Spring Boot集成tablesaw插件快速入門示例代碼
1.什么是tablesaw？
Tablesaw是一款Java的數(shù)據(jù)可視化庫，主要包括兩部分：
- 數(shù)據(jù)解析庫，主要用于加載數(shù)據(jù)，對數(shù)據(jù)進(jìn)行操作(轉(zhuǎn)化，過濾，匯總等)，類比Python中的Pandas庫；
- 數(shù)據(jù)可視化庫，將目標(biāo)數(shù)據(jù)轉(zhuǎn)化為可視化的圖表，類比Python中的Matplotlib庫。
與Pandas不同的是，Tablesaw中的表格以列(Column)為基本單位，因此大部分操作都是基于列進(jìn)行的。當(dāng)然也包括部分對行操作的函數(shù)，但是功能比較有限
tablesaw目錄說明：
- aggregate：maven 的項(xiàng)目父級項(xiàng)目，主要定義項(xiàng)目打包的配置。
- beakerx：tablesaw 庫的注冊中心，主要注冊表和列。
- core：tablesaw 庫的核心代碼，主要是數(shù)據(jù)的加工處理操作：數(shù)據(jù)的追加，排序，分組，查詢等。
- data：項(xiàng)目測試數(shù)據(jù)目錄。
- docs：項(xiàng)目 MarkDown 文檔目錄。
- docs-src：項(xiàng)目文檔源碼目錄，主要作用是生成 MarkDown 文檔。
- excel：解析 excel 文件數(shù)據(jù)的子項(xiàng)目。
- html：解析 html 文件數(shù)據(jù)的子項(xiàng)目。
- json：解析 json 文件數(shù)據(jù)的子項(xiàng)目。
- jsplot：數(shù)據(jù)可視化的子項(xiàng)目，主要作用加載數(shù)據(jù)生成可視化圖表。
- saw：tablesaw 讀寫圖表數(shù)據(jù)的子項(xiàng)目。
2.環(huán)境準(zhǔn)備
mysql setup
docker run --name docker-mysql-5.7 -e MYSQL_ROOT_PASSWORD=123456 -p 3306:3306 -d mysql:5.7
init data
create database demo;
create table user_info
(
user_id varchar(64) not null primary key,
username varchar(100) null ,
age int(3) null ,
gender tinyint(1) null ,
remark varchar(255) null ,
create_time datetime null ,
create_id varchar(64) null ,
update_time datetime null ,
update_id varchar(64) null ,
enabled tinyint(1) default 1 null
);
INSERT INTO demo.user_info
(user_id, username, age, gender, remark, create_time, create_id, update_time, update_id, enabled)
VALUES('1', '1', 1, 1, '1', NULL, '1', NULL, NULL, 1);
remark
msyql username：root mysql password：123456
3.代碼工程
實(shí)驗(yàn)?zāi)康模?/h3>
利用tablesaw加工和處理二維數(shù)據(jù)，并且可視化
pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>springboot-demo</artifactId>
<groupId>com.et</groupId>
<version>1.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>tablesaw</artifactId>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-autoconfigure</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>tech.tablesaw</groupId>
<artifactId>tablesaw-core</artifactId>
<version>0.43.1</version>
</dependency>
<dependency>
<groupId>tech.tablesaw</groupId>
<artifactId>tablesaw-jsplot</artifactId>
<version>0.43.1</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<!--mysql-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>8.0.29</version>
</dependency>
</dependencies>
</project>application.yaml
server:
port: 8088
spring:
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.zaxxer.hikari.HikariDataSource
url: jdbc:mysql://127.0.0.1:3306/demo?useUnicode=true&characterEncoding=utf-8&useSSL=false
username: root
password: 123456讀取csv數(shù)據(jù)
@Before
public void before() throws IOException {
log.info("init some data");
tornadoes = Table.read().csv("/Users/liuhaihua/IdeaProjects/springboot-demo/tablesaw/src/main/resources/data/tornadoes_1950-2014.csv");
}打印列名
@Test
public void columnNames() throws IOException {
System.out.println(tornadoes.columnNames());
}結(jié)果
[Date, Time, State, State No, Scale, Injuries, Fatalities, Start Lat, Start Lon, Length, Width]
查看shape
@Test
public void shape() throws IOException {
System.out.println(tornadoes.shape());
}結(jié)果
tornadoes_1950-2014.csv: 59945 rows X 11 cols
查看表結(jié)構(gòu)
@Test
public void structure() throws IOException {
System.out.println(tornadoes.structure().printAll());
}結(jié)果
2024-06-05 21:13:01.297 INFO 41685 --- [ main] com.et.tablesaw.DemoTests : init some data
Structure of tornadoes_1950-2014.csv
Index | Column Name | Column Type |
-----------------------------------------
0 | Date | LOCAL_DATE |
1 | Time | LOCAL_TIME |
2 | State | STRING |
3 | State No | INTEGER |
4 | Scale | INTEGER |
5 | Injuries | INTEGER |
6 | Fatalities | INTEGER |
7 | Start Lat | DOUBLE |
8 | Start Lon | DOUBLE |
9 | Length | DOUBLE |
10 | Width | INTEGER |
2024-06-05 21:13:02.907 INFO 41685 --- [ main] com.et.tablesaw.DemoTests : clean some data
查看數(shù)據(jù)
@Test
public void show() throws IOException {
System.out.println(tornadoes);
}結(jié)果
2024-06-05 21:14:52.181 INFO 41732 --- [ main] com.et.tablesaw.DemoTests : init some data
tornadoes_1950-2014.csv
Date | Time | State | State No | Scale | Injuries | Fatalities | Start Lat | Start Lon | Length | Width |
-----------------------------------------------------------------------------------------------------------------------------------------
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 9.5 | 150 |
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 6.2 | 150 |
1950-01-03 | 11:10:00 | IL | 1 | 3 | 0 | 0 | 38.82 | -90.12 | 3.3 | 100 |
1950-01-03 | 11:55:00 | IL | 2 | 3 | 3 | 0 | 39.1 | -89.3 | 3.6 | 130 |
1950-01-03 | 16:00:00 | OH | 1 | 1 | 1 | 0 | 40.88 | -84.58 | 0.1 | 10 |
1950-01-13 | 05:25:00 | AR | 1 | 3 | 1 | 1 | 34.4 | -94.37 | 0.6 | 17 |
1950-01-25 | 19:30:00 | MO | 2 | 2 | 5 | 0 | 37.6 | -90.68 | 2.3 | 300 |
1950-01-25 | 21:00:00 | IL | 3 | 2 | 0 | 0 | 41.17 | -87.33 | 0.1 | 100 |
1950-01-26 | 18:00:00 | TX | 1 | 2 | 2 | 0 | 26.88 | -98.12 | 4.7 | 133 |
1950-02-11 | 13:10:00 | TX | 2 | 2 | 0 | 0 | 29.42 | -95.25 | 9.9 | 400 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
2014-12-23 | 14:46:00 | MS | 0 | 0 | 0 | 0 | 31.4247 | -89.5358 | 0.24 | 50 |
2014-12-23 | 15:22:00 | MS | 0 | 2 | 0 | 2 | 31.6986 | -89.2239 | 5.89 | 350 |
2014-12-23 | 16:27:00 | MS | 0 | 0 | 0 | 0 | 32.0005 | -88.4854 | 0.49 | 100 |
2014-12-24 | 09:30:00 | NC | 0 | 1 | 1 | 0 | 34.3124 | -77.917 | 0.2 | 25 |
2014-12-24 | 11:50:00 | GA | 0 | 1 | 0 | 0 | 31.406 | -82.251 | 5.69 | 100 |
2014-12-24 | 16:16:00 | OH | 0 | 0 | 0 | 0 | 39.728 | -82.634 | 0.63 | 30 |
2014-12-27 | 13:12:00 | TX | 0 | 0 | 0 | 0 | 30.3853 | -94.7823 | 0.23 | 75 |
2014-12-27 | 14:00:00 | TX | 0 | 1 | 0 | 0 | 30.6829 | -94.2553 | 4.25 | 50 |
2014-12-27 | 14:35:00 | TX | 0 | 1 | 0 | 0 | 30.864 | -93.979 | 1.98 | 150 |
2014-12-29 | 10:26:00 | GA | 0 | 2 | 9 | 0 | 30.8157 | -83.2833 | 0.74 | 180 |
2024-06-05 21:14:54.430 INFO 41732 --- [ main] com.et.tablesaw.DemoTests : clean some data
表結(jié)構(gòu)過濾
@Test
public void structurefilter() throws IOException {
System.out.println( tornadoes
.structure()
.where(tornadoes.structure().stringColumn("Column Type").isEqualTo("DOUBLE")));
}結(jié)果
2024-06-05 21:16:12.489 INFO 41766 --- [ main] com.et.tablesaw.DemoTests : init some data
Structure of tornadoes_1950-2014.csv
Index | Column Name | Column Type |
-----------------------------------------
7 | Start Lat | DOUBLE |
8 | Start Lon | DOUBLE |
9 | Length | DOUBLE |
2024-06-05 21:16:14.104 INFO 41766 --- [ main] com.et.tablesaw.DemoTests : clean some data
預(yù)覽數(shù)據(jù)
@Test
public void previewdata() throws IOException {
System.out.println(tornadoes.first(3));
}結(jié)果
2024-06-05 21:17:21.268 INFO 41798 --- [ main] com.et.tablesaw.DemoTests : init some data
tornadoes_1950-2014.csv
Date | Time | State | State No | Scale | Injuries | Fatalities | Start Lat | Start Lon | Length | Width |
-----------------------------------------------------------------------------------------------------------------------------------------
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 9.5 | 150 |
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 6.2 | 150 |
1950-01-03 | 11:10:00 | IL | 1 | 3 | 0 | 0 | 38.82 | -90.12 | 3.3 | 100 |
2024-06-05 21:17:23.206 INFO 41798 --- [ main] com.et.tablesaw.DemoTests : clean some data
列操作
@Test
public void ColumnOperate() throws IOException {
StringColumn month = tornadoes.dateColumn("Date").month();
tornadoes.addColumns(month);
System.out.println(tornadoes.first(3));
tornadoes.removeColumns("State No");
System.out.println(tornadoes.first(3));
}結(jié)果
2024-06-05 21:20:33.554 INFO 41879 --- [ main] com.et.tablesaw.DemoTests : init some data
tornadoes_1950-2014.csv
Date | Time | State | State No | Scale | Injuries | Fatalities | Start Lat | Start Lon | Length | Width | Date month |
--------------------------------------------------------------------------------------------------------------------------------------------------------
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 9.5 | 150 | JANUARY |
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 6.2 | 150 | JANUARY |
1950-01-03 | 11:10:00 | IL | 1 | 3 | 0 | 0 | 38.82 | -90.12 | 3.3 | 100 | JANUARY |
tornadoes_1950-2014.csv
Date | Time | State | Scale | Injuries | Fatalities | Start Lat | Start Lon | Length | Width | Date month |
-------------------------------------------------------------------------------------------------------------------------------------------
1950-01-03 | 11:00:00 | MO | 3 | 3 | 0 | 38.77 | -90.22 | 9.5 | 150 | JANUARY |
1950-01-03 | 11:00:00 | MO | 3 | 3 | 0 | 38.77 | -90.22 | 6.2 | 150 | JANUARY |
1950-01-03 | 11:10:00 | IL | 3 | 0 | 0 | 38.82 | -90.12 | 3.3 | 100 | JANUARY |
2024-06-05 21:20:37.052 INFO 41879 --- [ main] com.et.tablesaw.DemoTests : clean some data
排序
@Test
public void sort() throws IOException {
tornadoes.sortOn("-Fatalities");
System.out.println(tornadoes.first(20));
}結(jié)果
2024-06-05 21:23:22.978 INFO 41945 --- [ main] com.et.tablesaw.DemoTests : init some data
tornadoes_1950-2014.csv
Date | Time | State | State No | Scale | Injuries | Fatalities | Start Lat | Start Lon | Length | Width |
-----------------------------------------------------------------------------------------------------------------------------------------
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 9.5 | 150 |
1950-01-03 | 11:00:00 | MO | 1 | 3 | 3 | 0 | 38.77 | -90.22 | 6.2 | 150 |
1950-01-03 | 11:10:00 | IL | 1 | 3 | 0 | 0 | 38.82 | -90.12 | 3.3 | 100 |
1950-01-03 | 11:55:00 | IL | 2 | 3 | 3 | 0 | 39.1 | -89.3 | 3.6 | 130 |
1950-01-03 | 16:00:00 | OH | 1 | 1 | 1 | 0 | 40.88 | -84.58 | 0.1 | 10 |
1950-01-13 | 05:25:00 | AR | 1 | 3 | 1 | 1 | 34.4 | -94.37 | 0.6 | 17 |
1950-01-25 | 19:30:00 | MO | 2 | 2 | 5 | 0 | 37.6 | -90.68 | 2.3 | 300 |
1950-01-25 | 21:00:00 | IL | 3 | 2 | 0 | 0 | 41.17 | -87.33 | 0.1 | 100 |
1950-01-26 | 18:00:00 | TX | 1 | 2 | 2 | 0 | 26.88 | -98.12 | 4.7 | 133 |
1950-02-11 | 13:10:00 | TX | 2 | 2 | 0 | 0 | 29.42 | -95.25 | 9.9 | 400 |
1950-02-11 | 13:50:00 | TX | 3 | 3 | 12 | 1 | 29.67 | -95.05 | 12 | 1000 |
1950-02-11 | 21:00:00 | TX | 4 | 2 | 5 | 0 | 32.35 | -95.2 | 4.6 | 100 |
1950-02-11 | 23:55:00 | TX | 5 | 2 | 6 | 0 | 32.98 | -94.63 | 4.5 | 67 |
1950-02-12 | 00:30:00 | TX | 6 | 2 | 8 | 1 | 33.33 | -94.42 | 8 | 833 |
1950-02-12 | 01:15:00 | TX | 7 | 1 | 0 | 0 | 32.08 | -98.35 | 2.3 | 233 |
1950-02-12 | 06:10:00 | TX | 8 | 2 | 0 | 0 | 31.52 | -96.55 | 3.4 | 100 |
1950-02-12 | 11:57:00 | TX | 9 | 1 | 32 | 0 | 31.8 | -94.2 | 7.7 | 100 |
1950-02-12 | 12:00:00 | TX | 10 | 3 | 15 | 3 | 31.8 | -94.2 | 1.9 | 50 |
1950-02-12 | 12:00:00 | MS | 2 | 1 | 0 | 0 | 34.6 | -89.12 | 2 | 10 |
1950-02-12 | 12:00:00 | MS | 1 | 2 | 2 | 3 | 34.6 | -89.12 | 0.1 | 10 |
2024-06-05 21:23:24.864 INFO 41945 --- [ main] com.et.tablesaw.DemoTests : clean some data
summary
@Test
public void summary() throws IOException {
System.out.println( tornadoes.column("Fatalities").summary().print());
}結(jié)果
2024-06-05 21:24:17.166 INFO 41963 --- [ main] com.et.tablesaw.DemoTests : init some data
Column: Fatalities
Measure | Value |
------------------------------------
Count | 59945 |
sum | 6802 |
Mean | 0.11347068145800349 |
Min | 0 |
Max | 158 |
Range | 158 |
Variance | 2.901978053261765 |
Std. Dev | 1.7035193140266314 |
2024-06-05 21:24:19.131 INFO 41963 --- [ main] com.et.tablesaw.DemoTests : clean some data
數(shù)據(jù)過濾
@Test
public void filter() throws IOException {
Table result = tornadoes.where(tornadoes.intColumn("Fatalities").isGreaterThan(0));
result = tornadoes.where(result.dateColumn("Date").isInApril());
result =
tornadoes.where(
result
.intColumn("Width")
.isGreaterThan(300) // 300 yards
.or(result.doubleColumn("Length").isGreaterThan(10))); // 10 miles
result = result.select("State", "Date");
System.out.println(result);
}結(jié)果
2024-06-05 21:25:03.671 INFO 41980 --- [ main] com.et.tablesaw.DemoTests : init some data
tornadoes_1950-2014.csv
State | Date |
------------------------
MO | 1950-01-03 |
IL | 1950-01-03 |
OH | 1950-01-03 |
AR | 1950-01-13 |
MO | 1950-01-25 |
IL | 1950-01-25 |
TX | 1950-02-12 |
TX | 1950-02-12 |
LA | 1950-02-12 |
AR | 1950-02-12 |
... | ... |
KS | 1951-06-21 |
OK | 1951-06-21 |
KS | 1951-06-23 |
WV | 1951-06-26 |
KS | 1951-06-27 |
IL | 1951-06-27 |
PA | 1951-06-27 |
SD | 1951-07-20 |
KS | 1951-08-06 |
NC | 1951-08-09 |
2024-06-05 21:25:05.764 INFO 41980 --- [ main] com.et.tablesaw.DemoTests : clean some data
寫入文件
@Test
public void write() throws IOException {
tornadoes.write().csv("rev_tornadoes_1950-2014-test.csv");
}從mysql讀取數(shù)據(jù)
@Resource
private JdbcTemplate jdbcTemplate;
@Test
public void datafrommysql() throws IOException {
Table table = jdbcTemplate.query("SELECT user_id,username,age from user_info", new ResultSetExtractor<Table>() {
@Override
public Table extractData(ResultSet resultSet) throws SQLException, DataAccessException {
return Table.read().db(resultSet);
}
});
System.out.println(table);
}結(jié)果
2024-06-05 21:26:04.963 INFO 42016 --- [ main] com.et.tablesaw.DemoTests : init some data
2024-06-05 21:26:06.622 INFO 42016 --- [ main] com.zaxxer.hikari.HikariDataSource : HikariPool-1 - Starting...
2024-06-05 21:26:06.949 INFO 42016 --- [ main] com.zaxxer.hikari.HikariDataSource : HikariPool-1 - Start completed.
user_id | username | age |
--------------------------------
1 | 1 | 1 |
2024-06-05 21:26:07.037 INFO 42016 --- [ main] com.et.tablesaw.DemoTests : clean some data
數(shù)據(jù)可視化
/*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.et.tablesaw;
import java.io.IOException;
import tech.tablesaw.api.Table;
import tech.tablesaw.plotly.Plot;
import tech.tablesaw.plotly.api.BubblePlot;
import tech.tablesaw.plotly.components.Figure;
/** */
public class BubbleExample2 {
public static void main(String[] args) throws IOException {
Table wines = Table.read().csv("/Users/liuhaihua/IdeaProjects/springboot-demo/tablesaw/src/main/resources/data/test_wines.csv");
Table champagne =
wines.where(
wines
.stringColumn("wine type")
.isEqualTo("Champagne & Sparkling")
.and(wines.stringColumn("region").isEqualTo("California")));
Figure figure =
BubblePlot.create(
"Average retail price for champagnes by year and rating",
champagne, // table namex
"highest pro score", // x variable column name
"year", // y variable column name
"Mean Retail" // bubble size
);
Plot.show(figure);
}
}結(jié)果如下圖
以上只是一些關(guān)鍵代碼，所有代碼請參見下面代碼倉庫
代碼倉庫
https://github.com/Harries/springboot-demo
4.引用
https://jtablesaw.github.io/tablesaw/tutorial
Spring Boot集成tablesaw插件快速入門Demo | Harries Blog™
到此這篇關(guān)于Spring Boot集成tablesaw插件快速入門Demo的文章就介紹到這了,更多相關(guān)Spring Boot集成tablesaw內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！
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