EmilySChoy commented on issue #34689:
URL: https://github.com/apache/arrow/issues/34689#issuecomment-1485705115
Hi! I ran
` gps %>% filter( dep_id %in% dd) %>% collect()`
and got
# A tibble: 16,112 × 14
time lon lat altitude_m satellites hdop inrange site
subsite
<dttm> <dbl> <dbl> <int> <int> <dbl> <lgl> <chr>
<chr>
1 2019-05-18 18:18:57 -146. 59.4 -12 2 5.3 NA
Middl… Tower
2 2019-05-18 18:21:31 -146. 59.4 0 4 2.2 NA
Middl… Tower
3 2019-05-18 18:24:03 -146. 59.4 66 4 2.3 NA
Middl… Tower
4 2019-05-18 18:27:02 -146. 59.4 48 4 2.4 NA
Middl… Tower
5 2019-05-18 18:30:01 -146. 59.4 -72 4 2.4 NA
Middl… Tower
6 2019-05-18 18:33:02 -146. 59.4 -76 3 12.1 NA
Middl… Tower
7 2019-05-18 18:36:03 -146. 59.4 -14 4 3 NA
Middl… Tower
8 2019-05-18 18:39:03 -146. 59.4 114 4 3 NA
Middl… Tower
9 2019-05-18 18:42:00 -146. 59.4 64 4 2.4 NA
Middl… Tower
10 2019-05-18 18:45:00 -146. 59.4 150 3 2.4 NA
Middl… Tower
# … with 16,102 more rows, and 5 more variables: species <chr>, year <int>,
# metal_band <int>, dep_id <chr>, deployed <int>
# ℹ Use `print(n = ...)` to see more rows, and `colnames()` to see all
variable name
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