ValueError：嘗試返回statsmodels時必須通過2-d輸入MNLogit置信區間

以下代碼應運行MNLogit模型並返回置信區間。它成功地返回摘要，你可以看到那裏的置信區間，但是當試圖通過conf_int（）返回置信區間時，我得到一個ValueError：必須傳遞2-d輸入。ValueError：嘗試返回statsmodels時必須通過2-d輸入MNLogit置信區間

import pandas as pd 
import statsmodels.api as sm 

tmp = pd.read_csv('http://surveyanalysis.org/images/8/82/TrickedLogitMaxDiffExample.csv') 
model = sm.MNLogit.from_formula('Choice ~ 1+B+C+D+E+F', tmp, missing='drop') 
res = model.fit(method='ncg') 
print(res.summary()) 
res.conf_int() 

--------------------------------------------------------------------------- 
ValueError        Traceback (most recent call last) 
<ipython-input-255-a332500964e4> in <module>() 
     6 res = model.fit(method='ncg') 
     7 print(res.summary()) 
----> 8 res.conf_int() 

~/anaconda/lib/python3.6/site-packages/statsmodels/base/wrapper.py in wrapper(self, *args, **kwargs) 
    93    obj = data.wrap_output(func(results, *args, **kwargs), how[0], how[1:]) 
    94   elif how: 
---> 95    obj = data.wrap_output(func(results, *args, **kwargs), how) 
    96   return obj 
    97 

~/anaconda/lib/python3.6/site-packages/statsmodels/base/data.py in wrap_output(self, obj, how, names) 
    405  def wrap_output(self, obj, how='columns', names=None): 
    406   if how == 'columns': 
--> 407    return self.attach_columns(obj) 
    408   elif how == 'rows': 
    409    return self.attach_rows(obj) 

~/anaconda/lib/python3.6/site-packages/statsmodels/base/data.py in attach_columns(self, result) 
    522    return Series(result, index=self.param_names) 
    523   else: # for e.g., confidence intervals 
--> 524    return DataFrame(result, index=self.param_names) 
    525 
    526  def attach_columns_eq(self, result): 

~/anaconda/lib/python3.6/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy) 
    304    else: 
    305     mgr = self._init_ndarray(data, index, columns, dtype=dtype, 
--> 306           copy=copy) 
    307   elif isinstance(data, (list, types.GeneratorType)): 
    308    if isinstance(data, types.GeneratorType): 

~/anaconda/lib/python3.6/site-packages/pandas/core/frame.py in _init_ndarray(self, values, index, columns, dtype, copy) 
    461   # by definition an array here 
    462   # the dtypes will be coerced to a single dtype 
--> 463   values = _prep_ndarray(values, copy=copy) 
    464 
    465   if dtype is not None: 

~/anaconda/lib/python3.6/site-packages/pandas/core/frame.py in _prep_ndarray(values, copy) 
    5686  return arrays, arr_columns 
    5687 
-> 5688 
    5689 def _list_to_arrays(data, columns, coerce_float=False, dtype=None): 
    5690  if len(data) > 0 and isinstance(data[0], tuple): 

ValueError: Must pass 2-d input

來源

2017-06-16 BirdLaw

請編輯您的帖子，包括你的錯誤的完整追蹤。 –

我認爲這是一個錯誤...我注意到，如果我使用正常（非公式）語法運行模型，它可以正常工作，但是使用公式語法它不會。 – BirdLaw

你可以顯示你的'tmp'變量嗎？它是否有公式中指定的列？ –