iOS8 - 代码中是否有UIAutomation框架的示例?(iOS8 - is there an example of UIAutomation framework from code?)
我一直在阅读使用乐器的UI自动化,旧文档建议使用javascript库访问最前面的应用程序,然后访问UI视图层次结构。
我看到iOS8设备在设置中的开发人员菜单中具有“启用UI自动化”选项。 我还看到iOS8中的UIAutomation框架有一些文档,在我看来,它允许从代码中执行UIAutomation。
是否有从代码中使用iOS8 UIAutomation框架的示例,我可以看一下,了解这是否适用于我的框架?
我在UIAutomation框架上查看信息时会看到这个屏幕,我认为它让我觉得它在Obj-c或Swift中可用,因为顶部有按钮。 有人可以确认这个框架在swift或Obj-c中都不可用,并且仍然是一个javascript框架吗?
。
I've been reading about UI automation using instruments, and the old documentation suggested that this is done using a javascript library to access frontmost app, then access UI view hierarchy.
I see that an iOS8 device has "Enable UI automation" option in the developer menu in settings. I also see that there's some documentation on the UIAutomation framework in iOS8, which seems to me like it allows to do UIAutomation from code.
Are there examples of using iOS8 UIAutomation framework from code that I can look at to understand if this is the framework for me?
I see this screen when looking for the info on UIAutomation framework, and I think it confused me into thinking that it is available in Obj-c or Swift, because of buttons on top. Can someone confirm that this framework is NOT available in either swift or Obj-c and is still a javascript framework?
.
原文:https://stackoverflow.com/questions/25728707
最满意答案
begin_cond = (df['SPEED'] == 0) & (df['SPEED_END'].shift(1) == 0) df['BEGIN'] = df['BEGIN'].mask(begin_cond).ffill().astype(int)
基本上,
mask
将替换df['BEGIN']
中的值,其中begin_cond
与NaN
为True
。 然后,ffill
将使用df['BEGIN']
的最后一个有效值向前填充NaN
值。结果输出:
BEGIN SPEED SPEED_END 0 322 28 0 1 322 0 23 2 496 5 1 3 500 0 0 4 500 0 0 5 500 0 0 6 500 0 0 7 500 0 14 8 1050 11 6
begin_cond = (df['SPEED'] == 0) & (df['SPEED_END'].shift(1) == 0) df['BEGIN'] = df['BEGIN'].mask(begin_cond).ffill().astype(int)
Essentially,
mask
will replace the values indf['BEGIN']
wherebegin_cond
isTrue
withNaN
. Then,ffill
will forward fill theNaN
values with the last valid value indf['BEGIN']
.The resulting output:
BEGIN SPEED SPEED_END 0 322 28 0 1 322 0 23 2 496 5 1 3 500 0 0 4 500 0 0 5 500 0 0 6 500 0 0 7 500 0 14 8 1050 11 6
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