Fixed

• Fixed an issue when lengthMenu is a 2D array (#151)

Changed

• We make sure that no argument passed to show is equal to None (for all tested options, passing None results in a datatable that never loads)
• Running the test collection will not update the CSV files used for testing anymore

Fixed

• We have added numpy to the dependencies, pytz is an optional dependency (used in the sample dataframes only), and we do not depend on six anymore (#149) The build time dependencies pathlib and requests are listed in pyproject.toml (since #123, itables==1.4.0)

Changed

• When a table is made of only a few rows, we display just the table (not the search box, pagination control, etc)

Fixed

• We make sure that the table content has the same number of columns as the header (#141)
• We have updated the documentation on column widths (#145)

1.4.1 (2022-12-04)

Fixed

• We have added setuptools.build_meta as the build backend in pyproject.toml (#142)
• We have fixed a typo in itables.options.style

Changed

• We have updated the development status of the project to Production/Stable

Fixed

• We have improved the support for dark themes by using the CSS from datatables.net in version 1.13.1 (#103)
• We have fixed a compatibility issue with old versions of pandas
• We have added a test to make sure that timezones are preserved
• requests was added as a build dependency (#123)
• and the flake8 pre-commit hook was fixed (#124) - thanks to Anselm Hahn for these two contributions!
• Duplicated column and index names are supported (#134)

Added

• The examples in the documentation are now executed as part of the test suite to increase the coverage.
• We have added a new caption argument to the show function to make it easier to add captions on tables.

Changed

• We have changed the default table to style = "table-layout:auto;width:auto;margin:auto" to fix an issue on the width of index columns (default style was width:auto previously) (#130)
• The default classes applied to datatables are now ["display", "nowrap"]
• We have changed the default order to order = [] i.e. we don't sort anymore the table, even when the index is monotonic, to fix an issue in the order of categories (#135)
• We have set an explicit maxRows = 0 and also increased maxColumns to 200 (instead of Pandas' default at 20).

Fixed

• We use pandas.io.formats.format.format_array to format non-trivial dtypes (as in itables<=1.3.1) (#112)
• The downsampling of large tables is faster. We have also added a new function generate_random_df to generate large tables on demand (#113)
• We don't raise a warning anymore when a table is downsampled. Instead, we add this information to the table summary (#114)

Added

• We have added support for Python 2 (#115).

Fixed

• We have removed scrollX = True which was causing issues with non-wide tables (#110). Instead, we now use style = "width:auto".

Changed

• We have added scrollX = True to the default options to make the rendering of wide tables more similar to Pandas.

Fixed

• We have reimplemented the function that encodes the Pandas dataframes to JSON to avoid triggering FutureWarnings when using pandas>=1.5 (#107).

1.3.1 (2022-11-05)

Added

• The show method has a new css argument (defaults to itables.options.css) (#104).

Changed

• The order of rows is preserved by default (unless you explicitly pass an order parameter) (#99).

Fixed

• Nullable types (bool, int) are now supported (#98)

Added

• New to_html_datatable function to export a DataFrame to an HTML div (#88)
• We have added examples on how to use itables in Shiny for Python (#86)

Fixed

• Tables with duplicated column names are now supported, thanks to Antonio Commisso's fix (#89)

Changed

• Tables with many rows are preferentially downsampled on rows, while tables with many columns are preferentially downsampled on columns (#84)

1.1.1 (2022-06-23)

Fixed

• Added missing column_filters package data.

1.1.0 (2022-06-23)

Added

• itables.options and the show function have a new column_filters argument to display individual column search boxes (#69)
• We have documented DataTables' dom option.
• We have introduced a new class JavascriptFunction to limit the evaluation of Javascript function to selected ones.
• The documentation is formatted with black thanks to a Jupytext & Black pre-commit hook.

Added

• ITables works offline! (#8, #70). Marc would like to thank Allan Jardine, the author of the datatables library, and François Wouts for their precious help on the subject.

Changed

• ITables uses the ESM version 1.12.1 of datatables.net

Added

• Additional tags like captions are supported (#10).

0.4.6 (2022-03-29)

Changed

• We have removed the default column width at 70 pixels (#61, #62, #66)
• We now use pyupgrade in our pre-commit hooks

Fixed

• We have improved the rendering of multiindex columns (#63)

Changed

• The itables documentation now uses Jupyter Book (#56)
• We have added a new style option in itables.options and in show, with a default value equal to max-width:100%.

Fixed

• Add 'require_config.js' to the pip package (#48)

Changed

• When a JS function is created on the Python side, we export it as-is (without quotes) in the HTML file and don't use JS eval anymore.

Fixed

• Fix the HTML output when eval_functions=True
• Display "Loading..." under the table header until the table is displayed with datatables.net
• init_notebook_mode(all_interactive=False) restores the original Pandas HTML representation

Fixed

• Long column names don't overlap any more (#28)

Fixed

• Now itables also works in Jupyter Lab, Colab, Nteract, VS Code and PyCharm (#3, #4, #26, #40), as we load the datatables.net library with an ES import when require.js is not available. Many thanks to François Wouts for his precious help!

Changed

• The show function (and itables.options) has a new argument eval_functions. When set to True, the nested strings passed to datatables.net that start with function are converted to Javascript functions.
• The HTML code for the datatables.net representation of the table is generated with an HTML template.
• We use f-strings and thus require Python >= 3.6

Fixed

• We fixed an issue (jquery not found) with the HTML export when using nbconvert>=6.0 (#21)
• We documented how to change the default ordering of rows - with the order option (#30)
• We documented how to load require in Jupyter Lab (#3)

Changed

• The main branch for the project is main rather than master
• Updated datatables to 1.11.3 and jquery to 3.5.1

Fixed

• itables now has an explicit init_notebook_mode function, which inserts the datatables.net library in the notebook. Use init_notebook_mode(all_interactive=True) to display all the pandas object as interactive tables. This fixes (#6) and (#17).

Changed

• itables uses GitHub Actions for the CI.

Added

• itables is tested with Python 3.9 as well.

Fixed

• Pandas' display.max_columns can be None, by Arthur Deygin (#14)

Added

• Animated screenshot in README

Fixed

• Add IPython to setup.py install_requires, by Jon Shao (#9)

0.2.0 (2019-11-20)

Added

• Large tables are downsampled (#2)

Changed

• Javascript code moved to Javascript files

Fixed

• Tables with many columns are now well rendered (#1, #5)

Initial release