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Thymeleaf

html + Spring EL을 쓴다
Natural Templating : DB, Front End

application.perperties
# Thymeleaf
spring.thymeleaf.cache=false
# 기본 경로
spring.thymeleaf.prefix=classpath:/templates/
# .html을 쓴다
spring.thymeleaf.suffix=.html
# thymeleaf/ 안에 있는 모든것
spring.thymeleaf.view-names=thymeleaf/*

pom.xml
<!-- Thymeleaf -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>

문법
<div th:text="${greeting}"></div> // div 영역에 텍스트를 넣는다
<a th:href="@{'/' + ${url}}">index.html</a>
<div th:if="${gender=='M'}">남자</div>
<div th:unless="${gender=='M'}">여자</div>
<div th:if="${#strings.equals(param2, 'A')">A</div>
<div th:switch="${gender}">
    <span th:case="M">Male</span>
    <span th:case="F">Female</span>
    <span th:case="*">Others</span>
</div>
<div th:text="'배열 원소수:' + ${nums.length} + '개'"><div>
<div th:text="${nums[0]}"></div>
<div th:text="'리스트 원소수:' + ${#lists.size(list)} + '개'">
<div th:if="${#lists.isEmpty(list)}">
<div>
    <span th:each="n : ${nums}"> // 컬렉션(array,list,map)
        [[${n}]]
    </span>
</div>
<div>
    <span th:each="item, i : ${items}">
        [[${i.index}]].[[${item}]]
    </span>
</div>
<p th:text="${param.q}"></p>
<p th:text="'이용자 아이디:' + ${session.userid}">
<p th:text="${emp.empno} + '/' + ${emp.ename}">
<p th:each="user : ${credit}">
    <span th:text="${user.key}"></span>
    <span th:text="${user.value}"></span>
</p>
<p th:each="i : ${#numbers.sequence(1,5)}">
    <span th:text="${i}"></span>
</p>
<button type='button' th:onclick="'updateEmp('+ ${e.empno} + ');'">적용</button>
<script th:inline="javascript">
host = [[${ip}]];
</script>
<a th:href="@{/board/view(id = ${board.id})}">글 상세보기</a>
<th:block th:include="@{/thymeleaf/fragments/header}"></th:block>
th:onclick="'location.href=\''+@{/freeboard(bname=${bname})}+'\''"
<select id="bname" th:value="${bname}">
    <option th:value="free" th:selected="${#strings.equals(bname,'free')}">자유게시판</option>
    <option th:value="meal" th:selected="${#strings.equals(bname,'meal')}">식단공유게시판</option>
    <option th:value="beforafter" th:selected="${#strings.equals(bname,'beforafter')}">비포에프터게시판</option>
</select>
<th:block></th:block>
<button id="freeboard_goback_button" th:onclick="|location.href='@{/freeboard(bname=${freeBoard.bname})}'|">뒤로가기</button>

세션
[[${session.userid}]]

> (gt)
< (lt)
>= (ge)
<= (le)
!(not)
== (eq)
!= (neq, ne)

index : 0부터 시작하는 값
count : 1부터 시작하는 값
size : 전체 사이즈
even , odd : 홀수, 짝수 여부 ( boolean )
first , last : 처음, 마지막 여부 ( boolean )
current : 현재 객체

이 블로그의 인기 게시물

Python Sklearn make_regression

from sklearn.datasets import make_regression import matplotlib.pyplot as plt X, y = make_regression(n_samples=250, n_features=1, noise=50, random_state=2) plt.scatter(X,y, s=2) plt.show() from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split # 한글 깨짐 없이 나오게 설정 from matplotlib import rcParams # 인코딩 폰트 설정 rcParams['font.family'] = 'New Gulim' rcParams['font.size'] = 10 x_train, x_test, y_train, y_test = train_test_split(X,y, test_size=.20, random_state=0) x_train.shape, x_test.shape, y_train.shape, y_test.shape # 모델 생성 model = LinearRegression() # 학습하기 model.fit(x_train, y_train) # 가중치, 편향치 구하기 model.coef_, model.intercept_ # (array([90.11061494]), 2.4224269924448585) # 결정 계수 model.score(x_train, y_train) # 0.789267454050733 # 추정 pred = model.predict(x_test) # 산점도 plt.scatter(x_test,y_test) plt.plot(x_test, pred, 'r-') plt.show() # 추정 model.predict([[3.0]]) # 학습할 때 주는 데이터의 형식을 따른다 # x의 최소값, 최대값을 계수와 절편을 사용하여 ...

Javascript on 함수

엔터키 감지하기 <input type="password" onkeypress="func(event)" /> function func(event) {      if(event.keyCode == 13) { // keyCode 13은 엔터이다           alert("엔터를 입력했습니다.");     }     if (event.tartget.value == 13) {          alert("엔터를 입력했습니다.");     } }

Grid 정렬

  .container { display : grid ; gap : 22px ; width : 1000px ; grid-template-columns : repeat ( auto-fit , 150px ); margin : auto ; justify-content : center ; } .container {      display : grid ; gap : 22px ; grid-template-columns : repeat ( auto-fit , minmax ( 250px , 1fr )); }