Incompatibility with Numpy >= 2.0

[LucasSom]

Hi!

I'm trying to use the library using numpy==2.2.6 (latest version) and numpy==2.1.3 (latest of 2.1) and it doesn't work because, I think (reading the documentation), at lines 71 and 74 of sweetviz/graph_numeric.py there is a call to np.VisibleDeprecationWarning but since v2.0, numpy has this warning as an exception (i.e., you have to replace the lines with np.exceptions.VisibleDeprecationWarning).

Here is my code:

import sweetviz as sv

report = sv.analyze(data)
report.show_html("sweetviz_report.html")

and here the error traeback:

AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_30607/2909702403.py in <module>
      2 import sweetviz as sv
      3 
----> 4 report = sv.analyze(data)
      5 report.show_html("sweetviz_report.html")

~/.../venv/lib/python3.12/site-packages/sweetviz/sv_public.py in analyze(source, target_feat, feat_cfg, pairwise_analysis)
     10             feat_cfg: FeatureConfig = None,
     11             pairwise_analysis: str = 'auto'):
---> 12     report = sweetviz.DataframeReport(source, target_feat, None,
     13                                       pairwise_analysis, feat_cfg)
     14     return report

~/.../venv/lib/python3.12/site-packages/sweetviz/dataframe_report.py in __init__(self, source, target_feature_name, compare, pairwise_analysis, fc, verbosity)
    275             # start = time.perf_counter()
    276             self.progress_bar.set_description_str(f"Feature: {f.source.name}")
--> 277             self._features[f.source.name] = sa.analyze_feature_to_dictionary(f)
    278             self.progress_bar.update(1)
    279             # print(f"DONE FEATURE------> {f.source.name}"

~/.../venv/lib/python3.12/site-packages/sweetviz/series_analyzer.py in analyze_feature_to_dictionary(to_process)
    140     # Perform full analysis on source/compare/target
    141     if returned_feature_dict["type"] == FeatureType.TYPE_NUM:
--> 142         sweetviz.series_analyzer_numeric.analyze(to_process, returned_feature_dict)
    143     elif returned_feature_dict["type"] == FeatureType.TYPE_CAT:
    144         sweetviz.series_analyzer_cat.analyze(to_process, returned_feature_dict)

~/.../venv/lib/python3.12/site-packages/sweetviz/series_analyzer_numeric.py in analyze(to_process, feature_dict)
    100     do_detail_numeric(to_process.source, to_process.source_counts, to_process.compare_counts, feature_dict)
    101 
--> 102     feature_dict["minigraph"] = GraphNumeric("mini", to_process)
    103     feature_dict["detail_graphs"] = list()
    104     for num_bins in [0, 5, 15, 30]:

~/.../venv/lib/python3.12/site-packages/sweetviz/graph_numeric.py in __init__(self, which_graph, to_process)
     69         gap_percent = config["Graphs"].getfloat("summary_graph_categorical_gap")
     70 
---> 71         warnings.filterwarnings('ignore', category=np.VisibleDeprecationWarning)
     72         self.hist_specs = axs.hist(plot_data, weights = normalizing_weights, bins=self.num_bins, \
     73                                    rwidth = (100.0 - gap_percent) / 100.0)

~/.../venv/lib/python3.12/site-packages/numpy/__init__.py in __getattr__(attr)
    412             return char.chararray
    413 
--> 414         raise AttributeError("module {!r} has no attribute "
    415                              "{!r}".format(__name__, attr))
    416 

AttributeError: module 'numpy' has no attribute 'VisibleDeprecationWarning'