How to avoid too much space around polar chart when drawing it on top of another plot-CodePudding

This is my dataframe:

my_df <-structure(list(Statistic = c("Shots on target %", "Shots on target %", 
"% of dribblers tackled", "% of dribblers tackled", "Ground passes", 
"Ground passes", "Passes Completed", "Passes Completed", "Live-ball passes", 
"Live-ball passes", "Passes Attempted (Right)", "Passes Attempted (Right)", 
"Passes Attempted", "Passes Attempted", "Successful Pressure %", 
"Successful Pressure %", "Pressures (Mid 3rd)", "Pressures (Mid 3rd)", 
"Switches", "Switches"), level = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 
4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L), satistics_fct = structure(c(1L, 
1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 
9L, 10L, 10L), .Label = c("Shots on target %", "% of dribblers tackled", 
"Ground passes", "Passes Completed", "Live-ball passes", "Passes Attempted (Right)", 
"Passes Attempted", "Successful Pressure %", "Pressures (Mid 3rd)", 
"Switches"), class = "factor"), color = c("black", "#A2AED2", 
"black", "#A2AED2", "black", "#8292C4", "black", "#647BB8", "black", 
"#3F68AD", "black", "#F5F5F5", "black", "#F5DDC8", "black", " #F5DDC8", 
"black", "#F3C8A2", "black", "#F3C8A2 "), y = c("flowers", "base", 
"flowers", "base", "flowers", "base", "flowers", "base", "flowers", 
"base", "flowers", "base", "flowers", "base", "flowers", "base", 
"flowers", "base", "flowers", "base"), statistics_n = c(31.3, 
10, 24.4, 10, 20.58, 10, 20.33, 10, 18.4, 10, 18.22, 10, 18.21, 
10, 13.5, 10, 10.92, 10, 10.82, 10)), class = c("tbl_df", "tbl", 
"data.frame"), row.names = c(NA, -20L))

With this dataframe I create this polar chart:

        palette_10 <- c('#EFFBF9','#EBF8F9', '#E7F3F8', '#E3ECF6', '#DFE5F4', '#EFFBF9',
                '#E7F3F8', '#EEDDD8', '#FCE1F3','black')
polar_chart <- ggplot(my_df %>%
         filter(y == 'flowers') %>%
         mutate(color = palette_10),
       aes(x = level , y =  statistics_n, group = y))  
  geom_col(aes(color = color, fill = color),show.legend = F, width = .95,
           position = 'stack')   
  
  scale_x_reverse()  
  
  theme(
    panel.grid = element_line(color  ='white'),
    plot.background = element_rect(color = 'blue', size = 5),
    plot.title = element_blank(),
    plot.margin = margin(0,0,0,0,'pt'),
    axis.text =  element_blank(),
    axis.title = element_blank(),
    axis.ticks.y =  element_blank()
  ) 
  coord_polar(theta = 'x',direction = -1) 
  geom_point(x = 6, y = 0, size = 20, color = 'black', fill = 'white', stroke = 15,
             shape = 21)

And then I want to include this polar chart in my base chart bellow:

#######################
df <- tibble(x = 0:1, y = 0:1)

base <- ggplot(df, aes(x,y))  
  scale_x_continuous(breaks = seq(0,2,.05)) 
  scale_y_continuous(breaks = seq(0,3,.05)) 
  
  coord_fixed(expand = c(0,0), xlim = c(0,2), ylim = c(0,3))  
  
  theme(panel.grid = element_line(color  ='red'))
  
base    annotation_custom(grob = ggplotGrob(polar_chart),
                    xmin = .9, xmax = 2,ymin = .9)

My question is: How can I avoid this empty space around my radial chart? I coloured with blue color to see the space between the plot area and the the "begining" of the chart which is completely empty.

I think I need to solve this before I make the bar chart becomes polar chart. But I dont know how to do this.

Any help?

CodePudding user response：

There seems to be a default 10% gutter on the radial scale

scale_y_continuous(expand = expansion(mult = c(0, -0.1)))

after scale_x_reverse seems to fix it.
(My first thought was scale_y_continuous(expand = c(0, 0)), but that didn't work.)

CodePudding user response：

If you can live with using awesome extension packages, I'd advise to use {cowplot} for drawing a plot on top of another plot.

library(tidyverse)
library(cowplot)

polar_chart <- ggplot(my_df %>%
                        filter(y == 'flowers') %>%
                        mutate(color = palette_10),
                      aes(x = level , y =  statistics_n, group = y))  
  geom_col(aes(color = color, fill = color),show.legend = F, width = .95,
           position = 'stack')   
  
  scale_x_reverse()  
## using a cowplot theme which has a transparent background 
  theme_minimal_grid()   
  theme(
    panel.grid = element_line(color  ='white'),
    plot.background = element_rect(color = 'blue', size = 5),
    plot.title = element_blank(),
    plot.margin = margin(0,0,0,0,'pt'),
    axis.text =  element_blank(),
    axis.title = element_blank(),
    axis.ticks.y =  element_blank()
  ) 
  coord_polar(theta = 'x',direction = -1) 
  geom_point(x = 6, y = 0, size = 20, color = 'black', fill = 'white', stroke = 15,
             shape = 21) 

df <- tibble(x = 0:1, y = 0:1)

base <-
  ggplot(df, aes(x,y))  
  scale_x_continuous(breaks = seq(0,2,.05)) 
  scale_y_continuous(breaks = seq(0,3,.05)) 
## I've removed the expand argument as this gave a warning
  coord_fixed(xlim = c(0,2), ylim = c(0,3))  
  theme(panel.grid = element_line(color  ='red'))

## Now here's the main trick 
ggdraw(base)  
  draw_plot(polar_chart, scale = .5)