我有一个 CSV 文件，我正在使用 OpenCSV 解析该文件。 。 CSV 文件如下所示:
delta,theta,signal_1,signal_2,signal_3,signal_4,signal_5,signal_6,value_1,value_2,death 71239,56366,8654,21170,16053,27229,5835,8834,3.511244,3.511244,0 234145,160964,16164,20320,29410,17088,9041,8885,5.473104,4.165198,0 76576,23670,11216,22239,8831,15797,13216,7872,2.680331,2.380573,0 44504,39475,12008,18694,14639,25165,11716,24879,2.696564,2.685185,0 275603,31948,10360,7867,15249,16791,8526,4918,2.095088,2.490662,0 80893,16847,7368,19869,5425,11039,6720,5553,3.105438,2.632364,0 70494,323693,61661,3887,17667,35640,16069,8686,18.3219,9.953226,1 808498,57853,13771,15957,13831,20629,15981,11177,4.18285,10.971,1 900628,263343,38948,48837,11122,12378,29276,25673,23.67767,15.39414,1 306369,11836,12448,16708,14225,38644,56110,24842,0.8320562,9.564192,1 2337196,354879,28332,94271,31804,40325,27890,35445,11.15831,11.88935,1 129047,45750,2640,13725,6823,17161,8363,8970,6.705262,6.231878,1 275603,31948,10360,7867,15249,16791,8526,4918,2.095088,2.490662,2 80893,16847,7368,19869,5425,11039,6720,5553,3.105438,2.632364,2 80494,312693,61261,3887,17667,35640,16069,8686,18.3219,9.953226,2 990628,123343,12948,48837,11122,12378,29276,25673,23.67767,15.39414,2 886369,56836,12348,16708,14225,38644,56110,24842,0.8320562,9.564192,2 4437196,234879,34532,94271,31804,40325,27890,35445,11.15831,11.88935,2
这里，最后一列是死亡值，并且在某些行之后不断增加(这完全是任意的)。我想找到第一例死亡发生在哪一行，并将前 3 行写入一个单独的 csv 文件。所以在这里，第一例死亡发生在
70494,323693,61661,3887,17667,35640,16069,8686,18.3219,9.953226,1
所以我将考虑前三行:
44504,39475,12008,18694,14639,25165,11716,24879,2.696564,2.685185,0 275603,31948,10360,7867,15249,16791,8526,4918,2.095088,2.490662,0 80893,16847,7368,19869,5425,11039,6720,5553,3.105438,2.632364,0
并将它们写入单独的 CSV 文件(假设这是 newCSV.csv)。将对 Death = 2 和 Death = 3 执行相同操作，并将它们继续附加到 newCSV.csv 文件中。 我可以使用 OpenCSV 逐行读取它们，但不知道如何根据死亡值检测行。任何帮助将不胜感激。
最佳答案
这是您的完整解决方案，
你的主要逻辑，
FileInputStream fin = new FileInputStream("C/inputFile.csv");
FileOutputStream fout = new FileOutputStream("C/newCSV.csv");
BufferedReader br = new BufferedReader(new InputStreamReader(fin));
MyObject[] last3MyObject = new MyObject[3];
int index = 0;
String str = br.readLine();//read Filed Header Value...
String fieldHeader = str;
fout.write(fieldHeader.getBytes());//write header into output file...
str = br.readLine();
int currentDeathValue = 0;
int previousDeathValue = 0;
while(str != null){
MyObject myObject = new MyObject();
String [] tkn = str.split(",");
myObject.setDelta(Long.parseLong(tkn[0]));
myObject.setTheta(Long.parseLong(tkn[1]));
myObject.setSignal_1(Long.parseLong(tkn[2]));
myObject.setSignal_2(Long.parseLong(tkn[3]));
myObject.setSignal_3(Long.parseLong(tkn[4]));
myObject.setSignal_4(Long.parseLong(tkn[5]));
myObject.setSignal_5(Long.parseLong(tkn[6]));
myObject.setSignal_6(Long.parseLong(tkn[7]));
myObject.setValue_1(Double.parseDouble(tkn[8]));
myObject.setValue_2(Double.parseDouble(tkn[9]));
currentDeathValue = Integer.parseInt(tkn[10]);
if(currentDeathValue != previousDeathValue){
for(MyObject mylast3Object : last3MyObject){
fout.write(mylast3Object.toString().getBytes());
fout.write("\n".getBytes());
}
}
previousDeathValue = currentDeathValue;
myObject.setDeath(currentDeathValue);
if(index == 3){
index = 0;
}
last3MyObject[index++] = myObject;
str = br.readLine();
创建一个 Bean 类，例如，
class MyObject{
private long delta;
private long theta;
private long signal_1;
private long signal_2;
private long signal_3;
private long signal_4;
private long signal_5;
private long signal_6;
private double value_1;
private double value_2;
private int death;
public long getDelta() {
return delta;
}
public void setDelta(long delta) {
this.delta = delta;
}
public long getTheta() {
return theta;
}
public void setTheta(long theta) {
this.theta = theta;
}
public long getSignal_1() {
return signal_1;
}
public void setSignal_1(long signal_1) {
this.signal_1 = signal_1;
}
public long getSignal_2() {
return signal_2;
}
public void setSignal_2(long signal_2) {
this.signal_2 = signal_2;
}
public long getSignal_3() {
return signal_3;
}
public void setSignal_3(long signal_3) {
this.signal_3 = signal_3;
}
public long getSignal_4() {
return signal_4;
}
public void setSignal_4(long signal_4) {
this.signal_4 = signal_4;
}
public long getSignal_5() {
return signal_5;
}
public void setSignal_5(long signal_5) {
this.signal_5 = signal_5;
}
public long getSignal_6() {
return signal_6;
}
public void setSignal_6(long signal_6) {
this.signal_6 = signal_6;
}
public double getValue_1() {
return value_1;
}
public void setValue_1(double value_1) {
this.value_1 = value_1;
}
public double getValue_2() {
return value_2;
}
public void setValue_2(double value_2) {
this.value_2 = value_2;
}
public int getDeath() {
return death;
}
public void setDeath(int death) {
this.death = death;
}
@Override
public String toString() {
return this.delta+","+this.theta+","+this.signal_1+","+this.signal_2+","+this.signal_3+","+this.signal_4+","+this.signal_5+","+this.signal_6+","+this.value_1+","+this.value_2+","+this.death;
}
}
已编辑...
while(str != null){
//System.out.println("IN");
MyObject myObject = new MyObject();
String [] tkn = str.split(",");
myObject.setDelta(Long.parseLong(tkn[0]));
myObject.setTheta(Long.parseLong(tkn[1]));
myObject.setSignal_1(Long.parseLong(tkn[2]));
myObject.setSignal_2(Long.parseLong(tkn[3]));
myObject.setSignal_3(Long.parseLong(tkn[4]));
myObject.setSignal_4(Long.parseLong(tkn[5]));
myObject.setSignal_5(Long.parseLong(tkn[6]));
myObject.setSignal_6(Long.parseLong(tkn[7]));
myObject.setValue_1(Double.parseDouble(tkn[8]));
myObject.setValue_2(Double.parseDouble(tkn[9]));
currentDeathValue = Integer.parseInt(tkn[10]);
myObject.setDeath(currentDeathValue);
if(flag && (previousDeathValue == currentDeathValue)){
if(index < 3){
last3MyObject[index++] = myObject;
}else{
flag = false;
for(MyObject mylast3Object : last3MyObject){
System.out.println(mylast3Object);
fout.write(mylast3Object.toString().getBytes());
fout.write("\n".getBytes());
}
}
}
if(currentDeathValue != previousDeathValue){
flag = true;
index = 0;
}
previousDeathValue = currentDeathValue;
str = br.readLine();
}
关于java - 使用 OpenCSV 根据特定行值查找 csv 文件的确切部分，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/33951582/