TypeError: unhashable type: 'list' in 'analyze' method building target_dict["duplicates"]

[kbroughton]

First try using sweetviz. I'm running in a modified scipy-notebook container running python3.9.

import sweetviz as sv

my_report = sv.analyze(df)
my_report.show_html()

[Summarizing dataframe]
[ 0%] 00:00 -> (? left)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_1008/3374629033.py in <module>
      1 import sweetviz as sv
      2 
----> 3 my_report = sv.analyze(df, target_feat='state')
      4 my_report.show_html()

/opt/conda/lib/python3.9/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

/opt/conda/lib/python3.9/site-packages/sweetviz/dataframe_report.py in __init__(self, source, target_feature_name, compare, pairwise_analysis, fc)
    127         self.progress_bar.set_description_str("[Summarizing dataframe]")
    128         self.summary_source = dict()
--> 129         self.summarize_dataframe(source_df, self.source_name, self.summary_source, fc.skip)
    130         # UPDATE 2021-02-05: Count the target has an actual feature!!! It is!!!
    131         # if target_feature_name:

/opt/conda/lib/python3.9/site-packages/sweetviz/dataframe_report.py in summarize_dataframe(self, source, name, target_dict, skip)
    357             target_dict["memory_single_row"] = 0
    358 
--> 359         target_dict["duplicates"] = NumWithPercent(sum(source.duplicated()), len(source))
    360         target_dict["num_cmp_not_in_source"] = 0 # set later, as needed
    361 

/opt/conda/lib/python3.9/site-packages/pandas/core/frame.py in duplicated(self, subset, keep)
   6198 
   6199         vals = (col.values for name, col in self.items() if name in subset)
-> 6200         labels, shape = map(list, zip(*map(f, vals)))
   6201 
   6202         ids = get_group_index(

/opt/conda/lib/python3.9/site-packages/pandas/core/frame.py in f(vals)
   6171 
   6172         def f(vals) -> tuple[np.ndarray, int]:
-> 6173             labels, shape = algorithms.factorize(vals, size_hint=len(self))
   6174             return labels.astype("i8", copy=False), len(shape)
   6175 

/opt/conda/lib/python3.9/site-packages/pandas/core/algorithms.py in factorize(values, sort, na_sentinel, size_hint)
    759             na_value = None
    760 
--> 761         codes, uniques = factorize_array(
    762             values, na_sentinel=na_sentinel, size_hint=size_hint, na_value=na_value
    763         )

/opt/conda/lib/python3.9/site-packages/pandas/core/algorithms.py in factorize_array(values, na_sentinel, size_hint, na_value, mask)
    561 
    562     table = hash_klass(size_hint or len(values))
--> 563     uniques, codes = table.factorize(
    564         values, na_sentinel=na_sentinel, na_value=na_value, mask=mask
    565     )

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.factorize()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable._unique()

TypeError: unhashable type: 'list'

[tomgallagher]

Me too. I have structs and lists in some data frame columns. I'm guessing this is a problem for Sweetviz?

[Isaamarod]

It worked in my case! I turned into string the lists in the column

df`['col']..apply(lambda x: ', '.join(x))

To know the columns with this issue:

columns_with_lists = [col for col in df.columns if df[col].apply(lambda x: isinstance(x, list)).any()]