showcase pandas-summary breaks

[frankbolton]

When running the example code the following snippet breaks

from pandas_summary import DataFrameSummary
dfs = DataFrameSummary(XY_df)
dfs.summary()

The Conda environment in use was set up specifically for evaluation of the octopus-ml:

octopus-ml 0.1.9 pypi_0 pypi
pandas 1.2.4 py38h60cbd38_0 conda-forge
pandas-summary 0.0.41 py_1 conda-forge

Error message:

AttributeError Traceback (most recent call last)
in
1 import missingno as msno
2 from pandas_summary import DataFrameSummary
----> 3 dfs = DataFrameSummary(XY_df)
4 # dfs.summary()

~\Miniconda3\envs\octopus\lib\site-packages\pandas_summary_init_.py in init(self, df)
25 self.df = df
26 self.length = len(df)
---> 27 self.columns_stats = self._get_stats()
28 self.corr = df.corr()
29

~\Miniconda3\envs\octopus\lib\site-packages\pandas_summary_init_.py in _get_stats(self)
87 # settings types
88 stats['types'] = ''
---> 89 columns_info = self._get_columns_info(stats)
90 for ctype, columns in columns_info.items():
91 stats.ix[columns, 'types'] = ctype

~\Miniconda3\envs\octopus\lib\site-packages\pandas_summary_init_.py in _get_columns_info(self, stats)
109 self.EXCLUDE,
110 column_info['constant'].union(column_info['bool']))
--> 111 column_info[self.TYPE_NUMERIC] = pd.Index([c for c in rest_columns
112 if common.is_numeric_dtype(self.df[c])])
113 rest_columns = self.get_columns(self.df[rest_columns], self.EXCLUDE, column_info['numeric'])

~\Miniconda3\envs\octopus\lib\site-packages\pandas_summary_init_.py in (.0)
110 column_info['constant'].union(column_info['bool']))
111 column_info[self.TYPE_NUMERIC] = pd.Index([c for c in rest_columns
--> 112 if common.is_numeric_dtype(self.df[c])])
113 rest_columns = self.get_columns(self.df[rest_columns], self.EXCLUDE, column_info['numeric'])
114 column_info[self.TYPE_DATE] = pd.Index([c for c in rest_columns

AttributeError: module 'pandas.core.common' has no attribute 'is_numeric_dtype'

[gershonc]

Yeah, it was an Pandas_summary issue, it solved now