我有 3 个编辑文本字段。我对这三个都使用了文本观察器。它运作良好。这意味着，如果我在 edittext A 中键入一些内容，它会提供基于 A 的结果。在 edittext B 和 edittext C 中相同。我想获得合并的结果。我想像这样过滤结果：
如果我在国家号输入“2”，在注册号输入“3”，结果应该是这样的
国家编号： 注册编号： 姓名：
234 34 john
2890 345 xxxx
21 3 smith
我将过滤后的值保存在数组列表中，并将该数组列表传递给适配器。
edtNationalityInfo.addTextChangedListener(new TextWatcher() {
public void afterTextChanged(Editable s) {
}
public void beforeTextChanged(CharSequence s, int start, int count,
int after) {
}
public void onTextChanged(CharSequence s, int start, int before,
int count) {
textlength = edtNationalityInfo.getText().length();
if (textlength > 0)
nationalFlag = true;
else
nationalFlag = false;
// filtered_data.clear();
for (int i = 0; i < data.size(); i++) {
if (textlength <= data.get(i).get_nationalityno().length()) {
if (edtNationalityInfo
.getText()
.toString()
.equalsIgnoreCase(
(String) data.get(i)
.get_nationalityno()
.subSequence(0, textlength))) {
filtered_data.add(data.get(i));
}
}
}
lvVotersList.setAdapter(new TextWatcherAdapter(Attendance.this,
filtered_data));
}
});
edtVoterName.addTextChangedListener(new TextWatcher() {
public void afterTextChanged(Editable s) {
}
public void beforeTextChanged(CharSequence s, int start, int count,
int after) {
}
public void onTextChanged(CharSequence s, int start, int before,
int count) {
textlength = edtVoterName.getText().length();
if (textlength > 0)
nameFlag = true;
else
nameFlag = false;
// filtered_data.clear();
for (int i = 0; i < data.size(); i++) {
if (textlength <= data.get(i).get_name().length()) {
if (edtVoterName
.getText()
.toString()
.equalsIgnoreCase(
(String) data.get(i).get_name()
.subSequence(0, textlength))) {
filtered_data.add(data.get(i));
}
}
}
lvVotersList.setAdapter(new TextWatcherAdapter(Attendance.this,
filtered_data));
}
});
这是我的 ArrayList ：
data = new ArrayList<DataAttendance>();
filtered_data = new ArrayList<DataAttendance>();
// 我的数据模型类：
public class DataAttendance {
public String _id = null;
public String _serialno = null;
public String _nationalityno = null;
public String _voteCasted = null;
public String _voteCastedTime = null;
public String _name = null;
public DataAttendance() {
}
public DataAttendance(String _name, String _serialno,
String _nationalityno, String _voteCasted, String _voteCastedTime) {
this._name = _name;
this._nationalityno = _nationalityno;
this._serialno = _serialno;
this._voteCasted = _voteCasted;
this._voteCastedTime = _voteCastedTime;
}
public String get_id() {
return _id;
}
public void set_id(String _id) {
this._id = _id;
}
public String get_name() {
return _name;
}
public void set_name(String _name) {
this._name = _name;
}
public String get_nationalityno() {
return _nationalityno;
}
public void set_nationalityno(String _nationalityno) {
this._nationalityno = _nationalityno;
}
public String get_serialno() {
return _serialno;
}
public void set_serialno(String _serialno) {
this._serialno = _serialno;
}
public String get_voteCasted() {
return _voteCasted;
}
public void set_voteCasted(String _voteCasted) {
this._voteCasted = _voteCasted;
}
public String get_voteCastedTime() {
return _voteCastedTime;
}
public void set_voteCastedTime(String _voteCastedTime) {
this._voteCastedTime = _voteCastedTime;
}
现在我越来越喜欢：
如果我在国家号输入“2”，在注册号输入“3”，结果应该是这样的
国家编号： 注册编号： 姓名：
234 434 siva
2890 345 elma
21 23 laura
像这样..
希望我能在这里得到帮助..！
//------------------------------------------------ ----------------------------------
我得到了另一个数组列表的解决方案：
这里是 ：
它可能会帮助某人..
edtVoterName.addTextChangedListener(new TextWatcher() {
public void afterTextChanged(Editable s) {
}
public void beforeTextChanged(CharSequence s, int start, int count,
int after) {
}
public void onTextChanged(CharSequence s, int start, int before,
int count) {
int Votertextlength = edtVoterName.getText().length();
if (Votertextlength > 0) {
nameFlag = true;
} else {
nameFlag = false;
}
textlength = edtVoterName.getText().length();
if (nationalFlag == true || registerFlag == true) {
Log.d("Attendance Flag : ",
" The Attendance nationalFlag == " + nationalFlag
+ " registerFlag == : " + registerFlag);
ArrayList<DataAttendance> temp_data;
temp_data = new ArrayList<DataAttendance>();
textlength = edtVoterName.getText().length();
// filtered_data.clear();
for (int i = 0; i < filtered_data.size(); i++) {
if (textlength <= filtered_data.get(i).get_name()
.length()) {
if (edtVoterName
.getText()
.toString()
.equalsIgnoreCase(
(String) filtered_data.get(i)
.get_name()
.subSequence(0, textlength))) {
temp_data.add(filtered_data.get(i));
}
}
}
filtered_data = temp_data;
lvVotersList.setAdapter(new TextWatcherAdapter(
Attendance.this, filtered_data));
} else {
filtered_data.clear();
for (int i = 0; i < data.size(); i++) {
if (textlength <= data.get(i).get_name()
.length()) {
if (edtVoterName
.getText()
.toString()
.equalsIgnoreCase(
(String) data.get(i)
.get_name()
.subSequence(0, textlength))) {
filtered_data.add(data.get(i));
}
}
}
lvVotersList.setAdapter(new TextWatcherAdapter(
Attendance.this, filtered_data));
}
}
});