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Expand axis dates to a full month in each facet

Time:01-03

I am plotting router statistics (collected from graph of router speeds

Again, I want the range of the x axis in each facet to cover the entire month. Thus, I want the X axis for the 2021-12 facet to run from 1st Dec 2021 to 31st Dec 2021, and the X axis for the 2022-01 facet to run from 1st Jan 2022 to 31st Jan 2022.

Is there some way of forcing this within ggplot2?

An additional, smaller self-contained example to try your code on:

X.df <- tribble(
  ~date, ~month, ~Download,
"2021-12-01T00:30:36Z","2021-12",20.13,
"2021-12-07T06:30:31Z","2021-12",38.95,
"2021-12-14T08:00:31Z","2021-12",38.44,
"2021-12-21T09:30:29Z","2021-12",28.57,
"2021-12-28T16:00:31Z","2021-12",30.78,
"2021-12-31T13:00:28Z","2021-12",55.45,
"2022-01-01T00:00:28Z","2022-1",55.44,
"2022-01-01T02:30:29Z","2022-1",55.63,
"2022-01-01T03:00:29Z","2022-1",55.75,
"2022-01-01T05:00:29Z","2022-1",55.8,
"2022-01-07T03:00:29Z","2022-1",53.6,
"2022-01-07T05:00:29Z","2022-1",51.8
)

As always, thanks in advance. Pete

CodePudding user response:

Updat II: Removed prior versions:

  1. In your database there is only one january 2022 date
  2. in the dataframe we complete the dates of januare of 2022 using complete from tidyr package.
library(tidyverse)
library(lubridate)
X.df %>% 
  mutate(date = ymd(date)) %>% 
  group_by(month(date)) %>% 
  complete(date = seq(min(date), max(ceiling_date(date, unit = "month") - ddays(1)), by = 'day')) %>%
  fill(month) %>% 
  ggplot(aes(x = date, Download, colour = Download))  
  geom_line() 
  facet_wrap(~ month,  scale="free_x",  ncol = 1)  
  scale_colour_gradient(low="red",high="green", limits=c(0.0, 50), oob = squish)  
  scale_x_date(date_breaks = "1 day", date_labels =  "%d/%m", expand = c(0, 0))  
  coord_cartesian(ylim = c(0, 60))

enter image description here

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