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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#4,283 0 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

bug P3 regression
Lenguaje dominante
Python
Estrellas
18.8k
Forks
2.8k
Merge medio
16 h 26 min
PR fusionados (30 d)
21

Descripción

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

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  1. Lee el issue completo y luego la guía de contribución del proyecto.
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  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comience con el reproductor de subplots de cufflinks proporcionado y compare su HTML generado usando Plotly.js 2.24.1 frente a 2.11.1; después, compárelo con el ejemplo funcional de make_subplots. Determine si la regresión está en el layout generado por cufflinks o en el renderizado de JavaScript, y verifique que los títulos de yaxis2 a yaxis4 aparezcan junto a sus respectivos subplots con las versiones actuales.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
javascript, pandas, python
Área
data-visualization
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
35/100

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