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  • lanougue · 2 ✖

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  • [Feature Request] iteration equivalent numpy's nditer or ndenumerate · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1255029201 https://github.com/pydata/xarray/issues/2805#issuecomment-1255029201 https://api.github.com/repos/pydata/xarray/issues/2805 IC_kwDOAMm_X85KzjnR lanougue 32069530 2022-09-22T13:30:26Z 2022-09-22T16:12:47Z NONE

Hello guys,

While waiting for a integrated solution. Here is a function that should do the job in a safe way. It returns an iterator

```` def xndindex(ds, dims=None): if dims is None: dims = ds.dims elif type(dims) is str: dims=[dims] else: pass

for d in dims:
    if d not in ds.dims:
        raise ValueError("Invalid dimension '{}'. Available dimensions {}".format(d, ds.dims))

iter_dict = {k:v for k,v in ds.sizes.items() if k in dims}
for d,k in zip(repeat(tuple(iter_dict.keys())),zip(np.ndindex(tuple(iter_dict.values())))):
    yield {k:l for k,l in zip(d,k[0])}

Example of use a = xr.DataArray(np.random.rand(4,3), dims=['x','y'], coords={'x':np.arange(4), 'y':np.arange(3)}) for i in xndindex(a): print(a[i]) ````

 
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   [Feature Request] iteration equivalent numpy's nditer or ndenumerate 419543087
1239645797 https://github.com/pydata/xarray/issues/2805#issuecomment-1239645797 https://api.github.com/repos/pydata/xarray/issues/2805 IC_kwDOAMm_X85J435l lanougue 32069530 2022-09-07T16:53:34Z 2022-09-07T17:00:44Z NONE

Hi guys,

For now, when I want to iterate over all my dataset I use the simple (but dangerous I believe) workaround: for i in np.ndindex(ds.shape): res = ds[{d:j for d,j in zip(ds.dims,i)}] but, I am not sure that ndindex will iterate in the good order relatively to the ds.dims return.

Is there any news on this topic ?

Many thanks !

 
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   [Feature Request] iteration equivalent numpy's nditer or ndenumerate 419543087

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