将2D numpy数组切片为1D数组

Question

I have a 2D numpy array, FilteredOutput , that has 2 columns and 10001 rows, though the number of rows is a variable.

I am trying to take the 2nd column of FilteredOutput and use it to populate a new 1D numpy array called timeSeriesArray using some code I found ):

timeSeriesArray = np.array(FilteredOutput[:,0])

But I am getting the following error message:

TypeError: list indices must be integers, not tuple

Why?

Answer 1

This is solved now. The problem was that I had not explicitly declared FilteredOutput to be a numpy array inside the function. I thought it had been declared as a numpy array outside the function, but the problem was solved when I added

FilteredOutput = np.array(FilteredOutput)

before

timeSeriesArray = np.array(FilteredOutput[:,0])

note: numpy is imported as np