jupyter-notebookplotly
Plotly chart not displayed in jupyter notebook
I want to generate and display plotly charts in a jupyter notebook but for reasons I don't understand, its not working. Here's my simple code:
import plotly.offline as pyo
import plotly.graph_objects as go
pyo.init_notebook_mode()
summary = {'text/csv': 2, 'application/json': 1}
summary = {'Apples': 30, 'Bananas': 45, 'Cherries': 25}
mimetypes = list(summary.keys())
counts = list(summary.values())
fig = go.Figure()
fig.add_trace(go.Bar(x=mimetypes, y=counts))
fig.update_layout(
title='Fruit Count',
xaxis_title='Fruit',
yaxis_title='Count'
)
# Show plot
fig.show()
When I execute the cell it displays blank output:
Can anyone suggest why its not displaying anything?
Extra info:
I'm using python 3.12
The packages I installed (from requirements.txt):
google-api-python-client
google-auth-httplib2
google-auth-oauthlib
jupyter
plotly
pandas
(google packages are needed for something else, I only mention here for completeness)
- List of all installed packages is:
anyio==4.4.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
beautifulsoup4==4.12.3
bleach==6.1.0
cachetools==5.3.3
certifi==2024.7.4
cffi==1.16.0
charset-normalizer==3.3.2
comm==0.2.2
debugpy==1.8.2
decorator==5.1.1
defusedxml==0.7.1
executing==2.0.1
fastjsonschema==2.20.0
fqdn==1.5.1
google-api-core==2.19.1
google-api-python-client==2.137.0
google-auth==2.32.0
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.1
googleapis-common-protos==1.63.2
h11==0.14.0
httpcore==1.0.5
httplib2==0.22.0
httpx==0.27.0
idna==3.7
ipykernel==6.29.5
ipython==8.26.0
ipywidgets==8.1.3
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.2
jupyter_core==5.7.2
jupyter_server==2.14.1
jupyter_server_terminals==0.5.3
jupyterlab==4.2.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.2
jupyterlab_widgets==3.0.11
MarkupSafe==2.1.5
matplotlib-inline==0.1.7
mistune==3.0.2
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
notebook==7.2.1
notebook_shim==0.2.4
numpy==2.0.0
oauthlib==3.2.2
overrides==7.7.0
packaging==24.1
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pexpect==4.9.0
platformdirs==4.2.2
plotly==5.22.0
prometheus_client==0.20.0
prompt_toolkit==3.0.47
proto-plus==1.24.0
protobuf==5.27.2
psutil==6.0.0
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.6.0
pyasn1_modules==0.4.0
pycparser==2.22
Pygments==2.18.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytz==2024.1
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.32.3
requests-oauthlib==2.0.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.19.0
rsa==4.9
Send2Trash==1.8.3
setuptools==70.3.0
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
stack-data==0.6.3
tenacity==8.5.0
terminado==0.18.1
tinycss2==1.3.0
tornado==6.4.1
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
tzdata==2024.1
uri-template==1.3.0
uritemplate==4.1.1
urllib3==2.2.2
wcwidth==0.2.13
webcolors==24.6.0
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==4.0.11
Solution
I seem to have fixed this by downgrading to python 3.11. These are the steps I took:
- switched to using python 3.11 by changing the docker image that I'm running upon (I am using Visual StudioCode devcontainers).
- removed existing virtualenv
- created a new virtualenv using python 3.11 and installed the same dependencies from requirements.txt
I then open up my jupyter notebook. Interestingly I didn't have to re-run any cells, the chart was already present within the notebook. This means it was always in the notebook when using python 3.12, it just wasn't being displayed properly.
In case anyone is interested here are the versions of dependencies that have been installed:
anyio==4.4.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==2.4.1
async-lru==2.0.4
attrs==23.2.0
Babel==2.15.0
beautifulsoup4==4.12.3
bleach==6.1.0
cachetools==5.3.3
certifi==2024.7.4
cffi==1.16.0
charset-normalizer==3.3.2
comm==0.2.2
debugpy==1.8.2
decorator==5.1.1
defusedxml==0.7.1
executing==2.0.1
fastjsonschema==2.20.0
fqdn==1.5.1
google-api-core==2.19.1
google-api-python-client==2.137.0
google-auth==2.32.0
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.1
googleapis-common-protos==1.63.2
h11==0.14.0
httpcore==1.0.5
httplib2==0.22.0
httpx==0.27.0
idna==3.7
ipykernel==6.29.5
ipython==8.26.0
ipywidgets==8.1.3
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.2
jupyter_core==5.7.2
jupyter_server==2.14.2
jupyter_server_terminals==0.5.3
jupyterlab==4.2.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.2
jupyterlab_widgets==3.0.11
MarkupSafe==2.1.5
matplotlib-inline==0.1.7
mistune==3.0.2
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
notebook==7.2.1
notebook_shim==0.2.4
numpy==2.0.0
oauthlib==3.2.2
overrides==7.7.0
packaging==24.1
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pexpect==4.9.0
platformdirs==4.2.2
plotly==5.22.0
polars==1.1.0
prometheus_client==0.20.0
prompt_toolkit==3.0.47
proto-plus==1.24.0
protobuf==5.27.2
psutil==6.0.0
ptyprocess==0.7.0
pure-eval==0.2.2
pyasn1==0.6.0
pyasn1_modules==0.4.0
pycparser==2.22
Pygments==2.18.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytz==2024.1
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.32.3
requests-oauthlib==2.0.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.19.0
rsa==4.9
Send2Trash==1.8.3
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
stack-data==0.6.3
tenacity==8.5.0
terminado==0.18.1
tinycss2==1.3.0
tornado==6.4.1
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
typing_extensions==4.12.2
tzdata==2024.1
uri-template==1.3.0
uritemplate==4.1.1
urllib3==2.2.2
wcwidth==0.2.13
webcolors==24.6.0
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==4.0.1
I wrote the dependency list of each to text files and compared them, here's what it came back with:
> diff 3.11.txt 3.12.txt
49c49
< jupyter_server==2.14.2
---
> jupyter_server==2.14.1
74d73
> setuptools==70.3.0
112d111
< typing_extensions==4.12.2
121a121
>
Seems to me the only significant difference is the python version.
- Keep numbers which appear in both columns, in J lang
- Differentiation in J
- How to reshape an array with an arbitrary size in one dimension?
- Why is Insert (fold) right associative
- Write 4 : 'x&{.&.;: y' tacitly
- Alignment issue when printing formatted prime numbers in J language
- How can I define a verb in J that applies a different verb alternately to each atom in a list?
- How to get user input in the J programming language
- How to unbox a list of boxed lists of differing lengths in J?
- How can I fix 'noun result was required' error in J?
- In j, how can I define a verb locally in one scope and pass it to a defined adverb?
- Convert boxed array to normal array?
- Read column of CSV file as array
- Replace atom in array of strings
- What does the dyad `=` do to boxed strings?
- Index of minimum element using J
- How can I take the outer product of string vectors in J?
- Building an array of verbs in J
- Reading in multidigit command line parameter
- Amend with bond to new data shows unexpected behaviour
- How to turn a table or matrix into a (flat) list in J
- How to run dissect in J?
- How to define selection using index function in J
- How to exit the J console?
- Find 4-neighbors using J
- Writing custom verbs in J
- How do I negate a selector in J lang?
- How to use arbitrary selector in interchange in J lang?
- different result once square root is added inside tacit
- Sum of arrays with repeated indices