I am wondering how to do the following more cleanly and in the general case. I'm constructing the array final_array_transpose
with elements from another array, imb_data (currently has length 5 but can have any length). Here's what I have for the len=5
case.
final_array_transpose = np.array([
imb_data[0].copy(),
imb_data[1].copy(),
imb_data[2].copy(),
imb_data[3].copy(),
imb_data[4].copy(),
bin_label_str,
range(len(imb_data[0])),
bin_label_str,
bin_label,
bin_label],
dtype = object)
(Ignore everything past imb_data[4].copy()
)
How do I generalize this for any length of imb_data
(imb_data is a 2D array)?
Thanks!
Copy the whole array and use unpacking:
final_array_transpose = np.array([
*imb_data.copy(),
bin_label_str,
range(len(imb_data[0])),
bin_label_str,
bin_label,
bin_label],
dtype = object)
If you want the entire array in imb_data
.