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View Code? Open in Web Editor NEWA collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
License: MIT License
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
License: MIT License
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
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'
The example notebooks are dependent on the following libraries being installed
optuna
pandas-summary
missingno
It would be helpful to automatically install these or to document the dependency along with the relative conda install instructions in the readme file.
conda install -c conda-forge optuna
conda install -c conda-forge pandas-summary
conda install -c conda-forge missingno
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