I can do anything with ggplot2. In this post, I will teach you how to change the text color, font, size of your ggplot2 plots, by using text() function.
The package in the previous example, ggplot2, is a fantastic little R package that we use to make graphs in R. We will use element_text() to customize the text in our graphs. If you are new to ggplot2, it is a very handy package that makes creating graphs very easy, which we will need for this blog. I will go through the steps to customize text color, font size and font family in ggplot2 with this package.
ggplot2 is a great package for data visualizations, but one of the most important features it lacks is configurability. Specifically, there is no way to change the text color, font or size of a plot element. This tutorial describes several ways to change these attributes in ggplot2 while keeping the same aesthetics.
The ggplot2 theme system gives us great control over the appearance of non-data elements in the graph. This system allows you to make your created graphics more subtle and attractive. The ggplot2 theme system comes with several element_ functions,
They determine what the non-data elements of the story should look like. In this tutorial, we will focus on the element_text() theme element. We will learn 10 tips for finer control of font size, color and outline for many text elements in images, such as B. Title, subtitle, caption and legend. We will use the theme() function in conjunction with various story-related elements. When creating graphs with ggplot2, it automatically selects appropriate values for different aspects of the article text. There are a total of 10 (at least?) different aspects/text elements in the graph created with ggplot2. The figure below shows the anatomy of the text elements and the ggplot2 keyword that describes that element (Phew….). I have achieved my life goal: to make a diagram of the anatomy of an object :-)). With element_text(), we can change the appearance of the text. A z. B. To control the appearance of the plot title, we take the plot.title element as an argument to theme() and use element_text() to set the color, font, and size of the plot title. Tips for inserting text into ggplot2 images with element_text() Here’s a list of (the most common?) elements we can handle with element_text().
- axis.title.x: to define the label/title of the x axis
- axis.title.y: to define the label/title of the y axis
- axis.text.x: to define the tick marks on the x-axis
- axis.text.y: to define the y-axis markers
- legend.title : to adapt the title text of the legend
- legend.text : to adapt the text of the legend
- title of the plot : Definition of parcel title
- plot.subtitle : Define the subtitle of the plot
- plot.caption : to define the legend of the plot
- plot.tag : to define the plot tag
Let’s start by creating a scatterplot with ggplot2 with the usual text annotations such as title, subtitle, caption and labels. library(tidyverse) library(palmerpenguins) theme_set(theme_bw(16)) We use the Palmer penguin data to create a scatter diagram. Check labs() to add variations to the diagram. We use the theme_set() option to create the image in a black and white theme with a predefined font size. p<- Penguins %>% drop_na() %>% ggplot(aes(x=end_length_mm, y=foot_length_mm, color=species, shape=sex))+ geom_point()+ labs(title=Palmer’s penguins, subtitle=end_length vs. length, caption=cmdlinetips.com, tag=’A’ ) p And this is what the scatter diagram looks like. We saved the code to create the story as a variable and use it to customize the 10 different text elements of the ggplot2 theme with element_text(). How to customize ggplot2 text with element_text()? With element_text(), we can modify various aspects of the text, as shown below. element_text( family = NULL, face = NULL, color = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL, color = NULL, margin = NULL, debug = NULL, inherit.blank = FALSE ) However, in this article we will focus on how to customize the text color, text size, font family and font outline (bold or not). We can use the axis.title.x element of element_text() to change the color, size and angle of the caption text or x-axis title. p + theme(axis.title.x = element_text(size=16, color=purple, face=bold, angle=0)) ggsave(customize_x_axis_title_with_element_text_theme_ggplot2.png) In this example we have set a size of 16, a purple color and a bold font for the x-axis label. Adjust title X-axis We can use the element axis.title.y of the element_text() function to change the color, size and angle of the label or title text on the y axis. p + theme(axis.title.y = element_text(size=16, color=purple, face=bold, angle=90)) ggsave(customize_y_axis_title_with_element_text_theme_ggplot2.png) In this example we have set a size of 16, a purple color, an angle of 90 and a bold font for the y-axis label. Adjust title Y-axis We can use the axis.text.x element of the element_text() function to change the color, size, and angle of the check mark text on the x-axis. # Tick marks on x axis p + theme(axis.text.x= element_text(family=Tahoma, face=bold, color=black, size=10)) ggsave(customize_x_axis_tick_text_with_element_text_theme_ggplot2.png) In this example we set size=10, color=black and font bold for the label of the x-axis. In addition, we will also change the font Tahoma with the arguments family. Adjust x-axis tick text ggplot2 We can use the element axis.text.y from element_text() to change the color, size and angle of the y-axis text. # p + theme(axis.text.y = element_text(family = Tahoma, face=bold, color=black, size=10)) ggsave(customize_y_axis_tick_text_with_element_text_theme_ggplot2.png) In this example we set size=10, color=black and font bold for the label of the x-axis. Adjust y-axis text with element_text() We use the legend.title element of the element_text() function to change the color, size and angle of the legend text. p + theme(legend.title=element_text(color=purple, face=bold,size=12)) gsave(customize_legend_title_text_with_element_text_theme_ggplot2.png) In this example we set the size=12, the color=purple and the font bold for the title of the caption. Adjust caption text with element_text() We use the element legend.text of the function element_text() to change the color, size and angle of the legend text. #legend.text = element_text(color, size, face) p + theme(legend.text=element_text(face=bold, color=green,size=10)) ggsave(customize_legend_text_with_element_text_theme_ggplot2.png) In this example we set the size=12, the color=green and the font bold for the caption text. Adjust caption text with element_text() We use the plot.title element of element_text() to change the color and size of the plot title text. Here we have set size=24, color=blue and bold as the font for the story title. #library(extrafont) p + theme(plot.title= element_text(size=24, color=blue, face=bold, family = Tahoma)) ggsave(customize_plot_title_with_element_text_theme_ggplot2.png) Adjust parcel title with element_text() We use the plot.subtitle element of element_text() to change the color and size of the plot title text. Here we set size=16, color=red and bold for the subtitle of the topic. p + theme(plot.subtitle= element_text(size=16, color=red, face=bold)) ggsave(customize_plot_subtitle_with_element_text_theme_ggplot2.png) Customize picture captions with element_text() To change the size, color and appearance of the text of the plot legend, we can use the plot.caption element. p + theme(plot.caption= element_text(size=16, color=pink, face=bold)) ggsave(customize_plot_caption_with_element_text_theme_ggplot2.png) Adjust plot label with element_text() Similarly, we can change the size, color and area of a plot tag by using the plot.tag element with element_text(). p + theme(plot.tag = element_text(size=16, color=red, face=bold)) ggsave(customize_plot_tag_with_element_text_theme_ggplot2.png) Customize the plot tag with element_text() This is a very simple tutorial to show how to customize the text colors, font, size and so on in ggplot2.. Read more about geom_text color and let us know what you think.
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