英文:
Barplot with double x-axis labels
问题
我需要创建一个条形图，显示三种不同服务的每周销售数量。我需要将日历周和月份作为x轴标签之一。
以下是我的代码：
sample <- data.frame(service_type = c("A","B","C","A","B","C","A","B","C","A","B","C","A","B","C","A","B","C","A","B","C"),qty = c(38,185,87,29,12,133,2,14,31,2,9,59,60,43,137,135,31,159,15,32,1),year_week = c("2022 - CW02","2022 - CW02","2022 - CW02","2022 - CW03","2022 - CW03","2022 - CW03","2022 - CW04","2022 - CW04","2022 - CW04","2022 - CW05","2022 - CW05","2022 - CW05","2022 - CW06","2022 - CW06","2022 - CW06","2022 - CW07","2022 - CW07","2022 - CW07","2022 - CW08","2022 - CW08","2022 - CW08"),xlabel2 = c("Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22"))## 使用 annotatesample %>%ggplot() +aes(x = year_week, fill = service_type, weight = qty) +geom_bar(position = "dodge") +scale_fill_hue(direction = 1) +theme_minimal() +theme(legend.position = "left", axis.text.x = element_text(angle=90, hjust=1)) +coord_cartesian(clip = "off") +annotate(geom = "text",x = 1:(nrow(sample)/3),y = min(sample$qty),label = unique(sample$xlabel2),vjust = 1,angle = 90)## 使用 facet_wrapsample %>%ggplot() +aes(x = year_week, fill = service_type, weight = qty) +geom_bar(position = "dodge") +scale_fill_hue(direction = 1) +theme_minimal() +theme(legend.position = "left", axis.text.x = element_text(angle=90, hjust=1)) +facet_wrap(~xlabel2, strip.position = "bottom") +theme(strip.placement = "outside")
第一次尝试使用 annotate，但我收到错误信息'Error in annotate(): ! Unequal parameter lengths: x (7), label (2)'
第二次尝试使用 facet_wrap，图表重复了第一个轴标签两次，不符合我的要求。
我不确定这些方法中是否有一个是正确的。非常感谢任何能帮助我的人。
谢谢！
英文:
I need to build a barplot showing the sold qty of three different services on a weekly basis. I need to add as x-axis label either the calendar week and the month.
See the image for an example:
Here is my code:
sample <- data.frame(service_type = c("A","B","C","A","B","C","A","B","C","A","B","C","A","B","C","A","B","C","A","B","C"),qty = c(38,185,87,29,12,133,2,14,31,2,9,59,60,43,137,135,31,159,15,32,1),year_week = c("2022 - CW02","2022 - CW02","2022 - CW02","2022 - CW03","2022 - CW03","2022 - CW03","2022 - CW04","2022 - CW04","2022 - CW04","2022 - CW05","2022 - CW05","2022 - CW05","2022 - CW06","2022 - CW06","2022 - CW06","2022 - CW07","2022 - CW07","2022 - CW07","2022 - CW08","2022 - CW08","2022 - CW08"),xlabel2 = c("Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Jan-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22","Feb-22"))## To use annotatesample %>%#arrange(desc(dat_cal_week_id)) %>%ggplot() +aes(x = year_week, fill = service_type, weight = qty) +geom_bar(position = "dodge") +scale_fill_hue(direction = 1) +theme_minimal() +#theme(legend.position = "left", axis.text.x = element_text(angle=90, hjust=1)) +theme(legend.position = "left", axis.text.x = element_blank()) +coord_cartesian(clip = "off") +annotate(geom = "text",x = 1:(nrow(sample)/3),y = min(sample$qty),label = unique(sample$xlabel2),vjust = 1,angle = 90)## Using facet_wrapsample %>%#arrange(desc(dat_cal_week_id)) %>%ggplot() +aes(x = year_week, fill = service_type, weight = qty) +geom_bar(position = "dodge") +scale_fill_hue(direction = 1) +theme_minimal() +theme(legend.position = "left", axis.text.x = element_text(angle=90, hjust=1)) +facet_wrap(~xlabel2, strip.position = "bottom") +theme(strip.placement = "outside")
The first try is with annotate but I receive the error 'Error in annotate():
! Unequal parameter lengths: x (7), label (2)'
The second try is with facet_wrap and the plot is repeating the first axis labels twice and it's not what I'm looking for
See image
I'm not sure that any of these approaches are correct.
I really appreciate anyone who can help me with this.
Thanks
答案1
得分: 1
一个选择是使用分面，但具有自由比例，即scales="free_x"。另外，至少对于你的示例数据，我会切换到facet_grid，因为它允许使用space="free_x"，这样我们可以获得每个分面等宽的条形图：
library(ggplot2)sample$xlabel2 <- factor(sample$xlabel2, c("Jan-22", "Feb-22"))ggplot(sample) +aes(x = year_week, fill = service_type, weight = qty) +geom_bar(position = "dodge") +scale_fill_hue(direction = 1) +theme_minimal() +theme(legend.position = "left", axis.text.x = element_text(angle = 90, hjust = 1)) +facet_grid(~xlabel2, switch = "x", scales = "free_x", space = "free_x") +theme(strip.placement = "outside")
<details><summary>英文:</summary>One option would be to use facetting but with a free scale, i.e. `scales="free_x"`. Additionally at least for your example data I would switch to `facet_grid` as it allows to use `space="free_x"` so that we get bars of equal width per facet:
library(ggplot2)
sample$xlabel2 <- factor(sample$xlabel2, c("Jan-22", "Feb-22"))
ggplot(sample) +
aes(x = year_week, fill = service_type, weight = qty) +
geom_bar(position = "dodge") +
scale_fill_hue(direction = 1) +
theme_minimal() +
theme(legend.position = "left", axis.text.x = element_text(angle = 90, hjust = 1)) +
facet_grid(~xlabel2, switch = "x", scales = "free_x", space = "free_x") +
theme(strip.placement = "outside")
[![enter image description here][1]][1][1]: https://i.stack.imgur.com/YbwsK.png</details># 答案2**得分**: 0如果您将 `year_week` 转换为 `Date` 对象，可以在 `scale_x_date()` 中使用 `sec.axis`：
library(dplyr)
library(ggplot2)
sample <- sample %>%
mutate(date = as.Date(paste0(year_week, 1), "%Y - CW%U%u"))
sample %>%
ggplot() +
aes(x = date, fill = service_type, weight = qty) +
geom_bar(position = "dodge") +
scale_fill_hue(direction = 1) +
scale_x_date(
date_labels = "%Y - CW%U",
date_breaks = "1 week",
sec.axis = dup_axis(
breaks = as.Date(paste0("15-", unique(sample$xlabel2)), "%d-%b-%y"),
labels = (x) format(x, "%b-%y")
)
) +
theme_minimal() +
theme(legend.position = "left", axis.text.x.bottom = element_text(angle=90, hjust=1))
[![][1]][1]<details><summary>英文:</summary>If you convert `year_week` to a `Date` object, you can use `sec.axis` in `scale_x_date()`:
library(dplyr)
library(ggplot2)
sample <- sample %>%
mutate(date = as.Date(paste0(year_week, 1), "%Y - CW%U%u"))
sample %>%
ggplot() +
aes(x = date, fill = service_type, weight = qty) +
geom_bar(position = "dodge") +
scale_fill_hue(direction = 1) +
scale_x_date(
date_labels = "%Y - CW%U",
date_breaks = "1 week",
sec.axis = dup_axis(
breaks = as.Date(paste0("15-", unique(sample$xlabel2)), "%d-%b-%y"),
labels = (x) format(x, "%b-%y")
)
) +
theme_minimal() +
theme(legend.position = "left", axis.text.x.bottom = element_text(angle=90, hjust=1))
[![][1]][1][1]: https://i.stack.imgur.com/RIzxa.png</details>
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