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We might as well expand it to the rest of holopy where it makes sense, for example timeseries data."},"comment":{"url":"https://api.github.com/repos/manoharan-lab/holopy/issues/comments/250968403","html_url":"https://github.com/manoharan-lab/holopy/issues/45#issuecomment-250968403","issue_url":"https://api.github.com/repos/manoharan-lab/holopy/issues/45","id":250968403,"user":{"login":"vnmanoharan","id":6162404,"avatar_url":"https://avatars.githubusercontent.com/u/6162404?v=3","gravatar_id":"","url":"https://api.github.com/users/vnmanoharan","html_url":"https://github.com/vnmanoharan","followers_url":"https://api.github.com/users/vnmanoharan/followers","following_url":"https://api.github.com/users/vnmanoharan/following{/other_user}","gists_url":"https://api.github.com/users/vnmanoharan/gists{/gist_id}","starred_url":"https://api.github.com/users/vnmanoharan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vnmanoharan/subscriptions","organizations_url":"https://api.github.com/users/vnmanoharan/orgs","repos_url":"https://api.github.com/users/vnmanoharan/repos","events_url":"https://api.github.com/users/vnmanoharan/events{/privacy}","received_events_url":"https://api.github.com/users/vnmanoharan/received_events","type":"User","site_admin":false},"created_at":"2016-10-02T12:15:10Z","updated_at":"2016-10-02T12:15:10Z","body":"We should look into using [xarray](http://xarray.pydata.org/en/stable/why-xarray.html). Unlike pandas, it supports multidimensional data sets.  It also [supports metadata](http://xarray.pydata.org/en/stable/data-structures.html#dataarray) in that you can assign a dictionary containing the metadata to a data set. Finally, it is based on pandas, so that we would not have to rewrite the Bayesian inference code.  We might think about using it to replace Marray."}}
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