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plotting - How can I plot histogram with the same number of values in every bin?



For example I have 100 values sample. I'd like to build histogram in which every bin contains, for example, 10 values. How can i do that? Thanks.



Answer



You can use the values of the quantiles of your sample as bin delimiters for your histogram. You can think of $n$-quantiles as those threshold values that divide your data set into $n$ equal-sized subsets.


Let's generate some sample data and set your requirements, i.e. number of points per bin:


SeedRandom[10]
sample = RandomVariate[NormalDistribution[], 200];
datapointsperbin = 10;
numberofbins = IntegerPart[Length[sample]/datapointsperbin];

This is what a regular histogram with evenly spaced bins would look like for that sample:



Histogram[sample]

Even binned histogram


Now we use Quantile to calculate numberofbins quantiles for your distribution, then we use those values as bin delimiters for your histogram.


Histogram[
sample,
{Table[Quantile[sample, i/numberofbins], {i, 1, numberofbins - 1}]}
]

unevenly binned histogram



You can see from the vertical axis of the histogram that each bin contains 10 samples, as specified by the value of datapointperbin.




Having done this, however, I still wonder why you need such a histogram. Of course, if what you needed was to calculate the intervals that would accomplish such binning, given your sample, the magic is all in the Quantile function, so you can get those values directly as well:


Table[Quantile[sample, i/numberofbins], {i, 1, numberofbins - 1}]


{-1.8614, -1.42414, -1.21859, -0.971859, -0.905122, -0.707023, -0.470983, -0.274088, -0.163548, 0.0100698, 0.122639, 0.271601, 0.383704, 0.475579, 0.608299, 0.873699, 1.03975, 1.33463, 1.81741}



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