Unable to remove Multiindex from dataframe after pivoting data in Python

Question

I am trying to do pivot of a two categorical Variable (status_type) in python pandas but it is resulting in multiindex dataframe. I would like this to be a normal dataframe but couldn't figure out how. Would appreciate any help.

import pandas as pd
import numpy as np

# data
test_df = pd.DataFrame({"id": np.arange(0, 8), 
                   "Window": np.random.rand(8), 
                   "status_type" : ["snap","perf","snap","perf","snap","perf","snap","perf"],
                   "status_level": [1, 2, 20, 35, 10, 5, 42, 9],
                  })

test_df

Pivot:

test_df.pivot(index=['id','Window'],columns='status_type',values='status_level')

Result in Multi index df:

I have tried below code to reset it into normal dataframe and remove status_type column but it didn't work.

(test_df
.pivot(index=['id','Window'], columns='status_type', values='status_level')
.reset_index()
.drop('status_type', axis = 1)
)

Answer 1

A possible solution:

(test_df.pivot(index=['id','Window'],columns='status_type',values='status_level')
 .rename_axis(None, axis=1).reset_index())

Output:

   id    Window  perf  snap
0   0  0.218674   NaN   1.0
1   1  0.744127   2.0   NaN
2   2  0.888882   NaN  20.0
3   3  0.399161  35.0   NaN
4   4  0.955325   NaN  10.0
5   5  0.938839   5.0   NaN
6   6  0.874510   NaN  42.0
7   7  0.964414   9.0   NaN

Answer 2

This will help you resolve using reset and iloc ,and previous solution is more efficient as we are doing within the pivot function thanks to Paul