Sie können Ihre Daten und erhalten die maximale Feldbreite durchlaufen und sie dann alles auszurichten verwenden:
data = [
['tabby, tabby cat', 281, 0.312437],
['tiger cat', 282, 0.237971],
['Egyption cat', 285, 0.123873],
['red fox, Vulpes vulpes', 277, 0.100757],
['lynx, catamount', 287, 0.709574]
]
max_class_width = len('Predicted Classes')
max_index_width = len('Class Index')
max_proba_width = len('Probability')
for entry in data:
max_class_width = max(max_class_width, len(entry[0]))
max_index_width = max(max_index_width, len(str(entry[1])))
max_proba_width = max(max_proba_width, len(str(entry[2])))
print "{1:<{0}s} {3:<{2}s} {5:<{4}}".format(max_class_width, 'Predicted Classes',
max_index_width, 'Class Index',
max_proba_width, 'Probability')
for entry in data:
print "{1:<{0}s} {3:<{2}s} {5:<{4}}".format(max_class_width, entry[0],
max_index_width, str(entry[1]),
max_proba_width, str(entry[2]))
Ausgabe
Predicted Classes Class Index Probability
tabby, tabby cat 281 0.312437
tiger cat 282 0.237971
Egyption cat 285 0.123873
red fox, Vulpes vulpes 277 0.100757
lynx, catamount 287 0.709574
Sie können auch printf
Stil Formatierung verwenden:
print "%-*s %-*s %-*s" % (max_class_width, 'Predicted Classes',
max_index_width, 'Class Index',
max_proba_width, 'Probability')
for entry in data:
print "%-*s %-*s %-*s" % (max_class_width, entry[0],
max_index_width, str(entry[1]),
max_proba_width, str(entry[2]))