paleolimbot opened a new pull request #11592:
URL: https://github.com/apache/arrow/pull/11592
Implements `is.Date()`, `is.POSIXct()`, `is.timepoint()`, and `is.instant()`
from the lubridate package.
There is also `lubridate::is.POSIXt()` and `lubridate::is.POSIXlt()`...these
are a bit more niche and I thought they might be confusing if implemented here.
Another question I had while implementing this...can/should these return an
`Expression$scalar()`? This isn't how the other `is.*()` functions are done but
maybe this makes a difference?
``` r
library(arrow, warn.conflicts = FALSE)
library(lubridate, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)
test_date <- as.POSIXct("2017-01-01 00:00:11.3456789", tz =
"Pacific/Marquesas")
test_df <- tibble::tibble(
datetime = c(test_date, NA) + 1,
date = c(as.Date("2021-09-09"), NA)
)
RecordBatch$create(test_df) %>%
mutate(is.POSIXct(datetime), is.POSIXct(date)) %>%
collect()
#> # A tibble: 2 × 4
#> datetime date `is.POSIXct(datetime)` `is.POSIXct(date)`
#> <dttm> <date> <lgl> <lgl>
#> 1 2017-01-01 00:00:12 2021-09-09 TRUE FALSE
#> 2 NA NA TRUE FALSE
RecordBatch$create(test_df) %>%
mutate(is.Date(datetime), is.Date(date)) %>%
collect()
#> # A tibble: 2 × 4
#> datetime date `is.Date(datetime)` `is.Date(date)`
#> <dttm> <date> <lgl> <lgl>
#> 1 2017-01-01 00:00:12 2021-09-09 FALSE TRUE
#> 2 NA NA FALSE TRUE
RecordBatch$create(test_df) %>%
mutate(is.instant(datetime), is.instant(date)) %>%
collect()
#> # A tibble: 2 × 4
#> datetime date `is.instant(datetime)` `is.instant(date)`
#> <dttm> <date> <lgl> <lgl>
#> 1 2017-01-01 00:00:12 2021-09-09 TRUE TRUE
#> 2 NA NA TRUE TRUE
RecordBatch$create(test_df) %>%
mutate(is.timepoint(datetime), is.timepoint(date)) %>%
collect()
#> # A tibble: 2 × 4
#> datetime date `is.timepoint(datetime)`
`is.timepoint(date)`
#> <dttm> <date> <lgl> <lgl>
#> 1 2017-01-01 00:00:12 2021-09-09 TRUE TRUE
#> 2 NA NA TRUE TRUE
```
<sup>Created on 2021-11-02 by the [reprex
package](https://reprex.tidyverse.org) (v2.0.1)</sup>
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