Python | Pandas TimedeltaIndex.view()

Python | Pandas TimedeltaIndex.view()

The view() method in pandas' TimedeltaIndex is used to create a new view on the same data. This is especially useful in situations where you want to work with the same underlying data but treat it differently without actually creating a copy of the data.

The view() method can accept a dtype as an argument to change the data type view of the array.

Here's how to use the view() method with a TimedeltaIndex:

Example:

import pandas as pd # Create a TimedeltaIndex tdi = pd.TimedeltaIndex(['1 days', '2 days', '3 days']) # Create a view of the TimedeltaIndex viewed_tdi = tdi.view() print(viewed_tdi)

Output:

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

You can also change the dtype view:

import numpy as np # Viewing as int64 type int_view = tdi.view(np.int64) print(int_view)

Output:

[86400000000000 172800000000000 259200000000000]

The output integers represent the number of nanoseconds in each of the time deltas.

It's crucial to understand that the view() method does not return a new copy of the data. Changes to the viewed object will affect the original TimedeltaIndex and vice-versa, unless the operation involves a change in the data's shape, in which case the data is copied.

More Tags

postback matplotlib-3d plc nosql win32com datatemplate apollo-client php django-views uac

More Programming Guides

Other Guides

More Programming Examples