在Pandas DataFrame上迭代以提取数据

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Tom', 'Nick', 'John'],
        'Age': [28, 32, 45],
        'City': ['New York', 'Paris', 'London']}
df = pd.DataFrame(data)

# 迭代DataFrame的行
for index, row in df.iterrows():
    print(f"Index: {index}")
    print(f"Name: {row['Name']}")
    print(f"Age: {row['Age']}")
    print(f"City: {row['City']}")
    print()

Index: 0
Name: Tom
Age: 28
City: New York

Index: 1
Name: Nick
Age: 32
City: Paris

Index: 2
Name: John
Age: 45
City: London

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Tom', 'Nick', 'John'],
        'Age': [28, 32, 45],
        'City': ['New York', 'Paris', 'London']}
df = pd.DataFrame(data)

# 迭代DataFrame的列
for column, series in df.iteritems():
    print(f"Column: {column}")
    print(f"Data: {series.values}")
    print()

Column: Name
Data: ['Tom' 'Nick' 'John']

Column: Age
Data: [28 32 45]

Column: City
Data: ['New York' 'Paris' 'London']