elephantupthewrongtree
elephantupthewrongtree
_Originally posted by @KesterJ in https://github.com/tidyverse/dtplyr/issues/300#issuecomment-1036179822_ I've encountered a version of this issue that doesn't involve `&&`, and where `group_by()` is called after `lazy_dt()`. Reprex below: ``` r library(dplyr, warn.conflicts...
``` r library(dplyr, warn.conflicts = FALSE) library(dtplyr) df % mutate(data.frame(y = 2, z = 3)) #> # A tibble: 1 × 3 #> x y z #> #> 1 1...
I'd like keyword highlighting, but the dark blue is hard to read with a dark grey background. Would be nice if the option allowed specifying a color, but failing that...
I think it would be helpful to document that `vec_unique` produces named output if the arguments are named. The `help(vec_unique)` page says ays that `vec_unique` is "Equivalent to `unique()`" and...
closes #454 This appears to work but I'm not sure how I feel about adding it. I'm not sure if there's a better option for `j` when there's more than...
e.g. ![image](https://user-images.githubusercontent.com/11261404/209735074-57025828-10d7-4d23-b87b-0eb64dca7c5d.png)
I feel like I'm missing something, I see `from_pandas`, but surely there's a way to start from a polars dataframe too right?