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missing yearmon labels using ggplot scale_x_yearmon

How to display the December in xaxis when using autoplot and yearmonRotating and spacing axis labels in ggplot2working with months in zooPlotting monthly data with ggplotggplot2 stats=“identity” and stacking colors in bar plot gives “striped” bar chartBarplot without lexicographical order in ggplotggplot geom_text not seating on top of barsggplot: line plot for discrete x-axisConverting a factor time variable to yearmon variableHow to reorder the groups in a grouped bar-chartsort by month and year R

1

I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?

Example data:

df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_yearmon(format="%Y %m")

r ggplot2 graph zoo

share|improve this question

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

add a comment | 

1

I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?

Example data:

df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_yearmon(format="%Y %m")

r ggplot2 graph zoo

share|improve this question

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

add a comment | 

I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?

Example data:

df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_yearmon(format="%Y %m")

r ggplot2 graph zoo

share|improve this question

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_yearmon(format="%Y %m")

share|improve this question

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

share|improve this question

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

asked Feb 8 at 11:38

Dom BurnsDom Burns

400415

2 Answers
2

active

oldest

votes

2

I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##

share|improve this answer

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

add a comment | 

0

I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.

library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>% 
 arrange(dates) %>% 
 mutate(dates = as.Date(paste0(dates, "-01")))


ggplot(df, aes(x = dates, y = values)) + 
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')

share|improve this answer

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
  
  – G. Grothendieck
  Feb 8 at 12:16
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
  
  – nycrefugee
  Feb 8 at 12:27
  

  
  
  
  

add a comment | 

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2

I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##

share|improve this answer

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

add a comment | 

2

I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##

share|improve this answer

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

add a comment | 

I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##

share|improve this answer

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

ggplot(df, aes(x = dates, y = values)) + 
 geom_bar(position="dodge", stat="identity") + 
 theme_light() +
 xlab('Month') +
 ylab('values')+ 
 scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##

share|improve this answer

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

answered Feb 8 at 12:09

G. GrothendieckG. Grothendieck

153k10135243

0

I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.

library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>% 
 arrange(dates) %>% 
 mutate(dates = as.Date(paste0(dates, "-01")))


ggplot(df, aes(x = dates, y = values)) + 
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')

share|improve this answer

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
  
  – G. Grothendieck
  Feb 8 at 12:16
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
  
  – nycrefugee
  Feb 8 at 12:27
  

  
  
  
  

add a comment | 

0

I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.

library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>% 
 arrange(dates) %>% 
 mutate(dates = as.Date(paste0(dates, "-01")))


ggplot(df, aes(x = dates, y = values)) + 
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')

share|improve this answer

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
  
  – G. Grothendieck
  Feb 8 at 12:16
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
  
  – nycrefugee
  Feb 8 at 12:27
  

  
  
  
  

add a comment | 

I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.

library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>% 
 arrange(dates) %>% 
 mutate(dates = as.Date(paste0(dates, "-01")))


ggplot(df, aes(x = dates, y = values)) + 
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')

share|improve this answer

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>% 
 arrange(dates) %>% 
 mutate(dates = as.Date(paste0(dates, "-01")))


ggplot(df, aes(x = dates, y = values)) + 
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')

share|improve this answer

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418

answered Feb 8 at 12:01

nycrefugeenycrefugee

764418