Python Pandas – 从TimeDeltaIndex创建Series并设置生成Series的名称

使用 to_series() 方法在Pandas中从TimeDeltaIndex创建Series。使用 name 参数设置生成系列的名称。

首先，导入必需的库步骤 −

import pandas as pd

创建TimeDeltaIndex对象。我们使用’data’参数设置类似于时间差的数据−

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)

将TimeDeltaIndex转换为Series并设置生成Series的名称。使用“name”参数设置名称−

print("\nTimeDeltaIndex to series...\n", tdIndex.to_series(name="DateTime Data"))

例子

代码如下 −

import pandas as pd

# 创建TimeDeltaIndex对象
# 我们使用'data'参数设置类似于时间差的数据
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)
# 返回TimeDeltaIndex为对象ndarray
print("\nReturn TimeDeltaIndex as object ndarray of datetime.datetime objects...\n",
tdIndex.to_pytimedelta())

#将TimeDeltaIndex转换为Series并设置生成Series的名称
#使用“name”参数设置名称
print("\nTimeDeltaIndex to series...\n", tdIndex.to_series(name="DateTime Data"))

输出

这将产生以下输出 −

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...
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
Name: DateTime Data, dtype: timedelta64[ns]