python-将numpy数组转换为json

为了补充Andrii的答案,我相信您还可以像这样解包数组,使其稍微干净一点:

[{'section': i+1, 'x': x, 'y': y} for i, [x, y] in enumerate(myarray) if i in [2, 6, 9]]

如果输入数组是 arr 我相信你想要这样的东西:

[{'section': i+1, 'x': x[0], 'y': x[1]} for i, x in enumerate(arr) if i in [2, 6, 9]]

[2,6,9]是您的[3,7,10]位置,仅从0开始。

pandas 提供了一个方便的解决方案:

import pandas as pd
import numpy as np

df=pd.DataFrame(myarray, columns=["x", "y"])
df["Section"]=df.index

df.to_json(orient="records")

这就产生了:

 '[{"x":148,"y":362,"Section":0},{"x":153,"y":403,"Section":1},
{"x":163,"y":443,"Section":2},{"x":172,"y":483,"Section":3},
{"x":186,"y":521,"Section":4},{"x":210,"y":553,"Section":5},
{"x":239,"y":581,"Section":6},{"x":273,"y":604,"Section":7},
{"x":314,"y":611,"Section":8},{"x":353,"y":602,"Section":9}]'

解决方案有点不同,但您可以很容易地在纯Python中找到将其转换为结构的方法。