bt.plot() does not show graph in vscode's ipynb

[ck0099]

Note: Just in case this is a vscode error not a backtestingPY's, I have also created an issue under vscode: https://github.com/microsoft/vscode-jupyter/issues/15407

Expected Behavior

After executing the bt.plot(), should expect the output graph to be displayed directly under the cell that executed the code in notebook.

Actual Behavior

The graph is not plotted inside notebook. Instead it got displayed in a browser.

I even tried the following hack, but still no work:

import backtesting backtesting.set_bokeh_output(notebook=True)

Steps to Reproduce

Just code the backtesting.py sample code inside a vscode ipynb notebook, it will display this issue.

I even downgraded to bokeh==2.4.3, but still not work

macOS 12.6.8 VScode Version: 1.81.1

My installed packages:

appnope==0.1.3 asttokens==2.2.1 attrs==23.1.0 backcall==0.2.0 Backtesting==0.3.3 bokeh==2.4.3 comm==0.1.4 contourpy==1.1.0 cycler==0.11.0 debugpy==1.6.7 decorator==5.1.1 executing==1.2.0 fastjsonschema==2.18.0 fonttools==4.42.0 ipykernel==6.25.0 ipython==8.14.0 jedi==0.19.0 Jinja2==3.1.2 jsonschema==4.19.0 jsonschema-specifications==2023.7.1 jupyter_client==8.3.0 jupyter_core==5.3.1 kiwisolver==1.4.4 MarkupSafe==2.1.3 matplotlib==3.7.2 matplotlib-inline==0.1.6 nbformat==5.9.2 nest-asyncio==1.5.7 numpy==1.25.2 packaging==23.1 pandas==1.5.2 pandas-ta==0.3.14b0 parso==0.8.3 pexpect==4.8.0 pickleshare==0.7.5 Pillow==10.0.0 platformdirs==3.10.0 plotly==5.16.0 prompt-toolkit==3.0.39 psutil==5.9.5 ptyprocess==0.7.0 pure-eval==0.2.2 Pygments==2.16.1 pyparsing==3.0.9 python-dateutil==2.8.2 pytz==2023.3 PyYAML==6.0.1 pyzmq==25.1.0 referencing==0.30.2 rpds-py==0.9.2 seaborn==0.12.2 six==1.16.0 stack-data==0.6.2 TA-Lib==0.4.27 tenacity==8.2.2 tornado==6.3.2 traitlets==5.9.0 typing_extensions==4.7.1 tzdata==2023.3 wcwidth==0.2.6 xyzservices==2023.7.0

[ck0099]

I also tried this, but still not work:

bt.plot(open_browser=False)

[nethinwei]

Same issue.

[Lxhooooo]

The same problem, but it is in colab TypeError: bokeh.models.tools.Toolbar() got multiple values for keyword argument 'logo'

[champon1020]

As the quick fix, you can use plot() method by installing bokeh==3.1.1.

[kernc]

I even tried the following hack, but still no work:

import backtesting
backtesting.set_bokeh_output(notebook=True)

Might be that VSCode doesn't permit loading HTML + JS notebook widgets. It's the same in PyCharm ... :thinking:

[sternline]

Seems this might be a vscode issue. As a temporary solution, open the generated .html file in file explorer and open with web browser to view the plot.

[arindampradhan]

Solved the issue by appending the following

import os
import bokeh
os.environ['JPY_PARENT_PID'] = '3'
bokeh.__version__

from bokeh.io import output_notebook

output_notebook()