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Python 填充现有阵列的最快方法_Python_Arrays_Performance_Numpy_Slice - Fatal编程技术网

Python 填充现有阵列的最快方法

Python 填充现有阵列的最快方法,python,arrays,performance,numpy,slice,Python,Arrays,Performance,Numpy,Slice,我想在两个索引之间填充一个数组(np.zeros(2D)) for row in matrix: # Find index start = np.searchsorted(out[:,0], row[3]) end = np.searchsorted(out[:,0], row[4]) # Populate out[start:end, 1] += 1 out[end:,

我想在两个索引之间填充一个数组(np.zeros(2D))

    for row in matrix:

         # Find index
         start = np.searchsorted(out[:,0], row[3])
         end   = np.searchsorted(out[:,0], row[4])

         # Populate
         out[start:end, 1] += 1
         out[end:, 2] += row[8]

有什么方法比切片更快吗?

在这个维度上工作效率不高。考虑在临时数组中复制数据,以便搜索的维度是连续的且相对较小的(如果可能的话)。