histogram

来源： https://stackoverflow.com/questions/60992750/how-to-add-summary-statistics-in-histogram-plot-using-ggplot2

来源： https://stackoverflow.com/questions/62418159/distribution-of-outcomes-in-dice-experiments

来源： https://stackoverflow.com/questions/62418159/distribution-of-outcomes-in-dice-experiments

来源： https://stackoverflow.com/questions/62418159/distribution-of-outcomes-in-dice-experiments

问题 I am using and familiar with cv2 , today I was giving a try with skimage . I was trying to read an image using skimage and cv2 . It seems that they both read the image perfectly. But when I plot histograms of the image but read through different libraries ( skimage and cv2 ), the histogram shows a significant difference. Would anyone help me by explaining the difference between the histograms? My code: import cv2 import skimage.io as sk import numpy as np import matplotlib.pyplot as plt path

问题 I am very new to R and I am using it for my probability class. I searched for this question here, but it looks that is not the same as I want to do. (If there is already an answer, please tell me). The problem is that I want to save multiple plots of histograms in the same file. For example, if I do this in the R prompt, I get what I want: library(PASWR) data(Grades) attach(Grades) # Grade has gpa and sat variables par(mfrow=c(2,1)) hist(gpa) hist(sat) So I get both histograms in the same

问题 I am very new to R and I am using it for my probability class. I searched for this question here, but it looks that is not the same as I want to do. (If there is already an answer, please tell me). The problem is that I want to save multiple plots of histograms in the same file. For example, if I do this in the R prompt, I get what I want: library(PASWR) data(Grades) attach(Grades) # Grade has gpa and sat variables par(mfrow=c(2,1)) hist(gpa) hist(sat) So I get both histograms in the same

问题 I've been having issues displaying minor tick marks on my histogram plot. I've tried the idea of plotting unlabeled major tick marks, but the tick marks wouldn't display. My code is pretty cumbersome and probably has some redundant lines. Any help would be appreciated. ggplot(data=Shrimp1, aes(Shrimp1$Carapace.Length))+ geom_histogram(breaks=seq(3.5, 25, by=0.1), col="black", fill="gray", alpha=1)+ labs(title="Total Female Carapace Length")+ labs(x="Carapace Length (mm)", y="# of Shrimp")+

问题 I've been having issues displaying minor tick marks on my histogram plot. I've tried the idea of plotting unlabeled major tick marks, but the tick marks wouldn't display. My code is pretty cumbersome and probably has some redundant lines. Any help would be appreciated. ggplot(data=Shrimp1, aes(Shrimp1$Carapace.Length))+ geom_histogram(breaks=seq(3.5, 25, by=0.1), col="black", fill="gray", alpha=1)+ labs(title="Total Female Carapace Length")+ labs(x="Carapace Length (mm)", y="# of Shrimp")+

问题 I'm currently trying to determine the color difference between our output image and a painting of Monet with Python using OpenCV. With my research I've seen that Delta E is the best for determining color difference. I've tried using extracting the BGR Channels of the two images and then taking the mean "Blue" "Green" and "Red" color used to use for computing the difference of each color channel. output_chans = cv2.split(image) monet_chans = cv2.split(best_painting) colors = ("Blue", "Green",