我想获取其中所有带有“反馈报告”的所有“ xlsx”文件。我想使此过滤器非常坚固。因此，任何部分匹配（例如“ feedback_report”，“ feedback report”，“ Feedback Report”）都应返回true。
示例文件名：
下面是徒劳的尝试。
regex = re.compile(r"[a-zA-Z0-0]*[fF][eE][eE][dD][bB][aA][cC][kK]\s[rR][eE][pP][oO][rR][tT][a-zA-Z0-0]*.xlsx")
答案 0 :(得分：1)
首先，使用小写文件名，以减少可能的选项数量
coef_dict = {}
for coef, feat in zip(model_1.coef_[0,:],model_1_features):
coef_dict[feat] = coef
查找“反馈”，接下来最多3个字符，下一个“报告”，然后再重复，以点和xls或xlsx扩展名结尾
或者只是
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
try {
bitmap = Bitmap.createBitmap(
500, // Width
500, // Height
Bitmap.Config.ARGB_8888 // Config
);
canvas = new Canvas(bitmap);
canvas.drawColor(Color.LTGRAY);
c_height = canvas.getHeight();
c_width = canvas.getWidth();
paint = new Paint();
paint.setStyle(Paint.Style.STROKE);
paint.setStrokeWidth(18);
paint.setColor(Color.RED);
paint_circle = new Paint();
paint_circle.setStyle(Paint.Style.STROKE);
paint_circle.setStrokeWidth(5);
paint_circle.setColor(Color.RED);
float dpi = getResources().getDisplayMetrics().density;
textView =(TextView)findViewById(R.id.text);
mImageView=(ImageView)findViewById(R.id.imageView);
mImageView.setImageBitmap(bitmap);
mScaleGestureDetector = new ScaleGestureDetector(this, new ScaleListener());
buildGoogleApiClient();
}catch (Exception e){
Log.i("ERRORR","ERRRRR ="+e.getMessage());
}
}
protected synchronized void buildGoogleApiClient() {
mGoogleApiClient = new GoogleApiClient.Builder(this)
.addApi(LocationServices.API)
.addConnectionCallbacks(this)
.addOnConnectionFailedListener(this)
.build();
mLocationProvider = LocationServices.FusedLocationApi;
mLocationRequest = new LocationRequest();
mLocationRequest.setInterval(30000);
//mLocationRequest.setFastestInterval(950);
mLocationRequest.setPriority(LocationRequest.PRIORITY_HIGH_ACCURACY);
}
@Override
protected void onStart() {
super.onStart();
checkGps();
mGoogleApiClient.connect();
}
@Override
protected void onStop() {
super.onStop();
if (mGoogleApiClient.isConnected()) {
mGoogleApiClient.disconnect();
}
}
@Override
public void onConnected(Bundle bundle) {
RequestLocationUpdates();
mLastLocation = LocationServices.FusedLocationApi.getLastLocation(mGoogleApiClient);
}
@Override
public void onLocationChanged(Location location) {
try {
if (flag == 0) {
Log.i("XCXCX 1", "RGRGRG we");
first_lat = location.getLatitude();
first_long = location.getLongitude();
old_lat = location.getLatitude();
old_long = location.getLongitude();
start_altitude = location.getAltitude();
// first_x= (float) (340 + ((first_long*340)/180));
// first_y= (float) (240 - ((first_lat*240)/180));
// first_x = (float) (100 + ((first_long * 100) / 180));
// first_y = (float) (100 - ((first_lat * 100) / 180));
first_x= (int) ((c_width/360.0) * (180 + first_x));
first_y = (int) ((c_height/180.0) * (90 - first_y));
canvas.drawCircle(first_x, first_y, 5, paint_circle);
mImageView.setImageBitmap(bitmap);
// first_x = (float) (6371 * Math.cos(first_lat) *
Math.cos(first_long));
// first_y = (float) (6371 * Math.cos(first_lat) *
Math.sin(first_long));
flag = 1;
} else {
}
if (second_flag == 1) {
Log.i("XCXCX 2", "RGRGRG we");
second_lat = location.getLatitude();
second_long = location.getLongitude();
end_altitude = location.getAltitude();
// second_x = (float) (100 + ((second_long * 100) / 180));
// second_y = (float) (100 - ((second_lat * 100) / 180));
second_x= (int) ((c_width/360.0) * (180 + second_long));
second_y = (int) ((c_height/180.0) * (90 - second_lat));
//second_x = first_x+second_x;
//second_y = first_y+second_y;
// second_x= (float) (340 + ((second_long*340)/180));
// second_y= (float) (240 - ((second_lat*240)/180));
// second_x = (float) (6371 * Math.cos(second_lat) *
Math.cos(second_long));
// second_y = (float) (6371 * Math.cos(second_lat) *
Math.sin(second_long));
Location loc1 = new Location("");
// loc1.setLatitude(old_lat);
// loc1.setLongitude(old_long);
loc1.setLatitude(first_lat);
loc1.setLongitude(first_long);
Location loc2 = new Location("");
loc2.setLatitude(second_lat);
loc2.setLongitude(second_long);
distanceInMeters = loc1.distanceTo(loc2);
total_distance = total_distance + distanceInMeters;
drawline();
first_lat = second_lat;
first_long = second_long;
// first_x = (float) (100 + ((first_long * 100) / 180));
// first_y = (float) (100 - ((first_lat * 100) / 180));
first_x= (int) ((c_width/360.0) * (180 + first_long));
first_y = (int) ((c_height/180.0) * (90 - first_lat));
// first_x= (float) (340 + ((first_long*340)/180));
// first_y= (float) (240 - ((first_lat*240)/180));
// first_x = (float) (6371 * Math.cos(first_lat) *
Math.cos(first_long));
// first_y = (float) (6371 * Math.cos(first_lat) *
Math.sin(first_long));
//second_flag = 1;
} else {
}
second_flag = 1;
int x = (int) first_x;
int y = (int) first_y;
ar.add("Latitude: " + first_lat + " longitude: " + first_long + "\n
x : " + x + " y : " + y + " Distance = " + total_distance + " \n");
// textView.setText(ar.toString());
Log.d("Background Location ", "::::***********Latitude: " +
location.getLatitude() + " Longitude: " + location.getLongitude());
}catch (Exception e){
Toast.makeText(getBaseContext(),"Error="+e.getMessage(),
Toast.LENGTH_LONG).show();
Log.e("ERRROR","ERRRORR ="+e.getMessage());
}
}
private void RequestLocationUpdates() {
LocationServices.FusedLocationApi.requestLocationUpdates(mGoogleApiClient,
mLocationRequest, this); //getting error here..for casting..!
}
@Override
public void onConnectionSuspended(int i) {
Log.i(TAG, "Connection suspended");
mGoogleApiClient.connect();
}
@Override
public void onPointerCaptureChanged(boolean hasCapture) {
}
@Override
public void onConnectionFailed(ConnectionResult connectionResult) {
}
public void drawline(){
Path p = new Path();
float radius = (float) 5;
canvas.drawCircle(second_x, second_y, radius, paint_circle);
p.moveTo(first_x, first_y);
p.lineTo(second_x, second_y);
canvas.drawPath(p, paint);
mImageView.setImageBitmap(bitmap);
}
您还可以使用python glob模块以linux方式搜索文件：
regex = re.compile('feedback.{0,3}report.*\.xlsx?', flags=re.IGNORECASE)
答案 1 :(得分：1)
您的正则表达式几乎可以接受，但是开头和结尾部分不能正确匹配，因为示例中带有下划线。我不确定这些数据对您的实际数据的代表性如何，但要与您的数据相匹配，您将需要：
regex = re.compile(r"[a-zA-Z0-0\_\-\s]*(feedback)[\s\_\-](report)[a-zA-Z0-0\_\-\s]*.xlsx",
flags = re.IGNORECASE)
您可能要注意的另一件事是，确保您实际上只使用文件名而不是文件路径，因为在这种情况下，您将不得不担心\和{{1 }}个字符。另请注意，我只匹配我发现您丢失的确切字符。您可能要尝试
/但是，同样，我不确定您的数据实际上是什么样的。希望这会有所帮助
答案 2 :(得分：1)
这将起作用：
re.search("(feedback)(.*?|\s)(report)",string,re.IGNORECASE)
在以下输入列表中使用代码对其进行了测试
import re
a=["ZSS Project_JKIAL-SA_FEEDBACK_REPORT_Jan 29th 2015.xlsx",
"ZL-SA_feedback report_012844.xlsx",
"ASARanem-SA_Feedback Report_012844.xlsx",
"some report",
"feedback-report"]
for i in a:
print(re.search("(feedback)(.*?|\s)(report)",i,re.IGNORECASE))
OP期望的相同输出是：
<_sre.SRE_Match object; span=(21, 36), match='FEEDBACK_REPORT'>
<_sre.SRE_Match object; span=(6, 21), match='feedback report'>
<_sre.SRE_Match object; span=(12, 27), match='Feedback Report'>
None
<_sre.SRE_Match object; span=(0, 15), match='feedback-report'>
答案 3 :(得分：0)
您可以只使用如下所示的字符串方法吗？
dbo.Score还有
com.google.gms.googleservices.GoogleServicesPlugin.config.disableVersionCheck = true给你类似的东西
'feedbackreport' in name.replace('_', '').replace(' ', '').lower()
如果还有更多可能引起问题的字符，例如name.endswith('.xlsx')
，那么您还可以使用快速功能删除不良字符：
fileList = [
'ZSS Project_JKIAL-SA_FEEDBACK_REPORT_Jan 29th 2015.xlsx',
'ZL-SA_feedback report_012844.xlsx',
'ASARanem-SA_Feedback Report_012844.xlsx'
]
fileNames = [name for name in fileList
if ('feedbackreport' in name.replace('_', '').replace(' ', '').lower()
and name.endswith('.xlsx'))]
将if语句的适当部分修改为：
-答案 4 :(得分：0)
我根据您的所有建议将此字符串用作我的字符串。在99％的情况下，这对我都有效。
regex = re.compile(r"[a-zA-Z0-9\_\-\s]*(feedback)(\s|\_)(report)s?[a-zA-Z0-9\_\-\s]*.xlsx",flags = re.IGNORECASE)