How to reset hierarchical index in Pandas?

To reset hierarchical index in Pandas, we can use reset_index() method.

Steps

• Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.

• Print the input DataFrame.

• Use groupby to get different levels of a hierarchical index and count it.

• Print multi-hierarchical index DataFrame.

• Reset the multi-hierarchical index DataFrame, using df.reset_index().

• Print the new updated DataFrame.

Example

 Live Demo

import pandas as pd

df = pd.DataFrame({"x": [5, 2, 1, 9], "y": [4, 1, 5, 10]})
print "Input DataFrame is:
", df

df1 = df.groupby(["x", "y"]).count()
print "Hierarchical Index of input DataFrame is:
", df1

df2 = df1.reset_index()
print "After resetting: 
", df2

Output

Input DataFrame is:
   x   y
0  5   4
1  2   1
2  1   5
3  9  10
Hierarchical Index of input DataFrame is:
Empty DataFrame
Columns: []
Index: [(1, 5), (2, 1), (5, 4), (9, 10)]
After resetting:
   x   y
0  1   5
1  2   1
2  5   4
3  9  10