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Editorial Team
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Editorial Team
Asked: May 22, 20262026-05-22T21:48:35+00:00 2026-05-22T21:48:35+00:00

I am having some difficulty with importing data from a .csv file. I am

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I am having some difficulty with importing data from a .csv file. I am simply trying to import the data and print the max value. Here is my code:

>>> x, y = numpy.loadtxt('data.csv', delimiter=',', usecols=(4,5), unpack=True)
>>> print 'max =', max(x)

When I enter the above code, I get the following error message:

TypeError: 'numpy.float64' object is not iterable

I tried to change the data type using the dtype=int argument, but it threw the same error. Does anyone have any idea what could be the problem? Thanks in advance for your help!

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  1. Editorial Team
    Editorial Team
    2026-05-22T21:48:36+00:00Added an answer on May 22, 2026 at 9:48 pm

    The output of loadtxt() is unfortunately a bit inconistent: If there is only one line in your file, x and y will be scalars, but for more than one line, they will be arrays. The Python built-in max() only works for iterables, so it only works in the latter case.

    Using the Python built-in max() function instead of numpy.max() is inefficient for NumPy arrays anyway. So a solution is to use

    print x.max()
    

    or

    print numpy.max(x)
    

    in the second line.

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