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 multiple lines on a graph. Plotting multiple lines on a graph can be done using the multi_line() method of the plotting module.
plotting.figure.multi_line()
Syntax : multi_line(parameters)
Parameters :
- xs : x-coordinates of the lines
- ys : y-coordinates of the lines
- 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.
# 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 Multi Line Graph") # the points to be plotted xs = [[1, 2, 3, 4, 5], [-4, -2, 0, 2, 4]] ys = [[5, 3, 8, 0], [5, -4, 10, -2, 5]] # plotting the graph graph.multi_line(xs, ys) # displaying the model show(graph) |
Output :
Example 2 : In this example we will be plotting the multiple lines with various other parameters
# importing the modules from bokeh.plotting import figure, output_file, show from bokeh.palettes import magma # file to save the model output_file("gfg.html") # instantiating the figure object graph = figure(title = "Bokeh Multiple Line 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 = [n for n in range(-100, 101)] x.reverse() xs = [[n, 0] for n in x] y1 = [n for n in range(1, 101)] y1.reverse() y = [n for n in range(1, 101)] + [0] + y1 ys = [[0, n] for n in y] # color of the lines line_color = magma(201) # plotting the graph graph.multi_line(xs, ys, line_color = line_color) # displaying the model show(graph) |
Output :
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