html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/939#issuecomment-300647473,https://api.github.com/repos/pydata/xarray/issues/939,300647473,MDEyOklzc3VlQ29tbWVudDMwMDY0NzQ3Mw==,12307589,2017-05-11T00:16:34Z,2017-05-11T00:16:34Z,CONTRIBUTOR,"It is considered poor software design to have 13 arguments in Java and other languages which do not have optional arguments. The same isn't necessarily true of Python, but I haven't seen much discussion or writing on this.

I'd much rather have pandas.read_csv the way it is right now than to have a ReadOptions object that would need to contain exactly the same documentation and be just as hard to understand as read_csv. That object would serve only to separate the documentation of the settings for read_csv from the docstring for read_csv. If you really want to cut down on arguments, open_dataset should be separated into multiple functions. I wouldn't necessarily encourage these, but some possibilities are:

- Have a function which takes in an undecoded dataset and returns a CF-decoded dataset, instead of a decode_cf kwarg
- Have a function which takes in an unmasked/unscaled dataset and returns a masked/scaled dataset, instead of mask_and_scale
- Have a function which takes in a dataset with undecoded times and returns a decoded dataset, instead of decode_times
- similarly for decode_coords, chunks, and drop_variables. Should chunks and drop_variables even exist as kwargs, given that the functions to do these to a dataset already exist?

All of that aside, the `DecoderOptions` object already exists if that's what you want - it's the `dict`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,169274464
https://github.com/pydata/xarray/issues/939#issuecomment-300640372,https://api.github.com/repos/pydata/xarray/issues/939,300640372,MDEyOklzc3VlQ29tbWVudDMwMDY0MDM3Mg==,12307589,2017-05-10T23:26:57Z,2017-05-10T23:26:57Z,CONTRIBUTOR,"I would disagree with the form `open_dataset(filename, decode_options=kwargs)` over `open_dataset(filename, **kwargs)`, because the former breaks normal Python style. It would make the documentation for the arguments somewhat awkward (""decode_options is a dictionary which can have any of the following keys [...]""). It also forces the user to use a dictionary instead of having the option to use a dictionary or the regular style of entering kwargs.

What do you mean when you say it's easier to do error checking on field names and values? The xarray implementation can still use fields instead of a dictionary, with the user saying `open_dataset(filename, **kwargs)` if they feel like it. I think I'm not understanding something here.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,169274464
https://github.com/pydata/xarray/issues/939#issuecomment-237664856,https://api.github.com/repos/pydata/xarray/issues/939,237664856,MDEyOklzc3VlQ29tbWVudDIzNzY2NDg1Ng==,12307589,2016-08-04T19:55:10Z,2016-08-04T19:55:10Z,CONTRIBUTOR,"We already have the dictionary. Users can make a decode_options dictionary, and then call what they want to with **decode_options.
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