How to convert text without a header to excelHere are a few ways to convert unheaded txts to excel:
* * 1. Use excel (excel 2010 as an example)**
1. Firstly, the TXTL text data was separated. The available separating characters included spaces, tabs, commas, and semi-colons. After separating, the document was saved.
2. Open a blank excel workbook, switch to the "Data" tab, and click the "From Text" command in the "Get External Data" group.
3. In the "import text file" window that popped up, select the TMT file that you want to import, and then click the "import" button.
4. In the "Text import wizard-step 1, total of 3" dialog box, the default raw data type, click the "Next" button.
5. In the "Text import wizard-step 2 of 3" dialog box, check all available separating symbols and click the "Next" button.
6. In the dialog box of "Text import wizard-step 3 of 3", click the "Finish" button in the default column data format.
7. The "import data" dialog box would pop up. The default location of the data was the first row and first column of the existing sheet. It could be modified according to the requirements, and then click the "OK" button. After that, he could manually adjust the possible data locations.
* * 2. Use the java-based code (sample code is below)**
1. First, set the path of the read txt file (e.g.`String txtFilepath ="C: " Users "" wmy"Downloads "" a.txt ";;;;), the path of the generated excel file (e.g.` String excelFilepath =" C: "Users""wmy" Desktop"a.xls";;;;), and the format of the code (e.g.`String decoding ="utf-8";;;).
2. Create related classes and methods in the code, for example:
```java
package com.qihoo.dw.utils;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.InputStreamReader;
import jxl.Workbook;
import jxl.format.UnderlineStyle;
import jxl.write.Label;
import jxl.write.WritableCellFormat;
import jxl.write.WritableFont;
import jxl.write.WritableSheet;
import jxl.write.WritableWorkbook;
public class ExcelDemo {
public static void main(String argv[]) {
readAndWrite(txtFilePath, excelFilePath, encoding);
}
public static void readAndWrite(String filePath, String excelFilePath, String encoding) {
try {
File file = new File(filePath);
File tempFile = new File(excelFilePath);
if (! file.isFile() ||! file.exists()) {
System. out. print ("Unable to find the specified file ");
}
InputStreamReader read = new InputStreamReader(new FileInputStream(file), encoding);
BufferedReader bufferedReader = new BufferedReader(read);
WritableWorkbook workbook = Workbook.createWorkbook(tempFile);
WritableSheet sheet = workbook.createSheet("Sheet1", 0);
//Set the font to Song, 11
Writeablefont headerfont = new Writeablefont (Writeablefont. createfont ("Song Style "), 11, Writeablefont. NO_BOLD, false, UnderlineStyle. NO_END, jxl. format. Colour. Black);
WritableCellFormat headerFormat = new WritableCellFormat(headerFont);
String lineTxt = null;
int i = 0;
while ((lineTxt = bufferedReader.readLine())!= null) {
String[] list = lineTxt.split("\t");
for (int f = 0; f < list.length; f++) {
sheet.addCell(new Label(f, i, list[f], headerFormat));
}
i++;
//Check if the content is blank. If it is, change the line.
if ("\\r".equals(lineTxt)) {
continue;
}
}
workbook.write();
workbook.close();
read.close();
} catch (Exception e) {
System. out. print ("There was an error in reading the file content ");
e.printStackTrace();
}
}
}
```
3. In the code,`split ("\t ")` is divided according to the tab character, or it can be changed to other separating characters according to the actual situation. After running the code, you can convert the txt-file into an excel file.
* * 3. Use Python's pandas library (sample code is below)**
```python
import pandas as pd
#Assuming that the txtfile name is test.txt. Read the contents of the txtfile. D + means only the digital part is extracted. header = None means no header. The code is utf-8.
data = pd.read_csv('test.txt', sep='\s+', engine='python', dtype='D+', header=None)
#Write the data to an excel file. Here, assume that the excel file is named result. xlsx.
data.to_excel('result.xlsx', index=False, header=False)
```
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2 answers
2024-11-15 20:00
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