Python Pandas – 使用 TimeDeltaIndex 创建 Series 并设置所得 Series 的索引

使用 Pandas 中的 to_series() 方法从 TimeDeltaIndex 创建一个 Series。使用 index 参数设置所得 Series 的索引。

首先，导入所需的库如下：

import pandas as pd

创建一个 TimeDeltaIndex 对象。我们使用“data”参数设置了时间差数据，例如：

tdIndex = pd.TimedeltaIndex(data = ['10 day 5h 2 min 3us 10ns', '+22:39:19.999999',
'2 day 4h 03:08:02.000045', '+21:15:45.999999'])

显示 TimedeltaIndex，例如：

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

将 TimeDeltaIndex 转换为 Series 并使用“index”参数设置所得 Series 的索引，例如：

print("\nTimeDeltaIndex to series with new index...\n",
tdIndex.to_series(index=['Date1','Date2','Date3','Date4']))

实例

以下是实现代码：

import pandas as pd

# 创建一个 TimeDeltaIndex 对象，我们使用“data”参数设置了时间差数据
tdIndex = pd.TimedeltaIndex(data =['10 day 5h 2 min 3us 10ns', '+22:39:19.999999',
'2 day 4h 03:08:02.000045', '+21:15:45.999999'])

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

# 返回 TimeDeltas 组件的 DataFrame
print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components)

# 返回 TimeDeltaIndex 作为对象 ndarray 的 datetime.datetime 对象
print("\nReturn TimeDeltaIndex as object ndarray of datetime.datetime objects...\n",
tdIndex.to_pytimedelta())

# 将 TimeDeltaIndex 转换为 Series 并使用“index”参数设置所得 Series 的索引
print("\nTimeDeltaIndex to series with new index...\n",
tdIndex.to_series(index=['Date1','Date2','Date3','Date4']))

输出

执行代码后将会得到一下结果：

TimedeltaIndex...
TimedeltaIndex(['10 days 05:02:00.000003010', 
                 '0 days 22:39:19.999999',
                 '2 days 07:08:02.000045', 
                 '0 days 21:15:45.999999'],
dtype='timedelta64[ns]', freq=None)

The Dataframe of the components of TimeDeltas...
   days hours minutes seconds milliseconds microseconds nanoseconds
0  10    5      2       0         0            3            10
1   0   22     39      19        999         999          0
2   2    7      8       2         0           45          0
3   0   21     15      45        999         999          0

Return TimeDeltaIndex as object ndarray of datetime.datetime objects...
[datetime.timedelta(days=10, seconds=18120, microseconds=3)
datetime.timedelta(seconds=81559, microseconds=999999)
datetime.timedelta(days=2, seconds=25682, microseconds=45)
datetime.timedelta(seconds=76545, microseconds=999999)]

TimeDeltaIndex to series with new index...
Date1 10 days 05:02:00.000003010
Date2 0 days 22:39:19.999999
Date3 2 days 07:08:02.000045
Date4 0 days 21:15:45.999999
dtype: timedelta64[ns]