# Visualize trajectories of over a million coordinates over 1000 time steps
**URL:** https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870
**Category:** ParaView Support
**Created:** [June 21, 2022, 5:54pm UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870 "2022-06-21T17:54:09Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@sb50nemo](https://discourse.paraview.org/u/sb50nemo)
#### Post date: [June 21, 2022, 5:54pm UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/1 "2022-06-21T17:54:09Z")
I have a numpy array with the 3-dimensional coordinate information for over a million particles for around 1000 time steps. Is it possible to use ParaView to visualize the transient motion of those particles in 3D?
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### Author:  [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [June 22, 2022, 10:06am UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/2 "2022-06-22T10:06:54Z")
Hi @sb50nemo ,
Yes, but it depends on the format of your data.
Best,
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### Author:  [@sb50nemo](https://discourse.paraview.org/u/sb50nemo)
#### Post date: [June 22, 2022, 10:34am UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/3 "2022-06-22T10:34:49Z")
Dear Mathieu (@mwestphal),
Many thanks for your reply. I am very happy to know that it is possible.
Currently, the format of our data is numpy (.npy). It is in tabular form: with the x,y, and z values for each particle for 1000 different time steps.
For eg. (t=1), (x1, y1, z1), (x2, y2, z2) … (xn, yn, zn)
:
:
(t=1000), (x1, y1, z1), (x2, y2, z2) … (xn, yn, zn)
Is this format accessible by ParaView or should it be transformed?
Since this is a numpy array, we can transform the data which could be used by ParaView.
Could you please share some examples with me for a similar problem or for multiparticle visualization on ParaView? It would be highly helpful.
Thank you.
–
Somnath
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### Author:  [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [June 22, 2022, 10:47am UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/4 "2022-06-22T10:47:56Z")
> [@sb50nemo](#):
>
> Is this format accessible by ParaView or should it be transformed?
Not directly, but you should be able to read it very easily with a python programmable source.
You could also transfrom it into .csv files.
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### Author:  [@sb50nemo](https://discourse.paraview.org/u/sb50nemo)
#### Post date: [June 22, 2022, 11:06am UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/5 "2022-06-22T11:06:48Z")
Yes, I can transform the npy into csv. Could the trajectories then be visualized by ParaView?
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### Author:  [@mwestphal](https://discourse.paraview.org/u/mwestphal)
#### Post date: [June 22, 2022, 11:56am UTC](https://discourse.paraview.org/t/visualize-trajectories-of-over-a-million-coordinates-over-1000-time-steps/9870/6 "2022-06-22T11:56:11Z")
Yes, create one .csv per timestep, with columns like this:
```auto
X Y Z field1 field2 fieldN
```
- Then open the `yourFile....csv` in paraview,
- add a `TableToPoints` filter and select the correct XYZ fields, press Apply
- Press play