BinCounts
BinCounts[data]
counts the number of elements of data whose values lie in successive integer bins.
BinCounts[data,binspec]
counts the number of elements of data whose values lie in successive bins specified by binspec.
Details
- BinCounts drops elements whose values do not correspond to real numbers.
- The following bin-width specifications binspec can be given:
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dx bins of width dx » {xmin,xmax,dx} bins of width dx from xmin to xmax » {{b1,b2,…}} the intervals [b1,b2), [b2,b3), … » xbins,ybins,… bin specifications for multivariate data understood as {{x1,y1,…},{x2,y2, …},…} » - BinCounts[data,dx] takes the bin boundaries to be integer multiples of dx, with the first bin starting at Ceiling[Min[data]-dx,dx] and the last bin ending at Floor[Max[data]+dx,dx].
- BinCounts[data] is equivalent to BinCounts[data,1].
- In BinCounts[data,{xmin,xmax,dx}], elements are counted in bin i when their values satisfy .
- BinCounts[data,{xmin,xmax}] is equivalent to BinCounts[data,{xmin,xmax,1}].
- In BinCounts[data,{{b1,b2,…}}], elements are counted in bin i when their values satisfy .
- In the form BinCounts[data,{{b1,b2,…}}], the bi at each end can be -Infinity and +Infinity.
- If the bi do not form an increasing sequence, they are automatically sorted by BinCounts.
- If data consists of length-n sublists, then n bin specifications must be given, and BinCounts[data,…] yields an array of depth n.
- The data can have the following forms and interpretations:
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{x1,x2,…} list of real numbers or quantities » {{x1,y1,…},{x2,y2,…},…} list of vectors of the same dimension » SparseArray an array equivalent to Normal[data] » QuantityArray array of column-compatible quantities » TimeSeries, TemporalData,… vector or array of values (the time stamps ignored) »
Examples
open allclose allBasic Examples (3)
Scope (11)
Basic Uses (8)
Count squares mod 3 and 5 in two-dimensional unit bins:
Count random pairs in bins of width 0.25 in both dimensions:
Count multidimensional data in ranges:
Count binned data, ignoring values that are not real:
Count binned data of any precision:
SparseArray data can be used just like dense arrays:
Data with Quantities (3)
Bins of fixed width, minimum and maximum:
The units are compatible for each dimension:
Specify bin width for each dimension:
QuantityArray can be used just like arrays:
Properties & Relations (1)
Possible Issues (4)
Binning intervals are closed on the left:
For data involving quantities, the bin specification must be given in compatible units:
Matrix data must have unit-compatible columns:
The bins obtained using the specification {min,max,dx} may not include all data points:
Specify the min and max so all data points are included in the bin covering:
Text
Wolfram Research (2007), BinCounts, Wolfram Language function, https://reference.wolfram.com/language/ref/BinCounts.html (updated 2024).
CMS
Wolfram Language. 2007. "BinCounts." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2024. https://reference.wolfram.com/language/ref/BinCounts.html.
APA
Wolfram Language. (2007). BinCounts. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/BinCounts.html