无法对使用"pd.drop“时出现的常见错误进行排序

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
try:
    df.drop(index=3, inplace=True)  # 索引3超出范围
except IndexError as e:
    print(f"Error: {e}")
    # 解决方法：检查索引范围
    valid_indices = df.index.tolist()
    print(f"Valid indices: {valid_indices}")

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
try:
    df.drop(columns='C', inplace=True)  # 列'C'不存在
except KeyError as e:
    print(f"Error: {e}")
    # 解决方法：检查列名
    existing_columns = df.columns.tolist()
    print(f"Existing columns: {existing_columns}")

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
try:
    df.drop(index=0, inplacee=True)  # 参数拼写错误
except TypeError as e:
    print(f"Error: {e}")
    # 解决方法：确保参数拼写正确
    df.drop(index=0, inplace=True)

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
try:
    df.drop(columns=['C'], inplace=True)  # 列'C'不存在
except ValueError as e:
    print(f"Error: {e}")
    # 解决方法：确认列名
    existing_columns = df.columns.tolist()
    print(f"Existing columns: {existing_columns}")