Hello!

I created mosaic for each patch using `np.median(eop_s2.data['TRUE-COLOR-S2-L1C'], axis=0).squeeze()`

But since it is numpy array, I cannot add it as **data_timeless** to EOPatch. I wonder how I can do this.

Thank you in advance for your help.

Hello!

I created mosaic for each patch using `np.median(eop_s2.data['TRUE-COLOR-S2-L1C'], axis=0).squeeze()`

But since it is numpy array, I cannot add it as **data_timeless** to EOPatch. I wonder how I can do this.

Thank you in advance for your help.

This works for me:

```
eopatch.data_timeless['test'] = np.median(eopatch.data['BANDS'], axis=0).squeeze()
# eopatch.data['BANDS'].shape is (n_timestamps, height, width, n_bands), n_bands>1
# eopatch.data_timeless['test'].shape is (height, width, n_bands)
```

Please check that the dimension of your `data_timeless`

feature is 3. In case you only have single band in your data, then the `squeeze()`

you are using is removing that dimension, and you might have ended up with a numpy array with shape (height, width).

Otherwise, please provide more details (e.g. paste the error you get).

Best,

Matej

1 Like

I wanted to add that `squeeze()`

can act a bit too sharply sometimes. Usually you have a good idea which axis you want to squeeze, so I would suggest using `squeeze(axis=0)`

or some other axis, whenever you use it.

Dear @batic,

Thank you for your help - The main idea is to prepare the RGB mosaic out of the time series so there is not 1D feature, and your script worked very well

Kind regards,

Behzad