如何更改X轴编号? [英] How do you change the X axis number?

问题描述

p = ggplot() + 
  geom_line(data = Month_time, aes(x = Month, y = CarrierDelay), color = "red") +
  geom_line(data = Month_time, aes(x = Month, y = WeatherDelay), color = "purple") +
  geom_line(data = Month_time, aes(x = Month, y = NASDelay), color = "yellow") +
  geom_line(data = Month_time, aes(x = Month, y = SecurityDelay), color = "green") +
  geom_line(data = Month_time, aes(x = Month, y = LateAircraftDelay), color = "blue") +
  xlab('Month') +
  ylab('Delay Types [min]')
print(p)

Q如何将本月的X轴更改为仅1，2，3，4 ...? 问另外，如何为每个图形添加标签?

Q How do you change the X-axis the Month to be just 1, 2, 3, 4 ...? Q Also how do you add the label for each graph?

推荐答案

在这里，示例代码应重新组织您的数据以准备由ggplot2进行绘制:

Here, a sample of code that should re-organize your data to be ready to be plot by ggplot2:

library(tidyr)
library(dplyr)
library(ggplot2)

Month_subset = Month_time %>% select(., Month, CarrierDelay, WeatherDelay, NASDelay, SecurityDelay, LateAircraftDelay) %>%
  pivot_longer(-Month,names_to = "Conditions", values_to = "Value") 

ggplot(Month_subset, aes(x = Month, y = Value, color = Conditions)) + 
         geom_line() +
         ylab("Delay Types [min]") +
         scale_x_continuous(breaks = 1:12)

基本上，使用dplyr和tidyr，然后转到感兴趣的select列，然后使用pivot_longer以长格式重新组织数据.最后，我们将使用ggplot2一次绘制所有内容.这样，您的每个条件都将以不同的颜色绘制，并添加说明每个标签的图例.

Basically, using dplyr and tidyr, we are going to select columns of interest then, re-organise the data in a long format using pivot_longer. And finally, we are going to plot everything in once using ggplot2. Like that, each of your conditions will be plot with a different color and a legend will be added mentioning each labels.

警告，此代码基于我对您正在尝试执行的操作的了解，但由于您未提供

Warning this code is based on what I understand of what you are trying to do, but I can't verify it since you are not provding a reproducible example of your dataset. If you are adding one in your question, I will be happy to test my code and update it based on your real data

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