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import numpy as np

# funcao min obtem menor valor do array

matrix = np.array([[1, 2, 3], [4, 5, 6], [-2, 7, 10]])

minimo = np.min(matrix)

print(minimo) # print -2

# funcao max obtem maior valor do array

maximo = np.max(matrix)

print(maximo) # print 10

# function sum todos os elementos do array

matrix = np.array([[1, 2, 3], [4, 5, 6]])

soma = np.sum(matrix)

print(soma) # print 21

# function mean obtem a media do array

matrix = np.array([[1, 2, 3], [4, 5, 6]])

media = np.mean(matrix)

print(media) # print 21

# function std obtem o desvio padrao

matrix = np.array([[1, 2, 3], [4, 5, 6]])

desvio = np.std(matrix)

print(desvio) # 1.707825127659933

# function median obtem a mediana

matrix = np.array([[1, 2, 3], [4, 5, 6]])

mediana = np.median(matrix)

print(mediana) # 3.5