'<'Tukey HSD测试的'float'和'str'错误之间不支持

问题描述

运行Tukey测试时出现一个奇怪的错误.我希望在我尝试了很多之后，有人能够为我提供帮助.这是我的数据框:

I get a strange error when running the Tukey test. I hope somebody is able to help me with this as I tried a lot. This is my dataframe:

    Name      Score
1   A         2.29
2   B         2.19

这是我的Tukey测试代码:

This is my Tukey Test code:

#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?预先感谢！

How can this error be resolved? Thanks in advance!

推荐答案

您遇到了问题，因为 df ['Name'] 包含浮点数和字符串AND df ['Name']的类型为 pandas.core.series.Series .从追溯中可以看出，这种组合会导致 numpy.unique()出现错误.您可以通过两种方法解决该问题.

You have the problem because df['Name'] contains both floats and strings AND df['Name'] is of type pandas.core.series.Series. This combination leads to an error with numpy.unique() as seen from traceback. You can fix the problem with 2 ways.

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

OR

确保 df ['Name'] 仅包含数字或字符串.

Make sure df['Name'] contains only numbers or only strings.

这篇关于'<'Tukey HSD测试的'float'和'str'错误之间不支持的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！