I have a numpy array, for example:
points = np.array([[-468.927, -11.299, 76.271, -536.723],
[-429.379, -694.915, -214.689, 745.763],
The function you are looking for is np.set_string_function. source
What this function does is let you override the default __str__ or __repr__ functions for the numpy objects. If you set the repr flag to True, the __repr__ function will be overriden with your custom function. Likewise, if you set repr=False, the __str__ function will be overriden. Since print calls the __str__ function of the object, we need to set repr=False.
For example:
np.set_string_function(lambda x: repr(x), repr=False)
x = np.arange(5)
print(x)
will print the output
array([0, 1, 2, 3, 4])
A more aesthetically pleasing version is
np.set_string_function(lambda x: repr(x).replace('(', '').replace(')', '').replace('array', '').replace(" ", ' ') , repr=False)
print(np.eye(3))
which gives
[[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]]
Hope this answers your question.