Python 3.x Tukey HSD测试的“float”和“str”错误实例之间不支持“

我在运行Tukey测试时遇到一个奇怪的错误。我希望有人能帮助我，因为我已经尝试了很多。这是我的数据帧：

    Name      Score
1   A         2.29
2   B         2.19  

这是我的Tukey测试代码：

#TUKEY HSD TEST

tukey = pairwise_tukeyhsd(endog=df['Score'].astype('float'),     
                          groups=df['Name'],                     
                          alpha=0.05)                          

tukey.plot_simultaneous()                                      
plt.vlines(x=49.57,ymin=-0.5,ymax=4.5, color="red")

tukey.summary() 

这就是错误：

<ipython-input-12-3e12e78a002f> in <module>()
      2 tukey = pairwise_tukeyhsd(endog=df['Score'].astype('float'),     
      3                           groups=df['Name'],
----> 4                           alpha=0.05)                          
      5 
      6 tukey.plot_simultaneous()

/usr/local/lib/python3.6/dist-packages/statsmodels/stats/multicomp.py in pairwise_tukeyhsd(endog, groups, alpha)
     36     '''
     37 
---> 38     return MultiComparison(endog, groups).tukeyhsd(alpha=alpha)

/usr/local/lib/python3.6/dist-packages/statsmodels/sandbox/stats/multicomp.py in __init__(self, data, groups, group_order)
    794         if group_order is None:
    795             self.groupsunique, self.groupintlab = np.unique(groups,
--> 796                                                             return_inverse=True)
    797         else:
    798             #check if group_order has any names not in groups

/usr/local/lib/python3.6/dist-packages/numpy/lib/arraysetops.py in unique(ar, return_index, return_inverse, return_counts, axis)
    221     ar = np.asanyarray(ar)
    222     if axis is None:
--> 223         return _unique1d(ar, return_index, return_inverse, return_counts)
    224     if not (-ar.ndim <= axis < ar.ndim):
    225         raise ValueError('Invalid axis kwarg specified for unique')

/usr/local/lib/python3.6/dist-packages/numpy/lib/arraysetops.py in _unique1d(ar, return_index, return_inverse, return_counts)
    278 
    279     if optional_indices:
--> 280         perm = ar.argsort(kind='mergesort' if return_index else 'quicksort')
    281         aux = ar[perm]
    282     else:

**TypeError: '<' not supported between instances of 'float' and 'str'**

---

如何解决此错误？提前谢谢

您遇到了问题，因为df['Name']同时包含浮点数和字符串，并且df['Name']的类型为pandas.core.series.series。从回溯中可以看出，这种组合导致numpy.unique出现错误。你可以用两种方法解决这个问题

tukey = pairwise_tukeyhsd(endog=df['Score'].astype('float'),
                          groups=list(df['Name']),  # list instead of a Series
                          alpha=0.05)

或

---

确保df['Name']只包含数字或字符串。

您会遇到问题，因为df['Name']同时包含浮点数和字符串，并且df['Name']的类型为pandas.core.series.series。从回溯中可以看出，这种组合导致numpy.unique出现错误。你可以用两种方法解决这个问题

tukey = pairwise_tukeyhsd(endog=df['Score'].astype('float'),
                          groups=list(df['Name']),  # list instead of a Series
                          alpha=0.05)

或

确保df['Name']只包含数字或字符串