我有一个两列的numpy数组。我想遍历第二列的每一行，并取每组2个数字（9.6-0、19.13-9.6等）之间的差。如果差异> 15，则我想为两列都插入一行0。我真的只需要以第一列中的值作为结束（我只需要第二列来确定将0放置在何处），所以如果将它们拆分起来比较容易，那就很好了。
这是我的输入数组：
[[0.00 0.00]
[1.85 9.60]
[2.73 19.13]
[0.30 28.70]
[2.64 38.25]
[2.29 47.77]
[2.01 57.28]
[2.61 66.82]
[2.20 76.33]
[2.49 85.85]
[2.55 104.90]
[2.65 114.47]
[1.79 123.98]
[2.86 133.55]]
它应该变成：
[[0.00 0.00]
[1.85 9.60]
[2.73 19.13]
[0.30 28.70]
[2.64 38.25]
[2.29 47.77]
[2.01 57.28]
[2.61 66.82]
[2.20 76.33]
[2.49 85.85]
[0.00 0.00]
[2.55 104.90]
[2.65 114.47]
[1.79 123.98]
[2.86 133.55]]
假设A作为输入数组，这是一种基于零初始化的矢量化方法-
# Get indices at which such diff>15 occur
cut_idx = np.where(np.diff(A[:,1]) > 15)[0]
# Initiaize output array
out = np.zeros((A.shape[0]+len(cut_idx),2),dtype=A.dtype)
# Get row indices in the output array at which rows from A are to be inserted.
# In other words, avoid rows to be kept as zeros. Finally, insert rows from A.
idx = ~np.in1d(np.arange(out.shape[0]),cut_idx + np.arange(1,len(cut_idx)+1))
out[idx] = A
样本输入，输出-
In [50]: A # Different from the one posted in question to show variety
Out[50]:
array([[ 0. , 0. ],
[ 1.85, 0.6 ],
[ 2.73, 19.13],
[ 2.2 , 76.33],
[ 2.49, 85.85],
[ 2.55, 104.9 ],
[ 2.65, 114.47],
[ 1.79, 163.98],
[ 2.86, 169.55]])
In [51]: out
Out[51]:
array([[ 0. , 0. ],
[ 1.85, 0.6 ],
[ 0. , 0. ],
[ 2.73, 19.13],
[ 0. , 0. ],
[ 2.2 , 76.33],
[ 2.49, 85.85],
[ 0. , 0. ],
[ 2.55, 104.9 ],
[ 2.65, 114.47],
[ 0. , 0. ],
[ 1.79, 163.98],
[ 2.86, 169.55]])
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我来说两句