求求各位大神,有没有办法从批量画此图形!
本帖最后由 renox 于 2020-9-20 10:29 编辑各位大神,有没有办法从批量画此图形!
按你的需求改了下,可以看下。
data:image/png;base64,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
复制、阵列都行吧,要多少有多少。 sgwsssxm 发表于 2020-9-19 22:32
复制、阵列都行吧,要多少有多少。
有很多尺寸不一样的,都是数据表 一般以数据说话,要放上原始数据里你想要的结果。 Bao_lai 发表于 2020-9-20 09:01
一般以数据说话,要放上原始数据里你想要的结果。
说得对,谢谢你的提醒,数据表刚刚已上传。 本帖最后由 Bao_lai 于 2020-9-20 10:50 编辑
renox 发表于 2020-9-20 10:30
说得对,谢谢你的提醒,数据表刚刚已上传。
有数据方便理解,意思了解了,等大大们来耍耍。 Bao_lai 发表于 2020-9-20 10:49
有数据方便理解,意思了解了,等大大们来耍耍。
数据表中有24个像上图片那样的图形。比如第1个图形里的L2长度对应表格里的L2数据。不知道这样说能不能理解. 没想到太通用的方法,只能具体图形具体分析,如果不是量特别大或者需要频繁重画的话,感觉还是手动画比较好。
sgwsssxm 发表于 2020-9-20 17:16
没想到太通用的方法,只能具体图形具体分析,如果不是量特别大或者需要频繁重画的话,感觉还是手动画比较好 ...
就是因为这样的图形太多。你这个怎么画出来的,能共享出来吗。