Python Pandas - Create a Series from TimeDeltaIndex and set the name of the resulting Series

Use the to_series() method to create a series from TimeDeltaIndex in Pandas. The name parameter is used to set the name of the resulting series.

At first, import the required libraries −

import pandas as pd

Create a TimeDeltaIndex object. We have set the timedelta-like data using the 'data' parameter −

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'])

Display TimedeltaIndex −

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

Convert TimeDeltaIndex to Series and set the name of the resulting series. The name is set using the 'name' parameter −

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

Example

Following is the code −

import pandas as pd

# Create a TimeDeltaIndex object
# We have set the timedelta-like data using the 'data' parameter
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'])

# 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)
# Return TimeDeltaIndex as object ndarray
print("\nReturn TimeDeltaIndex as object ndarray of datetime.datetime objects...\n",
tdIndex.to_pytimedelta())

# Convert TimeDeltaIndex to Series and set the name of the resulting series
# The name is set using the 'name' parameter
print("\nTimeDeltaIndex to series...\n", tdIndex.to_series(name="DateTime Data"))

Output

This will produce the following code −

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]