Python Bokeh - Plotting Pluses 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 pluses on a graph. Plotting pluses on a graph can be done using the plus() method of the plotting module. plotting.figure.plus() Syntax : plus(parameters) Parameters : x : x-axis coordinates of the center the plus markers y : y-axis coordinates of the plus markers Returns : an object of class GlyphRenderer Example 1 : In this example we will be using the default values for plotting the graph. 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 Plus 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.plus(x, y, size = 20) # displaying the model show(graph) Output : Example 2 : In this example we will be plotting the pluses with dotted lines alongside other parameters and the size of the hexagons are in proportion to their values. 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 Plus 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 hexagons size = [i * 2 for i in y] # angle of the hexagons angle = 10 # fill color value fill_color = None # color of the line line_color = "red" # type of line line_dash = "dotted" # offset of line dash line_dash_offset = 1 # width of the dashes line_width = 10 # name of the legend legend_label = "Sample Pluses" # plotting the graph graph.plus(x, y, size = size, angle = angle, fill_color = fill_color, line_color = line_color, line_dash = line_dash, line_dash_offset = line_dash_offset, line_width = line_width, legend_label = legend_label) # displaying the model show(graph) Output : Comment More infoAdvertise with us Next Article Python Bokeh - Plotting Dots on a Graph 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 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 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 Python Bokeh - Plotting Rays 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 rays on a graph. Plotting rays on 2 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 Ovals 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 ovals on a graph. Plotting ovals 4 min read Like