UI Goes Wrong When I use DTale to display [1,2,3]

[WangLaoShi]

UI Goes Wrong When I use DTale to display [1,2,3]

Below is my ScreenShot:

1. First , run

import dtale
import pandas as pd
d = dtale.show(pd.DataFrame([1,2,3]))
d.open_browser()

2. The url will open in another tab of Chrome

As you can see , there is no data shown ,and when I click the menu of the top left corner.

3. The menu shown up , but it has no CSS Style

4. Then I output the version of Env

from platform import python_version
import pandas as pd
import numpy as np
import dtale
print(pd.__version__)
print(np.__version__)
print(dtale.__version__)
print(python_version())

Thanks for any help.

[aschonfeld]

@WangLaoShi I just created a brand new 3.9.0 environment and ran the same code you execute and everything worked fine. This was the versions of code that my machine has:

I also ran a pip freeze on my environment to check everything:

anyio==3.6.2
appnope==0.1.3
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.2.1
attrs==23.1.0
backcall==0.2.0
beautifulsoup4==4.12.2
bleach==6.0.0
blinker==1.6.2
Brotli==1.0.9
certifi==2023.5.7
cffi==1.15.1
charset-normalizer==3.1.0
click==8.1.3
comm==0.1.3
contourpy==1.0.7
cycler==0.11.0
dash==2.9.3
dash-bootstrap-components==1.3.1
dash-colorscales==0.0.4
dash-core-components==2.0.0
dash-daq==0.5.0
dash-html-components==2.0.0
dash-table==5.0.0
debugpy==1.6.7
decorator==5.1.1
defusedxml==0.7.1
dtale==2.15.2
et-xmlfile==1.1.0
executing==1.2.0
fastjsonschema==2.16.3
Flask==2.3.2
Flask-Compress==1.13
flask-ngrok==0.0.25
fonttools==4.39.4
future==0.18.3
idna==3.4
importlib-metadata==6.6.0
ipykernel==6.23.1
ipython==8.13.2
ipython-genutils==0.2.0
itsdangerous==2.1.2
jedi==0.18.2
Jinja2==3.1.2
joblib==1.2.0
jsonschema==4.17.3
jupyter-client==8.2.0
jupyter-core==5.3.0
jupyter-events==0.6.3
jupyter-server==2.5.0
jupyter-server-terminals==0.4.4
jupyterlab-pygments==0.2.2
kaleido==0.2.1
kiwisolver==1.4.4
lz4==4.3.2
MarkupSafe==2.1.2
matplotlib==3.6.0
matplotlib-inline==0.1.6
missingno==0.4.2
mistune==2.0.5
nbclassic==1.0.0
nbclient==0.7.4
nbconvert==7.4.0
nbformat==5.8.0
nest-asyncio==1.5.6
networkx==3.1
notebook==6.5.4
notebook-shim==0.2.3
numpy==1.24.3
openpyxl==3.1.2
packaging==23.1
pandas==2.0.1
pandocfilters==1.5.0
parso==0.8.3
patsy==0.5.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.5.0
platformdirs==3.5.1
plotly==5.14.1
prometheus-client==0.16.0
prompt-toolkit==3.0.38
psutil==5.9.5
ptyprocess==0.7.0
pure-eval==0.2.2
pycparser==2.21
Pygments==2.15.1
pyparsing==3.1.0b1
pyrsistent==0.19.3
python-dateutil==2.8.2
python-json-logger==2.0.7
pytz==2023.3
PyYAML==6.0
pyzmq==25.0.2
requests==2.30.0
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
scikit-learn==1.2.2
scipy==1.9.3
seaborn==0.12.2
Send2Trash==1.8.2
six==1.16.0
sniffio==1.3.0
soupsieve==2.4.1
squarify==0.4.3
stack-data==0.6.2
statsmodels==0.14.0
strsimpy==0.2.1
tenacity==8.2.2
terminado==0.17.1
threadpoolctl==3.1.0
tinycss2==1.2.1
tornado==6.3.2
traitlets==5.9.0
typing-extensions==4.5.0
tzdata==2023.3
urllib3==2.0.2
wcwidth==0.2.6
webencodings==0.5.1
websocket-client==1.5.1
Werkzeug==2.3.4
xarray==2023.4.2
xlrd==2.0.1
zipp==3.15.0

Let me know if you're still having issues