ValueError when generating profile from dataframe about ydata-profiling HOT 6 CLOSED

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ValueError                                Traceback (most recent call last)
<ipython-input-3-d4e9ca79f757> in <module>()
----> 1 df3.profile_report()

/anaconda3/lib/python3.6/site-packages/pandas_profiling/controller/pandas_decorator.py in profile_report(df, **kwargs)
     14         A ProfileReport of the DataFrame.
     15     """
---> 16     p = ProfileReport(df, **kwargs)
     17     return p
     18 

/anaconda3/lib/python3.6/site-packages/pandas_profiling/__init__.py in __init__(self, df, **kwargs)
     56 
     57         # Get dataset statistics
---> 58         description_set = describe_df(df)
     59 
     60         # Get sample

/anaconda3/lib/python3.6/site-packages/pandas_profiling/model/describe.py in describe(df)
    454 
    455     # Get correlations
--> 456     correlations = calculate_correlations(df, variables)
    457 
    458     # Check correlations between numerical variables

/anaconda3/lib/python3.6/site-packages/pandas_profiling/model/correlations.py in calculate_correlations(df, variables)
    187     for correlation_name, get_matrix in categorical_correlations.items():
    188         if config["correlations"][correlation_name].get(bool):
--> 189             correlation = get_matrix(df, variables)
    190             if len(correlation) > 0:
    191                 correlations[correlation_name] = correlation

/anaconda3/lib/python3.6/site-packages/pandas_profiling/model/correlations.py in recoded_matrix(df, variables)
     72         A recoded matrix for categorical variables.
     73     """
---> 74     return categorical_matrix(df, variables, partial(check_recoded, count=len(df)))
     75 
     76 

/anaconda3/lib/python3.6/site-packages/pandas_profiling/model/correlations.py in categorical_matrix(df, variables, correlation_function)
    108         correlation_matrix.loc[name2, name1] = correlation_matrix.loc[
    109             name1, name2
--> 110         ] = correlation_function(confusion_matrix)
    111 
    112     return correlation_matrix

/anaconda3/lib/python3.6/site-packages/pandas_profiling/model/correlations.py in check_recoded(confusion_matrix, count)
     44         Whether the variables are recoded.
     45     """
---> 46     return int(confusion_matrix.values.diagonal().sum() == count)
     47 
     48 

ValueError: diag requires an array of at least two dimensions