importtime# 创建一个大型的包含 Python 对象的数组large_data=np.array([i+0.5foriinrange(1000000)],dtype=object)# 测试 Python 代码的性能start_time=time.time()result=sum(large_data)print(f"Python 代码总和:{result}, 耗时:{time.time()-start_time:.2f}秒")# 测试 Cython 代码的性能start_time=...
importtime# 创建一个大型结构化数组large_data=np.array([(i,f'Name{i}',20+i%10)foriinrange(1000000)],dtype=[('id',int),('name','U10'),('age',int)])# 创建 recarrayrec_large_data=large_data.view(np.recarray)# 测试结构化数组的访问性能start_time=time.time()foriinrange(1000000):...
Array of non-empty indices in numberArray: [[0] [3] [4]] Array of non-empty indices in stringArray: [[0] [1] [3]] Example 2: numpy.argwhere() With 2-D Arrays import numpy as np array = np.array([[1, 0, 3], [2, 0, 0], [0, 4, 5]]) # return indices of elemen...
apply_along_axis() Return Value Theapply_along_axis()method returns the resultant array with functions applied. Example 1: Apply a Function That Returns a Single Value importnumpyasnp# create a 2D arrayarr = np.array([[1,2,3], [4,5,6], [7,8,9]])# define a function to return t...
代码中的场景如下：准备写个备份数据的脚本,虽然linux下有zip等软件,但是python有自带zipfile类库,实现...
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Syntax error in textmermaid version 11.4.1 2.19.1 BLAS与LAPACK简介 2.19.1.1 什么是BLAS和LAPACK BLAS(Basic Linear Algebra Subprograms)是一组低级别的线性代数操作的优化库,包括向量、矩阵的加法、乘法等基本操作。LAPACK(Linear Algebra Package)是一组高级别的线性代数操作的优化库,包括矩阵分解、求解线性方程...
# calculate the hypotenuse lengths using numpy.hypot() and # store the results in the 'result' array np.hypot(side1, side2, out=result, where=(side1 > 4)) print("Hypotenuse lengths:") print(result) Run Code Output Hypotenuse lengths: [ 0. 13. 17.] Here, out=result specifies that...
The numpy.matmul() function is used to perform matrix multiplication in NumPy. The matmul() method is used to perform matrix multiplication in NumPy. Example import numpy as np # create two matrices matrix1 = np.array([[1, 2], [3, 4]]) matrix2 = np.array