rlist | A Toolbox for Non-Tabular Data Manipulation

It really take a lot of time to reproduce your case as you have so many packages that I didn't use :)

Explaination of the issue: ggplot does not render any graph at the time you call the geom and passing data and mapping aes. ggplot just store the name reference to the data variable. Only when render it actually get the value and plot. In your case, you are passing reference dd[[col]] and as col change value through for loop while ggplot always reference to col so it ended render two bar of the same data of the last column value is Column2. You can verify this by changing order of the column and put Column1 at last then you will see two bar of Column1 instead.

Solution: create unique reference for each loop

Try this:

See the Series.str.findall reference:

Equivalent to applying re.findall() to all the elements in the Series/Index.

The re.findall references says that "if one or more groups are present in the pattern, return a list of groups; this will be a list of tuples if the pattern has more than one group."

So, all you need to do is actually remove all capturing parentheses in this case, as all you need is to get the whole match:

The TTL(Time-To-Live) itself sets the expiration of a particular key after which the key can no longer be retrieved. If you want to keep the key in the memory you could simply skip setting rList.expire(7L, TimeUnit.SECONDS); altogether (infinite expiration).

In case you want to extend expiration, you can do so by repeating the expire command. It is also possible to remove the TTL altogether this way, although I could not tell you how to do it specifically with the Redisson.

As for the expired keys, Redis clears them 10 times a second (according to this documentation), so I don't think that you can (consistently) recover the values within the expired keys.

My general advice would be to take a step back and look at your system design. In case you are missing the expired keys, maybe this part of the product should get an extended TTL/no TTL/periodical TTL refresh

Have you tried something like that?

A pretty straightforward approach would be using rapply with is.na(). Something like this would be close to your desired result:

You could use ggsignif for custom annotations. Example uses p < 0.2 as cutoff to show multiple error bars:

Just add tidy = TRUE to the CompactDataMethod call:

As each list element is a Map potentially containing more than one instance of Object, you first need to re-define your sort criteria.

It would work if you say that you want to sort the list by the greatest Object in the Map.

But as java.lang.Object does not define java.lang.Comparable, there is no natural order for instances of Object. So you need to define a sorting criteria for Object, too. As there are not that many attributes, only the hash code or the result of Object.toString() would work.