Is there a way to convert a xarray to numpy array?

[YosmelyBermudez]

Hi!I am generating a code to work seismic data and it happens that the segysak library only works with xarray and I need to pass it to numpy array. I have tried with commands like to_numpy or passing dask dataframe to bring it to numpy array and nothing! HELP!These were the lines of code I used, the xarray is seisnc_vol:
original_cube = np.array(seisnc_vol)
original_cube = np.ascontiguousarray(original_cube, 'float32')

print("Original cube dimension:", original_cube.shape)

[keewis]

what type does seisnc_vol have? If it's a DataArray object, the conversion should be as simple as accessing seisnc_vol.values or calling np.asarray(seisnc_vol) (since you already tried np.array(seisnc_vol) I'm guessing it's not). If it's a Dataset object, there are a few more steps involved.

Can you post the output of print(seisnc_vol)? That might make it easier to help you.

[YosmelyBermudez]

you're right! it is a DataArray object and I can work it with the value. thanks a lot!