我有一个单词列表.我正在尝试过滤所有元素共有的列,然后删除最终为零行的任何元素(但由于它们有列,因此在技术上不是空的).它似乎purrr:::compact()是为了这个目的,但我不认为我做得很对.有更好的解决方案吗?
require(tidyverse)
#> Loading required package: tidyverse
mylst <- lst(cars1 = cars %>% as.tibble(), cars2 = cars %>% as.tibble() %>% mutate(speed = speed + 100))
#This produces a list with zero-row tibble elements:
mylst %>% map(function(x) filter(x, speed == 125))
#> $cars1
#> # A tibble: 0 x 2
#> # ... with 2 variables: speed <dbl>, dist <dbl>
#>
#> $cars2
#> # A tibble: 1 x 2
#> speed dist
#> <dbl> <dbl>
#> 1 125. 85.
#This results in the same thing:
mylst %>% map(function(x) filter(x, speed == 125)) %>% compact()
#> $cars1
#> # A tibble: 0 x 2
#> # ... with 2 variables: speed <dbl>, dist <dbl>
#>
#> $cars2
#> # A tibble: 1 x 2
#> speed dist
#> <dbl> <dbl>
#> 1 125. 85.
#Putting compact inside the map function reduces $cars1 to 0x0, but it's still there:
mylst %>% map(function(x) filter(x, speed == 125) %>% compact())
#> $cars1
#> # A tibble: 0 x 0
#>
#> $cars2
#> # A tibble: 1 x 2
#> speed dist
#> <dbl> <dbl>
#> 1 125. 85.
#This finally drops the empty element, but seems clumsy.
mylst %>% map(function(x) filter(x, speed == 125) %>% compact()) %>% compact()
#> $cars2
#> # A tibble: 1 x 2
#> speed dist
#> <dbl> <dbl>
#> 1 125. 85.
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由reprex包创建于2018-04-06(v0.2.0).
kon*_*vas 11
您正在尝试使用,compact但这只会过滤掉NULL元素.要过滤掉零行元素,您可以使用discard:
mylst %>%
map(function(x) filter(x, speed == 125)) %>%
discard(function(x) nrow(x) == 0)
#$cars2
## A tibble: 1 x 2
# speed dist
# <dbl> <dbl>
#1 125. 85.
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