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Thank you for writing and making PandasTable available. It is awesome.
I've created a specialized viewer in surprisingly few lines of code and it works great!
I request guidance on how to programmatically create, populate, and apply a "filter table" row.
The goal is to present a visible filter and apply it to the table, but allow the user to delete the filter row(s) if they wish to view the less filtered dataframe. Something like preloading and applying:
Any suggestions?
Thanks!
The text was updated successfully, but these errors were encountered:
Thank you for writing and making PandasTable available. It is awesome.
I've created a specialized viewer in surprisingly few lines of code and it works great!
I request guidance on how to programmatically create, populate, and apply a "filter table" row.
The goal is to present a visible filter and apply it to the table, but allow the user to delete the filter row(s) if they wish to view the less filtered dataframe. Something like preloading and applying:
Any suggestions?
Thanks!
The text was updated successfully, but these errors were encountered: