AttributeError: 'list' object has no attribute 'duplicated'

`AttributeError: 'list' object has no attribute 'duplicated'`是一个常见的Python错误，它发生在尝试对非`pandas.DataFrame`或`pandas.Series`类型的对象调用`duplicated`函数时。`duplicated()`是Pandas库中用于检查重复值的方法，仅适用于这些数据结构。

如果你有一个普通的Python列表(`list`)想要检查重复，你应该先将其转换成`set`或`pandas.Index`，然后再进行判断。例如：

# 假设你有一个列表
column_names = ['col1', 'col2', 'col1']

# 将列表转换为Index对象
column_names_index = pd.Index(column_names)

# 检查重复
has_duplicates = column_names_index.duplicated().any()

这里要注意的是，列表转为`Index`之后，如果原本的列表中有重复，`duplicated()`会返回True，因为重复的元素会被视为独立的元素。

相关问题

AttributeError: list object has no attribute iloc

`iloc` is an attribute of a Pandas DataFrame or Series object, not a list object.

If you are trying to access a specific element within a list, you can use indexing to retrieve the element at a specific position. For example, if you have a list `my_list` and you want to retrieve the element at index 0, you can use `my_list[0]`.

If you are trying to use `iloc` on a DataFrame or Series object but are receiving this error, it may be because you are trying to apply it to a list object instead. Make sure you have properly converted your data to a Pandas DataFrame or Series before trying to use the `iloc` attribute.

AttributeError: list object has no attribute squeeze

AttributeError: list object has no attribute squeeze是因为在列表对象上调用squeeze方法，而列表对象并没有squeeze方法。squeeze方法是numpy数组对象的方法，用于从数组的形状中删除单维度条目。如果想要使用squeeze方法，需要将列表对象转换为numpy数组对象。

以下是一个例子：

import numpy as np

# 将列表转换为numpy数组
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(a)

# 使用squeeze方法删除单维度条目
b = np.squeeze(a)
print(b)