Feature request: Interrupt loading Data Viewer

[matthewgson]

Feature: Notebook Editor, Interactive Window, Python Editor cells

Description

VScode Data Viewer launches quickly and shows the top part of the large data frame relatively fast, but it takes a long time to finish loading. It freezes intermittently while it is loading the data.

Below is pandas dataframe with 1M rows and 113 columns.

I want to grasp a quick overview of the dataframe and browsing only some part of them usually fine. In that sense, I think implementing 'interrupt loading' would be beneficial for some users.

Fast dataframe viewer is what I'm really missing feature for python IDEs for data science. I've been using a python package called gtabview that did the job very well. For example, with this package, it takes less than a second to show this data frame - which is even faster than PyCharm dataframe viewer. Problem is, this package does not work well with the current version of jupyter, so in order to use this in vscode I have to run pure python on the terminal.

I'm hoping that VScode can make a fast Data Viewer like above package in the future!

Microsoft Data Science for VS Code Engineering Team: @rchiodo, @IanMatthewHuff, @DavidKutu, @DonJayamanne, @greazer

[DavidKutu]

Thank you for the feedback @matthewgson. We'll look into this shortly.

[DonJayamanne]

We should consider using one of the 3rd party widgets (ipywidgets) with support for lazy landing data from the backend.

[IanMatthewHuff]

Closing as dupe of #1139 (tagging to mention interrupt as well)