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I am using numpy.genfromtxt and the usecols parameter allows filtering out columns (by non-inclusion). For a lengthy list of columns it is not ideal to explicitly mention every single one - given that only one column need not be included.

If the sequence were instead a list then we could use

  usecols=[1:]

However that is not possible for a sequence - which afaict needs to be like 

 usecols=(1,2,3,4, .. and many many more ..)

Here is the specific invocation that is being attempted:

data = np.genfromtxt(path, delimiter=',',skip_header= 1,usecols=[1:])

That does not compile due to the invalid attempt to use the slicing syntax on the sequence. is there any alternative supported by sequences?

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  • Possible duplicate of Pandas usecols all except last Commented May 8, 2019 at 2:20
  • maybe - but the answer given below was not included there and it's useful Commented May 8, 2019 at 2:26

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Generate the complete column list with something like [i for i in range(n)] and then remove the desired element with remove() and pass this filtered list to the usecols.

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4 Comments

that's helpful: can you please add this specific code to your answer indats = np.genfromtxt(path, delimiter=',',skip_header= 1,usecols=(x for i,x in enumerate(range(18)) if i!=0))
No need for a list comprehension. range already does what you want: usecols=tuple(range(1,18))
Also, for future reference, there's no point using enumerate on a one-argument range - i and xwill always be the same.
@Tomothy32 I am basically unfamiliar with python sequences and their relation to .. well .. anything.. Just learnt they appear to be interchangeable with tuples

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