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# Converting the index of a DataFrame into a column

schedule Aug 11, 2023
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To convert the index of a DataFrame into a column, use the DataFrame's `reset_index()` method.

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4], "B":[4,5]}, index=["a","b"])df A Ba 3 4b 4 5 ```

# Solution

To turn the index of `df` into a column:

``` df = df.reset_index()df index A B0 a 3 41 b 4 5 ```

# Changing column label

By default, the label of the converted column is `"index"`. We can change this by using the `rename(~)` method like so:

``` df = df.reset_index().rename(columns={"index":"C"})df C A B0 a 3 41 b 4 5 ```

# Resetting index inplace

The original `df` is left intact here since `reset_index()` returns a new DataFrame. To directly modify `df`, we can set the parameter `inplace=True` like so:

``` df.reset_index(inplace=True)df index A B0 a 3 41 b 4 5 ```
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