histogram

问题 This question is related to gnuplot histogram: How to put values on top of bars. I have a datafile file.dat : x y1 y2 1 2 3 2 3 4 3 4 5 and the gnuplot: set style data histogram; set style histogram rowstacked; plot newhistogram 'foo', 'file.dat' u 2:xtic(1) t col, '' u 3 t col; Now I want to place the sums of columns 2 and 3 above the bars. The obvious solution plot newhistogram 'foo', 'file.dat' u 2:xtic(1) t col, '' u 3 t col, \ '' u ($0-1):($2+$3+0.2):($2+$3) notitle w labels font "Arial

问题 I have seen lots of question regarding converting count on y axis into percent but must of them are in bar plot. I want to do similar thing in histogram but not able to show the labels on the bar clearly. Please tell me where I am doing wrong. x = runif(100, min = 0, max = 10) data1 <- data.frame(x = x) ggplot(aes(x = x), data = data1)+ geom_histogram(aes(y = (..count..)/sum(..count..)), bins = 10, breaks = seq(0,10,1), fill = "blue", col = "black")+ geom_text(aes(y = ((..count..)/sum(..count

问题 I have a data file that I am creating a histogram from. The data file is : -0.1 0 0 JANE 1 1 1 BILL 2 2 1 BILL 1 3 1 BILL 6 4 0 JANE 35 5 0 JANE 9 6 1 BILL 4 7 1 BILL 24 8 1 BILL 28 9 1 BILL 9 10 0 JANE 16 11 1 BILL 4 12 0 JANE 45 13 1 BILL My gnuplot script is : file='test.txt' binwidth=10 bin(x,width)=width*floor(x/width) set boxwidth 1 plot file using (bin($1,binwidth)):(1.0) smooth freq with boxes, \ file using (1+(bin($2,binwidth))):(1.0) smooth freq with boxes I would like to plot this

问题 I would like to have 2 histograms to appear on the same plot (with different colors, and possibly differente alphas). I tried import random x = pd.DataFrame([random.gauss(3,1) for _ in range(400)]) y = pd.DataFrame([random.gauss(4,2) for _ in range(400)]) x.hist( alpha=0.5, label='x') y.hist(alpha=0.5, label='y') x.plot(kind='kde', style='k--') y.plot(kind='kde', style='k--') plt.legend(loc='upper right') plt.show() This produces the result in 4 different plots. How can I have them on the

问题 Like this previous poster, I am also using geom_text to annotate plots in gglot2. And I want to position those annotations in relative coordinates (proportion of facet H & W) rather than data coordinates. Easy enough for most plots, but in my case I'm dealing with histograms. I'm sure the relevant information as to the y scale must be lurking in the plot object somewhere (after adding geom_histogram ), but I don't see where. My question: How do I read maximum bar height from a faceted ggplot2

问题 in R, with ecdf I can plot a empirical cumulative distribution function plot(ecdf(mydata)) and with hist I can plot a histogram of my data hist(mydata) How I can plot the histogram and the ecdf in the same plot? EDIT I try make something like that https://mathematica.stackexchange.com/questions/18723/how-do-i-overlay-a-histogram-with-a-plot-of-cdf 回答1: Also a bit late, here's another solution that extends @Christoph 's Solution with a second y-Axis. par(mar = c(5,5,2,5)) set.seed(15) dt <-

问题 I have a little office network and I'm experiencing a huge internet link latency. We have a simple network topology: a computer configured as router running ubuntu server 10.10, 2 network cards (one to internet link, other to office network) and a switch connecting 20 computers. I have a huge tcpdump log collected at the router and I would like to plot a histogram with the RTT time of all TCP streams to try to find out the best solution to this latency problem. So, could somebody tell me how

问题 In the "graphics" package one can add a second x-axis (indicating the percentiles of the distribution) to a histogram as follows: x <- rnorm(1000) hist(x, main="", xlab="Bias") perc <- quantile(x, seq(from=.00, to=1, by=.1)) axis(1,at=perc,labels=c("0","10%","20%","30%","40%","50%","60%","70%","80%","90%","100%"),cex=0.5, pos= -90) That looks awkward, of course. So how can I modify the following ggplot2 code to add a second x-axis, shwing the percentiles, while the first x-axis should

问题 This question already has answers here : How can I create a histogram from aggregated data in R? (4 answers) R Newbie - Histograms/Frequency of values incorporating a quantity Column [duplicate] (1 answer) Closed 5 years ago . I'm used to having a vector of observations like c(1,1,1,3,4) on which I can see summary statistics and plot histograms etc...but now I find myself with, the same data, but in a compressed format like this: value, numObs 1, 3 3, 1 4, 1 How can I easily "unwrap" this

问题 I have a dataset of images, where I create the histogram of every image and then I want to store (write) them into a file, so that for every new image I use as input, I compare the histogram of this image with the ones I already have in the file and find if they are identical. The code so far is this: import numpy as np import cv2 import os.path import glob import matplotlib.pyplot as plt import pickle index = {} #output dic out = { 1: {}, 2: {}, 3: {}, } for t in [1]: #load_files files =