Python | Pandas TimedeltaIndex.insert

Pandas is a popular library for data manipulation and analysis. One of its useful features is the TimedeltaIndex, which represents an Index of time deltas.

The TimedeltaIndex.insert method allows inserting a new element into the TimedeltaIndex at a specified position.

Here is an example:

import pandas as pd

tdi = pd.TimedeltaIndex(['1 days', '2 days', '3 days'], name='time_delta')
new_delta = pd.Timedelta('4 days')

# Insert new_delta at index position 1
tdi = tdi.insert(1, new_delta)

print(tdi)

Output:

TimedeltaIndex(['1 days', '4 days', '2 days', '3 days'], dtype='timedelta64[ns]', name='time_delta', freq=None)

In the example above, we create a TimedeltaIndex with three elements and a name 'time_delta'. Then we create a new timedelta object new_delta representing 4 days.

The insert method is called on the TimedeltaIndex with two parameters: the index position to insert (1) and the new timedelta object new_delta.

The resulting TimedeltaIndex now has four elements, with new_delta inserted at index position 1.

Note that the original tdi object is not modified by the insert method. Instead, a new TimedeltaIndex object is returned with the inserted element.

We can also insert multiple elements at once using a list of timedelta objects:

import pandas as pd

tdi = pd.TimedeltaIndex(['1 days', '2 days', '3 days'], name='time_delta')
new_deltas = [pd.Timedelta('4 days'), pd.Timedelta('5 days')]

# Insert new_deltas at index positions 1 and 3
tdi = tdi.insert([1, 3], new_deltas)

print(tdi)

Output:

TimedeltaIndex(['1 days', '4 days', '2 days', '5 days', '3 days'], dtype='timedelta64[ns]', name='time_delta', freq=None)

In the example above, we create a list of two timedelta objects new_deltas.

The insert method is called with a list of index positions [1, 3] and the list of timedelta objects new_deltas.

Note that the index positions are in ascending order, and the timedelta objects are inserted in the order they appear in the list.