Java dynamically generates pollution rose diagram

1. Java dynamically generates Excel input files

Key code implementation:

// header data 
String[] header = {"index","stationName","stationTypeId","x","y","time","AQI","PM25","PM10","SO2" ,"NO2","CO","O3","PMI"}; 
//Site name time pressure (hpa) air temperature (℃) humidity (%) wind direction (deg) wind speed (m/s) precipitation (mm) Visibility (km) PM10 PM2.5 

//Declare a workbook 
HSSFWorkbook workbook = new HSSFWorkbook(); 
//Generate a form 
HSSFSheet sheet = workbook.createSheet("sheet1"); 

// Write to the header 
HSSFRow headrow = sheet. createRow(0); 
for (int i=0; i<header.length; i++) { 
    headrow.createCell(i).setCellValue(header[i]); 
} 

SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy/MM/dd HH :mm");
for (int i=0; i<datalist.size(); i++) {
    HSSFRow row = sheet.createRow(i+1);
    StationWithData data = datalist.get(i);
    row.createCell(0).setCellValue(i+1);
    row.createCell(1).setCellValue(data.getStationName());
    row.createCell(2).setCellValue(data.getStationTypeId());
    if (data.getLongitude() != null) {
        row.createCell(3).setCellValue(data.getLongitude().doubleValue());
    }
    if (data.getLatitude() != null) {
        row.createCell(4).setCellValue(data.getLatitude().doubleValue());
    }
    if (data.getMonitorTime() != null) {
        row.createCell(5).setCellValue(dateFormat.format(data.getMonitorTime()));
    }
    if (data.getAqi() != null) {
        row.createCell(6).setCellValue(data.getAqi().doubleValue());
    }
    if (data.getPm25() != null) {
        row.createCell(7).setCellValue(data.getPm25().doubleValue());
    }
    if (data.getPm10() != null) {
        row.createCell(8).setCellValue(data.getPm10().doubleValue());
    }
    if (data.getSo2() != null) {
        row.createCell(9).setCellValue(data.getSo2().doubleValue());
    }
    if (data.getNo2() != null) {
        row.createCell(10).setCellValue(data.getNo2().doubleValue());
    }
    if (data.getCo() != null) {
        row.createCell(11).setCellValue(data.getCo().doubleValue());
    }
    if (data.getO3() != null) {
        row.createCell(12).setCellValue(data.getO3().doubleValue());
    }
    if (data.getPmi() != null) {
        row.createCell(13).setCellValue(data.getPmi().doubleValue());
    }
}

try {
    //workbook将Excel写入到文件
    File file = new File(excelPath);
    if (!file.exists()) {
        boolean flag = file.mkdirs();
        System.out.println(flag);
    }
    SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHH");
    FileOutputStream os = new FileOutputStream(excelPath + "\\" + sdf.format(new Date()) + ".xls");
    workbook.write(os);

    //刷新缓冲
    os.flush();
    os.close();
    //this.execPython(scriptPath, pythonParam, pythonParam + File.separator + "wryt" + File.separator + "wrytexcel" + File.separator + sdf.format(new Date()) + ".xls");
    this.execPython(scriptPath, pythonParam, excelPath + File.separator + sdf.format(new Date()) + ".xls");
} catch(Exception e) {
    e.printStackTrace();
}

Two, write python code to achieve

3. Write java service code and call python to generate pollution rose diagram result file

4. Network call

5. Generate the results of the pollution rose diagram

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6. Visualization of the diffusion direction, orientation and concentration of pollutants within the display period integrated with GIS