Pandas数据帧: df.apply忽略错误行

import pandas as pd

def safe_process(row):
    try:
        # 这里是你的处理逻辑
        return row['column_name'] * 2
    except Exception as e:
        print(f"Error processing row {row.name}: {e}")
        return None  # 或者返回一个默认值

df['new_column'] = df.apply(safe_process, axis=1)

def process_column(column):
    try:
        return column * 2
    except Exception as e:
        print(f"Error processing column: {e}")
        return pd.Series([None] * len(column))

df['new_column'] = df['column_name'].apply(process_column).dropna()

def safe_process(element):
    try:
        return element * 2
    except Exception as e:
        print(f"Error processing element {element}: {e}")
        return None

df = df.applymap(safe_process)