I have a very large data frame (2 columns) in terms of records. I have plotted the graph in ggplot2. The X axis is the time and the Y axis is values. Over a specific interval from time 50 to 60, I want to make the ticks increments to be smaller such as (50,51,51,53,...59,60). For the rest of the axis, it is fine to have the ticks incremented by 10. So,I would expect to have X-axis values like :
10,20,30,40,50,51,52,53,54,55,56,57,58,58,60,70,80,90,..190,200.
I know, I can modify the ticks through scale_x_continuous
by using breaks
and minor_breaks
. However, I'm not getting the expected output. Here is my try:(note: have created data just for example as my data is very large).
data:
-----
x<-seq(1:200)
y<-seq(51,250,by=1)
df<-data.frame(x=x,y=y)
code:(Update based on @Didzis Elferts suggestion)
-----
ggplot(data=df, aes(x,y))+geom_line(size=1.6)+
scale_x_continuous( breaks=c(10,20,30,40,seq(50,60,by=2),seq(70,200,10))
,minor_breaks=seq(50,60,by=2) )+
+theme(axis.text.x=element_text(size=16),axis.text.y=element_text(size=16))+
+theme(axis.title.x=element_text(size=16),axis.title.y=element_text(size=16))+
+theme(axis.ticks.x = element_line(size = 1))+xlab("Time")+ylab("value")
+theme(axis.ticks.length=unit(0.8,"cm"))
Based on the suggestion below, the only problem now is the values of X-axis during the interval between 50-60 is not clearly appeared.
Any suggestions to make it clear!!
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