The legend of a graph reflects the data displayed in the graph’s Y-axis. In Bokeh, the legends correspond to glyphs. This article how Legends appearing in the bokeh plot can be customized.
We can customize the legend with its several attributes such as location, color, line-color, font-size, font-style line width. We can modify it using the legend attribute with the required property name.
Syntax : legend.property_name=value
Parameter:
Here property name can take the following values
- location
- title
- label_text_font
- label_text_font_style
- label_text_color
- border_line_width
- border_line_color
- border_line_alpha
- background_fill_color
- background_fill_alpha
Approach
- Import module
- Draw a normal plot
- Customize accordingly
- Display plot
Example 1:
Python3
# import modulefrom bokeh.plotting import figure, show# create datacurrentList = [1, 2, 3, 4, 5]List1 = [i*2 for i in currentList]List2 = [i+2 for i in currentList]# plot dataplots = figure(title=" your Legend Customization")line = plots.line( currentList, List1, legend_label="Arrays .", line_color="blue", line_width=2)circle = plots.circle( currentList, List2, legend_label="List", fill_color="black", fill_alpha=0.4, line_color="blue", size=30,)# display legend in top right cornerplots.legend.location = "top_right"# give title to legendplots.legend.title = "Your observations"# customize legend appearanceplots.legend.label_text_font = "times"plots.legend.label_text_font_style = "italic"plots.legend.label_text_color = "red"# customize border and background of legendplots.legend.border_line_width = 15plots.legend.border_line_color = "pink"plots.legend.border_line_alpha = 0.5plots.legend.background_fill_color = "orange"plots.legend.background_fill_alpha = 0.3# display plotshow(plots) |
Output :
Example 2 :
Python3
# import modulefrom bokeh.plotting import figure, show# create datacurrentList = [1, 2, 3, 4, 5]List1 = [i*2 for i in currentList]List2 = [i+2 for i in currentList]# plot dataplots = figure(title="Legend Customization")line = plots.line(currentList, List1, legend_label="Arrays .", line_color="blue", line_width=2 )circle = plots.circle( currentList, List2, legend_label="List", fill_color="black", fill_alpha=0.5, line_color="blue", size=40,)# display legend in top left cornerplots.legend.location = "top_left"#give title to legendplots.legend.title = "Observation of plot"#customize legend appearanceplots.legend.label_text_font = "times"plots.legend.label_text_font_style = "bold"plots.legend.label_text_color = "black"# customize border and background of legendplots.legend.border_line_width = 9plots.legend.border_line_color = "green"plots.legend.border_line_alpha = 0.7plots.legend.background_fill_color = "magenta"plots.legend.background_fill_alpha = 0.2show(plots) |
Output :
Example 3 :
Python3
# import modulefrom bokeh.plotting import figure, show# create datacurrentList = [1, 2, 3, 4, 5]List1 = [i*2 for i in currentList]List2 = [i+2 for i in currentList]# plot dataplots = figure(title="Legend Customization")line = plots.line(currentList, List1, legend_label="Arrays .", line_color="blue", line_width=2 )circle = plots.circle( currentList, List2, legend_label="List", fill_color="black", fill_alpha=0.5, line_color="blue", size=50,)# display legend in top right cornerplots.legend.location = "top_center"# give title to legendplots.legend.title = " Your Observations "# customize legend appearanceplots.legend.label_text_font = "times"plots.legend.label_text_font_style = "normal"plots.legend.label_text_color = "red"# customize border and background of legendplots.legend.border_line_width = 3plots.legend.border_line_color = "grey"plots.legend.border_line_alpha = 0.8plots.legend.background_fill_color = "orange"plots.legend.background_fill_alpha = 0.2show(plots) |
Output
