phos | personal music/podcast management | Frontend Framework library

Quite obviously, SO is not the right place for such a question as it's unrelated to programming. There's quite a lot of discussion regarding the topic and answers also will tend to be opinion based.

Up to this moment, it hasn't been possible on Apple (due to closed ecosystem, not hardware incompatibility) and became allowed for Android. Technically it's been possible for a while already, but regulations made consumer grade devices incapable of acceptance - they are still quite terrible in the physical aspect as they are not designed to either handle entries securely as well as generate the electromagnetic field according to EMVCo requirements as to the shape and operating volume. Payment schemes have generated as list of special criteria for solutions based on consumer grade devices and the company you mentioned is one of many that have been working on it. There certainly are already some production deployments with limits that have been set by the schemes.

There might be changes in Apple approach (especially as they acquired a company dedicated to such solutions) or not. This is just speculation. The fact is that consumer devices tend not to be as good as dedicated hardware but only time will tell if this stays true. Security research is ongoing, we shall see the results and how will that affect companies policy and further development in the area. It's just too early too tell.

I created a unique identifier for the two different 'stacks' in your table, then used that identifier as a merge index. Pandas will add a suffix to keep your names unique. Then you can perform an easy subtraction:

If each result is always expected to start with one attribute (eg; "AnalyteCode"), then you can parse each group using this as the "starting" delimiter.

I created some sample code:

geom_rect() draws a rectangle for each row in your data. To get only one rectangle per facet, you need to pass it a data set that contains only one row per faceting variable. Since MD_Fuss seems to be constant within a variable, you can create that data set with unique(dat[, c("variable", "MD_Fuss")]), and then pass it as the data argument to geom_rect():

You can perfectly translate this C-Code into MATLAB. Note that I increased all indices +1 because MATLAB indices start with one and not with zero as in C.

Possible duplication of adding text to ggplot geom_jitter points that match a condition

You can simply store the jittered values in a separate data frame along with labels and use this data frame inside geom_point and geom_text for consistency.

This error occurs because you are not indexing yP. You have written this loop like this:

You can try doing:

Thanks for all, I got the answer, its worked perfectly.

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