pd.MultiIndex() 报错 TypeError: new() got an unexpected keyword argument ‘labels‘

迷南。 2023-02-23 08:16 14阅读 0赞

## pd.MultiIndex() ##

## 报错 TypeError: **new**() got an unexpected keyword argument ‘labels’ ##

coefficients = list()
    
    coeff_labels = ['lr', 'l1', 'l2']
    coeff_models = [lr, lr_l1, lr_l2]
    
    for lab,mod in zip(coeff_labels, coeff_models):
        coeffs = mod.coef_
        coeff_label = pd.MultiIndex(levels=[[lab], [0,1,2,3,4,5]], 
                                     labels=[[0,0,0,0,0,0], [0,1,2,3,4,5]])
        coefficients.append(pd.DataFrame(coeffs.T, columns=coeff_label))
    
    coefficients = pd.concat(coefficients, axis=1)
    
    coefficients.sample(10)

## 报错信息 ##

---------------------------------------------------------------------------
    TypeError                                 Traceback (most recent call last)
    <ipython-input-23-a2d41abfe2ce> in <module>()
          8     coeffs = mod.coef_
          9     coeff_label = pd.MultiIndex(levels=[[lab], [0,1,2,3,4,5]], 
    ---> 10                                  labels=[[0,0,0,0,0,0], [0,1,2,3,4,5]])
         11     coefficients.append(pd.DataFrame(coeffs.T, columns=coeff_label))
         12 
    
    TypeError: __new__() got an unexpected keyword argument 'labels'

## 解决方法 ##

### 使用pd.MultiIndex.from\_product() 替换 pd.MultiIndex() ###

coeff_label = pd.MultiIndex.from_product([[lab], [0,1,2,3,4,5]], names=['coeff_labels', 'coefficient'])