Readline include conditional statement to skip first column and first header if it matches a file

DDM 0
Viewed 32

based on the syntax below, is there a way I can include a if-else statement if the filename matches (e.g. Data/testfile.csv) and I need to skip the first row and first column to read the file?"

    if len(sys.argv) != 2:
        print("Usage: python test.py <filename>")
        sys.exit(1)
    inf = open(sys.argv[1])
    data = np.array(
        [list(map(float, s.strip().split(","))) for s in inf.readlines()]
    )
readline csv if-statement python-3.x
2 Answers

Try something like this:

    if len(sys.argv) != 2:
        print("Usage: python test.py <filename>")
        sys.exit(1)
    with open(sys.argv[1]) as inf:
        skip_columns = int(inf == 'Data/testfile.csv')  # or another condition
        skip_rows = int(inf == 'Data/testfile.csv')  # or another condition
        data = np.array(
            [list(map(float, s.strip().split(",")[skip_columns:]))
             for s in inf.readlines()[skip_rows:]]
        )

By the way, numpy has loadtxt and genfromtxt functions. They have skiprows/skip_header and usecols parameters and might be of help.

StSav0120

Thanks @StSav012 for the pointer. It led me to this solution as shown below.

if __name__ == "__main__":                                                                                            
    if len(sys.argv) != 2:
        print("Usage: python testlearner.py <filename>")
        sys.exit(1)
    inf = open(sys.argv[1])
    if (sys.argv[1] == 'Data/testfile.csv'):
        data = np.array(
            [list(map(float, s.strip().split(",")[1:])) for s in inf.readlines()[1:]]
        )
    else:
        data = np.array(
            [list(map(float, s.strip().split(","))) for s in inf.readlines()]
        )
DDM0
Related