Clean visualization themes

Source: R/gg_clean.R

Clean up plots from their defaults.

theme_clean(font_size = 12, font_family = "", center_axis_labels = FALSE)

theme_trueMinimal(font_size = 12, font_family = "", center_axis_labels = FALSE)

theme_plotly(vis, MB = FALSE)

theme_blank(vis, MB = FALSE)

Arguments

font_size

Font size for axis labels in theme_clean
font_family

Font family for axis labels in theme_clean
center_axis_labels

Logical. Center axis labels in theme_clean. Default is FALSE.
vis

A visualization created by ggplot2 or plotly.
MB

For plotly, an option to display the mode bar. Defaults to FALSE.

Details

From a gray background, to unnecessary gridlines, to by-default reference lines, some of the more popular visualization packages come out 75\ functions remove unnecessary gridlines, 'de-bold' the blacks, etc.

  • ggplot2: theme_clean This function takes a ggplot object and removes the gray background, gridlines and adds opacity to the default black axes and labels, allowing the pattern of the visual to be expressed in unimpeded fashion. theme_trueMinimal was the old name of this function and is still usable.

  • plotly: theme_plotly, theme_blank removes reference lines at zero, and some of its 'modebar' is unnecessary. Otherwise little is changed at this point, except for theme_blank, which is like theme_void for ggplot.

Note

You may continue to override any aspect of these themes. For example with ggplot2, you would just add a theme afterward just like you would any other plot.

Examples

library(visibly)
library(ggplot2)

data(mtcars)

ggplot(aes(wt, mpg), data=mtcars) +
  geom_point() +
  labs(title='Plot') +
  theme_clean()


ggplot(aes(wt, mpg), data=mtcars) +
  geom_point() +
  labs(title='Plot') +
  theme_clean(center_axis_labels = TRUE)


library(plotly)

#> 
#> Attaching package: ‘plotly’
#> The following object is masked from ‘package:ggplot2’:
#> 
#>     last_plot
#> The following object is masked from ‘package:stats’:
#> 
#>     filter
#> The following object is masked from ‘package:graphics’:
#> 
#>     layout
mtcars %>%
  plot_ly(x=~wt, y=~mpg, mode='markers') %>%
  theme_plotly()

#> No trace type specified:
#>   Based on info supplied, a 'scatter' trace seems appropriate.
#>   Read more about this trace type -> https://plot.ly/r/reference/#scatter
#> Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
#> Please use `arrange()` instead.
#> See vignette('programming') for more help
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_warnings()` to see where this warning was generated.

mtcars %>%
  plot_ly(x=~wt, y=~mpg, mode='markers') %>%
  theme_blank()

#> No trace type specified:
#>   Based on info supplied, a 'scatter' trace seems appropriate.
#>   Read more about this trace type -> https://plot.ly/r/reference/#scatter