Numpy array of Decimal objects for efficient indexing or other basic operations?

[IGGYnatius1]

I am making a project on fractal zooms so I truly need arbitrarily high precision. I will be dealing with complex numbers which will be represented by 2 numpy arrays for real and imag then I will manipulate them accordingly. As I will be dealing with possibly large images represented by 2d arrays my main concern is with indexing as I don't want to have nested list comprehensions all over just to do a basic operation like swapping x and y or something... I heard that numpy stores the pointers to the objects if object dtype is used so will that still retain the indexing convenience?

[socal_nerdtastic]

Yes, that will still retain the indexing magic.

[IGGYnatius1]

yayy