ProFuel Vitamin D3 & K2 120 Tabl.

import pandas as pd

# Define the dictionary with the data
data = {
    'Nährwertangaben pro Tablette': {
        'Vitamin D3': '2000 IE (50 µg, 2000 % NRV*)',
        'Vitamin K2 (als Menachinon-7)': '100 µg (133 % NRV*)'
    },
    'Zutaten': 'Füllstoff (mikrokristalline Cellulose), Menachinon-7, Cholecalciferol, Trennmittel (Magnesiumsalze der Speisefettsäuren, Siliciumdioxid)',
    'Füllmenge': '120 Tabletten'
}

# Convert the dictionary to a DataFrame and transpose it
df = pd.DataFrame(data, index=[0]).T.reset_index()

# Display the first 5 rows
print(df.head().to_markdown(index=False, numalign="left", stralign="left"))

# Print the column names and their data types
print(df.info())

| index                        | 0                                                                                                                                        |
|:-----------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------|
| Nährwertangaben pro Tablette | nan                                                                                                                                      |
| Zutaten                      | Füllstoff (mikrokristalline Cellulose), Menachinon-7, Cholecalciferol, Trennmittel (Magnesiumsalze der Speisefettsäuren, Siliciumdioxid) |
| Füllmenge                    | 120 Tabletten                                                                                                                            |
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 2 columns):
 #   Column  Non-Null Count  Dtype 
---  ------  --------------  ----- 
 0   index   3 non-null      object
 1   0       2 non-null      object
dtypes: object(2)
memory usage: 176.0+ bytes
None