histogram

问题 It's pretty easy to build a nice huge scatterplot matrix with histograms down the diagonal for multivariate data as follows: scatterplotMatrix(somedata[1:points.count,],groups=somedata[1:points.count,class], by.groups=TRUE,diagonal="histogram") According to the documentation though, it doesn't seem possible to divide up the histogram by the group labels as is done in this question. How would you do that using scatterplotMatrix or a similar function? 回答1: Is this what you had in mind? Using

问题 It's pretty easy to build a nice huge scatterplot matrix with histograms down the diagonal for multivariate data as follows: scatterplotMatrix(somedata[1:points.count,],groups=somedata[1:points.count,class], by.groups=TRUE,diagonal="histogram") According to the documentation though, it doesn't seem possible to divide up the histogram by the group labels as is done in this question. How would you do that using scatterplotMatrix or a similar function? 回答1: Is this what you had in mind? Using

问题 How can I create a 3D histogram with R? For example, I have two variables to be counted for the number of times they fall in a defined two dimensional bin. So I have two variables in the X and Y axis, while the Z axis is the count of the two variables. 回答1: have a look at package hexbin to calculate and display, or e.g. ggplot's stat_bin2d / stat_binhex for display. You get 2 spatial coordinates which is all your screen or paper can do plus a 3rd, colour-coded dimension. Note that How does

问题 I have an array of BitmapFrames and need to do a histogram stretch. I know this is different from a histogram equalization, and what the final outcome is... sorta. the problem is I have absolutely no idea what to do after I get the histogram. So far my code creates an array for the histogram so I know how many pixels of each value i have. But after that I don't know what to do. this is the code I have so far... right now it makes the histogram and then histogram equalizes... which is NOT what

问题 I'm using the depth buffer of the current context to influence a texture I am displaying. The texture is 1 dimensional and in grayscale. From left to right represents from near to far. The more pixels are at a certain depth the brighter the texture is at that point with black being no pixels are at that depth and white being all pixels are at that depth. Now I have a solution that does glReadPixels() on the depth-buffer, analyzes it on the CPU and then writes it back to the texture. Naturally

问题 I'm using the depth buffer of the current context to influence a texture I am displaying. The texture is 1 dimensional and in grayscale. From left to right represents from near to far. The more pixels are at a certain depth the brighter the texture is at that point with black being no pixels are at that depth and white being all pixels are at that depth. Now I have a solution that does glReadPixels() on the depth-buffer, analyzes it on the CPU and then writes it back to the texture. Naturally

问题 Thanks in advance for the help. I have two sets of parallel vectors: x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 55]; x_count = [7721, 6475, 3890, 2138, 1152, 784, 674, 492, 424, 365, 309, 302, 232, 250, 220, 208, 190, 162, 144, 134, 97, 93, 89, 97, 92, 85, 77, 87, 64, 75, 72, 82, 61, 48, 46, 44, 35, 20, 28, 20, 21, 10, 6, 8, 4, 4, 4, 3, 1, 1]; y

问题 I am using Google Chart API to create a histogram and want to modify bars to fuse with the ones next to them and change the xticks to integers. Question: How can I do the following: Fuse the bars with the one next to them? Make the h/x-ticks appear as int s? Current Output: Ideal Output: Relevant Research: I couldn't find all that much, apart from these two which helped with some of my problems but not the two above: How does one go about creating an Histogram using the google chart api?

问题 I am trying to have ggplot2 show one line of a histogram as a different color than the rest. In this I have been successful; however, ggplot is using the default colors when a different set are specified. I am sure there is an error in my code, but I am unable to determine where it is. The data and code are below: create data library(ggplot2) set.seed(71185) dist.x <- as.data.frame(round(runif(100000, min= 1.275, max= 1.725), digits=2)) colnames(dist.x) <- 'sim_con' start histogram ggplot

问题 I have a pandas dataframe like the following: df = pd.DataFrame({ 'a_wood' : np.random.randn(100), 'a_grassland' : np.random.randn(100), 'a_settlement' : np.random.randn(100), 'b_wood' : np.random.randn(100), 'b_grassland' : np.random.randn(100), 'b_settlement' : np.random.randn(100)}) and I want to create histograms of this data with every dataframe header in one subplot. fig, ax = plt.subplots(2, 3, sharex='col', sharey='row') m=0 for i in range(2): for j in range(3): df.hist(column = df