通信管线设计两步算施工测量
本帖最后由 水吉空 于 2017-7-30 13:17 编辑很多人不知道有选择过滤器，用过选择过滤器的有不少人很喜欢选择过滤器。
在命令行输入FILTER，或者输入别名FI后，回车或空格，就可以打开选择过滤器对话框。打开选择过滤器后首先要设置过滤条件，设置条件的方法有两种，一种是在选择过滤器下拉列表中选择一个条件，然后设置条件的值。设置好过滤器后单击“添加到列表”，过滤条件就会添加到上面的列表中。这里还提供了另外一种添加方式“添加选定对象”，可以通过选择一个样例对象，将此对象所有属性都添加到列表中，然后我们可以从列表中将多余的条件删除。在列表中选择不需要的条件，单击“删除”按钮就可以将相关条件删除，选中条件后，单击“编辑项目”按钮，可以在左下角编辑过滤条件，编辑后可以单击替换按钮将上面的项目替换成新的值。设置好过滤条件后，单击应用按钮，就可以在图中框选，框选范围内满足过滤条件的对象会被选中。如果这跟过滤器我们以后还用得上，我们可以给过滤器起一个名字，单击“另存为”按钮将过滤器保存起来。在选择过滤器下拉列表底部有几个非常特别的过滤条件。
这几个是编程中基本的逻辑运算符，not（非）、or（或）、and（与）xor（异或）。NOT（非）就是不能满足某个过滤条件，如果满足这个条件就会被排除在选择集外；OR（或）就是满足其中一个条件就可以被选中；AND就是要满足所有条件才会被选中，添加到列表中的条件默认就是AND（与），但如果在OR运算条件中有某两个条件或多个条件又需要同时满足的时候，可以添加AND运算符；XOR（亦或）就是只能满足两个条件中的一个，如果同时都满足的话就会被排除在外。光看这些概念很容易糊涂，想几种应用场景实际用一用就明白了。
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