pony | Pony Object Relational Mapper | SQL Database library

Your imageSearch function calls gis() which doesn't successfully create the response object until the callback passed as the second parameter to gis() is called. However, you're immediately returning the empty response array.

Instead, pass a callback in to imageSearch that gets called when gis() returns, something like this:

To solve your specific issue, you can generate dummy variables to run your desired clustering.

One way to do it is using the dummy_columns() function from the fastDummies package.

Updated

As @dcarlson recommended, you can run mice on the entire dataframe, then you can use complete to get the whole output dataframe. Then, you can join the new data with your original dataframe.

It means that the code came from something that was not a file, but a string. My guess would be an exec() call, but maybe there are other ways of getting the same effect. The previous stack frame might give some clues.

The Entity.to_dict function has a related_objects keyword argument.

You can use it to include the objects in the dicts.

If you want the to-many relationships too, you also need the with_collections argument.

This entire concept is flawed. R is a (largely) functional programming language, and users don't expect side effects, particularly (over)writing objects in the calling environment. A far better idea is to have your function return a list of data frames.

Lists are better than directly writing to the calling environment for a number of reasons. They avoid cluttering the global workspace, they can be iterated over, their elements can be named or unnamed, they can be nested, they can be converted into environments, and they can act as a container to allow a function to return multiple objects - just as in your example.

The standard R way to use a function like yours would be something like this:

You have to use tuple to get values because your index contains tuples (this is not a MultiIndex)

Not really an answer, but fleshing out some background as to how tmux works.

When you run tmux, it tries to connect to (or create if necessary) a server running on a particular Unix socket. By default, the path to that socket is something like /tmp/tmux-$USERID/default. You can change the directory using the -L option or the TMUX_TMPDIR environment variable. You can ignore both those using -S to specify an exact path your self.

For example,

This could be made a bit more compact by reading with readLines, use gsub to change the delimiter, before reading with read.csv/read.table