使用python将DataFrame格式化为列和行

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35],
        'City': ['New York', 'London', 'Paris']}
df = pd.DataFrame(data)

columns = df.columns
values = df.values

formatted_columns = ', '.join(columns)
formatted_values = '\n'.join([', '.join(map(str, row)) for row in values])

print(formatted_columns)
print(formatted_values)

Name, Age, City
Alice, 25, New York
Bob, 30, London
Charlie, 35, Paris

formatted_rows = ''
for index, row in df.iterrows():
    formatted_rows += f'Index: {index}\n'
    formatted_rows += ', '.join([f'{column}: {value}' for column, value in row.items()])
    formatted_rows += '\n\n'

print(formatted_rows)

Index: 0
Name: Alice, Age: 25, City: New York

Index: 1
Name: Bob, Age: 30, City: London

Index: 2
Name: Charlie, Age: 35, City: Paris