重命名该列的条目，然后在pandas中按groupby命名

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 使用rename()函数重命名列
df = df.rename(columns={'Name': 'Full Name', 'Age': 'Age Group', 'City': 'Location'})

# 打印重命名后的DataFrame
print(df)

  Full Name  Age Group  Location
0       Tom         20  New York
1      Nick         21     Paris
2      John         19    London
3       Tom         20     Tokyo

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 使用groupby()函数按照Name列进行分组
grouped = df.groupby('Name')

# 打印每个分组的统计信息
for name, group in grouped:
    print("Group:", name)
    print(group)
    print()

Group: John
   Name  Age    City
2  John   19  London

Group: Nick
   Name  Age   City
1  Nick   21  Paris

Group: Tom
  Name  Age    City
0  Tom   20  New York
3  Tom   20   Tokyo