- 1 year ago
Bokeh and how to make it into a GUI
Bokeh is a Python library for creating interactive visualizations and data-driven web applications. While Bokeh is primarily designed for creating web-based applications, you can integrate it with a GUI (Graphical User Interface) framework to create desktop applications that include Bokeh plots and interactive components.
To make Bokeh plots a part of a GUI application, you can use a GUI library like Tkinter, PyQt, or PySide. Below is a step-by-step guide to creating a simple desktop application that includes a Bokeh plot using Tkinter as the GUI framework:
Install Required Libraries:
First, make sure you have Bokeh and Tkinter installed. If you don't have them installed, you can install them usingpip
:pip install bokeh
pip install tk
Create the Bokeh Plot:
Begin by creating your Bokeh plot using standard Bokeh plotting commands. Here's an example:pythonfrom bokeh.plotting import figure, show
from bokeh.io import push_notebook, output_notebook
output_notebook()
p = figure(plot_width=400, plot_height=400)
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
show(p, notebook_handle=True)
This example creates a simple line plot using Bokeh.
Integrate with Tkinter:
Next, you need to integrate the Bokeh plot with the Tkinter GUI. Tkinter provides a canvas widget that can be used to display the Bokeh plot.pythonimport tkinter as tk
from bokeh.plotting import figure, show
from bokeh.io import push_notebook, output_notebook
output_notebook()
def create_bokeh_plot():
p = figure(plot_width=400, plot_height=400)
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
show(p, notebook_handle=True)
root = tk.Tk()
root.title("Bokeh Plot in Tkinter")
# Create a canvas to display the Bokeh plot
canvas = tk.Canvas(root, width=400, height=400)
canvas.pack()
# Call the function to create the Bokeh plot and get the notebook handle
notebook_handle = create_bokeh_plot()
# Embed the Bokeh plot in the Tkinter canvas
canvas.create_window(0, 0, window=notebook_handle, anchor=tk.NW)
root.mainloop()
In this example, we create a Tkinter window and a canvas widget to display the Bokeh plot. The
create_bokeh_plot()
function is used to generate the Bokeh plot and return its notebook handle. Then, we embed the Bokeh plot in the Tkinter canvas usingcreate_window
.Run the Application:
Save the above code in a Python file (e.g.,app.py
) and run it. You should see a Tkinter window with the Bokeh plot displayed inside it.
This is a basic example to get you started with integrating Bokeh plots into a Tkinter GUI. You can further customize the GUI, add more Bokeh plots, and include interactive components based on your application's requirements. If you prefer using PyQt or PySide as the GUI framework, the approach is similar, but you'll need to use the appropriate widgets provided by those libraries for embedding the Bokeh plot.