This video shows how to generate a Bokeh visualization inline within a Jupyter notebook. To follow along with the example, you will need Jupyter installed.
More information about
output_notebook() can be found in the Bokeh official docs.
# Bokeh Libraries from bokeh.io import output_notebook from bokeh.plotting import figure, show # The figure will be right in my Jupyter Notebook output_notebook() # Set up a generic figure() object fig = figure() # See what it looks like show(fig)
john09 on June 19, 2019
Great tutorial. I can run Python scripts directly, no problem. Unfortunately, I can’t get the Jupyter notebook to work. I am using Pycharm and started Jupyter notebook as you suggested from the PyCharm terminal. In the web page, the Python syntax is not highlighted and when I try to run, I just get another “In[ ]” box. I don’t know anything about Jupyter notebook. I do see “Connecting to Kernel” in yellow box. I’m guessing that this webpage needs to connect to some kind of Python server. (I’ve got 40 years of coding experience in many languages but am very new to Python).