I have several years of data and would like to plot the changes during the year. The chart for the whole year from January to December works fine. Now I want to focus only on some months (July to December). How can I change the x-axis? Since the x-axis has the format "date", I can't figure out how it works. I already tried "scale_x_datetime" and "scale_x_continuous" but I always get errors.
My data looks like this (example):
values Date
3108013109920 2016-12-25
3108434522236 2016-08-03
5426634673322 2017-01-07
6133906789675 2018-11-27
3679575645687 2018-04-08
3363868796745 2019-05-23
And this is my code so far:
cbPalette <- c("#000000", "#ff9208", "#2adfff", "#00d202", "#ffec16", "#f40300", "#384aff", "#8f0066")
p <- df %>%
# make datetime: force unique year
mutate(datetime = lubridate::make_datetime(2017, month, day)) %>%
ggplot()
geom_line(aes(x = datetime, y = values, color = factor(year)), lwd = 1)
scale_x_datetime(breaks = lubridate::make_datetime(2017,1:12), labels = month.abb)
scale_colour_manual(values=cbPalette)
labs(colour = "Year", x = "Date", y = "Number of water pixels")
theme_bw()
theme(axis.text=element_text(size=12),
axis.title=element_text(size=15))
theme(axis.title.x = element_text(vjust=-0.8),
axis.title.y = element_text(vjust=3),
axis.text.y = element_text(angle = 90, vjust = 1.5, hjust = 0.5))
theme(legend.title = element_text(size=15),
legend.text = element_text(size=12))
p
The code creates this plot, and I want to zoom into the red rectangle.
CodePudding user response:
We can create a plot with some made-up data (see below), using your plotting code:
p <- df %>%
mutate(datetime = make_datetime(2017, month, day)) %>%
ggplot()
geom_line(aes(x = datetime, y = values, color = factor(year)), lwd = 1)
scale_colour_manual(values = cbPalette)
labs(colour = "Year", x = "Date", y = "Number of water pixels")
theme_bw()
theme(axis.text = element_text(size = 12),
axis.title = element_text(size = 15),
axis.title.x = element_text(vjust = -0.8),
axis.title.y = element_text(vjust =3 ),
axis.text.y = element_text(angle = 90, vjust = 1.5, hjust = 0.5),
legend.title = element_text(size = 15),
legend.text = element_text(size =12))
Using your scale_x_datetime
, we can see this is similar to your own plot:
p scale_x_datetime(breaks = make_datetime(2017,1:12), labels = month.abb)
To zoom in, we need to add limits
to this scale:
p scale_x_datetime(breaks = make_datetime(2017,1:12),
labels = month.abb,
limits = make_datetime(2017, c(7, 12)))
Created on 2022-09-04 with reprex v2.0.2
Data used
library(tidyverse)
library(lubridate)
set.seed(1)
df <- data.frame(date = seq(as.Date("2015-01-01"), by = "15 day", length = 195),
values = rpois(195, 2) * runif(195, 10000, 180000)) %>%
mutate(day = day(date), year = year(date), month = month(date))
cbPalette <- c("#000000", "#ff9208", "#2adfff", "#00d202", "#ffec16",
"#f40300", "#384aff", "#8f0066")