Julien Le Sommer

automatic distribution with conda and PyPI

2

When a first minimal version is ready for dissemination, we should prepare an automatic procedure for distributing oocgcm through PyPI and conda.

for equation of state related quantities we need to test the compatibility of chunks and grid_location of xarray dataarrays before applying a function that works on numpy arrays. This can...

How to reimplement grid coarsening and statistics-in-boxes in oocgcm ?

7

The functionnality available in [GriddedData.py](https://github.com/lesommer/codes/blob/master/GriddedData.py) for coarsening a 2d field or reorganizing an array for building statistics out from values in a box would be a neat feature for oocgcm....

if yes : see this [list of xml parser](https://github.com/teoliphant/awesome-python#html-manipulation) and this [library](https://github.com/stchris/untangle)

What plotting facilities should be provided with oocgcm ?

2

We could think of a think wrapper for xarray.plot and iris. see [xarray plots](http://xarray.pydata.org/en/stable/plotting.html)