.reset_index()
时间: 2024-06-07 14:12:09 浏览: 20
`.reset_index()`是一个Pandas库中的函数,用于重置数据框索引。当我们对数据进行操作后,可能会导致索引的混乱或重复,使用`.reset_index()`可以将索引重新排序并创建一个新的从0开始的整数索引列。
你可以在Pandas数据框上调用`.reset_index()`方法,例如:
```python
df_reset = df.reset_index()
```
这将创建一个新的数据框`df_reset`,其中包含重置后的索引列。默认情况下,原始索引将成为新列的一部分。如果你不想保留原始索引作为列,可以使用`drop=True`参数:
```python
df_reset = df.reset_index(drop=True)
```
这样将会丢弃原始索引列。希望这个解答对你有帮助!如果你还有其他问题,请随时提问。
相关问题
rate.reset_index
`reset_index()` is a method in pandas library in Python that resets the index of a dataframe to the default integer index. It is useful when the index of a dataframe needs to be reset after some operations that may have changed the index.
For example, if you have a dataframe `df` with a custom index and you want to reset it to the default integer index, you can use the `reset_index()` method as follows:
```
df = df.reset_index()
```
This will reset the index of the dataframe `df` to the default integer index and create a new column called "index" with the old index values.
Now, coming to your code `rate.reset_index`, it seems that you are calling the `reset_index()` method on a dataframe called `rate`. However, since there is no assignment to a variable or any other operation being performed on the resulting dataframe, this code will not have any effect.
To actually reset the index of the dataframe `rate`, you need to assign the result of the `reset_index()` method to a variable or use the `inplace=True` parameter to modify the dataframe in place. For example:
```
rate = rate.reset_index()
```
Or,
```
rate.reset_index(inplace=True)
```
This will actually reset the index of the dataframe `rate` to the default integer index.
Series.reset_index
Series.reset_index is a method in pandas library that is used to reset the index of a pandas Series. By default, the method creates a new DataFrame with the original index being added as a new column. The new index is set to the default range index starting from 0.
Syntax:
Series.reset_index(level=None, drop=False, name=None, inplace=False)
Parameters:
- level: It is an optional parameter that is used to specify the level(s) to be reset. If not specified, all levels are reset.
- drop: It is a boolean parameter that is used to drop the index column(s) after reset. If set to True, the index column(s) are dropped, and only the new range index is used. If set to False, the index column(s) are kept.
- name: It is an optional parameter that is used to specify the name of the new index column.
- inplace: It is a boolean parameter that is used to specify whether to modify the original Series or return a new Series.
Returns:
- A new DataFrame if inplace=False. Otherwise, None is returned, and the original Series is modified.
相关推荐
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)