随笔分类 - numpy
摘要：import numpy as np a = np.arange(4) print(a) b = a c = a d = b print(b is a) # True print(c is a) # True print(d is a) # True a[0] = 11 print(a, b, c,
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摘要：import numpy as np a = np.arange(12).reshape((3, 4)) print(a) # 第一种分割 split 进行均匀分割 print(np.split(a, 3, axis=0)) # 横向分割3份 print(np.split(a, 4, axis=1)
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摘要：import numpy as np a = np.array([1, 2, 3]) b = np.array([9, 8, 7]) # 对a b进行垂直合并 vsstack(vertical stack) c = np.vstack((a, b)) print(c.shape) print(c)
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摘要：import numpy as np a = np.array([1, 2, 3, 4]) b = np.array([0, -1, 1, 2]) # 判断数列a 中的元素是否为3 print(a == 3) # [False False True False] print(a is 3) # Fa
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摘要：import numpy as np # 使用np.array创建array array = np.array([[1, 2, 3], [4, 7, 9]]) # array.ndim() 判断array是几维的(此array为2维) print('array.ndim:', array.ndim)
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