[python/ํ์ด์ฌ] Numpy ๋ํ์ด (3)
๋ํ์ด(Numpy) 8. Subsetting, Slicing 8.1 Subsetting a array([5, 7, 9]) a[2] 9 8.2 Slicing a[0:2] array([5, 7]) b array([[1.5, 2. , 3. ], [4. , 5. , 6. ]]) b[0:2, 1] array([2., 5.]) c array([[[1.5, 2. , 3. ], [4. , 5. , 6. ]], [[3. , 2. , 1. ], [4. , 5. , 6. ]]]) c[1, :] array([[3., 2., 1.], [4., 5., 6.]]) #์ญ์ ์ ๋ ฌ a[::-1] array([9, 7, 5]) 8.3 Boolean indexing a array([5, 6, 9]) a[a (2, 3) #ํ์ด ๋ฐ๊พธ๊ธฐ i =..
2022. 8. 22.
[python/ํ์ด์ฌ] Numpy ๋ํ์ด (2)
๋ํ์ด(Numpy) 4. Inspecting your array import numpy as np a = np.array([1, 2, 3]) b = np.array([(1.5,2, 3), (4, 5, 6)], dtype=float) c = np.array([[(1.5, 2, 3), (4,5,6)], [(3,2,1), (4,5,6)]], dtype=float) e = np.full((2, 2), 7) f = np.eye(2) .shape : ๋ฐฐ์ด ๊ตฌ์กฐ ํ์ธ a.shape (3,) len() : ๋ฐฐ์ด์ ๊ธธ์ด ํ์ธ len(a) 3 b array([[1.5, 2. , 3. ], [4. , 5. , 6. ]]) ndim : ๋ฐฐ์ด ์ฐจ์ ํ์ธ b.ndim 2 e array([[7, 7], [7, 7]]) .size ..
2022. 8. 16.