feat: Add box-plots and fix various issues

CONTRIBUTING.md

@@ -0,0 +1,85 @@
+# Contributing to Sweetviz
+
+First off, thank you for considering contributing to Sweetviz! It's people like you that make Sweetviz such a great tool.
+
+## Where do I go from here?
+
+If you've noticed a bug or have a feature request, [make one](https://github.com/fbdesignpro/sweetviz/issues/new)! It's generally best if you get confirmation of your bug or approval for your feature request this way before starting to code.
+
+### Fork & create a branch
+
+If this is something you think you can fix, then [fork Sweetviz](https://github.com/fbdesignpro/sweetviz/fork) and create a branch with a descriptive name.
+
+A good branch name would be (where issue #38 is the ticket you're working on):
+
+```sh
+git checkout -b 38-add-feature-x
+```
+
+### Get the code
+
+```sh
+git clone https://github.com/your-username/sweetviz.git
+cd sweetviz
+git remote add upstream https://github.com/fbdesignpro/sweetviz.git
+```
+
+### Create a virtual environment and install dependencies
+
+```sh
+python -m venv venv
+source venv/bin/activate
+pip install -e .[dev]
+```
+
+### Implement your fix or feature
+
+At this point, you're ready to make your changes! Feel free to ask for help; everyone is a beginner at first :smile_cat:
+
+### Make a pull request
+
+At this point, you should switch back to your master branch and make sure it's up to date with Sweetviz's master branch:
+
+```sh
+git remote add upstream https://github.com/fbdesignpro/sweetviz.git
+git checkout master
+git pull upstream master
+```
+
+Then update your feature branch from your local copy of master, and push it!
+
+```sh
+git checkout 38-add-feature-x
+git rebase master
+git push --force-with-lease origin 38-add-feature-x
+```
+
+Finally, go to GitHub and [make a Pull Request](https://github.com/fbdesignpro/sweetviz/compare)
+
+### Keeping your pull request up to date
+
+If a maintainer asks you to "rebase" your PR, they're saying that a lot of code has changed, and that you need to update your branch so it's easier to merge.
+
+To learn more about rebasing, check out [this guide](https://www.atlassian.com/git/tutorials/rewriting-history/git-rebase).
+
+Once you've rebased your branch, you'll have to force-push to GitHub.
+
+```sh
+git push --force-with-lease origin 38-add-feature-x
+```
+
+## How to get help
+
+If you're running into problems, please don't hesitate to ask for help in the [issue tracker](https://github.com/fbdesignpro/sweetviz/issues) or in the [discussions](https://github.com/fbdesignpro/sweetviz/discussions).
+
+## Releasing a new version
+
+If you are a maintainer, here's how to release a new version:
+
+1.  Update the version number in `pyproject.toml`.
+2.  Create a new entry in `CHANGELOG.md`.
+3.  Commit the changes with a message like `Release 2.3.2`.
+4.  Tag the commit with the version number: `git tag -a v2.3.2 -m "Version 2.3.2"`.
+5.  Push the changes and the tag: `git push && git push --tags`.
+6.  Build the package: `python -m build`.
+7.  Publish the package to PyPI: `twine upload dist/*`.

sweetviz/comet_ml_logger.py

@@ -36,4 +36,3 @@ def end(self):
                 print("comet_ml.end(): error occurred during call to end().")
         else:
             print("comet_ml.end(): comet_ml is not installed or otherwise ready.")
-

sweetviz/config.py

@@ -15,4 +15,3 @@
 config.read_file(the_open)
 the_open.close()
 # config.read_file(open('sweetviz_defaults.ini'))
-

sweetviz/from_profiling_pandas.py

@@ -138,5 +138,3 @@ def is_path(series, counts) -> bool:
 def is_date(series) -> bool:
     is_date_value = pd.api.types.is_datetime64_dtype(series)
     return is_date_value
-
-

sweetviz/graph_associations.py

@@ -478,4 +478,3 @@ def corrplot(correlation_dataframe, dataframe_report, size_scale=100, marker='s'
         size_scale=config["Associations"].getfloat("association_graph_size_scale"),
         dataframe_report = dataframe_report
     )
-

sweetviz/graph_numeric.py

@@ -68,10 +68,12 @@ def __init__(self, which_graph: str, to_process: FeatureToProcess):
 
         gap_percent = config["Graphs"].getfloat("summary_graph_categorical_gap")
 
-        warnings.filterwarnings('ignore', category=np.VisibleDeprecationWarning)
-        self.hist_specs = axs.hist(plot_data, weights = normalizing_weights, bins=self.num_bins, \
-                                   rwidth = (100.0 - gap_percent) / 100.0)
-        warnings.filterwarnings('once', category=np.VisibleDeprecationWarning)
+        try:
+            self.hist_specs = axs.hist(plot_data, weights=normalizing_weights, bins=self.num_bins, \
+                                       rwidth=(100.0 - gap_percent) / 100.0)
+        except np.VisibleDeprecationWarning as e:
+            # Handle the warning explicitly or log it for debugging
+            print(f"Warning encountered during histogram plotting: {e}")
 
         bin_limits = self.hist_specs[1]
         num_bins = len(bin_limits) - 1

sweetviz/series_analyzer.py

@@ -46,7 +46,7 @@ def fill_out_missing_counts_in_other_series(my_counts:dict, other_counts:dict):
     # to_fill_list = ["value_counts_with_nan", "value_counts_without_nan"]
     to_fill_list = ["value_counts_without_nan"]
     for to_fill in to_fill_list:
-        fill_using_strings = True if my_counts[to_fill].index.dtype.name in ('category', 'object') else False
+        fill_using_strings = True if my_counts[to_fill].index.dtype.name in ('category', 'object', 'bool') else False
         for key, value in other_counts[to_fill].items():
             if key not in my_counts[to_fill]:
                 # If categorical, must do this hack to add new value

sweetviz/series_analyzer_cat.py

@@ -152,5 +152,3 @@ def analyze(to_process: FeatureToProcess, feature_dict: dict):
         feature_dict["html_summary"] = sv_html.generate_html_summary_cat(feature_dict, compare_dict)
 
     return
-
-

sweetviz/sv_public.py

@@ -30,15 +30,15 @@ def compare_intra(source_df: pd.DataFrame,
                   target_feat: str = None,
                   feat_cfg: FeatureConfig = None,
                   pairwise_analysis: str = 'auto'):
-    if len(source_df) != len(condition_series):
+    if not source_df.index.equals(condition_series.index):
         raise ValueError('compare_intra() expects source_df and '
-                         'condition_series to be the same length')
+                         'condition_series to have aligned indices')
     if condition_series.dtypes != bool:
         raise ValueError('compare_intra() requires condition_series '
                          'to be boolean length')
 
     data_true = source_df[condition_series]
-    data_false = source_df[condition_series == False]
+    data_false = source_df[~condition_series]
     if len(data_false) == 0:
         raise ValueError('compare_intra(): FALSE dataset is empty, nothing to compare!')
     if len(data_true) == 0:
@@ -47,4 +47,3 @@ def compare_intra(source_df: pd.DataFrame,
                                       [data_false, names[1]],
                                       pairwise_analysis, feat_cfg)
     return report
-