绘图图表未显示在jupyter笔记本中

Question

我想在 jupyter 笔记本中生成并显示图表，但由于我不明白的原因，它不起作用。这是我的简单代码：

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()

当我执行单元格时，它显示空白输出：

任何人都可以建议为什么它不显示任何内容吗？

额外信息：

• 我使用的是python 3.12

• 我安装的软件包（来自requirements.txt）：

google-api-python-client
google-auth-httplib2
google-auth-oauthlib
jupyter
plotly
pandas

（其他事情需要谷歌包，我只是为了完整性才在这里提到）

• 所有已安装软件包的列表是：

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

Answer 1

我似乎已经通过降级到 python 3.11 解决了这个问题。这些是我采取的步骤：

• 通过更改我正在运行的 docker 映像切换到使用 python 3.11（我正在使用 Visual StudioCode devcontainers）。
• 删除了现有的 virtualenv
• 使用python 3.11创建了一个新的virtualenv并安装了requirements.txt中的相同依赖项

然后我打开我的 jupyter 笔记本。有趣的是，我不必重新运行任何单元格，图表已经存在于笔记本中。这意味着使用 python 3.12 时它总是在笔记本中，只是没有正确显示。

如果有人感兴趣，这里是已安装的依赖项的版本：

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

我将每个文件的依赖项列表写入文本文件并进行比较，这是它返回的内容：

> 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
> 

在我看来，唯一显着的区别是 python 版本。