ggplot 整数中断方面 [英] ggplot Integer Breaks on Facets

问题描述

图书馆(tidyverse)df <- tibble(col1 = rep(c("A", "B"), 2),col2 = c(0.4, 0.7, 3, 9),col3 = c("I", "I", "II", "II"))#># 小费:4 x 3#>col1 col2 col3#><chr><dbl><chr>#>1 A 0.4 I#>2 B 0.7 I#>3 A 3 II#>4 乙 9 Ⅱggplot(df, aes(col1, col2)) +geom_col() +facet_wrap(vars(col3), scales = "free")

我想为上面的 ggplot 创建整数中断:

1. 在每个方面的最低值处或下方有一个整数下限.
2. 在每个方面的最高值处或上方有一个整数上限.

对于我的第一个方面 I，轴的整数值将包括 0 和 1.对于第二个方面 II，整数值应包括在最小 0 处，最大整数必须至少为 9，也许 10 会更好看，这取决于用于创建中断的例程.

这些尝试来自这个

解决方案

要获得所需的结果，您还必须调整 y 轴的限制.试试这个:

library(tidyverse)df <- tibble(col1 = rep(c("A", "B"), 2),col2 = c(0.4, 0.7, 3, 9),col3 = c("I", "I", "II", "II"))my_ceil <- 函数(x){ceil <- 天花板(最大(x))ifelse(ceil > 1 & ceil %% 2 == 1, ceil + 1, ceil)}my_breaks <- 函数(x){ceil <- my_ceil(max(x))独特的(天花板(漂亮(seq(0，ceil))))}my_limits <- 函数(x){细胞 <- my_ceil(x[2])c(x[1], ceil)}ggplot(df, aes(col1, col2)) +geom_col() +facet_wrap(vars(col3), scales = "free") +scale_y_continuous(breaks = my_breaks，limits = my_limits)

^{由 reprex 包 (v0.3.0) 于 2020 年 5 月 21 日创建}

library(tidyverse)
df <- tibble(col1 = rep(c("A", "B"), 2),
             col2 = c(0.4, 0.7, 3, 9),
             col3 = c("I", "I", "II", "II"))
#> # A tibble: 4 x 3
#>   col1   col2 col3 
#>   <chr> <dbl> <chr>
#> 1 A       0.4 I    
#> 2 B       0.7 I    
#> 3 A       3   II   
#> 4 B       9   II 

ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free")

I want to create integer breaks for the ggplot above such that:

1. There is an integer lower break at or below the lowest value value for each facet.
2. There is an integer upper break at or above the highest value value for each facet.

For my first facet I the integer values for the axis would include 0 and 1. For the second facet II the integer values should include at the min 0 and the max integer would have to be at least 9, maybe 10 would look better, depending on the routine used for creating the breaks.

These attempts from this older stackoverflow question don't quite work.

# Attempt 1 
ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free") +
  scale_y_continuous(
    breaks = function(x) unique(floor(pretty(seq(0, (max(x) + 1) * 1.1)))))

# Attempt 2
ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free") +
  scale_y_continuous(breaks = scales::pretty_breaks(2))

# Attempt 3
ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free") +
  scale_y_continuous(breaks = c(0, 1))

# Attempt 4
ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free") +
  scale_y_continuous(
    breaks = function(x) seq(ceiling(x[1]), floor(x[2]), by = 1))

# Attempt 5
ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free") +
  scale_y_continuous(
    breaks = 
      function(x, n = 5)  pretty(x, n)[round(pretty(x, n),1) %% 1 == 0])

Most attempts produce something like the following. Notice the missing 1 break on the first facet. And I'd want the second facet to have a break at 10. I don't want to manually set limits or breaks because in reality I have hundreds of facets. Hopefully one of the functions above can be modified to fit my requirements.

解决方案

To achieve the desired result you also have to adjust the limits of the y-axis. Try this:

library(tidyverse)

df <- tibble(col1 = rep(c("A", "B"), 2),
             col2 = c(0.4, 0.7, 3, 9),
             col3 = c("I", "I", "II", "II"))

my_ceil <- function(x) {
  ceil <- ceiling(max(x))
  ifelse(ceil > 1 & ceil %% 2 == 1, ceil + 1, ceil)
}

my_breaks <- function(x) { 
  ceil <- my_ceil(max(x))
  unique(ceiling(pretty(seq(0, ceil))))
} 

my_limits <- function(x) { 
  ceil <- my_ceil(x[2])
  c(x[1], ceil)
}

ggplot(df, aes(col1, col2)) + 
  geom_col() + 
  facet_wrap(vars(col3), scales = "free")  +
  scale_y_continuous(breaks = my_breaks, limits = my_limits)

^{Created on 2020-05-21 by the reprex package (v0.3.0)}

这篇关于ggplot 整数中断方面的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！