Version 2.2.0

Author: mwouts

docs/changelog.md

@@ -1,16 +1,19 @@
 ITables ChangeLog
 =================
 
-2.2.0-dev (2024-09-??)
+2.2.0 (2024-09-22)
 ------------------
 
 **Added**
 - ITables has a Jupyter Widget ([#267](https://github.com/mwouts/itables/issues/267)). Our widget was developed and packaged using [AnyWidget](https://anywidget.dev/) which I highly recommend!
-- The selected rows are now available! Use either the `selected_rows` attribute of the `ITable` widget, or the returned value of the Streamlit `interactive_table` component, or the `{table_id}_selected_rows` input in Shiny ([#208](https://github.com/mwouts/itables/issues/208), [#250](https://github.com/mwouts/itables/issues/250))
-- ITables works offline in Shiny applications too!
+- 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](https://github.com/mwouts/itables/issues/208), [#250](https://github.com/mwouts/itables/issues/250))
+- ITables works offline in Shiny applications too - just add `ui.HTML(init_itables())` to your application
 
 **Changed**
-- `tableId` has been renamed to `table_id`
+- The `tableId` argument of `to_html_datatable` has been renamed to `table_id`
+
+**Fixed**
+- The dependencies of the streamlit component have been updated ([#320](https://github.com/mwouts/itables/issues/320))
 
 
 2.1.5 (2024-09-08)

docs/ipywidgets.md

@@ -18,7 +18,8 @@ ITables is available as a [Jupyter Widget](https://ipywidgets.readthedocs.io) si
 
 ## The `ITable` widget
 
-The `ITable` widget has a few dependencies that you can install with
+The `ITable` widget has a few dependencies (essentially [AnyWidget](https://anywidget.dev),
+a great widget development framework!) that you can install with
 ```bash
 pip install itables[widget]
 ```
@@ -91,7 +92,7 @@ table.update(df.head(20), selected_rows=[7, 8])
 Compared to `show`, the `ITable` widget has the same limitations as the [streamlit component](streamlit.md#limitations),
 e.g. structured headers are not available, you can't pass JavaScript callback, etc.
 
-The good news is that if you only want to _display_ the table, you **do not need**
+The good news is that if you only want to _display_ the table, you do not need
 the `ITables` widget. Below is an example in which we use `show` to display a different
 table depending on the value of a drop-down component:
 

packages/itables_anywidget/pyproject.toml

@@ -1,15 +1,5 @@
 """Activate the representation of Pandas dataframes as interactive tables"""
 
-import warnings
-
 from .javascript import init_notebook_mode
 
-# We issue a FutureWarning rather than a DeprecationWarning...
-# because the DeprecationWarning is not shown in the notebook
-warnings.warn(
-    """Importing itables.interactive is deprecated.
-Please execute instead 'from itables import init_notebook_mode; init_notebook_mode(all_interactive=True)'""",
-    FutureWarning,
-)
-
 init_notebook_mode(all_interactive=True)

src/itables/interactive.py

@@ -1,7 +1,7 @@
 from io import open
 from pathlib import Path
 
-UNPKG_DT_BUNDLE_URL = "https://www.unpkg.com/[email protected].12/dt_bundle.js"
+UNPKG_DT_BUNDLE_URL = "https://www.unpkg.com/[email protected].13/dt_bundle.js"
 UNPKG_DT_BUNDLE_CSS = UNPKG_DT_BUNDLE_URL.replace(".js", ".css")
 UNPKG_DT_BUNDLE_URL_NO_VERSION = "https://www.unpkg.com/dt_for_itables/dt_bundle.js"
 UNPKG_DT_BUNDLE_CSS_NO_VERSION = "https://www.unpkg.com/dt_for_itables/dt_bundle.css"

src/itables/utils.py

@@ -1,3 +1,3 @@
 """ITables' version number"""
 
-__version__ = "2.2.0-dev"
+__version__ = "2.2.0"

src/itables/version.py

@@ -36,7 +36,7 @@ def test_get_itables_extension_arguments(df):
 def test_no_use_to_html():
     with pytest.raises(
         TypeError,
-        match="In the context of the streamlit extension, these options are not available",
+        match="In the context of the itable widget or streamlit extension, these options are not available",
     ):
         get_itables_extension_arguments(pd.DataFrame({"a": [0]}), use_to_html=True)