![]() Once you run the code in Python (adjusted to your paths), you’ll get the CSV file at your specified location. Read_file.to_csv (r'C:\Users\Ron\Desktop\Test\New_Products.csv', index=None) Excel will remove all the leading zeros in the data. ![]() Read_file = pd.read_csv (r'C:\Users\Ron\Desktop\Test\Product_List.txt') When a comma delimited file (.csv extension) is opened outright, it automatically opens in Excel and. Step 2: Click on the Save button, and the file will be saved in Unicode. Step 1: Once again, open Save As window, and this time, choose the file format as Unicode Text (.Txt) format. So this is the complete code to convert the text file to CSV for our example (note that you’ll need to modify the paths to reflect the location where the files are stored on your computer): import pandas as pd Before we save the data in the CSV file format, we need to first save as Unicode Text (.txt), then convert to CSV file, follow the below steps.
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