Comments (4)
its working simply if we install directly from git
!pip install -U dtale
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Edit: ignore my answer, it is not helpful. I don't use notebooks much.
Seems like the right way to do this is by using flask_ngrok: https://github.com/gstaff/flask-ngrok
Which, coincidentally, the owner was just working with (and should have some helpful advice/tips)
from dtale.
I'm sorry to hear you're having issues. But luckily for you I just released a new version this morning which allows users to use D-Tale within hosted notebook services like Google Colab & Kaggle suing something called flask_ngrok
Here are the tutorials: https://github.com/man-group/dtale#google-colab--kaggle
Here is an example of how to get it started:
import pandas as pd
import dtale
import dtale.app as dtale_app
dtale_app.USE_NGROK = True
dtale.show(pd.DataFrame([1,2,3]))
The key is setting USE_NGROK
to true. Hopefully this works, but if not I can take you through some of the horror stories we went through getting it to work in jupyterhub through our comapny's proxy.
from dtale.
@enahwe I just recently released v.1.8.13 with support for a jupyterhub extension jupyter-server-proxy. Here's the documentation
Hopefully this might help with using D-Tale in jupyterhub on top of kubernetes
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Related Issues (20)
- String Joiner Parsing Problem HOT 5
- Not able to run Dtale on root url HOT 10
- NoneType object is not iterable HOT 5
- Authentication bug - can acres other session freely HOT 7
- How to report Security Vulnerabilities? HOT 1
- Session management in Dtale and SSO HOT 4
- Day Name HOT 2
- Weekday Name Error HOT 3
- Frequency Table Search HOT 3
- pandas HOT 1
- what is the double bounce graphic used for? HOT 1
- D-Tale Charts isn't showing the filtered data properly HOT 2
- Dtale.show() error with pyarrow backed pandas dataframe? HOT 10
- Hard dependency on werkzeug version which has cvss vulnerability HOT 1
- logging HOT 1
- Running dtale in JupyterHub and bind to localhost only HOT 3
- Time Difference HOT 2
- Graph coordinate inconsistency problem // python3.9, dtale=3.8.1
- Jupyter notebook docker image not supporting Dtale. HOT 1
- hoverinfo cannot be displayed on the lines to the left of the chart HOT 1
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