随笔分类 - Numpy
摘要：import numpy as np #行合并 a = np.arange(6).reshape(2,3) b = np.random.randint(10,20,size=(4,3)) print(a) print(b) print('*******************************
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摘要：import numpy as np arr = np.arange(5) print(arr) print(arr.shape) #method1 print(arr[np.newaxis,:]) print(arr[np.newaxis,:].shape) print(arr[:,np.newa
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摘要：import numpy as np arr = np.arange(12).reshape(3,4) print(arr) print(np.sum(arr)) print(np.prod(arr)) print(np.cumsum(arr)) print(np.cumprod(arr)) pri
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摘要：import numpy as np np.random.seed(666) print(np.random.rand(5)) print(np.random.rand(3,4)) print(np.random.rand(2,3,4)) print('***********************
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摘要：import numpy as np #基础索引 x1 = np.arange(10) x2 = np.arange(20).reshape(4,5) print(x1) print(' ') print(x1[0],x1[9],x1[-1]) print(' ') print(x1[2:4]) p
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摘要：import numpy as np x1 = np.array([1,2,3,4,5,6,7,8]) x2 = np.array( [ [1,2,3,4], [5,6,7,8] ]) #返回元组，表维度 print(x1.shape) print(x2.shape) #返回数字，表维度 print
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摘要：import numpy as np from timeit import timeit def python_sum(n): a=[i**2 for i in range(n)] b=[i**3 for i in range(n)] c=[] for i in range(n): c.append
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