AttributeError: 'MergedCellRange' object has no attribute 'contains'

`AttributeError`通常发生在试图访问对象的一个属性或方法时，但是该对象实际上并没有这个属性或方法。在这个情况下，`'MergedCellRange' object has no attribute 'contains'`错误意味着你在尝试使用`contains()`函数来检查`openpyxl`的`MergedCellRange`对象时出错，因为这个对象确实没有提供`contains`这个属性。

`contains()`方法可能是`openpyxl`的一个预期功能，但在`MergedCellRange`对象上并不直接可用。为了确认单元格是否被合并，你应该查阅`openpyxl`的官方文档，看看是否有其他适当的方法或者你需要从`merged_cells`对象的`ranges`属性中提取信息来进行判断。

例如，你可以遍历`ranges`来查找包含给定坐标的具体`MergedCell`实例，然后检查它们的状态：

for cell_range in ws.merged_cells.ranges:
    if cell_range.start == (row, col):  # row 和 col是你想要检查的单元格坐标
        # 执行合并状态的检查
        break
else:
    print(f"单元格({row}, {col})未被合并")

如果你需要确定某个区域是否全部被合并，可能需要自定义一些逻辑。

相关问题

AttributeError: DataFrame object has no attribute append . Did you mean: _append ?

This error occurs when you try to call the `append` method on a Pandas DataFrame object, but the object does not have an `append` attribute.

One possible reason for this error is that you are trying to append a DataFrame to another DataFrame using the `append` method, but you are not using it correctly. In Pandas, the `append` method does not modify the original DataFrame, but instead it returns a new DataFrame that contains the rows from both DataFrames. Therefore, you need to assign the result of the `append` method to a new variable or to the original DataFrame, like this:

df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]})
df3 = df1.append(df2)

In this example, `df3` will contain the rows from both `df1` and `df2`.

If you are still getting the AttributeError, it's possible that the DataFrame object you are trying to append to does not have an `append` attribute. In this case, you can try using the `_append` attribute instead, which is a private method that is used internally by Pandas. However, be aware that using private methods may not be supported in future versions of Pandas and may cause unexpected behavior.

df1._append(df2)

AttributeError: 'str' object has no attribute 'contains'

这个错误通常是由于尝试在字符串上调用`contains`方法而引起的。这是因为Python中的字符串对象没有`contains`方法。

如果您想检查一个字符串是否包含另一个子字符串，可以使用`in`操作符来检查子字符串是否存在于父字符串中。

例如：

if 'hello' in 'hello world':
    print('Substring found')

如果您需要更高级的字符串匹配操作，可以使用Python的re模块来进行正则表达式匹配。