Python Bokeh - Plotting Hexagon Dots on a Graph Last Updated : 10 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 hexagon dots on a graph. Plotting hexagon dots on a graph can be done using the hex_dot() method of the plotting module. plotting.figure.hex_dot() Syntax : hex_dot(parameters) Parameters : x : x-coordinates of the center of the hexagon dot markers y : y-coordinates of the center of the hexagon dot markers size : diameter of the hexagon dot markers, default is 4 angle : angle of rotation of the hexagon dot markers, default is 0 angle_units : unit of the angle, default is rad fill_alpha : fill alpha value of the hexagon dot markers fill_color : fill color value of the hexagon 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 Hexagon 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.hex_dot(x, y, size = 25, fill_color = None) # displaying the model show(graph) Output : Example 2 : In this example we will be plotting the hexagon 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 Hexagon 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 Hexagons" # plotting the graph graph.hex_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 : Comment More infoAdvertise with us Next Article Company Preparation Y Yash_R Follow Improve Article Tags : Data Visualization AI-ML-DS Python-Bokeh Python Bokeh-plotting-figure-class AI-ML-DS With Python +1 More Similar Reads Interview PreparationInterview Preparation For Software DevelopersMust Coding Questions - Company-wise Must Do Coding Questions - Topic-wiseCompany-wise Practice ProblemsCompany PreparationCompetitive ProgrammingSoftware Design-PatternsCompany-wise Interview ExperienceExperienced - Interview ExperiencesInternship - Interview ExperiencesPractice @GeeksforgeeksProblem of the DayTopic-wise PracticeDifficulty Level - SchoolDifficulty Level - BasicDifficulty Level - EasyDifficulty Level - MediumDifficulty Level - HardLeaderboard !!Explore More...Data StructuresArraysLinked ListStackQueueBinary TreeBinary Search TreeHeapHashingGraphAdvance Data StructuresMatrixStringAll Data StructuresAlgorithmsAnalysis of AlgorithmsSearching AlgorithmsSorting AlgorithmsPattern SearchingGeometric AlgorithmsMathematical AlgorithmsRandomized AlgorithmsGreedy AlgorithmsDynamic ProgrammingDivide & ConquerBacktrackingBranch & BoundAll AlgorithmsProgramming LanguagesCC++JavaPythonC#Go LangSQLPHPScalaPerlKotlinWeb TechnologiesHTMLCSSJavaScriptBootstrapTailwind CSSAngularJSReactJSjQueryNodeJSPHPWeb DesignWeb BrowserFile FormatsComputer Science SubjectsOperating SystemsDBMSComputer NetworkComputer Organization & ArchitectureTOCCompiler DesignDigital Elec. & Logic DesignSoftware EngineeringEngineering MathematicsData Science & MLComplete Data Science CourseData Science TutorialMachine Learning TutorialDeep Learning TutorialNLP TutorialMachine Learning ProjectsData Analysis TutorialTutorial LibraryPython TutorialDjango TutorialPandas TutorialKivy TutorialTkinter TutorialOpenCV TutorialSelenium TutorialGATE CSGATE CS NotesGate CornerPrevious Year GATE PapersLast Minute Notes (LMNs)Important Topic For GATE CSGATE CoursePrevious Year Paper: CS exams Like