landroni
landroni
I think this one is more related to #50.
I double-checked and I can replicate it here (on Linux) : ``` > sessionInfo() R version 3.0.2 (2013-09-25) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8...
I'm also getting this when using gdf() purely as a viewer, e.g.: ``` sapply(1:ncol(X), function(j) editable(d, j)
I did some rudimentary profiling with RStudio, and here are there results:  There seem to be a lot of calls (too many?) in some parts of the code, which...
If I look more closely into the calls:  I can pinpoint several potential suspects: `.getAutoMethodByName`, `get_view_column`, and a number of `try` calls...
Is there perhaps some _additional_ formatting going on for `Date` columns? Maybe it can be optionally turned off somehow...
Instead of formatting things per-cell, would one option be to do what we do for `logical` vectors and have a function that transparently transforms `Date` to `character` in the df...
Thanks! Will check out over the weekend and report back.
Performance is much better! I tried it on my real data frame, which are big and contain `Date` variables, and I no longer see the slowness issues as before. (I...
As a first batch of files, I would suggest to include some from Geany's source code. Some candidates: https://github.com/geany/geany/blob/master/src/filetypes.c https://github.com/geany/geany/blob/master/scripts/create_py_tags.py https://github.com/geany/geany/blob/master/scripts/changelist.pl