matrix - How to tell python to not round the numbers? -


i'm using python , have matrix 1º column has names , 2º column has confidence. matrix called top_list. want transform each column in 1 list did as:

classes = matrix(top_list).transpose()[0].geta()[0]  # top class name  probs = matrix(top_list).transpose()[1].geta()[0]    # confidence

the problem confidences appear like this numbers rounded.

how can keep decimal places?

update:

my code here:

classes = matrix(top_list).transpose()[0].geta()[0]  # top class name     classes = np.delete(classes, [0, 1, 2, 3, 4])        # delete first 5 elements     probs = matrix(top_list).transpose()[1].geta()[0]    # top class probability     probs = np.delete(probs, [0, 1, 2, 3, 4])            # delete first 5 elements     #print classes     #print probs      f = open('top_5_class_labels.txt', 'a')     f.write('\n\n\n')     f.write('top 5 class labels [final solution] \n\n')     f.write("{: <50} {: <15} \n\n".format('predicted classes', 'probability'))      x in range(0, 5):         idx = max(range(len(probs)), key=lambda i: probs[i])         #print classes[idx]         #print probs[idx]         f.write("{: <50} {: <15} \n".format(classes[idx], probs[idx]))         probs[idx] = 0     f.close()


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