# Time and spanwise averaged field

**URL:** https://discourse.paraview.org/t/time-and-spanwise-averaged-field/17004
**Category:** ParaView Support
**Created:** [July 24, 2025, 11:23am UTC](https://discourse.paraview.org/t/time-and-spanwise-averaged-field/17004 "2025-07-24T11:23:14Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![akshay0809](https://discourse.paraview.org/letter_avatar_proxy/v4/letter/a/43a26b/32.png) [@akshay0809](https://discourse.paraview.org/u/akshay0809)
#### Post date: [July 24, 2025, 11:23am UTC](https://discourse.paraview.org/t/time-and-spanwise-averaged-field/17004/1 "2025-07-24T11:23:14Z")

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Hi all,

I’m working with unsteady flow data stored as time series for several spanwise slices (e.g., “s0001”, “s0002”, etc.), each located at a different z-position. My goal is to compute a single 2D field that is both time-averaged and spanwise-averaged — essentially ⟨w⟩(x, y), averaged over time and span.

I’ve computed the temporal average for each slice using “Temporal Statistics” and saved the outputs. Then I load these averaged slices and tried combining them using “Append Attributes”, followed by a “Python Calculator” to average the “w\_average” fields spatially. However, the final result seems incorrect.

Do I need to apply “Transform” filter to align all slices to the same z-plane before appending? Is “Append Attributes” the right filter here, or should I be using “Append Datasets” or something else when the data is spatially separated?

Any advice on best practices for this type of averaging would be much appreciated!

Thanks