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샘플링 함수들 import numpy as np np.random.uniform(하한, 상한, 형태) Docstring: uniform(low=0.0, high=1.0, size=None) Draw samples from a uniform distribution. Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform. print( np.random.uniform(0, 1, 5) ) print( np.r..

여러가지 ndarray 생성 함수들 import numpy as np np.arange() Docstring: arange([start,] stop[, step,], dtype=None, *, like=None) print( np.arange(0,10) ) print( np.arange(0,5, 0.5) ) # 리스트와 다른 부분 print( np.arange(0,10,3) ) print( np.arange(0,10,-2) ) print( np.arange(10,0,-2) ) [0 1 2 3 4 5 6 7 8 9] [0. 0.5 1. 1.5 2. 2.5 3. 3.5 4. 4.5] [0 3 6 9] [] [10 8 6 4 2] np.zeros(), np.ones() Docstring: zeros(shape..