VisibleDeprecationWarning Exception

[fccoelho]

When I try to analyze a dataframe I get the following exception:

AttributeError                            Traceback (most recent call last)
Cell In[7], line 1
----> 1 sweetviz.analyze(df)

File ~/Documentos/Projects_Software/reg/.venv/lib/python3.12/site-packages/sweetviz/sv_public.py:12, in analyze(source, target_feat, feat_cfg, pairwise_analysis)
      8 def analyze(source: Union[pd.DataFrame, Tuple[pd.DataFrame, str]],
      9             target_feat: str = None,
     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

File ~/Documentos/Projects_Software/reg/.venv/lib/python3.12/site-packages/sweetviz/dataframe_report.py:277, in DataframeReport.__init__(self, source, target_feature_name, compare, pairwise_analysis, fc, verbosity)
    274 for f in features_to_process:
    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}"
    280     #       f" {(time.perf_counter() - start):.2f}   {self._features[f.source.name]['type']}")
    281 # self.progress_bar.set_description_str('[FEATURES DONE]')
    282 # self.progress_bar.close()
    283 
    284 # Wrap up summary

File ~/Documentos/Projects_Software/reg/.venv/lib/python3.12/site-packages/sweetviz/series_analyzer.py:142, 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)

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

File ~/Documentos/Projects_Software/reg/.venv/lib/python3.12/site-packages/sweetviz/graph_numeric.py:71, in GraphNumeric.__init__(self, which_graph, to_process)
     67     normalizing_weights = norm_source
     69 gap_percent = config["Graphs"].getfloat("summary_graph_categorical_gap")
---> 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)
     74 warnings.filterwarnings('once', category=np.VisibleDeprecationWarning)

File ~/Documentos/Projects_Software/reg/.venv/lib/python3.12/site-packages/numpy/__init__.py:410, in __getattr__(attr)
    407     import numpy.char as char
    408     return char.chararray
--> 410 raise AttributeError("module {!r} has no attribute "
    411                      "{!r}".format(__name__, attr))

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

Is there any way to workaround this bug?

[whentheworldfallsapart]

This seems to likely be an issue with changes in numpy 2.0. Work arounds: 1) try downgrading numpy <2.0 2) comment out lines 71 and 74 in graph_numeric.py as VisibleDeprecationWarning as they aren't critical (this is what i did) 3) VisibleDeprecationWarning is in exceptions https://numpy.org/doc/stable/reference/generated/numpy.exceptions.VisibleDeprecationWarning.html

[jwpark0921]

This is because the VisibleDeprecationWarning attribute has been removed from the main namespace since numpy 2.0. As whentheworldfallsapart said, downgrading the numpy version is the fastest solution. However, ultimately, it seems necessary to patch np.VisibleDeprecationWarning to np.exceptions.VisibleDeprecationWarning in graph_numeric.py:71 and 74.