plotly / plotly/plotly.py

Since upgrading plotly.py to 5.15.0 subplots with 2 columns, the yaxis2 title_text is showing on the left next to yaxis

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bug P3 regression
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Python
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Description

After upgrading plotly.py to 5.15.0
subplots with two columns created by cufflinks subplot command have all the yaxis labels on the left, not next to each subplot.
The head of the file created has "https://cdn.plot.ly/plotly-2.24.1.min.js" if I edit this file to use js "https://cdn.plot.ly/plotly-2.11.1.min.js" the plots are OK as expected.

I am not sure if this is a plotly js issue or a cufflinks issue
When creating similar subplots without cufflinks they look OK.

Code to make failed chart

from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.io as pio
pio.templates.default = 'plotly_white'
import setuptools
import pandas as pd
import cufflinks as cf
cf.set_config_file(offline=True)
cf.set_config_file(theme='white')

data = {
"yaxis1": [420, 380, 390],
"yaxis2": [50, 40, 45],
"yaxis3": [30, 50, 70],
"yaxis4": [222, 333, 444]
}

#load data into a DataFrame object:
df = pd.DataFrame(data)
print(df)

fig=cf.subplots([df.loc[:,'yaxis1'].figure(kind='scatter',name='YAXIS1'),
df.loc[:,'yaxis2'].figure(kind='scatter',name='YAXIS2'),
df.loc[:,'yaxis3'].figure(kind='scatter',name='YAXIS3'),
df.loc[:,'yaxis4'].figure(kind='scatter',name='YAXIS4')],
shape=(2,2),shared_xaxes=True,shared_yaxes=True,subplot_titles=("Plot 1", "Plot 2", "Plot 3", "Plot 4"))
fig['layout']['hoverlabel'] = dict(namelength = -1)
fig['layout']['hovermode']='x'
fig['layout']['height']=600
fig['layout']['width']=800
fig['layout']['modebar']=({'add': ['v1hovermode', 'toggleSpikeLines']})
fig['layout']['title']="Side By Side Subplots"
fig['layout']['xaxis'].update({'showticklabels': True})
fig['layout']['xaxis2'].update({'showticklabels': True})
fig['layout']['xaxis3'].update({'showticklabels': True})
fig['layout']['xaxis4'].update({'showticklabels': True})
fig['layout']['yaxis'].update({'title_text':'yaxis1'})
fig['layout']['yaxis2'].update({'title_text':'yaxis2'})
fig['layout']['yaxis3'].update({'title_text':'yaxis3'})
fig['layout']['yaxis4'].update({'title_text':'yaxis4'})
pio.write_html(fig, file='test_subplot_cf.html', auto_open=True, include_plotlyjs='cdn')

FAILS:

<script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script> <script charset="utf-8" src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>

Change the JS file and it comes good, no other changes needed.
WORKS:

<script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script> <script charset="utf-8" src="https://cdn.plot.ly/plotly-2.11.1.min.js"></script>

Code without cufflinks that works OK

from plotly.subplots import make_subplots
import plotly.graph_objects as go
import plotly.io as pio

fig = make_subplots(rows=2, cols=2,subplot_titles=("Plot 1", "Plot 2", "Plot 3", "Plot 4"))

fig.add_trace(
go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
row=1, col=1
)
fig.add_trace(
go.Scatter(x=[11, 12, 13], y=[4, 5, 6]),
row=2, col=1
)

fig.add_trace(
go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
row=1, col=2
)
fig.add_trace(
go.Scatter(x=[21, 31, 41], y=[50, 60, 70]),
row=2, col=2
)

fig.update_layout(modebar_add=["v1hovermode", "toggleSpikeLines"],height=600, width=800, title_text="Side By Side Subplots",yaxis=dict(title_text='yaxis1'),yaxis2=dict(title_text='yaxis2'),yaxis3=dict(title_text='yaxis3'),yaxis4=dict(title_text='yaxis4'))
pio.write_html(fig, file='test_subplot.html', auto_open=True, include_plotlyjs='cdn')

H:\aaPrograms>pip list
Package Version


affinity 0.1.0
aiosignal 1.3.1
altgraph 0.17.3
ansiwrap 0.8.4
anyio 3.6.2
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.2.1
async-generator 1.10
attrs 22.1.0
Babel 2.11.0
backcall 0.2.0
beautifulsoup4 4.11.1
black 22.10.0
bleach 5.0.1
Brotli 1.0.9
bz2file 0.98
cachelib 0.9.0
certifi 2022.9.24
cffi 1.15.1
chardet 5.0.0
charset-normalizer 2.1.1
chart-studio 1.1.0
click 8.1.3
colorama 0.4.6
colorlover 0.3.0
comm 0.1.3
contourpy 1.0.6
cryptography 38.0.3
cufflinks 0.17.3
cycler 0.11.0
Cython 0.29.33
dash 2.7.0
dash-core-components 2.0.0
dash-html-components 2.0.0
dash-table 5.0.0
debugpy 1.6.7
decorator 5.1.1
defusedxml 0.7.1
descartes 1.1.0
distlib 0.3.6
entrypoints 0.4
executing 1.2.0
fastjsonschema 2.16.2
file-read-backwards 2.0.0
filelock 3.9.0
filetype 1.2.0
Flask 2.2.2
Flask-Compress 1.13
Flask-Session 0.4.0
fonttools 4.38.0
frozenlist 1.3.3
future 0.18.2
grpcio 1.51.1
html2image 2.0.3
idna 3.4
imgkit 1.2.3
importlib 1.0.4
importlib-metadata 5.0.0
importlib-resources 5.10.0
inflate64 0.3.1
ipykernel 6.22.0
ipython 8.13.1
ipython-genutils 0.2.0
ipywidgets 8.0.6
itsdangerous 2.1.2
jedi 0.18.2
Jinja2 3.1.2
joblib 1.2.0
json5 0.9.10
JsonForm 0.0.2
jsonschema 4.17.0
JsonSir 0.0.2
jupyter 1.0.0
jupyter_client 8.2.0
jupyter-console 6.4.4
jupyter_core 5.3.0
jupyter-server 1.23.2
jupyterlab 3.5.0
jupyterlab-pygments 0.2.2
jupyterlab_server 2.16.3
jupyterlab-widgets 3.0.7
kaleido 0.2.1
kiwisolver 1.4.4
lxml 4.9.1
MarkupSafe 2.1.1
matplotlib 3.6.2
matplotlib-inline 0.1.6
microsoftgraph-python 1.1.4
mistune 2.0.4
mizani 0.8.1
msal 1.20.0
msgpack 1.0.4
multivolumefile 0.2.3
mypy-extensions 0.4.3
nbclassic 0.4.8
nbclient 0.7.0
nbconvert 7.2.5
nbformat 5.7.0
nest-asyncio 1.5.6
notebook 6.5.2
notebook_shim 0.2.2
numpy 1.24.3
O365 2.0.21
oauthlib 3.2.2
Office365-REST-Python-Client 2.3.15
OnedriveCMD 0.1.8.1
onedrivesdk 2.0.1
packaging 23.1
palettable 3.3.0
pandas 2.0.1
pandas-read-xml 0.3.1
pandocfilters 1.5.0
papermill 2.4.0
parquet 1.3.1
parso 0.8.3
pathspec 0.10.2
patsy 0.5.3
pefile 2022.5.30
pickleshare 0.7.5
Pillow 9.3.0
pip 23.2
platformdirs 3.5.0
plotly 5.15.0
plotnine 0.10.1
ply 3.11
progress 1.6
prometheus-client 0.15.0
prompt-toolkit 3.0.38
protobuf 4.21.12
psutil 5.9.5
pure-eval 0.2.2
py7zr 0.20.2
pyarrow 10.0.0
pybcj 1.0.1
pycparser 2.21
pycryptodomex 3.15.0
Pygments 2.15.1
pyinstaller 5.6.2
pyinstaller-hooks-contrib 2022.13
PyJWT 2.6.0
pynsist 2.8
pyparsing 3.0.9
PyPDF2 2.11.1
pyppmd 1.0.0
PyQt5 5.15.7
PyQt5-Qt5 5.15.2
PyQt5-sip 12.11.0
pyrsistent 0.19.2
python-dateutil 2.8.2
python-docx 0.8.11
Python-EasyConfig 0.1.7
python-magic 0.4.27
python-snappy 0.6.1
pytz 2023.3
pytz-deprecation-shim 0.1.0.post0
pywin32 306
pywin32-ctypes 0.2.0
pywinpty 2.0.9
PyYAML 6.0
pyzmq 25.0.2
pyzstd 0.15.3
qtconsole 5.4.0
QtPy 2.3.0
ray 2.2.0
regex 2022.10.31
requests 2.28.1
requests_download 0.1.2
requests-oauthlib 1.3.1
Resource 0.2.1
retrying 1.3.3
scipy 1.9.3
seaborn 0.12.1
Send2Trash 1.8.0
setuptools 67.7.2
sharepoint 0.4.2
six 1.16.0
sklearn 0.0.post5
sniffio 1.3.0
soupsieve 2.3.2.post1
stack-data 0.6.2
statsmodels 0.13.5
stringcase 1.2.0
sv-ttk 2.4
tabulate 0.9.0
tenacity 8.2.2
terminado 0.17.0
testpath 0.6.0
texttable 1.6.4
textwrap3 0.9.2
threadsafe-tkinter 1.0.2
thriftpy 0.3.9
thriftpy2 0.4.15
tinycss2 1.2.1
tkfilebrowser 2.3.2
toml 0.10.2
tomli 2.0.1
tornado 6.3.1
tqdm 4.64.1
traitlets 5.9.0
ttkthemes 3.2.2
typed-ast 1.5.4
typing_extensions 4.4.0
tzdata 2023.3
tzlocal 4.2
urllib3 1.26.12
virtualenv 20.17.1
wcwidth 0.2.6
webencodings 0.5.1
websocket-client 1.4.2
Werkzeug 2.2.2
wheel 0.38.4
widgetsnbextension 4.0.7
wkhtmltopdf 0.2
xmltodict 0.13.0
yarg 0.1.9
zipfile36 0.1.3
zipp 3.10.0

image

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the provided cufflinks subplot reproducer and compare its generated HTML using Plotly.js 2.24.1 versus 2.11.1, then compare it with the working make_subplots example. Determine whether the regression is in the cufflinks-generated layout or the JavaScript rendering, and verify that yaxis2 through yaxis4 titles appear beside their respective subplots with the current versions.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript, pandas, python
Domain
data-visualization
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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