issue_comments: 250486102

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https://github.com/pydata/xarray/issues/1019#issuecomment-250486102 https://api.github.com/repos/pydata/xarray/issues/1019 250486102 MDEyOklzc3VlQ29tbWVudDI1MDQ4NjEwMg== 17701232 2016-09-29T14:40:43Z 2016-09-29T14:40:43Z NONE

So if I plot the current output as a bar chart/histogram, that bin interval will be skipped. For example if I did: plt.plot(binns[0:-2], binned) #using left edges of the bins I would get an error if a bin present in binns has been skipped in binned.

I guess that perhaps there is a cleverer way of plotting the output data than this.

This leads to more important questions: 1. Do you know the logic to the ordering of the binned data and the bin objects? In this example, the bins input is monotonically increasing, but the bin object does not correspond. e.g.

binns = [-100, -50, 0, 50, 50.00001, 100] array(['(0, 50]', '(-50, 0]', '(51, 100]', '(-100, -50]'], dtype=object) 1. Does the order of output values in the summed array (binned) correspond to the input bins or the output bin object? If the latter, how do I reorder the data more in line with the monotonically increasing input bins array?

Thanks

 
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