Python Pandas – 从DateTimeIndex中提取指定时间序列频率的分钟

要从特定时间序列频率的DateTimeIndex中提取分钟，请使用 DateTimeIndex.minute 属性。

首先，导入所需的库 –

import pandas as pd

创建一个周期为6、频率为T（即分钟）的DatetimeIndex。时区为Australia/Sydney –

datetimeindex = pd.date_range('2021-10-20 02:30:55', periods=6, tz='Australia/Sydney', freq='T')

显示DateTimeIndex –

print("DateTimeIndex...\n", datetimeindex)

获取分钟 –

print("\n获取分钟..\n",datetimeindex.minute)

示例

以下是代码 –

import pandas as pd

# DatetimeIndex with period 6 and frequency as T i.e. minute
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:55', periods=6, tz='Australia/Sydney', freq='T')

# 显示DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# 显示DateTimeIndex频率
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# 获取分钟
print("\n获取分钟..\n",datetimeindex.minute)

输出

这将生成以下代码 –

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:55+11:00', '2021-10-20 02:31:55+11:00',
'2021-10-20 02:32:55+11:00', '2021-10-20 02:33:55+11:00',
'2021-10-20 02:34:55+11:00', '2021-10-20 02:35:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='T')
DateTimeIndex frequency...
<Minute>

获取分钟..
Int64Index([30, 31, 32, 33, 34, 35], dtype='int64')