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import numpy as np
from collections import Counter
array_size = int(input())
array_numbers = list(map(int, input().split()))
mean = np.mean(array_numbers)
median = np.median(array_numbers)
counts= Counter(array_numbers)
max_count= max(counts.values())
modes= [number for number, count in counts.items() if count == max_count]
mode = min(modes)
print(mean) print(median) print(mode)
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Day 0: Mean, Median, and Mode
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python
import numpy as np
from collections import Counter
array_size = int(input())
array_numbers = list(map(int, input().split()))
mean = np.mean(array_numbers)
median = np.median(array_numbers)
counts= Counter(array_numbers)
max_count= max(counts.values())
modes= [number for number, count in counts.items() if count == max_count]
mode = min(modes)
print(mean) print(median) print(mode)