Add row dropdown support

[wbrguerra]

It would be amazing if in the table output, there existed the ability to dropdown individual rows in the same view for exploratory data analysis. For security analysts and engineers, correlating activity and pivoting across different logging sources in a single view is extremely valuable. Especially when there are a multitude of a columns and rows.

An example of the requested behavior is shown below. The images show the table output of KQL (Kusto Query Language) queries, which is used by Azure services (i.e., Azure Data Explorer and Log Analytics Workspace). You can click an arrow and the table will output/melt the single row.

[aschonfeld]

@wbrguerra I know this isn't exactly what you asked for, but would this work? The expansion links would only show up if there is a horizontal scrollbar present.

row_expander.mov

[wbrguerra]

@aschonfeld This is a great compromise. Is there a limit with the number of characters displayed? What does navigation look like if there are multiple columns with values that exceed 100+ characters? Is there a scroll bar present in the pop up?

[aschonfeld]

@wbrguerra does this look alright?

long_strings_expansion.mov

[wbrguerra]

@aschonfeld This looks amazing!

[aschonfeld]

@wbrguerra I have just released v3.16.0 to pypi (will be on conda-forge shortly) with this functionality. I also added the ability to turn off this feature using the app configuration or by passing the hide_row_expanders=True parameter to dtale.show. You can also do it using the UI and clicking the checkbox show here:

Let me know if you have any issues.

Also, whenever you get a sec do you mind tossing your ⭐ on the repo? Thanks 🙏