TypeError: 'list' object cannot be interpreted as an integer Python NumPy

Question

Is there any way to turn a list of strings into a numpy.ndarray?. Because I tried this code:

All  = np.ndarray([str(necessary_lines).split(',')])

Which gives this error:

Traceback (most recent call last):
  File "/Users/username/Desktop/Coding/Python/somePythonProgram.py", line 47, in <module>
    print(parseCSV(file))
  File "/Users/username/Desktop/Coding/Python/somePythonProgram.py", line 34, in somePythonProgram
    All  = np.ndarray([str(necessary_lines).split(',')])
TypeError: 'list' object cannot be interpreted as an integer

Or is it that you can't turn a list of strings into a numpy array?

Why the [,] in [str(necessary_lines).split(',')]? .split() already returns a list, you don't need to stick it into another. In any event, please provide a minimal reproducible example. We shouldn't need to guess about what your data is. — John Coleman
– John Coleman, Commented Jun 16, 2020 at 17:21
Necessary_lines is a list of filtered lines of a CSV document (filtered as in the blank lines are removed). But then I want the csv values themself, seperated in their own array(to represent each line). — theX
– theX, Commented Jun 16, 2020 at 17:24

theX · Accepted Answer · 2020-10-07 02:30:11Z

2

You should use np.array instead of np.ndarray. Check out the link. Also, you can use np.asarray().

edited Oct 7, 2020 at 2:30

theX

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answered Jun 16, 2020 at 17:25

user12981435

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2 Comments

user12981435 Over a year ago

If my answer solver your first problem, please upvote and then post your new problem.

theX Over a year ago

Don't worry, I finished the program. It's now working perfectly. Thanks for the help!

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