获取 ValueError：endog 和 exog 的索引未对齐

Question

新手上路，请多包涵

当我使用 FOR 循环运行迭代来构建多个模型时，出现上述错误。具有相似数据集的前两个模型构建良好。在构建第三个模型时出现此错误。抛出错误的代码是当我使用 python 的 Statsmodel 包调用 sm.logit() 时：

 y = y_mort.convert_objects(convert_numeric=True)

#Building Logistic model_LSVC
print("Shape of y:", y.shape, " &&Shape of X_selected_lsvc:", X.shape)
print("y values:",y.head())
logit = sm.Logit(y,X,missing='drop')

出现的错误：

 Shape of y: (9018,)  &&Shape of X_selected_lsvc: (9018, 59)
y values: 0    0
1    1
2    0
3    0
4    0
Name: mort, dtype: int64
ValueError                                Traceback (most recent call last)
<ipython-input-8-fec746e2ee99> in <module>()
    160     print("Shape of y:", y.shape, " &&Shape of X_selected_lsvc:", X.shape)
    161     print("y values:",y.head())
--> 162     logit = sm.Logit(y,X,missing='drop')
    163     # fit the model
    164     est = logit.fit(method='cg')

D:\Anaconda3\lib\site-packages\statsmodels\discrete\discrete_model.py in __init__(self, endog, exog, **kwargs)
    399
    400     def __init__(self, endog, exog, **kwargs):
--> 401         super(BinaryModel, self).__init__(endog, exog, **kwargs)
    402         if (self.__class__.__name__ != 'MNLogit' and
    403                 not np.all((self.endog >= 0) & (self.endog <= 1))):

D:\Anaconda3\lib\site-packages\statsmodels\discrete\discrete_model.py in __init__(self, endog, exog, **kwargs)
    152     """
    153     def __init__(self, endog, exog, **kwargs):
--> 154         super(DiscreteModel, self).__init__(endog, exog, **kwargs)
    155         self.raise_on_perfect_prediction = True
    156

D:\Anaconda3\lib\site-packages\statsmodels\base\model.py in __init__(self, endog, exog, **kwargs)
    184
    185     def __init__(self, endog, exog=None, **kwargs):
--> 186         super(LikelihoodModel, self).__init__(endog, exog, **kwargs)
    187         self.initialize()
    188

D:\Anaconda3\lib\site-packages\statsmodels\base\model.py in __init__(self, endog, exog, **kwargs)
     58         hasconst = kwargs.pop('hasconst', None)
     59         self.data = self._handle_data(endog, exog, missing, hasconst,
---> 60                                       **kwargs)
     61         self.k_constant = self.data.k_constant
     62         self.exog = self.data.exog

D:\Anaconda3\lib\site-packages\statsmodels\base\model.py in _handle_data(self, endog, exog, missing, hasconst, **kwargs)
     82
     83     def _handle_data(self, endog, exog, missing, hasconst, **kwargs):
---> 84         data = handle_data(endog, exog, missing, hasconst, **kwargs)
     85         # kwargs arrays could have changed, easier to just attach here
     86         for key in kwargs:

D:\Anaconda3\lib\site-packages\statsmodels\base\data.py in handle_data(endog, exog, missing, hasconst, **kwargs)
    564     klass = handle_data_class_factory(endog, exog)
    565     return klass(endog, exog=exog, missing=missing, hasconst=hasconst,
--> 566                  **kwargs)

D:\Anaconda3\lib\site-packages\statsmodels\base\data.py in __init__(self, endog, exog, missing, hasconst, **kwargs)
     74         # this has side-effects, attaches k_constant and const_idx
     75         self._handle_constant(hasconst)
---> 76         self._check_integrity()
     77         self._cache = resettable_cache()
     78

D:\Anaconda3\lib\site-packages\statsmodels\base\data.py in _check_integrity(self)
    450                 (hasattr(endog, 'index') and hasattr(exog, 'index')) and
    451                 not self.orig_endog.index.equals(self.orig_exog.index)):
--> 452             raise ValueError("The indices for endog and exog are not aligned")
    453         super(PandasData, self)._check_integrity()
    454

ValueError: The indices for endog and exog are not aligned

y 矩阵和 X 矩阵的形状为 (9018,),(9018, 59)。因此，因变量和自变量的任何不匹配都不会出现。任何想法？