How get a mean value without nan values?

I have 1345*649*90 double type chlorophyll-a dataset. I got mean value using the nanmean. But after plotting the data, the some white patches are on the colormap. I want to solve this issue. This is the code which I used get the mean.

SWM_mean=squeeze(nanmean(SWM,3));

[Dyuman Joshi]

Although, nanmean is not recommended, it is expected to give the correct results -

%Example
SWM = [1.77 -0.005 NaN -2.95; ...
        NaN  0.34  NaN  0.19];
nanmean(SWM)

ans = 1×4

1.7700 0.1675 NaN -1.3800

mean(SWM,'omitnan') % built-in alternative

ans = 1×4

1.7700 0.1675 NaN -1.3800

The issue might be something else. It might be the case that all the data along that particular dimension is NaN.

In any case, more information is required to give a suggestion/solution. Please attach your code and data (use the paperclip button to do so).

[Star Strider]

If you have R2023a, another option is to use:

SWM_Mmean = fillmissing2(mean(SWM,3), 'linear');

The fillmissing2 function was introduced in R2023a.

.

[Sakuni Samarakoon]

I have Matlab version R2020a. Thank you for your response and this will be important my future works.