IChoose 发表于 2018-10-10 19:18:41

python中类属性问题

小白求救:如下图,在class Piont中的属性(红框部分),A实例化的时候,被调用并打印了,但是B在实例化的时候,并没有打印,请教大神们,是什么原因
data:image/png;base64,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

页: [1]
查看完整版本: python中类属性问题