Plotly object not displayed by ipywidgets Button
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Beschreibung
Description
I am not sure if this is a bug or just something that is not yet supported. When trying to display plotly plots (plotly object) by clicking the Button widget, I run into some issues. Regarding the Databricks issue, I have also contacted them as I am not sure that error is on the plotly side. The Button displays other objects (such as their IntSlider) correctly.
Local
Plotly object is simply not displayed (no error is thrown). Same happens if the fig is defined outside the on_click function and only fig.show() is called:
Databricks
Uncaught ReferenceError: Plotly is not defined is thrown. Same happens even if plotly is defined at any place (e.g. inside the on_click function).
Reproduce
Minimal working example code:
import ipywidgets as widgets
import plotly.graph_objects as go
output_button = widgets.Output()
button = widgets.Button(
description='Fail to show plotly object',
disabled=False,
button_style='success',
icon='',
layout=widgets.Layout(width='480px', height='60px'),
style={'description_width':'initial'})
def fun_output(b):
with output_button:
print("Normal output works!")
fig = go.Figure()
fig.add_scatter(
x = [1, 2, 3, 4],
y = [3, 4, 5, 6],
opacity=0.8)
fig.show()
print("Plotly object not displayed!")
button.on_click(fun_output)
display(button, output_button)
Expected behavior
Expected the Plotly plot to be shown.
Context
- ipywidgets version 8.0.6
- Operating System and version: Win10
- Browser and version: /
Troubleshoot Output
sys.version:
3.10.0 | packaged by conda-forge | (default, Nov 10 2021, 13:20:59) [MSC v.1916 64 bit (AMD64)]
platform.platform():
Windows-10-10.0.19044-SP0
where jupyter:
C:\Users<user_name>.conda\envs\sandbox\Scripts\jupyter.exe
pip list:
Package Version
----------------------------- ---------
asttokens 2.2.1
attrs 23.1.0
backcall 0.2.0
backports.functools-lru-cache 1.6.4
certifi 2022.12.7
colorama 0.4.6
contourpy 1.0.7
cycler 0.11.0
debugpy 1.5.1
decorator 5.1.1
et-xmlfile 1.1.0
executing 1.2.0
fastjsonschema 2.16.3
fonttools 4.38.0
importlib-metadata 6.0.0
ipykernel 6.15.0
ipython 8.10.0
ipywidgets 8.0.6
jedi 0.18.2
jsonschema 4.17.3
jupyter_client 8.0.3
jupyter_core 5.2.0
jupyterlab-widgets 3.0.7
kiwisolver 1.4.4
llvmlite 0.39.1
matplotlib 3.6.3
matplotlib-inline 0.1.6
nbformat 5.8.0
nest-asyncio 1.5.6
numba 0.56.4
numpy 1.24.1
openpyxl 3.1.1
packaging 23.0
pandas 1.5.3
parso 0.8.3
pickleshare 0.7.5
Pillow 9.4.0
pip 22.3.1
platformdirs 3.0.0
plotly 5.14.1
prompt-toolkit 3.0.36
psutil 5.9.0
pure-eval 0.2.2
Pygments 2.14.0
pyparsing 3.0.9
pyrsistent 0.19.3
python-dateutil 2.8.2
pytz 2022.7.1
pywin32 305.1
pyzmq 23.2.0
setuptools 65.6.3
six 1.16.0
stack-data 0.6.2
tenacity 8.2.2
tornado 6.2
traitlets 5.9.0
typing_extensions 4.4.0
wcwidth 0.2.6
wheel 0.37.1
widgetsnbextension 4.0.7
wincertstore 0.2
zipp 3.14.0
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne mit dem Minimalbeispiel an den Einstiegspunkten fun_output callback, output_button und button.on_click und reproduziere es mit den gemeldeten Versionen ipywidgets 8.0.6 und plotly 5.14.1. Vergleiche lokales Verhalten und Databricks-Verhalten, einschließlich des gemeldeten Browserfehlers; abgeschlossen ist die Aufgabe, wenn die Plotly-Figur nach dem Klicken auf den Button in beiden Kontexten gerendert wird.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- jupyter-notebook, python
- Bereich
- frontend
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Klar beschrieben
- Anfängerfreundlichkeit
- 35/100