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
  • Bokeh
  • Matplotlib
  • Pandas
  • Seaborn
  • Ggplot
  • Plotly
  • Altair
  • Networkx
  • Machine Learning Math
  • Machin Learning
  • Data Analysis
  • Deep Learning
  • Deep Learning Projects
  • NLP
  • Computer vision
  • Data science
  • Machin Learning Interview question
  • Deep learning interview question
Open In App
Next Article:
Python Bokeh - Plotting Diamond Crosses on a Graph
Next article icon

Python Bokeh - Plotting Diamond Dots on a Graph

Last Updated : 03 Jul, 2020
Comments
Improve
Suggest changes
Like Article
Like
Report
Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot diamond with dots on a graph. Plotting diamond with dots on a graph can be done using the diamond_dot() method of the plotting module.

plotting.figure.diamond_dot()

Syntax : diamond_dot(parameters) Parameters :
  • x : x-coordinates of the center of the diamond dot markers
  • y : y-coordinates of the center of the diamond dot markers
  • size : diameter of the diamond dot markers, default is 4
  • angle : angle of rotation of the diamond dot markers, default is 0
  • angle_units : unit of the angle, default is rad
  • fill_alpha : fill alpha value of the diamond dot markers
  • fill_color : fill color value of the diamond dot markers
  • line_alpha : percentage value of line alpha, default is 1
  • line_cap : value of line cap for the line, default is butt
  • line_color : color of the line, default is black
  • line_dash : value of line dash such as :
    • solid
    • dashed
    • dotted
    • dotdash
    • dashdot
    default is solid
  • line_dash_offset : value of line dash offset, default is 0
  • line_join : value of line join, default in bevel
  • line_width : value of the width of the line, default is 1
  • name : user-supplied name for the model
  • tags : user-supplied values for the model
Other Parameters :
  • alpha : sets all alpha keyword arguments at once
  • color : sets all color keyword arguments at once
  • legend_field : name of a column in the data source that should be used
  • legend_group : name of a column in the data source that should be used
  • legend_label : labels the legend entry
  • muted : determines whether the glyph should be rendered as muted or not, default is False
  • name : optional user-supplied name to attach to the renderer
  • source : user-supplied data source
  • view : view for filtering the data source
  • visible : determines whether the glyph should be rendered or not, default is True
  • x_range_name : name of an extra range to use for mapping x-coordinates
  • y_range_name : name of an extra range to use for mapping y-coordinates
  • level : specifies the render level order for this glyph
Returns : an object of class GlyphRenderer
Example 1 :In this example we will be using the default values for plotting the graph. We have provided the size and fill_color attributes to make the glyph visible. Python3
# importing the modules from bokeh.plotting import figure, output_file, show     # file to save the model output_file("gfg.html")     # instantiating the figure object graph = figure(title = "Bokeh Diamond Dot Graph")   # the points to be plotted x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] y = [i ** 2 for i in x]  # plotting the graph graph.diamond_dot(x, y, size = 25, fill_color = None)   # displaying the model show(graph) 
Output : Example 2 :In this example we will be plotting the diamond dots where the sizes are in proportion to their values and various other parameters. Python3
# importing the modules from bokeh.plotting import figure, output_file, show     # file to save the model output_file("gfg.html")     # instantiating the figure object graph = figure(title = "Bokeh Diamond Dot Graph")   # name of the x-axis graph.xaxis.axis_label = "x-axis"    # name of the y-axis graph.yaxis.axis_label = "y-axis"   # the points to be plotted x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] y = [i ** 2 for i in x]   # size of the diamonds size = [i * 2 for i in y]   # angle of the diamonds angle = 10  # fill color value fill_color = "yellow"  # color of the line line_color = "red"  # name of the legend legend_label = "Sample Dashes"    # plotting the graph graph.diamond_dot(x, y,                   size = size,                   angle = angle,                   fill_color = fill_color,                   line_color = line_color,                   legend_label = legend_label)     # displaying the model show(graph) 
Output :

Next Article
Python Bokeh - Plotting Diamond Crosses on a Graph

Y

Yash_R
Improve
Article Tags :
  • Data Visualization
  • AI-ML-DS
  • Python-Bokeh
  • Python Bokeh-plotting-figure-class
  • AI-ML-DS With Python

Similar Reads

  • Python Bokeh - Plotting Diamonds on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot diamonds on a graph. Plotting dia
    4 min read
  • Python Bokeh - Plotting Dots on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot dots on a graph. Plotting dots on
    4 min read
  • Python Bokeh - Plotting Diamond Crosses on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot diamond with crosses on a graph.
    4 min read
  • Python Bokeh - Plotting Dashes on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot dashes on a graph. Plotting dashe
    4 min read
  • Python Bokeh - Plotting Hexagon Dots on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot hexagon dots on a graph. Plotting
    4 min read
  • Python Bokeh - Plotting Ellipses on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot ellipses on a graph. Plotting ell
    4 min read
  • Python Bokeh - Plotting Xs on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot Xs on a graph. Plotting Xs on a g
    2 min read
  • Python Bokeh – Plotting Ys on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot Ys on a graph. Plotting Ys on a g
    2 min read
  • Python Bokeh - Plotting Squares with Dots on a Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot squares with dots on a graph. Plo
    2 min read
  • Python Bokeh - Plotting a Line Graph
    Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot a line graph. Plotting a line gra
    4 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