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

[savioricardog]

Acredito que contenha um erro no arquivo 'graph_numeric', Pois estava ocorrendo este erro e após eu alterar o arquivo Disso: 70 "np.warnings.filterwarnings('ignore', category=np.VisibleDeprecationWarning) 71 self.hist_specs = axs.hist(plot_data, weights = normalizing_weights, bins=self.num_bins, \ 72 rwidth = (100.0 - gap_percent) / 100.0) 73 np.warnings.filterwarnings('once', category=np.VisibleDeprecationWarning)"

Para isso: "import warnings 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)"

Resolveu o problema descrito abaixo.

Feature: HOME_FG |█▉ | [ 19%] 00:00 -> (00:02 left)

AttributeError Traceback (most recent call last) Cell In[18], line 1 ----> 1 report = sv.analyze(data) 2 report.show_html()

File ~\AppData\Local\Programs\Python\Python311\Lib\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 ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\sweetviz\dataframe_report.py:256, in DataframeReport.init(self, source, target_feature_name, compare, pairwise_analysis, fc) 253 for f in features_to_process: 254 # start = time.perf_counter() 255 self.progress_bar.set_description_str(f"Feature: {f.source.name}") --> 256 self._features[f.source.name] = sa.analyze_feature_to_dictionary(f) 257 self.progress_bar.update(1) 258 # print(f"DONE FEATURE------> {f.source.name}" 259 # f" {(time.perf_counter() - start):.2f} {self._features[f.source.name]['type']}") 260 # self.progress_bar.set_description_str('[FEATURES DONE]') 261 # self.progress_bar.close() 262 263 # Wrap up summary

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\sweetviz\series_analyzer.py:136, in analyze_feature_to_dictionary(to_process) 134 # Perform full analysis on source/compare/target 135 if returned_feature_dict["type"] == FeatureType.TYPE_NUM: --> 136 sweetviz.series_analyzer_numeric.analyze(to_process, returned_feature_dict) 137 elif returned_feature_dict["type"] == FeatureType.TYPE_CAT: 138 sweetviz.series_analyzer_cat.analyze(to_process, returned_feature_dict)

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\sweetviz\series_analyzer_numeric.py:101, in analyze(to_process, feature_dict) 97 do_stats_numeric(to_process.compare, compare_dict) 99 do_detail_numeric(to_process.source, to_process.source_counts, to_process.compare_counts, feature_dict) --> 101 feature_dict["minigraph"] = GraphNumeric("mini", to_process) 102 feature_dict["detail_graphs"] = list() 103 for num_bins in [0, 5, 15, 30]:

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\sweetviz\graph_numeric.py:70, in GraphNumeric.init(self, which_graph, to_process) 66 normalizing_weights = norm_source 68 gap_percent = config["Graphs"].getfloat("summary_graph_categorical_gap") ---> 70 np.warnings.filterwarnings('ignore', category=np.VisibleDeprecationWarning) 71 self.hist_specs = axs.hist(plot_data, weights = normalizing_weights, bins=self.num_bins, \ 72 rwidth = (100.0 - gap_percent) / 100.0) 73 np.warnings.filterwarnings('once', category=np.VisibleDeprecationWarning)

File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\numpy__init.py:320, in getattr(attr) 317 from .testing import Tester 318 return Tester --> 320 raise AttributeError("module {!r} has no attribute " 321 "{!r}".format(name__, attr))

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

[thomasmooon]

I also observed this bug. Fine after downgrading to numpy < 1.24 , as workaround do pip install numpy=1.23.4 or mamba install numpy=1.23.4, as with this version of numpy many new deprecations took place, see also release notes: https://github.com/numpy/numpy/releases/tag/v1.24.0

The bug here IMHO is, that sweetviz hasn't updated to this behaviour yet.

[frank1010111]

You can use the latest numpy with this fix: https://github.com/fbdesignpro/sweetviz/pull/131#issuecomment-1401394461

[fbdesignpro]

@savioricardog @thomasmooon @frank1010111 thank you for reporting and mentioning workarounds. I am currently on break for the next few days but will be investigating this upon my return, hopefully we can fix this quickly.

[fbdesignpro]

Thanks again for reporting this, should be fixed with the latest version 2.2.1! Please let us know if you run into anything else with the latest version.

[mingjun1120]

@fbdesignpro, I encountered the following error: "AttributeError: module 'numpy' has no attribute 'VisibleDeprecationWarning'" while attempting to use sweetviz==2.3.1 and numpy==2.0.1.

[arvin1408]

@mingjun1120 Same here. Got it working with numpy = "<2.0.0"

[frank1010111]

Thank you for catching that. It appears that numpy 2 has permanently moved VisibleDeprecationWarning to numpy.exceptions. I'm testing a fix.