如何使用python选择特定的CSV行

import csv

def select_rows_from_csv(csv_path, condition_func):
    selected_rows = []
    with open(csv_path, newline='') as csvfile:
        reader = csv.DictReader(csvfile)
        for row in reader:
            if condition_func(row):
                selected_rows.append(row)
    return selected_rows

# 示例条件函数：选择所有'age'大于30的行
def age_greater_than_30(row):
    return int(row['age']) > 30

selected_data = select_rows_from_csv('example.csv', age_greater_than_30)
print(selected_data)

import pandas as pd

# 读取CSV文件
df = pd.read_csv('example.csv')

# 使用条件表达式筛选行
selected_df = df[df['age'] > 30]

print(selected_df)

import csv

def select_rows(csv_path, condition_key, condition_value):
    with open(csv_path, newline='') as csvfile:
        reader = csv.DictReader(csvfile)
        selected_rows = [row for row in reader if row[condition_key] == condition_value]
    return selected_rows

# 示例：选择所有'age'等于30的行
selected_data = select_rows('example.csv', 'age', '30')
print(selected_data)