0.9.0 (2023-05-22)

News

• Remove support for python 3.11 due to new test failures. This will be the case until glmnet will be replaced by sklearn. hopefully before end of year.

New Features

• All plotly functions: add kwargs to pass arguments to update_layout in all plotly figures. This is useful to control width and height of the plot. For example, when wanting to save a high resolution of the image.
• Add a summary methods to BalanceWeightsDF (i.e.: Sample.weights().summary()) to easily get access to summary statistics of the survey weights. Also, it means that Sample.diagnostics() now uses this new summary method in its internal implementation.
• BalanceWeightsDF.plot method now relies on the default BalanceDF.plot method. This means that instead of a static seaborn kde plot we'll get an interactive plotly version.

Bug Fixes

• datasets
  • Remove a no-op in load_data and accommodate deprecation of pandas syntax by using a list rather than a set when selecting df columns (thanks @ahakso for the PR).
  • Make the outcome variable (happiness) be properly displayed in the tutorials (so we can see the benefit of the weighting process). This included fixing the simulation code in the target.
• Fix Sample.outcomes().summary() so it will output the ci columns without truncating them.

Documentation

• Fix text based on updated from version 0.7.0 and 0.8.0.
  • https://import-balance.org/docs/docs/general_framework/adjusting_sample_to_population/
• Fix tutorials to include the outcome in the target.

Contributors

@talgalili, @SarigT, @ahakso