panliang9 发表于 2024-11-4 15:50
改线型比例用这个:
http://bbs.mjtd.com/thread-186469-1-1.html
我搞错了以为这个是线形比例,这个是图块放大比例。能加个调改线形比例的选项就好了
data:image/png;base64,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
9701519 发表于 2024-11-4 14:23
命令执行有点问题:
Pick Block :; 错误: 此类型的 LISP 值不能强制转换成 VARIANT:"byblock"
15行"byblock"改成acLnWtByBlock kozmosovia 发表于 2024-11-4 17:03
15行"byblock"改成acLnWtByBlock
好了非常感谢
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