(data)

请注意，此代码创建了一个名为data的数据框，其中包含了您提供的所有列。

提供一个Maven项目中，基于html，servlet，service，dao层之间进行数据回显并分页的功能，查询数据如下： 性别（gender） 地址（area） 年龄区间（age1，age2） 行业职位（occupation） 婚姻状况（marital_status） 提供servlet层（query），service层（实现queryserviceimpl接口），dao层（实现querydaoimpl接口）的完整代码

以下是一个基于html，servlet，service，dao层之间进行数据回显并分页的功能的Maven项目，其中包含性别、地址、年龄区间、行业职位、婚姻状况等查询条件，具体实现可以参考以下代码：

1. 创建一个 Maven 项目，并添加依赖：

<dependencies>
   <!-- JSP/Servlet API -->
   <dependency>
      <groupId>javax.servlet.jsp</groupId>
      <artifactId>jsp-api</artifactId>
      <version>2.1</version>
   </dependency>
   <dependency>
      <groupId>javax.servlet</groupId>
      <artifactId>servlet-api</artifactId>
      <version>2.5</version>
   </dependency>
   <!-- JSTL -->
   <dependency>
      <groupId>jstl</groupId>
      <artifactId>jstl</artifactId>
      <version>1.2</version>
   </dependency>
   <!-- JDBC -->
   <dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <version>8.0.12</version>
   </dependency>
</dependencies>

2. 创建一个 HTML 页面，包含查询条件和数据回显功能：

<!DOCTYPE html>
<html>
   <head>
      <meta charset="UTF-8">
      <title>Query Page</title>
   </head>
   <body>
      <form action="query" method="post">
         <label for="gender">Gender:</label>
         <select id="gender" name="gender">
            <option value="">-- Please Select --</option>
            <option value="Male">Male</option>
            <option value="Female">Female</option>
         </select>
         <br/><br/>
         <label for="area">Area:</label>
         <input type="text" id="area" name="area"/>
         <br/><br/>
         <label for="age1">Age Range:</label>
         <input type="number" id="age1" name="age1"/> - <input type="number" id="age2" name="age2"/>
         <br/><br/>
         <label for="occupation">Occupation:</label>
         <input type="text" id="occupation" name="occupation"/>
         <br/><br/>
         <label for="marital_status">Marital Status:</label>
         <select id="marital_status" name="marital_status">
            <option value="">-- Please Select --</option>
            <option value="Single">Single</option>
            <option value="Married">Married</option>
            <option value="Divorced">Divorced</option>
         </select>
         <br/><br/>
         <input type="submit" value="Submit"/>
      </form>
      <br/><br/>
      <table border="1">
         <thead>
            <tr>
               <th>ID</th>
               <th>Name</th>
               <th>Gender</th>
               <th>Age</th>
               <th>Area</th>
               <th>Occupation</th>
               <th>Marital Status</th>
            </tr>
         </thead>
         <tbody>
            <c:forEach items="${users}" var="user">
               <tr>
                  <td>${user.id}</td>
                  <td>${user.name}</td>
                  <td>${user.gender}</td>
                  <td>${user.age}</td>
                  <td>${user.area}</td>
                  <td>${user.occupation}</td>
                  <td>${user.maritalStatus}</td>
               </tr>
            </c:forEach>
         </tbody>
      </table>
      <br/><br/>
      <c:if test="${currentPage > 1}">
         <a href="query?page=${currentPage - 1}&keyword=${keyword}">Previous Page</a>
      </c:if>
      &nbsp;&nbsp;&nbsp;&nbsp;
      <c:if test="${currentPage < totalPages}">
         <a href="query?page=${currentPage + 1}&keyword=${keyword}">Next Page</a>
      </c:if>
   </body>
</html>

在上述 HTML 页面中，我们使用了 JSP 标签库（JSTL）来进行数据回显和分页功能的实现。其中，`${users}` 对应的是从 Servlet 中传递过来的用户数据列表；`${currentPage}` 和 `${totalPages}` 分别是当前页码和总页数。

3. 创建一个 Servlet 类，接收查询条件并调用 Service 和 DAO 层进行数据查询：

@WebServlet("/query")
public class QueryServlet extends HttpServlet {
   private static final long serialVersionUID = 1L;
   private QueryService queryService = new QueryServiceImpl();
   private static final int PAGE_SIZE = 10;

   protected void doPost(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {
      String gender = request.getParameter("gender");
      String area = request.getParameter("area");
      int age1 = Integer.parseInt(request.getParameter("age1"));
      int age2 = Integer.parseInt(request.getParameter("age2"));
      String occupation = request.getParameter("occupation");
      String maritalStatus = request.getParameter("marital_status");
      int page = Integer.parseInt(request.getParameter("page"));
      List<User> users = queryService.query(gender, area, age1, age2, occupation, maritalStatus, page, PAGE_SIZE);
      request.setAttribute("users", users);
      request.setAttribute("currentPage", page);
      request.setAttribute("totalPages", queryService.getTotalPages(gender, area, age1, age2, occupation, maritalStatus, PAGE_SIZE));
      request.getRequestDispatcher("query.jsp").forward(request, response);
   }
}

在上述 Servlet 类中，我们获取了来自 HTML 页面的查询条件，并通过 Service 层调用 DAO 层进行数据查询。同时，我们还计算出了当前页码和总页数，并将它们传递给 HTML 页面。

4. 创建一个 Service 接口和实现类，用于调用 DAO 层进行数据查询：

public interface QueryService {
   public List<User> query(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int page, int pageSize);
   public int getTotalPages(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int pageSize);
}

public class QueryServiceImpl implements QueryService {
   private QueryDao queryDao = new QueryDaoImpl();

   public List<User> query(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int page, int pageSize) {
      return queryDao.query(gender, area, age1, age2, occupation, maritalStatus, page, pageSize);
   }

   public int getTotalPages(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int pageSize) {
      int totalRecords = queryDao.getTotalRecords(gender, area, age1, age2, occupation, maritalStatus);
      return (totalRecords + pageSize - 1) / pageSize;
   }
}

在上述 Service 层中，我们定义了两个方法，分别是 `query` 和 `getTotalPages`。其中，`query` 方法调用 DAO 层进行数据查询，并返回查询结果；`getTotalPages` 方法计算总页数。

5. 创建一个 DAO 接口和实现类，用于实现具体的数据查询：

public interface QueryDao {
   public List<User> query(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int page, int pageSize);
   public int getTotalRecords(String gender, String area, int age1, int age2, String occupation, String maritalStatus);
}

public class QueryDaoImpl implements QueryDao {
   private static final String JDBC_URL = "jdbc:mysql://localhost:3306/mydb?useSSL=false&serverTimezone=UTC";
   private static final String JDBC_USERNAME = "root";
   private static final String JDBC_PASSWORD = "root";
   private static final String QUERY_SQL = "SELECT * FROM users WHERE 1 = 1";
   private static final String COUNT_SQL = "SELECT COUNT(*) FROM users WHERE 1 = 1";

   public List<User> query(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int page, int pageSize) {
      List<User> users = new ArrayList<User>();
      Connection conn = null;
      PreparedStatement stmt = null;
      ResultSet rs = null;
      try {
         conn = DriverManager.getConnection(JDBC_URL, JDBC_USERNAME, JDBC_PASSWORD);
         String sql = buildQuerySql(gender, area, age1, age2, occupation, maritalStatus, page, pageSize);
         stmt = conn.prepareStatement(sql);
         rs = stmt.executeQuery();
         while (rs.next()) {
            User user = new User();
            user.setId(rs.getInt("id"));
            user.setName(rs.getString("name"));
            user.setGender(rs.getString("gender"));
            user.setAge(rs.getInt("age"));
            user.setArea(rs.getString("area"));
            user.setOccupation(rs.getString("occupation"));
            user.setMaritalStatus(rs.getString("marital_status"));
            users.add(user);
         }
      } catch (SQLException e) {
         e.printStackTrace();
      } finally {
         try { rs.close(); } catch (Exception e) { }
         try { stmt.close(); } catch (Exception e) { }
         try { conn.close(); } catch (Exception e) { }
      }
      return users;
   }

   public int getTotalRecords(String gender, String area, int age1, int age2, String occupation, String maritalStatus) {
      int totalRecords = 0;
      Connection conn = null;
      PreparedStatement stmt = null;
      ResultSet rs = null;
      try {
         conn = DriverManager.getConnection(JDBC_URL, JDBC_USERNAME, JDBC_PASSWORD);
         String sql = buildCountSql(gender, area, age1, age2, occupation, maritalStatus);
         stmt = conn.prepareStatement(sql);
         rs = stmt.executeQuery();
         if (rs.next()) {
            totalRecords = rs.getInt(1);
         }
      } catch (SQLException e) {
         e.printStackTrace();
      } finally {
         try { rs.close(); } catch (Exception e) { }
         try { stmt.close(); } catch (Exception e) { }
         try { conn.close(); } catch (Exception e) { }
      }
      return totalRecords;
   }

   private String buildQuerySql(String gender, String area, int age1, int age2, String occupation, String maritalStatus, int page, int pageSize) {
      StringBuilder sb = new StringBuilder(QUERY_SQL);
      if (StringUtils.isNotEmpty(gender)) {
         sb.append(" AND gender = '" + gender + "'");
      }
      if (StringUtils.isNotEmpty(area)) {
         sb.append(" AND area LIKE '%" + area + "%'");
      }
      if (age1 > 0 && age2 > 0) {
         sb.append(" AND age BETWEEN " + age1 + " AND " + age2);
      }
      if (StringUtils.isNotEmpty(occupation)) {
         sb.append(" AND occupation LIKE '%" + occupation + "%'");
      }
      if (StringUtils.isNotEmpty(maritalStatus)) {
         sb.append(" AND marital_status = '" + maritalStatus + "'");
      }
      sb.append(" LIMIT " + (page - 1) * pageSize + ", " + pageSize);
      return sb.toString();
   }

   private String buildCountSql(String gender, String area, int age1, int age2, String occupation, String maritalStatus) {
      StringBuilder sb = new StringBuilder(COUNT_SQL);
      if (StringUtils.isNotEmpty(gender)) {
         sb.append(" AND gender = '" + gender + "'");
      }
      if (StringUtils.isNotEmpty(area)) {
         sb.append(" AND area LIKE '%" + area + "%'");
      }
      if (age1 > 0 && age2 > 0) {
         sb.append(" AND age BETWEEN " + age1 + " AND " + age2);
      }
      if (StringUtils.isNotEmpty(occupation)) {
         sb.append(" AND occupation LIKE '%" + occupation + "%'");
      }
      if (StringUtils.isNotEmpty(maritalStatus)) {
         sb.append(" AND marital_status = '" + maritalStatus + "'");
      }
      return sb.toString();
   }
}

在上述 DAO 层中，我们定义了两个方法，分别是 `query` 和 `getTotalRecords`。其中，`query` 方法根据查询条件进行数据查询，并返回查询结果；`getTotalRecords` 方法计算总记录数。

至此，基于html，servlet，service，dao层之间进行数据回显并分页的功能的Maven项目已经完成了。