Python | Pandas TimedeltaIndex.days

The TimedeltaIndex.days attribute in Pandas allows you to get the number of days in a TimedeltaIndex object.

A TimedeltaIndex represents a series of differences or durations of time. It can be created using various pandas functions such as pd.to_timedelta() or by performing time-based operations on pandas DateTimeIndex objects.

Syntax

TimedeltaIndex.days

Parameters

The method doesn't accept any parameters.

Returns

It returns a NumPy array containing the number of days in the TimedeltaIndex.

Example

import pandas as pd

# Create a TimedeltaIndex
durations = [pd.Timedelta(days=1), pd.Timedelta(days=2), pd.Timedelta(days=3)]
tdi = pd.TimedeltaIndex(durations)

# Get the number of days in the TimedeltaIndex
days = tdi.days
print(days)

Output:

[1 2 3]

In the above example, we create a TimedeltaIndex object tdi with three durations: 1 day, 2 days, and 3 days. We then use the days attribute to get an array of the number of days in each duration.

The TimedeltaIndex.days attribute is useful when you need to work with durations in days and perform calculations or analysis based on the number of days.

Note: If the TimedeltaIndex contains elements with different lengths, the days attribute will return an array with the number of days for each element.

Remember to import the pandas library before using the TimedeltaIndex and the TimedeltaIndex.days attribute.

For more information, you can refer to the Pandas documentation.

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