pandas 类型错误：“系列”对象是可变的，因此它们不能被列散列问题
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TypeError: 'Series' objects are mutable, thus they cannot be hashed problemwith column
提问by Corentin Moreau
I have a problem with a column of my dataframe but I don't understand why there are trouble on my column cat.
我的数据框列有问题，但我不明白为什么我的列 cat 出现问题。
回答by jpp
Your series contains other pd.Seriesobjects. This is bad practice. In general, you should ensure your series is of a fixed type to enable you to perform manipulations without having to check for typeexplicitly.
您的系列包含其他pd.Series对象。这是不好的做法。通常，您应该确保您的系列是固定类型，以便您无需type明确检查即可执行操作。
Your error is due to pd.Seriesobjects not being hashable. One workaround is to use a function to convert pd.Seriesobjects to a hashable type such as tuple:
您的错误是由于pd.Series对象不可散列。一种解决方法是使用函数将pd.Series对象转换为可散列类型，例如tuple：
s = pd.Series(['one string', 'another string', pd.Series([1, 2, 3])])
def converter(x):
if isinstance(x, pd.Series):
return tuple(x.values)
else:
return x
res = s.apply(converter).unique()
print(res)
['one string' 'another string' (1, 2, 3)]
