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Home/ Questions/Q 9237235
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Editorial Team
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Editorial Team
Asked: June 18, 20262026-06-18T07:29:27+00:00 2026-06-18T07:29:27+00:00

I have a file with headers containing ‘#’ then the data which is comma

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I have a file with headers containing ‘#’ then the data which is comma separated. i.e

#blah
#blah
#blah 
1, 2, 3, 4, 5, 6
7, 8, 9,10,11,12
...

I want to be able to skip the # and turn the data into an array (histograms over the columns). This reads it in.

filename = 'input.txt'
listin = []
for line in open(filename,'r'):
    li=line.strip()
    if not li.startswith("#"):
        line = line.partition('#')[0]
        #line = line.rstrip()
        listin.append(line.split(',')) 

data = numpy.asarray(listin)
SubData=data[:,0]

hist,nbins = np.histogram(SubData)

Error:
TypeError: cannot perform reduce with flexible type
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  1. Editorial Team
    Editorial Team
    2026-06-18T07:29:29+00:00Added an answer on June 18, 2026 at 7:29 am

    You need to convert your data to a numeric type. Your array contains strings.

    listin.append([int(token) for token in line.split(',')])
    

    Also, you need to rstrip each line to remove the line break character.

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