Question

我在一台计算机上没有问题，但转移到服务器，相同的代码正在打击Pandas问题。我做了conda env update和git pull。两者都是最新的。当然，一些类似的设置问题仍然是问题，但我无法弄清楚是什么。

pandas版本在两者上都是相同的：

pip list | grep pandas 
pandas                            0.23.0
pandas-summary                    0.0.41 
sklearn-pandas                    1.6.0

AttributeError：module＆＃39; pandas.core.common＆＃39;没有属性＆＃39; is_numeric_dtype＆＃39;

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-5fc2f9e3ed3e> in <module>()
----> 1 DataFrameSummary(tables[4])

~/anaconda3/envs/fastai/lib/python3.6/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 

~/anaconda3/envs/fastai/lib/python3.6/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

~/anaconda3/envs/fastai/lib/python3.6/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'])

~/anaconda3/envs/fastai/lib/python3.6/site-packages/pandas_summary/__init__.py in <listcomp>(.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'

Answer 1

pandas.core.common.is_numeric_dtype已于0.23删除。

转到

/anaconda3/envs/fastai-cpu/lib/python3.6/site-packages/pandas_summary/__init__.py in <listcomp>(.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

并将common更改为types。

另外，将from pandas.api import types添加到文件的开头。

或者，降级至0.22

二级计算机上的Pandas异常

1 个答案: