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● 비교연산자 # 비교연산자 → Boolean값arr1= np.array([[1,2,3], [4,5,6]])arr2= np.array([[1,0,3], [4,-2,9]])print(arr1==arr2) #각 원소 비교print(arr1>arr2)print(np.array_equal(arr1,arr2)) #배열 전체가 동일한지● 삼각함수#삼각함수arr= np.array([[1,2,3], [4,5,6]])print(np.sin(arr)) # sinprint(np.cos(arr)) # cosprint(np.tan(arr)) # tanprint(np.pi) # pi● 브로드캐스팅 arr1= np.array([[0,0,0], ..

■ np.random.normal() ⇒ 정규분포import numpy as npimport matplotlib.pyplot as plt# np.random.normal()arr= np.random.normal(0, 1, 10) #원소 10개print(arr)arr= np.random.normal(0,1,(2,3)) #2*3print(arr)arr= np.random.normal(0,1,100)plt.hist(arr, bins=100)plt.show()■ np.random.rand()#np.random.rand()arr= np.random.rand(1000)plt.hist(arr, bins= 100)plt.show()  ■ np.random.randn()#np.random.randn()arr =np.ra..