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How do I create a complete bar chart with numpy?

I have a very long list of c numpy.array

. I want to create a histogram for it. However, Numpy's built-in bar chart requires a predetermined number of bins. What is the best way to generate a complete histogram with one bin for each value?

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If you have an array of integers and the maximum value is not too large, you can use numpy.bincount:

hist = dict((key,val) for key, val in enumerate(numpy.bincount(data)) if val)


Edit: If you have floating point data or data spread over a huge range, you can convert it to integers by doing:

bins = numpy.unique(data)
bincounts = numpy.bincount(numpy.digitize(data, bins) - 1)
hist = dict(zip(bins, bincounts))
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The letter for each meaning sounds a little strange, but not

bins=a.max()-a.min()


give a similar result?

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