Skip to content
geeksforgeeks
  • Courses
    • DSA to Development
    • Get IBM Certification
    • Newly Launched!
      • Master Django Framework
      • Become AWS Certified
    • For Working Professionals
      • Interview 101: DSA & System Design
      • Data Science Training Program
      • JAVA Backend Development (Live)
      • DevOps Engineering (LIVE)
      • Data Structures & Algorithms in Python
    • For Students
      • Placement Preparation Course
      • Data Science (Live)
      • Data Structure & Algorithm-Self Paced (C++/JAVA)
      • Master Competitive Programming (Live)
      • Full Stack Development with React & Node JS (Live)
    • Full Stack Development
    • Data Science Program
    • All Courses
  • Tutorials
    • Data Structures & Algorithms
    • ML & Data Science
    • Interview Corner
    • Programming Languages
    • Web Development
    • CS Subjects
    • DevOps And Linux
    • School Learning
  • Practice
    • Build your AI Agent
    • GfG 160
    • Problem of the Day
    • Practice Coding Problems
    • GfG SDE Sheet
  • Contests
    • Accenture Hackathon (Ending Soon!)
    • GfG Weekly [Rated Contest]
    • Job-A-Thon Hiring Challenge
    • All Contests and Events
  • Data Visualization
  • Statistics in R
  • Machine Learning in R
  • Data Science in R
  • Packages in R
  • Data Types
  • String
  • Array
  • Vector
  • Lists
  • Matrices
  • Oops in R
Open In App
Next Article:
How to plot a subset of a dataframe using ggplot2 in R ?
Next article icon

How to save a plot using ggplot2 in R?

Last Updated : 17 Jun, 2021
Comments
Improve
Suggest changes
Like Article
Like
Report

In this article, we are going to see how to save GGPlot in R Programming language. ggplot2 is a plotting package in R that is used to create complex plots from data specified in a data frame. It provides a more programmatic interface for specifying which variables to plot on to the graphical device, how they are displayed, and general visual properties. The package can be installed and downloaded into the working space using the following syntax : 

install.packages("ggplot2")

The ggplot() method is used to create different types of plots on the screen. It is used to bind a data frame to the data argument of the plot. It is used to also define the aesthetics and component mappings using the aes() attribute of the graph. It is used to create complex plots by selecting which variables are to be plotted and how to present them in the graph, for instance, the coordinates, shape, color, etc. The graphical representations can also be created in the form of geoms specific to the type of plot to be created. 

ggplot (data , mapping = aes(x, y)) + geom_point()

Method 1: Using ggsave()

The ggsave() is a method in the ggplot2 package which is used for saving the last plot that was displayed in the screen. It also makes assumption about the type of graphics device from the specified extension. The filename needs to be specified into the function call. The plot can be saved with both a .png or .pdf extension. 

Syntax: ggsave( filename, plot = last_plot(), width = NA, height = NA, units = c("in", "cm", "mm"),  path )

Arguments : 

  • filename - The character string name to assign to the plot
  • plot - By default, it is used to save the last displayed plot.
  • width, height, units - The dimensions of the plot
  • path - The path to save the image can also be specified

Code:

R
# importing the reqd libraries library(ggplot2)  # defining the x and y coordinates xpos <- 1:5 ypos <- xpos**3  # creating a data frame data_frame <- data.frame(xpos = xpos, ypos = ypos)  # creating a plot graph <- ggplot(data_frame, aes(xpos,ypos)) +    geom_point()  # saving the plot as pdf  ggsave("cubegfg.pdf", graph, path = "/Users/mallikagupta/Desktop") 

Output

Saving 7.47 x 5.96 in image

The plot can also be saved to the working space without using the ggsave() method. The png() method in R can be used to save a ggplot in the png format into the specified directory. The name of the plot along with the path name can be specified as an argument of the method. 

png(plot-path)

Method 2: Using dev.off()

The dev.off() method is then used to terminate this graphical device window and save the plot. 

R
# importing the reqd libraries library(ggplot2)  # defining the x and y coordinates xpos <- 1:5 ypos <- xpos**3  # creating a data frame data_frame <- data.frame(xpos = xpos, ypos = ypos)  # creating a plot graph <- ggplot(data_frame, aes(xpos,ypos)) +    geom_point() png("Check.png") print(graph) dev.off() 

Output:


Next Article
How to plot a subset of a dataframe using ggplot2 in R ?

Y

yashkumar0457
Improve
Article Tags :
  • R Language
  • R-ggplot

Similar Reads

  • How to Plot 3D Scatter Diagram Using ggplot in R
    The ggplot2 package in R is one of the most popular tools for creating complex and aesthetically pleasing plots. However, ggplot2 is primarily designed for 2D plotting, which presents a challenge when it comes to creating 3D scatter plots. While ggplot2 does not natively support 3D plotting, it can
    4 min read
  • How to plot a subset of a dataframe using ggplot2 in R ?
    In this article, we will discuss plotting a subset of a data frame using ggplot2 in the R programming language. Dataframe in use:  AgeScoreEnrollNo117700521880103177915419752051885256199630717903581971409188345 To get a complete picture, let us first draw a complete data frame. Example: [GFGTABS] R
    8 min read
  • How to change the legend shape using ggplot2 in R?
    In this article, we will discuss how to change only legend shape using ggplot2 in R programming language. Here ScatterPlot is used the same can be applied to any other plot. Syntax : sample(x, size, replace = TRUE) Parameters : x : either a vector of one or more values from which we want to choose t
    3 min read
  • How To Make Scree Plot in R with ggplot2
    In this article, we are going to see how can we plot a Scree plot in R Programming Language with ggplot2.  Loading dataset: Here we will load the dataset, (Remember to drop the non-numerical column). Since the iris flower dataset contains a species column that is of character type so we need to drop
    2 min read
  • How to change plot area margins using ggplot2 in R?
    In the R programming language, ggplot2 is a popular library for creating data visualizations. One of the key benefits of using ggplot2 is the ability to customize the appearance of plots in a variety of ways. In this article, we will explore some of the ways you can customize the appearance of your
    3 min read
  • How to change legend title in R using ggplot ?
    A legend helps understand what the different plots on the same graph indicate. They basically provide labels or names for useful data depicted by graphs. In this article, we will discuss how legend names can be changed in R Programming Language. Let us first see what legend title appears by default.
    2 min read
  • Add Text to ggplot2 Plot in R
    In this article, we are going to see how to add Text to the ggplot2 plot in R Programming Language. To do this annotate() is used. It is useful for adding small annotations (such as text labels) or if you have your data in vectors, and for some reason don't want to put them in a data frame. Syntax:
    2 min read
  • How to set axis limits in ggplot2 in R?
    In this article, we are going to see how to set the axis limit in ggplot2 in R Programming Language. Method 1: Using coord_cartesian() This method is most helpful as it displays the plot within the limits of the axis without clipping the actual data. It just zooms in and shows the area under limits.
    2 min read
  • How to plot a graph in R using CSV file ?
    To plot a graph in R using a CSV file, we need a CSV file with two-column, the values in the first column will be considered as the points at the x-axis and the values in the second column will be considered as the points at the y-axis. In this article, we will be looking at the way to plot a graph
    2 min read
  • How to Make ECDF Plot with ggplot2 in R?
    Empirical Cumulative Distribution Function Plot (ECDF) helps us to visualize one or more distributions. ECDF plot is a great alternative for histograms and it has the ability to show the full range of data without the need for various parameters. In this article, we will discuss how to draw an ECDF
    3 min read
geeksforgeeks-footer-logo
Corporate & Communications Address:
A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)
Registered Address:
K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305
GFG App on Play Store GFG App on App Store
Advertise with us
  • Company
  • About Us
  • Legal
  • Privacy Policy
  • In Media
  • Contact Us
  • Advertise with us
  • GFG Corporate Solution
  • Placement Training Program
  • Languages
  • Python
  • Java
  • C++
  • PHP
  • GoLang
  • SQL
  • R Language
  • Android Tutorial
  • Tutorials Archive
  • DSA
  • Data Structures
  • Algorithms
  • DSA for Beginners
  • Basic DSA Problems
  • DSA Roadmap
  • Top 100 DSA Interview Problems
  • DSA Roadmap by Sandeep Jain
  • All Cheat Sheets
  • Data Science & ML
  • Data Science With Python
  • Data Science For Beginner
  • Machine Learning
  • ML Maths
  • Data Visualisation
  • Pandas
  • NumPy
  • NLP
  • Deep Learning
  • Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • ReactJS
  • NextJS
  • Bootstrap
  • Web Design
  • Python Tutorial
  • Python Programming Examples
  • Python Projects
  • Python Tkinter
  • Python Web Scraping
  • OpenCV Tutorial
  • Python Interview Question
  • Django
  • Computer Science
  • Operating Systems
  • Computer Network
  • Database Management System
  • Software Engineering
  • Digital Logic Design
  • Engineering Maths
  • Software Development
  • Software Testing
  • DevOps
  • Git
  • Linux
  • AWS
  • Docker
  • Kubernetes
  • Azure
  • GCP
  • DevOps Roadmap
  • System Design
  • High Level Design
  • Low Level Design
  • UML Diagrams
  • Interview Guide
  • Design Patterns
  • OOAD
  • System Design Bootcamp
  • Interview Questions
  • Inteview Preparation
  • Competitive Programming
  • Top DS or Algo for CP
  • Company-Wise Recruitment Process
  • Company-Wise Preparation
  • Aptitude Preparation
  • Puzzles
  • School Subjects
  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Social Science
  • English Grammar
  • Commerce
  • World GK
  • GeeksforGeeks Videos
  • DSA
  • Python
  • Java
  • C++
  • Web Development
  • Data Science
  • CS Subjects
@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox
Improvement
Suggest Changes
Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.
geeksforgeeks-suggest-icon
Create Improvement
Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.
geeksforgeeks-improvement-icon
Suggest Changes
min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences
Admission Experiences
Career Journeys
Work Experiences
Campus Experiences
Competitive Exam Experiences