使用pandas数据帧转换日期时间格式的问题

import pandas as pd

# 示例数据
data = {'date_str': ['2022-01-01', '2022-01-02', '2022-01-03']}
df = pd.DataFrame(data)

# 转换日期时间格式
df['date'] = pd.to_datetime(df['date_str'])

print(df)

       date_str                date
0  2022-01-01 2022-01-01 00:00:00
1  2022-01-02 2022-01-02 00:00:00
2  2022-01-03 2022-01-03 00:00:00

import pandas as pd

# 示例数据
data = {'date': ['2022-01-01', '2022-01-02', '2022-01-03']}
df = pd.DataFrame(data)

# 转换为特定字符串格式
df['date_str'] = pd.to_datetime(df['date']).dt.strftime('%Y-%m-%d')

print(df)

        date   date_str
0  2022-01-01  2022-01-01
1  2022-01-02  2022-01-02
2  2022-01-03  2022-01-03

import pandas as pd
import numpy as np

# 示例数据
data = {'date': ['2022-01-01', np.nan, '2022-01-03']}
df = pd.DataFrame(data)

# 转换为日期时间格式
df['date'] = pd.to_datetime(df['date'], errors='coerce')

# 处理缺失值
df['date'].fillna(pd.Timestamp('1970-01-01'), inplace=True)

print(df)

        date
0 2022-01-01
1 1970-01-01
2 2022-01-03