Version 2.2.3

Fixed

• Table footers continue to work when the notebook is exported to HTML (#331)
• The dependencies of the Streamlit component have been updated (#327, #330)

Added

• ITables is now tested with Python 3.13

Version 2.2.2

Fixed

• We have fixed a HTML pop up warning when displaying Pandas Style objects in Quarto (#317)
• The dependencies of the Streamlit component have been updated (#323)

Added

• We have documented how to use the ITable widget in a Shiny application
• We have deployed a sample Shiny app (#276)

Version 2.2.1

Fixed

• We fixed an issue with the Streamlit component when selected_rows was not set.

Version 2.2.0

Added

• ITables has a Jupyter Widget (#267). Our widget was developed and packaged using AnyWidget which I highly recommend!
• The selected rows are now available in the apps. Use either the selected_rows attribute of the ITable widget, the returned value of the Streamlit interactive_table component, or the {table_id}_selected_rows input in Shiny (#208, #250)
• ITables works offline in Shiny applications too - just add ui.HTML(init_itables()) to your application

Changed

• The tableId argument of to_html_datatable has been renamed to table_id

Fixed

• The dependencies of the Streamlit component have been updated (#320)

Version 2.1.5

Fixed

• DataTables was updated to its latest version (2.1.6)
• We have added the DateTime extension, required by SearchTime when showing dates (#288)
• We have improved the function that determines whether a dark theme is being used (#294)
• We have adjusted the generation of the Polars sample dataframes to fix the CI (Polars-18130)
• The test on the Shiny app fallbacks to ui.nav_panel when ui.nav is not available
• The dependencies of the streamlit component have been updated (#313, #315)

Version 2.1.4

Fixed

• We have fixed an OverflowError (can't convert negative int to unsigned) when displaying Polars DataFrames that contain unsigned integers (#299)

Version 2.1.3

Fixed

• We have improved the detection of large integers in the context of Polars DataFrames (#291)

Version 2.1.2

Changed

• The default CSS contains now has overflow:auto on div.dt-layout-table>div. Thanks to this we now get an automatic horizontal scrolling in Jupyter, Jupyter Book and also Streamlit if the table is too wide (#282).

Fixed

• The dependencies of the streamlit components have been updated to fix a vulnerability in ws (Alert #1)

Version 2.1.1

2.1.1 (2024-06-08)

Fixed

• We have added an explicit encoding argument in the calls to read_text to address an issue seen on Windows (#252).
• We have adjusted the codecov settings (#280)

Changed

• We have added a default css on dt-container equal to {max-width:100%}.
• We have updated datatables.net-dt to 2.0.8, and included the column visibility button in the dt_for_itables package (#284)

Version 2.1.0

Added

• ITables works with Streamlit (#270)

Changed

• ITables now uses the src layout (#246) - many thanks to Mahendra Paipuri for his help on this topic!
• We have updated dt_for_itables' dependencies to datatables.net-dt==2.0.7 and datatables.net-select-dt==2.0.2 (#273)
• We have updated the pre-commit hooks used in the project (#268)