Adding the header to a csv file

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隐瞒了意图╮
隐瞒了意图╮ 2021-01-26 20:21

I have a csv file with the dimensions 100*512 , I want to process it further in spark. The problem with the file is that it doesn\'t contain header i.e

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  • 2021-01-26 20:24

    Unix:

    cat header_file.csv data_file.csv > data_file.csv
    

    Windows:

    type header_file.csv data_file.csv > data_file.csv
    
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  • 2021-01-26 20:27

    Bit a old way ...

    Content of demo.csv before columns:

    4444,Drowsy,bit drowsy
    45888,Blurred see - hazy,little seeing vision
    45933,Excessive upper pain,pain problems
    112397013,air,agony
    76948002,pain,agony
    

    Content of xyz.txt :

    Col 1,Col 2,Col 3
    

    Code with comments inline

    #Open CSV file
    with open("demo.csv", "r+") as f:
        #Open file which has header
        with open("xyz.txt",'r') as fh:
            #Read header
            header = fh.read()
            #Read complete data of CSV file
            old = f.read()
            #Get cursor to start of file
            f.seek(0)
            #Write header and old data to file.
            f.write(header+ "\n" + old)
    

    Content of demo.csv:

    Col 1,Col 2,Col 3
    4444,Drowsy,bit drowsy
    45888,Blurred see - hazy,little seeing vision
    45933,Excessive upper pain,pain problems
    112397013,air,agony
    76948002,pain,agony
    
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  • First read your csv file:

    from pandas import read_csv      
    df = read_csv('test.csv')
    

    If there are two columns in your dataset(column a, and column b) use:

    df.columns = ['a', 'b']
    

    Write this new dataframe to csv

    df.to_csv('test_2.csv')
    
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  • 2021-01-26 20:31

    you can use it :

        import csv
    
        with open('names.csv', 'w') as csvfile:
            fieldnames = ['first_name', 'last_name']
            writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
    
            writer.writeheader()
            writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
            writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
            writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})
    
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