如何在KeyError循环中处理熊猫for？

import pandas as pd

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

try:
    for index, row in df.iterrows():
        print(row['Gender'])  # 假设'Gender'列不存在
except KeyError:
    print("Column 'Gender' does not exist.")

import pandas as pd

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

for index, row in df.iterrows():
    gender = row.get('Gender', 'Unknown')  # 假设'Gender'列不存在，默认返回'Unknown'
    print(gender)

import pandas as pd

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

column_name = 'Gender'
if column_name in df.columns:
    for index, row in df.iterrows():
        print(row[column_name])
else:
    print(f"Column '{column_name}' does not exist.")