将数据集解析为日期格式时出现问题

import pandas as pd

# 示例数据集
data = {'date_str': ['2023-10-05', '10/05/2023', '05-10-2023']}
df = pd.DataFrame(data)

# 尝试解析日期
df['date_obj'] = pd.to_datetime(df['date_str'], format='mixed', errors='coerce')

print(df)

import pandas as pd

# 示例数据集
data = {'date_str': ['2023-10-05T12:00:00+08:00', '2023-10-05T12:00:00-05:00']}
df = pd.DataFrame(data)

# 解析日期并处理时区
df['date_obj'] = pd.to_datetime(df['date_str'], utc=True)

print(df)

import pandas as pd

# 示例数据集
data = {'date_str': ['2023-10-05', '2023-13-05', '2023-10-32']}
df = pd.DataFrame(data)

# 尝试解析日期，并将无效日期设置为 NaT
df['date_obj'] = pd.to_datetime(df['date_str'], errors='coerce')

print(df)