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I did the following to solve this: 1) after solution and appending to lists, I stack lists into matrix 2) convert type from object to 'float64' 3) start a conditional to convert all terms with imag(x) != 0 into nan 4) do a mask to eliminate all rows(axis=1) that contains any term that gives true to isnan()