I want to change the tsv data file form. The value of a particular column as the column name

import pandas as pd
from io import StringIO


f = ""File name: test
Name: 4
Sample: 4 pieces
Name Location Location 2 Sample 1 2 3
Withdrawal 7 334 A a a 0.1
Younghee 7333 Ag 0.3
Go 9334 A a a 0.1
Stain 8330 Acca 0.2
Withdrawal 7 334 Bcc 0.2
Younghee 7 333 Bta 0.1
Go 9334 Back 0.3
Stain 8330 Bcc 0.1
Withdrawal 7334 Cct 0.2
Younghee 7333 Ct 0.1
Go 9334 Cac 0.3
"Stainless 8 330 Cat 0.1""


df = pd.read_csv(StringIO(f), skiprows=3, sep="\t")

print(df.to_markdown())

"""
|    | Name | Location | Location 2 | Sample | 1 | 2 | 3 |
|---:|:-------|-------:|--------:|:-------|:----|:----|----:|
|  0 | Withdrawal | 7 | 334 | A | a | a | 0.1 |
|  1 | Younghee | 7 | 333 | A | a | g | 0.3 |
|  2 | Go | 9 | 334 | A | a | a | 0.1 |
|  3 | Stain | 8 | 330 | A | c | a | 0.2 |
|  4 | Withdrawal | 7 | 334 | B | c | c | 0.2 |
|  5 | Younghee | 7 | 333 | B | t | a | 0.1 |
|  6 | Go | 9 | 334 | B | a | c | 0.3 |
|  7 | Stain | 8 | 330 | B | c | c | 0.1 |
|  8 | Withdrawal | 7 | 334 | C | c | t | 0.2 |
|  9 | Younghee | 7 | 333 | C | t | t | 0.1 |
| 10 | Go | 9 | 334 | C | a | c | 0.3 |
| 11 | Stain | 8 | 330 | C | a | t | 0.1 |
"""

df["1_2"] = df["1"] + df["2"]

print(df.to_markdown())
"""
|    | Name | Location | Location 2 | Sample | 1 | 2 | 3 | 1_2 |
|---:|:-------|-------:|--------:|:-------|:----|:----|----:|:------|
|  0 | Withdrawal | 7 | 334 | A | a | a | 0.1 | aa |
|  1 | Younghee | 7 | 333 | A | a | g | 0.3 | ag |
|  2 | Go | 9 | 334 | A | a | a | 0.1 | a |
|  3 | Stain | 8 | 330 | A | c | a | 0.2 | ca |
|  4 | Withdrawal | 7 | 334 | B | c | c | 0.2 | c | c |
|  5 | Younghee | 7 | 333 | B | t | a | 0.1 | ta |
|  6 | Go | 9 | 334 | B | a | c | 0.3 | ac |
|  7 | Stain | 8 | 330 | B | c | c | 0.1 | c |
|  8 | Withdrawal | 7 | 334 | C | c | t | 0.2 | ct |
|  9 | Younghee | 7 | 333 | C | t | t | 0.1 | t |
| 10 | Go | 9 | 334 | C | a | c | 0.3 | ac |
| 11 | Stain | 8 | 330 | C | a | t | 0.1 | at |
"""

df1 = df[["Name", "Location", "Location2", "Sample", "1_2"]); set_index (["Name", "Location2", "Sample"])

print(df1.to_markdown())
"""
|                       | 1_2   |
|:----------------------|:------|
| ('Withdrawal', 7,334, 'A') | aa |
| ('Younghee', 7, 333, 'A') | ag |
| ('Go', 9, 334, 'A') | aa |
| ('Spark', 8, 330, 'A') | ca |
| ('Withdrawal', 7,334, 'B') | cc |
| ('Younghee', 7, 333, 'B') | ta |
| ('Go', 9, 334, 'B') | ac |
| ('Spark', 8, 330, 'B') | cc |
| ('Withdrawal', 7, 334, 'C') | ct |
| ('Younghee', 7, 333, 'C') | tt |
| ('Go', 9, 334, 'C') | ac |
| ('Spark', 8, 330, 'C') | at |
"""
df2 = df1.unstack ("sample").droplevel(0, axis=1)

print(df2.to_markdown())
"""
|                  |                  | A   | B   | C   |
|:-----------------|:----|:----|:----|
| ('Go', 9, 334) | aa | ac |
| ('Spark', 8, 330) | ca | cc | at |
| ('Younghee', 7, 333) | ag | ta | tt |
| ('Withdrawal', 7, 334) | aa | cc | ct |
"""

df2 = df2.reset_index()

print(df2.to_markdown())
"""
|    | Name | Location | Location 2 | A | B | C |
|---:|:-------|-------:|--------:|:----|:----|:----|
|  0 | Go | 9 | 334 | aa | ac |
|  1 | Stain | 8 | 330 | Ca | cc | at |
|  2 | Younghee | 7 | 333 | ag | ta | tt |
|  3 | Withdrawal | 7 | 334 | aa | cc | ct |
"""


df2.to_csv("result.csv", sep="\t", index=None)
"""
Name Location Location 2 AB C
Go 9334 aa ac
Stain 8330
YOUNG HEE 7333 agate
Withdrawal 7334 aacct
"""