(求助)垂直构造线、水平构造线源码 问题
本帖最后由 999999 于 2020-11-20 20:43 编辑求助各位论坛大神,有空帮小弟解决一下问题 ,,
谢谢
以下是845245015大神帮忙发的代码,后面更新了一个完整的插件,可选择的垂直水平构造线,http://bbs.mjtd.com/forum.php?mod=viewthread&tid=182161&page=1#pid874788链接在这,有需要的可以去下载,但是本人现在需要直接输入对应的命令就出现对应的构造线,求各位大神修改,下面的代码,连续用了两次后,就随图层了,能不能改成,一直是设置好的层,取消命令后,图层还是回到命令前的图层
垂直辅助线
(defun c:Z ()
(setq oldlay (getvar "CLAYER"))
(setq aa (getpoint))
(command "-layer" "m" "layer9""")
(command "xline" "v" aa)
(setvar "clayer" oldlay)
(princ)
)
水平辅助线
(defun c:A ()
(setq oldlay (getvar "CLAYER"))
(setq aa (getpoint))
(command "-layer" "m" "layer9""")
(command "xline" "h" aa)
(setvar "clayer" oldlay)
(princ)
)
本帖最后由 845245015 于 2020-8-28 19:06 编辑
999999 发表于 2020-8-28 18:51
大神,可以帮忙改一下比如,直接输入Z是垂直线, 输入A是水平线吗,,您发的那个插件太完整 ...
(defun c:Z ()
(setq oldlay (getvar "CLAYER"))
(if (null (tblsearch "layer" "layer9"))
(entmake (list'(0 . "LAYER")'(100 . "AcDbSymbolTableRecord")'(100 . "AcDbLayerTableRecord") '(370 . 0) '(70 . 0) '(290 . 1) '(2 . "layer9")))
)
(while (setq pt (getpoint))
(entmake (list '(0 . "XLINE") '(100 . "AcDbEntity") '(100 . "AcDbXline") '(8 . "layer9") (cons 10 pt) (cons 11 '(0 1 0))))
)
(setvar "clayer" oldlay)
(princ)
)
(defun c:A ()
(setq oldlay (getvar "CLAYER"))
(if (null (tblsearch "layer" "layer9"))
(entmake (list'(0 . "LAYER")'(100 . "AcDbSymbolTableRecord")'(100 . "AcDbLayerTableRecord") '(370 . 0) '(70 . 0) '(290 . 1) '(2 . "layer9")))
)
(while (setq pt (getpoint))
(entmake (list '(0 . "XLINE") '(100 . "AcDbEntity") '(100 . "AcDbXline") '(8 . "layer9") (cons 10 pt) (cons 11 '(1 0 0))))
)
(setvar "clayer" oldlay)
(princ)
)
我都给您发过改后的了data:image/png;base64,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 845245015 发表于 2020-8-28 18:46
我都给您发过改后的了
大神,可以帮忙改一下比如,直接输入Z是垂直线, 输入A是水平线吗,,您发的那个插件太完整了,有选择性,偶尔使用是比较好的,但是我使用的次数太多,直接输入,加空格,就完成的对我很适用 845245015 发表于 2020-8-28 19:05
(defun c:Z ()
(setq oldlay (getvar "CLAYER"))
(if (null (tblsearch "layer" "layer9"))
谢谢大神,,这个就是我想要的效果,,
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