Reset index in pandas dataframe python

sure! in pandas, the `reset_index()` method is used to reset the index of a dataframe. when you reset the index, the current index is removed and a new default integer index is assigned to the dataframe.

here's a step-by-step tutorial on how to use `reset_index()` in pandas:

1. import the pandas library:

2. create a sample dataframe:

output:

3. reset the index using `reset_index()`:

output:

in the above example, the original dataframe `df` had custom index values 'x', 'y', and 'z'. after calling `reset_index()`, the custom index values are moved to a new column named 'index' and a new default integer index is assigned to the dataframe.

it's important to note that `reset_index()` does not modify the original dataframe in place. if you want to modify the original dataframe, you can use the `inplace=true` parameter:

i hope this tutorial helps you understand how to use `reset_index()` in pandas! let me know if you have any questions.

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