AttributeError: 'DataFrame' object has no attribute 'append'
时间: 2023-06-08 12:08:27 浏览: 687
这个错误通常是由于使用 pandas中的DataFrame对象时,尝试使用.append()方法,但是该方法不适用于DataFrame。.append()方法适用于列表和Series对象。要将一行数据添加到DataFrame中,可以使用.loc[]方法。
例如:
```
import pandas as pd
# 创建一个空的DataFrame
df = pd.DataFrame(columns=['A', 'B', 'C'])
# 要添加的数据
new_data = {'A': 1, 'B': 2, 'C': 3}
# 使用.loc[]方法添加数据
df.loc[len(df)] = new_data
```
这将在DataFrame末尾添加一行数据,即将new_data字典插入DataFrame中。
希望这可以帮助你解决你的问题!
相关问题
AttributeError: DataFrame object has no attribute append
AttributeError: 'DataFrame' object has no attribute 'append' 错误通常发生在使用DataFrame对象的append方法时。这个错误的原因是因为在pandas的较新版本中,DataFrame对象已经不再具有append方法。
解决这个问题的方法是使用concat函数来连接两个DataFrame对象。concat函数可以在行或列方向上合并数据。如果想要在行方向上合并两个DataFrame对象,可以使用concat函数的axis参数设置为0。例如:
```python
import pandas as pd
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12})
result = pd.concat([df1, df2], axis=0)
```
在这个例子中,df1和df2是两个DataFrame对象,通过concat函数,我们将它们在行方向上合并为一个新的DataFrame对象result。<span class="em">1</span><span class="em">2</span><span class="em">3</span><span class="em">4</span>
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)
```
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