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CharlesSeguin
New Member

Rich dataframe table view in notebooks missing Inspect button and data profile features

This page describes the Rich dataframe table view, where one can click on the Inspect button to profile the data in a dataframe: Notebook visualization - Microsoft Fabric | Microsoft Learn

CharlesSeguin_1-1707881914778.png

 

 

However, when I run display(df), I don't get thes same experience. Notice how even the chart tab is displayed differently:

CharlesSeguin_0-1707881858143.png

 

What could be the reason for this differnce... why am I getting a "not-so-rich" experience in my notebook?

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @CharlesSeguin ,

We have an update from internal team - 

" It was previously released to all on Dec last year. Due to some issues on rich dataframe preview, we withdrawed the feature, and now the issue is addressed, so it started rolling out again. We will release a fix for this soon, it's rolling out now, thanks for the heads up! "

Hope this is helpful, Please let me know incase of further queries.

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

Hi @CharlesSeguin ,

Thanks for using Fabric Community.
I can see the rich experience in my notebook with in the internal site.
Unfortunately, it appears this enhanced functionality isn't yet available publicly.

At this time, we are reaching out to the internal team to check when it will be rolled out for everyone.
We will update you once we hear back from them.

Anonymous
Not applicable

Hi @CharlesSeguin ,

We have an update from internal team - 

" It was previously released to all on Dec last year. Due to some issues on rich dataframe preview, we withdrawed the feature, and now the issue is addressed, so it started rolling out again. We will release a fix for this soon, it's rolling out now, thanks for the heads up! "

Hope this is helpful, Please let me know incase of further queries.

Anonymous
Not applicable

Hi @CharlesSeguin ,

We have an update from internal team - 

" It was previously released to all on Dec last year. Due to some issues on rich dataframe preview, we withdrawed the feature, and now the issue is addressed, so it started rolling out again. We will release a fix for this soon, it's rolling out now, thanks for the heads up! "

Hope this is helpful, Please let me know incase of further queries.

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