histogram

I have below array in Javascript which I need to bin into 20 buckets. The data values are between 0 and 1, so the bin size would be .05. I feel like there should be a function out there that takes two arguments, an array and a bin size, but I cannot find one. I know that D3.js has some feature that help building such an array, but I cannot figure out which function might help. var arr = [ "0.362743", "0.357969", "0.356322", "0.355757", "0.358511", "0.357218", "0.356696", "0.354579", "0.828295", "0.391186", "0.378577", "0.39372", "0.396416", "0.395641", "0.37573", "0.379666", "0.377443", "0

I'm building an application that uses the CIAreaHistogram Core Image filter. I use an inputCount value (number of buckets) of 10 for testing, and an inputScale value of 1. I get the CIImage for the histogram itself, which I then run through a custom kernel (see end of post) to set alpha values to 1 (since otherwise the alpha value from the histogram calculations is premultiplied) and then convert it to an NSBitmapImageRep . I then scan through the image rep's buffer and print the RGB values (skipping the alpha values). However, when I do this, the sum of the R, G, and B values across the 10 do

Since hist() of the base R does not report percentages (and the freq=FALSE) does not help either, I turned to lattice . histogram(rnorm(10000)) Please help me with the following: How can I get rid of the box arround the plot? How can I seperately define the cex of the x/y labels and x/y axis? How can I provide custom names to x and y axis? This should get you started: library(lattice) histogram(rnorm(10000), main=list( label="Main plot title", cex=1.5), xlab=list( label="Custom x-axis label", cex=0.75), ylab=list( label="My very own y-axis label", cex=1.2), scales=list(cex=0.5), par.settings =

I have generated some data in Python using matplotlib.hist2d. An example of the data is seen below. As you can see this data has some contours in it found by tracing the same color throughout the plot. I see a gamma distribution centered around 0.015. I would like to take this data and gather these contours so I can see a line trace through each color level. I tried playing around with the contour function as here counts, xedges, yedges, Image = hist2d(x, y, bins=bins, norm=LogNorm(), range=[[0, 1], [0, 400]]) contour(counts) but that didn't seem to produce anything. Does anyone know the best

Scenario : I am trying to track two different colored objects. At the beginning, user is prompted to hold the first colored object (say, may be a RED) at a particular position in front of camera (marked on screen by a rectangle) and press any key, then my program takes that portion of frame (ROI) and analyze the color in it, to find what color to track. Similarly for second object also. Then as usual, use cv.inRange function in HSV color plane and track the object. What is done : I took the ROI of object to be tracked, converted it to HSV and checked the Hue histogram. I got two cases as below