how to reset index and drop the index column in python

To reset the index and drop the index column in Python using pandas library, you can use the reset_index() function followed by the drop() function.

Here's an example:

main.py
import pandas as pd

# Create a sample DataFrame
data = {'index_column': ['A', 'B', 'C'],
        'value_column': [1, 2, 3]}
df = pd.DataFrame(data)

# Reset the index and drop the index column
df = df.reset_index().drop('index', axis=1)

# Print the updated DataFrame
print(df)
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This will reset the index and drop the original index column, resulting in the DataFrame with a new default integer index.

Output:

main.py
  index_column  value_column
0            A             1
1            B             2
2            C             3
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Note that reset_index() adds a new column named 'index' containing the original index values. By using drop('index', axis=1), we drop this column.

Tags: pandas, data frame