How to reset index in a Pandas DataFrame

How to reset index in a Pandas DataFrame

To reset the index in a Pandas DataFrame, you can use the .reset_index() method.

This method will convert the current index values in the DataFrame to row numbers, starting from 0.

Example

Here is an example:

import pandas as pd

# Create a sample Pandas DataFrame
df = pd.DataFrame({'fruit': ['apple', 'orange', 'apple', 'banana'],
                   'color': ['red', 'orange', 'green', 'yellow']})

# Use the reset_index() method to reset the index
df = df.reset_index()

# Print the DataFrame
print(df)

This will output the following DataFrame, with a new, default index that starts from 0:

   index   fruit   color
0      0   apple     red
1      1  orange  orange
2      2   apple   green
3      3  banana  yellow

In this example, df is the name of the DataFrame that you are working with.

You can replace it with the name of your DataFrame if it is different.