Try using repr
>>> import numpy as np
>>> points = np.array([[-468.927, -11.299, 76.271, -536.723],
... [-429.379, -694.915, -214.689, 745.763],
... [ 0., 0., 0., 0. ]])
>>> print(repr(points))
array([[-468.927, -11.299, 76.271, -536.723],
[-429.379, -694.915, -214.689, 745.763],
[ 0. , 0. , 0. , 0. ]])
If you plan on using large numpy arrays, set np.set_printoptions(threshold=np.nan) first. Without it, the array representation will be truncated after about 1000 entries (by default).
>>> arr = np.arange(1001)
>>> print(repr(arr))
array([ 0, 1, 2, ..., 998, 999, 1000])
Of course, if you have arrays that large, this starts to become less useful and you should probably analyze the data some way other than just looking at it and there are better ways of persisting a numpy array than saving it’s repr to a file…