python pandas: removing name and dtype in iterrows

i’m currently working on an inventory systsem.
How do i remove "Name:,dtype:" in the iterows?
Or is there other way that I can show the row’s info ?
Thanks

1 Name                  cat
Unit Price          $2.00
Quantity                2
Price               $4.00
Expiry Date    0002-02-02
Expired?               No
Name: 1, dtype: object
2 Name                    2
Unit Price          $2.00
Quantity                2
Price               $4.00
Expiry Date    2003-02-02
Expired?               No
Name: 2, dtype: object
3 Name                  dog
Unit Price          $2.00
Quantity                2
Price               $4.00
Expiry Date    0002-02-02
Expired?               No
Name: 3, dtype: object
4 Name                mouse
Unit Price          $3.00
Quantity                3
Price               $9.00
Expiry Date    0003-03-03
Expired?               No
Name: 4, dtype: object
5 Name                    3
Unit Price          $3.00
Quantity                3
Price               $9.00
Expiry Date    0003-03-03
Expired?               No
Name: 5, dtype: object```

>Solution :

You should use the Series.to_string method before printing:

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(0,10,(3,4)))

for name,s in df.iterrows():
    print(f'row: {name}')
    print(s.to_string())  # to_string outputs only the data, not the metadata

example:

row: 0
0    9
1    0
2    9
3    5
row: 1
0    1
1    2
2    5
3    6
row: 2
0    0
1    1
2    5
3    5