【飞鸟集】数字文本的四则运算和统计(更新到2020.11.09)
本帖最后由 highflybir 于 2020-11-9 20:20 编辑本帖所附程序已经更新到2020.11.09.
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2020.11.09 更新特点:
1.还有一个非世界坐标系(WCS)下文本插入点跑远问题得到修正。
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2019.07.13 更新特点:
1.增加了天正类物体,并修正了崩溃问题。
2.修正了非世界坐标系(WCS)下文本插入点跑远问题。
3.修正了以前的64位的ScriptControl创建为nil的问题。
4.修正64位也可能无法创建用来计算表达式的时候采用自己的mycal程序
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2013.12.19 更新特点:
1.更改了操作方式,使得程序更易用。
2.修正了几个bug,包括64位CAD的错误问题。
3.可以计算文本中的算术表达式,譬如:1*2-sin(3)之类。
4.增加了对天正文字,斯维尔文本的支持。
5.统计命令改为stat,所有文本加减乘除某个数的命令改为++,--,**,//这个更方便记忆。
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应一个网友的 要求写了这个一个小程序,但愿各位能用的着。
在绘图过程中,经常会对数字文本进行四则运算,或者统计数字,在现有的CAD命令中没有直接命令与之相关,用计算器又麻烦。所以编写了一个小程序。
用法:
1、先加载程序,首先会提示你如何用这个程序。
2、然后你输入计算结果的精度,即小数点位数:这个只要在开始的时候输入就可以了,以后的命令你不用输入精度,如果你要调整精度,随时输入命令JD.
3、下面为它的具体用法,你可以选择多个文字,如果是除法,劝你最好不要选择0数字,否则会出错。而且命令可以连用,直到你空输入(没有选择或者取点)为止。
+ - * / 命令不用多说。
++,--,**,// 命令为对所选文字同时加减乘除某个数。StatSet为设置。
4、统计的命令为stat。其速度是很快的,我曾对十万级的数字验证,求结果既快又准。
5、这个程序适用于各个版本,我甚至觉得可以用于DOS的CAD版本。
各位有什么建议或好的想法可以回帖,在此致谢。
程序已经更新。 ;我计算楼梯过程中,核对踏步宽度高度是否正确,做的一个小程序,选中带符号的文字,将计算结果放置在右下角,图层为当前图层。
;感谢高飞大神
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
(defun c:CAt (/ box Els ent i lst nls num p1 p2 p3 p4 sel strlst wcs wz_jd wz_obj wz_zg)
(if
(or
(setq wcs (vlax-create-object "Aec32BitAppServer.AecScriptControl.1"))
(setq wcs (vlax-create-object "ScriptControl"))
)
(vlax-put-property wcs "language" "VBScript")
)
(setq i 0)
(setq sel (ssget '((0 . "text"))))
(repeat (sslength sel)
(setq ent (ssname sel i))
(command "ucs" "e" ent)
(setq wz_obj (vlax-ename->vla-object ent))
(setq wz_jd (vlax-get-property wz_obj 'Rotation)) ;取得角度
(setq wz_zg (vlax-get-property wz_obj 'Height)) ;取得字高
(setq lst (entget ent))
(setq box (textbox lst));取得文字的外框坐标
(setq p1 (car box))
(setq p3 (cadr box))
(setq p2 (list (car p3) (cadr p1)));p2为文字插入坐标
(setq p2 (trans p2 1 0))
(setq p4 (list (car p1) (cadr p3)))
(setq num (cdr (assoc 1 lst)))
(if (wcmatch (cdr (assoc 0 lst)) "*_TEXT")
(setq num (atof num))
(progn
(foreach s '("㎡" "平方米" "米")
(while (/= num (setq num (vl-string-subst "" s num))))
)
(while (/= num (setq num (vl-string-subst "*" "×" num))))
(setq num (vl-string-translate "xX" "**" num))
;;优先使用CAD的cal函数计算.
(if CAL
(setq num (float (cal (strcat num "+0.0")))) ;这个地方需要转化为浮点,不然cal函数会出错
;;然后采用vbs计算
(if wcs
(setq num (vlax-invoke wcs 'eval num))
(setq num (CAL:Expr2Value Num))
)
)
)
)
;;; (setq Els (cons ent Els))
;;; (setq Nls (cons num Nls))
(entmake (list '(0 . "TEXT") (cons 1 (rtos num)) (cons 10 p2) (cons 40 (* 0.3 wz_zg))))
(setq i (1+ i))
)
(command "ucs" "")
;;;(list
;;; (reverse Els)
;;; (reverse Nls)
;;;)
(prin1)
)
(prompt "\n根据高飞大神四则运算进行修改<c:cat>")
(prin1)
有点尴尬的是我用“stat"命令,进行了统计计算,其实我只想在旁边写出一个结果就好:例:"3*5",我想的是输入命令单击它后在旁边出现一个文字15就行。不知道直接操作怎么实现,看来要利用高飞大神的函数自己稍微改造下?或是原来就带的有呢? <p>能否改一下?对尺寸标注的文本也能计算,插入计算结果。</p><p>实际运用中很多时候会用到。</p><p>TKS!</p> <p>不错,楼主花了不少功夫</p><p>MTEXT对象不受支持</p> <p>R14底下怎么不能用</p><p></p><p></p> 我也来一个。有什么问题,请指教!
输入tt选择多个文本,在文本末尾进行整数四则运算
(defun right-string-number (str / stringlength mantissa)
(setq stringlength (1- (strlen str)))
(setq mantissa (vl-string-elt str stringlength))
(if (and (>= mantissa 48) (<= mantissa 57))
(progn
(setq string (vl-string-right-trim "0123456789" str))
(setq n (vl-string-mismatch string str))
(setq number (substr str (1+ n) (1+ stringlength)))
(list string number)
)
(if (princ (strcat "\n" str "末尾不是数字!"))
nil
)
)
)
(defun jw:szys (sign numlst /)
(if (= sign "+")
(setq result (apply '+ numlst))
)
(if (= sign "-")
(setq result (apply '- numlst))
)
(if (= sign "*")
(setq result (apply '* numlst))
)
(if (= sign "/")
(setq result (apply '/ numlst))
)
result
)
;;;格式化输入整数
(defun jw:int ()
(if (= nil orig_int)
(setq orig_int 1)
(setq orig_int int)
)
(setq int
(getint
(strcat "\n请输入增值<" (itoa orig_int) ">:")
)
)
(if (= nil int)
(setq int orig_int)
)
int
)
(defun jw:sign ()
(if (= nil orig_sign)
(setq orig_sign "+")
(setq orig_sign sign)
)
(initget "+ - * /")
(setq sign
(getkword
(strcat "\n四则运算[/]or[*]or[-]or[+] <"
orig_sign
">:"
)
)
)
(if (= nil sign)
(setq sign orig_sign)
)
sign
)
(princ "\n输入tt选择多个文本,在文本末尾整数进行四则运算")
(princ)
(defun c:tt ()
(if (jw:sign)
(if (jw:int)
(if (setq ss (ssget '((0 . "*text"))))
(progn
(setq slen (- (sslength ss) 1)
i 0
)
(while (<= i slen)
(setq na (ssname ss i)
data (entget na)
str(cdr (assoc 1 data))
)
(if (right-string-number str)
(progn
(setq string (car (right-string-number str))
number (cadr (right-string-number str))
num (jw:szys sign (list (atoi number) int))
str (strcat string (itoa num))
data (subst (cons 1 str) (assoc 1 data) data)
)
(entmod data)
)
)
(setq i (+ i 1))
)
)
)
)
)
(princ)
)
<font face="Verdana">谢谢楼上的分享,参考下,很感激</font> carrot1983 发表于 2007-6-21 09:18 static/image/common/back.gif
我也来一个。有什么问题,请指教!
输入tt选择多个文本,在文本末尾进行整数四则运算
能否设置一下小数位数啊,不要全整数 不错,功能挺多的 谢谢楼主,功能很实用。
也谢谢5楼,支持多文本,文本+数字,非常好 能否实现2*3/2+1-3求值呢?