'DataFrame' object has no attribute '_append'
时间: 2023-11-13 12:04:35 浏览: 1500
当使用pandas的DataFrame对象时,如果尝试使用append()方法添加新行,会出现错误提示:'DataFrame' object has no attribute 'append'。实际上,pandas的DataFrame对象并没有append()方法,正确的方法是使用concat()方法将两个DataFrame对象连接起来。另外,如果想要在原DataFrame对象中添加新行,可以使用loc[]方法。
相关问题
AttributeError: 'DataFrame' object has no attribute 'append' AttributeError: 'DataFrame' object has no attribute 'append'
这个错误通常是因为pandas DataFrame对象没有append方法导致的。相反,您可以使用concat方法将两个DataFrame对象连接在一起。以下是一个示例代码:
```python
import pandas as pd
# 创建两个DataFrame对象
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]})
# 使用concat方法将两个DataFrame对象连接在一起
df3 = pd.concat([df1, df2])
# 打印结果
print(df3)
```
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)
```
阅读全文