求助各位,能不能根据标注尺寸,生成矩形
本帖最后由 清水白粥 于 2023-12-30 08:05 编辑data:image/png;base64,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
求助各位大佬,
能不能根据标注尺寸,
批量选择标注,批量生成矩形,写一个LISP
如果觉得币少了,就说……
我自己顶一下吧,想了很久的一个笨办法,先选择标注然后,变成直线,然后炸开,然后利用排序插件进行定距排序,再通过移动,然后进行合并线段 不复杂,两个标注在右上角点已经对齐,读取两个标注的值后就很容易计算出矩形的信息 革天明 发表于 2024-1-6 09:17
不复杂,两个标注在右上角点已经对齐,读取两个标注的值后就很容易计算出矩形的信息
有没参考,或者大概帮忙写一下……大佬 清水白粥 发表于 2024-1-6 10:51
有没参考,或者大概帮忙写一下……大佬
现在基本上不写lsp程序了,只是偶尔看看 革天明 发表于 2024-1-6 15:53
现在基本上不写lsp程序了,只是偶尔看看
是写vba嘛? (defun c:NM (/ ents1 i p1 p2 p3 p4 s1 ss)
(setq i -1)
(if(setq ss (ssget(list '(0 . "DIMENSION"))))
(progn
(setq ents1(entget(ssname ss 0)))
(setq p1(cdr(assoc 13 ents1))
p2(cdr(assoc 14 ents1))
p3(cdr(assoc 10 ents1))
p4(polar p2(angle p3 p2)(cdr(assoc 42 (entget (ssname ss 1)))))
)
(command "_RECTANG""_non"P1 "_non"P4)
)
)
(princ)
) 简单玩玩
xj6019 发表于 2024-1-6 19:05
(defun c:NM (/ ents1 i p1 p2 p3 p4 s1 ss)
(setq i -1)
(if(setq ss (ssget(list '(0 . "DIMENSI ...
能批量生成嘛?
页:
[1]