Rendering Bars
Similarly, we can render bars using vbar() function for vertical bars and hbar() function for horizontal bars.
Creating vbar
To draw vbar, we specify center x-coordinate, bottom, and top endpoints as shown in the below example:
Syntax:
p.vbar(x, bottom, top, color, width, fill_color,legend_label)
Code:
Python
# Bokeh librariesfrom bokeh.io import output_notebookfrom bokeh.plotting import figure, show# dataday = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]no_orders = [450, 628, 488, 210, 287, 791, 508, 639, 397, 943]# Output the visualization directly in the notebookoutput_notebook()# Create a figurep = figure(title='Bar chart', plot_height=400, plot_width=600, x_axis_label='Day', y_axis_label='Orders Received', x_minor_ticks=2, y_range=(0, 1000), toolbar_location=None)# The daily orders will be represented as vertical# bars (columns)p.vbar(x=day, bottom=0, top=no_orders, color='blue', width=0.75, fill_color='red', legend_label='Orders')# Let's check it outshow(p) |
Output:
Creating hbar
To draw hbar , we specify center y-coordinate, left and right endpoints, and height as shown in the below example:
Syntax:
p.hbar(y, height, left, right, color, width, fill_color, legend_label)
Example Code:
Python
# Bokeh librariesfrom bokeh.plotting import figure, show, output_file# dataday = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]no_orders = [450, 628, 488, 210, 287, 791, 508, 639, 397, 943]# Create a figurep = figure(title='Bar chart', plot_height=400, plot_width=600, x_axis_label='Orders Received', y_axis_label='Day', x_range=(0, 1000), toolbar_location=None)# The daily orders will be represented as # horizontal barsp.hbar(y=day, height=0.5, left=0, right=no_orders, color='blue', width=0.75, fill_color='red', legend_label='Orders')# Let's check it outshow(p)output_file("ex.html") |
Output:
Glyphs in Bokeh
Bokeh is a library of Python which is used to create interactive data visualizations. In this article, we will discuss glyphs in Bokeh. But at first let’s see how to install Bokeh in Python.
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