Python Pandas – 从TimeDeltaIndex创建Series

使用 to_series() 方法在Pandas中从TimeDeltaIndex创建Series。

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timedelta-like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'])

将TimeDeltaIndex转换为Series −

print("\nTimeDeltaIndex to series...\n", tdIndex.to_series())

示例

以下是代码 –

import pandas as pd

# 创建一个TimeDeltaIndex对象
# 我们使用“data”参数设置timedelta-like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的组件的数据框
print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components)

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

# 将TimeDeltaIndex转换为Series
print("\nTimeDeltaIndex to series...\n", tdIndex.to_series())

输出

这将产生以下代码 –

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)

时间戳组件数据框...
  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           

将TimeDeltaIndex作为对象ndarray返回datetime.datetime对象...
[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...
10 days 05:02:00.000003010 10 days 05:02:00.000003010
0 days 22:39:19.999999 0 days 22:39:19.999999
2 days 07:08:02.000045 2 days 07:08:02.000045
0 days 21:15:45.999999 0 days 21:15:45.999999
dtype: timedelta64[ns]