Plotly.py: jsonschema.SchemaError when a figure is validated

[empet]

Here is a minimal example that reproduces the bug: http://nbviewer.jupyter.org/gist/empet/cf922d7c7f4269d6f63432ec67a5d020

The notebook runs OK (with plotly 2.0.1) when I call plot(fig). iplot(fig) generates the plot too, but an error box pops up whenever Jupyter tries to save the notebook. The box has the following content:

_The save operation succeeded, but the notebook does not appear to be valid. The validation error was:
Notebook Validation failed_:
u'data': [{u'colorscale': u'Viridis', u'z': [[2, 27, 105, 100], [87, 14, 121, 102], [26, 121, 73, 34], [44, 105, 111, 127]], u'type': u'heatmap', u'zsmooth': u'best'}], u'layout': {u'width': 400, u'height': 400}} _is not valid under any of the given schemas_:

{ "data": [ { "colorscale": "Viridis", "z": [ [ 2, 27, 105, 100 ], [ 87, 14, 121, 102 ], [ 26, 121, 73, 34 ], [ 44, 105, 111, 127 ] ], "type": "heatmap", "zsmooth": "best" } ], "layout": { "width": 400, "height": 400 } }

Initially I formulated this issue only for heatmaps, but meanwhile I realized that this behaviour manifests for any type of plot.

[cldougl]

cc @chriddyp

[chriddyp]

yikes, I suspect that this was introduced with adding the Nteract plugin. @theengineear @rgbkrk , does that sound right? Any thoughts on how to get around this issue?

[rgbkrk]

Upgrade nbformat, either with pip install --upgrade nbformat or conda update nbformat.

[malindho]

I've updated nbformat (to 4.2.0) and am still seeing this issue. I had not seen it until I upgraded to plotly 2.x (I have tried 2.0.1 and 2.0.2).

[rgbkrk]

One thing to note - nbformat has to be upgraded for the Python your notebook server is running with (and server restarted). /cc @minrk

[malindho]

I'm running this locally on my mac, and am still seeing the issue after updating nbformat. Any ideas?

[rmnvncnt]

@malindho You should update to nbformat 4.3.0

[bermanmaxim]

For some reason conda update nbformat was not enough for me in my conda installation. However pip did the trick.

[antvig]

Hi I updated nbformat to 4.3.0 and it still raises the same "validation failed" issue...

[antvig]

[E 13:42:38.458 NotebookApp] Notebook JSON is invalid: {'data': [{'type': 'scatter', 'y': [1, 2, 3]}], 'layout': {}} is not valid under any of the given schemas

    Failed validating 'oneOf' in schema['properties']['data']['patternProperties']['^(?!application/json$)[a-zA-Z0-9]+/[a-zA-Z0-9\\-\\+\\.]+$']:
        {'oneOf': [{'type': 'string'},
                   {'items': {'type': 'string'}, 'type': 'array'}]}

    On instance['data']['application/vnd.plotly.v1+json']:
        {'data': [{'type': 'scatter', 'y': [1, 2, 3]}], 'layout': {}}

[bojiang]

I've updated nbformat (to 4.2.0) and am still seeing this issue.

@malindho @antvig
I upgrade my jupyter at the same time and the problem is solved:
pip install --upgrade jupyter

[alubbock]

@chriddyp I'm still seeing this issue, even with up-to-date packages and a clean installation. Steps to reproduce with conda:

# 1. Create environment
conda create -n plotly_test python=3.8 plotly numpy notebook
conda activate plotly_test

# 2. Download the Jupyter notebook from the first post in this thread:
# https://gist.githubusercontent.com/empet/cf922d7c7f4269d6f63432ec67a5d020/raw/79e1fb7d16b372cb7156a9c423bede0023127af0/iplot-bug

# 3. Start Jupyter Notebook, open the notebook, clear and run all,
# then try to save it. A validation error appears.
jupyter notebook

Output of pip freeze:

appnope==0.1.0
attrs==19.3.0
backcall==0.1.0
bleach==3.1.0
certifi==2019.11.28
decorator==4.4.1
defusedxml==0.6.0
entrypoints==0.3
importlib-metadata==1.5.0
ipykernel==5.1.4
ipython==7.12.0
ipython-genutils==0.2.0
jedi==0.16.0
Jinja2==2.11.1
jsonschema==3.2.0
jupyter-client==5.3.4
jupyter-core==4.6.1
MarkupSafe==1.1.1
mistune==0.8.4
mkl-fft==1.0.15
mkl-service==2.3.0
nbconvert==5.6.1
nbformat==5.0.4
notebook==6.0.3
numpy==1.18.1
pandocfilters==1.4.2
parso==0.6.1
pexpect==4.8.0
pickleshare==0.7.5
plotly==4.5.0
prometheus-client==0.7.1
prompt-toolkit==3.0.3
ptyprocess==0.6.0
Pygments==2.5.2
pyrsistent==0.15.7
python-dateutil==2.8.1
pyzmq==18.1.1
retrying==1.3.3
Send2Trash==1.5.0
six==1.14.0
terminado==0.8.3
testpath==0.4.4
tornado==6.0.3
traitlets==4.3.3
wcwidth==0.1.8
webencodings==0.5.1
zipp==2.2.0

Update 2018-02-14:
Using nbformat 4.x, rather than 5.x, seems to resolve the issue. Should this be registered as a bug with nbformat, or is this a plotly issue?

[WittmannF]

Although this is from many years ago, I am having the same issue here. Maybe it is a problem when using MacOS, as it is my case as well.

[claes-mayne]

Although this is from many years ago, I am having the same issue here. Maybe it is a problem when using MacOS, as it is my case as well.

I have the same problem.

nbformat==5.0.4
plotly==4.6.0

[adizhol]

+1