我有一个类似的数据集:
Asset Name Time Usage
A 10:39:49 CPU usage
A 10:46:35 CPU usage
B 11:06:55 CPU usage
C 11:24:05 Memory usage
A 11:31:35 Memory usage
B 13:46:17 CPU usage
A 10:35:43 Virtual Machine Failover Failed
C 10:40:55 CPU usage
B 10:45:05 CPU usage
A 11:31:35 CPU usage
B 10:59:44 Memory usage
B 11:44:36 CPU usage
A 11:49:22 Memory usage
我想根据用法绘制资产名称与时间的关系。 我用了代码:
ggplot(DTPlot, aes(DTPlot$Time, Asset.Name, color = Usage)) + geom_point() +
scale_x_time() + xlab("") + ylab("Asset Name")
我在X轴上的时间从00:00:00到00:00:24。如何在图上的数据集中获取时间序列?
提前致谢!
答案 0 :(得分:2)
你的意思是这样吗?
df %>%
mutate(Time = as.POSIXct(Time, format = "%H:%M:%S")) %>%
ggplot(aes(Time, Asset.Name, color = Usage)) +
geom_point() +
labs(x = "", y = "Asset Name")
df <-read.table(text =
"'Asset Name' Time Usage
A 10:39:49 'CPU usage'
A 10:46:35 'CPU usage'
B 11:06:55 'CPU usage'
C 11:24:05 'Memory usage'
A 11:31:35 'Memory usage'
B 13:46:17 'CPU usage'
A 10:35:43 'Virtual Machine Failover Failed'
C 10:40:55 'CPU usage'
B 10:45:05 'CPU usage'
A 11:31:35 'CPU usage'
B 10:59:44 'Memory usage'
B 11:44:36 'CPU usage'
A 11:49:22 'Memory usage'", header = T)