to_datetime：“未转换的数据仍然存在”错误

import pandas as pd

# 示例数据
data = ['2021-01-01', '2021-01-02', 'not a date', '2021-01-04']

# 尝试转换
try:
    pd.to_datetime(data)
except ValueError as e:
    print(e)

import pandas as pd

# 示例数据
data = ['2021-01-01', '2021-01-02', 'not a date', '2021-01-04']

# 清理数据：移除无法解析的值
cleaned_data = [d for d in data if pd.to_datetime(d, errors='coerce') is not pd.NaT]

# 转换
try:
    datetime_data = pd.to_datetime(cleaned_data)
    print(datetime_data)
except ValueError as e:
    print(e)

import pandas as pd

# 示例数据
data = ['2021-01-01', '2021-01-02', 'not a date', '2021-01-04']

# 使用 errors='coerce'
datetime_data = pd.to_datetime(data, errors='coerce')
print(datetime_data)

import pandas as pd

# 示例数据
data = ['2021-01-01', '2021-01-02', 'not a date', '2021-01-04']

def custom_parser(date_str):
    try:
        return pd.to_datetime(date_str)
    except ValueError:
        return pd.NaT

# 应用自定义解析函数
datetime_data = data.apply(custom_parser)
print(datetime_data)