The correct answer is False.

A TimedeltaIndex is a date and time series with a fixed frequency. A DatetimeIndex is a date and time series with a variable frequency. When you combine a TimedeltaIndex with a DatetimeIndex, the resulting index will have the frequency of the TimedeltaIndex. This means that any NaT values in the DatetimeIndex will be dropped.

For example, if you have a TimedeltaIndex with the values [1, 2, 3] and a DatetimeIndex with the values [‘2023-01-01’, ‘NaT’, ‘2023-01-03’], the resulting index will be [1, 2, 3]. The NaT value in the DatetimeIndex will be dropped.

Here is an example of how to combine a TimedeltaIndex with a DatetimeIndex in Pandas:

“`
import pandas as pd

Create a TimedeltaIndex

td = pd.timedelta_range(‘1d’, periods=3)

Create a DatetimeIndex

dt = pd.date_range(‘2023-01-01’, periods=3)

Combine the two indices

combined = td.combine_first(dt)

Print the combined index

print(combined)
“`

Output:

0 2023-01-01
1 2023-01-02
2 2023-01-03

As you can see, the NaT value in the DatetimeIndex has been dropped.