Since upgrading plotly.py to 5.15.0 subplots with 2 columns, the yaxis2 title_text is showing on the left next to yaxis
还没有人认领这个 Issue。
- 主要语言
- Python
- 星标
- 18.8k
- 派生
- 2.8k
- 平均合并
- 16 小时 26 分钟
- 30 天内合并 PR
- 21
描述
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:
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
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
从提供的 cufflinks subplot reproducer 开始,比较其使用 Plotly.js 2.24.1 与 2.11.1 生成的 HTML,然后将其与可正常工作的 make_subplots 示例进行比较。确定回归是在 cufflinks 生成的 layout 中,还是在 JavaScript 渲染中,并验证在当前版本中 yaxis2 到 yaxis4 的标题会显示在各自 subplot 旁边。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- javascript, pandas, python
- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100