I have a file structured as such: IID SuperPops FGXXXXXXXX R6 FGXXXXXXXX R12 Containing 524123 lines. I need to read the first column as an array: len(np.loadtxt('foo.txt',usecols=0,dtype=str)) 524123 But if i also try to skip the header all of a sudden 10 lines go missing: len(np.loadtxt('foo.txt',usecols=0,dtype=str,skiprows=1)) 524112 This does not happen if i change type though: len(np.loadtxt('foo.txt',usecols=0,dtype='<U20',skiprows=1)) 524122 len(np.loadtxt('foo.txt',usecols=0,dtype='<U10',skiprows=1)) 524122 The 10 missing entries are all of length 10: [len(elem) for elem in set(np.loadtxt('foo.txt',usecols=0,dtype='<U20',skiprows=1)) - set(np.loadtxt('foo.txt',usecols=0,dtype=str,skiprows=1))] [10, 10, 10, 10, 10, 10, 10, 10, 10, 10] What could be the reason and why is it specifically triggered by skiprows? Continue reading...