command调用arraypath画出的效果跟绘图环境画出的不一样
各位大咖，求救个问题。我在lisp里用(setq en(car(entsel"\n选择点钢筋")))(setq en2(car(entsel"\n选择线钢筋")))(command "_arraypath"en "" en2 30 520 "")
画出来的效果data:image/png;base64,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是这样的，不知道是什么原因。
还有command调用arraypath后命令选型是这样的
data:image/png;base64,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
跟cad环境的命令选项也不一样
data:image/png;base64,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
为什么不显示图片啊 看你的描述，是没有在调用command前关闭OSnap导致结果不符预期。
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