Python Pandas - 对秒频率的 TimeDeltaIndex 执行向下取整操作

要对秒频率的 TimeDeltaIndex 执行向下取整操作，请使用 **TimeDeltaIndex.floor()** 方法。对于秒频率，请使用 **freq** 参数，其值为 **‘S’**。

首先，导入所需的库 -

import pandas as pd

创建一个 TimeDeltaIndex 对象。我们使用 'data' 参数设置了类似时间增量的数据 -

tdIndex = pd.TimedeltaIndex(data =['5 day 8h 20min 35us 45ns', '+17:42:19.999999',
'7 day 3h 08:16:02.000055', '+22:35:25.999999'])

显示 TimedeltaIndex -

print("TimedeltaIndex...\n", tdIndex)

对 TimeDeltaIndex 日期执行秒频率的向下取整操作。对于秒频率，我们使用了 'S' -

print("\nPerforming Floor operation with seconds frequency...\n",
tdIndex.floor(freq='S'))

示例

以下是代码 -

import pandas as pd

# Create a TimeDeltaIndex object
# We have set the timedelta-like data using the 'data' parameter
tdIndex = pd.TimedeltaIndex(data =['5 day 8h 20min 35us 45ns', '+17:42:19.999999',
'7 day 3h 08:16:02.000055', '+22:35:25.999999'])

# display TimedeltaIndex
print("TimedeltaIndex...\n", tdIndex)

# Return a dataframe of the components of TimeDeltas
print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components)

# Floor operation on TimeDeltaIndex date with seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming Floor operation with seconds frequency...\n",
tdIndex.floor(freq='S'))

输出

这将生成以下代码 -

TimedeltaIndex...
TimedeltaIndex(['5 days 08:20:00.000035045', '0 days 17:42:19.999999',
'7 days 11:16:02.000055', '0 days 22:35:25.999999'],
dtype='timedelta64[ns]', freq=None)

The Dataframe of the components of TimeDeltas...
  days hours minutes seconds milliseconds microseconds nanoseconds
0   5     8     20       0           0           35          45
1   0    17     42      19         999          999           0
2   7    11     16       2           0           55           0
3   0    22     35      25         999          999           0

Performing Floor operation with seconds frequency...
TimedeltaIndex(['5 days 08:20:00', '0 days 17:42:19', '7 days 11:16:02',
'0 days 22:35:25'],
dtype='timedelta64[ns]', freq=None)

更新于: 2021年10月20日

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