histogram

问题 I have to plot 10 frequency distributions on one graph. In order to keep things tidy, I would like to avoid making a histogram with bins and would prefer having lines that follow the contour of each histogram plot. I tried the following [counts, bins] = hist(data); plot(bins, counts) But this gives me a very inexact and jagged line. I read about ksdensity, which gives me a nice curve, but it changes the scaling of my y-axis and I need to be able to read the frequencies from the y-axis. Can

问题 This answer shows how to use groups and panel.superpose to display overlapping histograms in the same panel, assigning different colors to each histogram. In addition, I want to give each histogram a different border color. (This will allow me to display one histogram as solid bars without a border, overlayed with a transparent, all-border histogram. The example below is a little different for the sake of clarity.) Although it's possible to use border= to use different border colors in the

问题 I had load buffered image and need to plot histogram? please suggest me next steps to to plot RGB histogram. if it can done using jai please suggest me the way to do it. I hadtried alot and also googled alot but dint found any right solution. here is how i had load my image please provide me next steps BufferedImage image= ImageIO.read(new File("C:\\Images\\Sunset.jpg")); ParameterBlock pb = new ParameterBlock(); int[] bins = { 256 }; double[] low = { 0.0D }; double[] high = { 256.0D }; pb

问题 I am using Python (3.4) Jupyter Notebook. I tried to plot a histogram with label using the code below. %matplotlib notebook import matplotlib.pyplot as plt import matplotlib import numpy as np bins = np.linspace(0, 1.0, 40) plt.hist(good_tests, bins, alpha = 0.5, color = 'b' , label = 'good') plt.show() But the label 'good' doesn't show at all. Did I miss anything? Thanks! 回答1: you need to add a legend. See legend for details. plt.legend() 来源： https://stackoverflow.com/questions/41213346

问题 I am using Python (3.4) Jupyter Notebook. I tried to plot a histogram with label using the code below. %matplotlib notebook import matplotlib.pyplot as plt import matplotlib import numpy as np bins = np.linspace(0, 1.0, 40) plt.hist(good_tests, bins, alpha = 0.5, color = 'b' , label = 'good') plt.show() But the label 'good' doesn't show at all. Did I miss anything? Thanks! 回答1: you need to add a legend. See legend for details. plt.legend() 来源： https://stackoverflow.com/questions/41213346

问题 came across this seemingly new package - skimr, which looks pretty nifty, and was trying it out and looks like I'm missing some package installation. Skim works fine except that it doesn't print the histogram, it is supposed to print for numeric variables. I am merely trying the examples given in the documentation. Link to skimr documentation here - https://github.com/ropenscilabs/skimr#skimr this is the code I'm using devtools::install_github("hadley/colformat") devtools::install_github(

问题 This question already has answers here : How to get data labels for a histogram in ggplot2? (2 answers) Closed 3 years ago . I have data that tells me how many minutes were required to solve a task: dat = data.frame(a = c(5.5,7,4,20,4.75,6,5,8.5,10,10.5,13.5,14,11)) I plotted a density histogram of the data with the ggplot2 package: p=ggplot(dat, aes(x=a)) + geom_histogram(aes(y=..density..),breaks = seq(4,20,by=2))+xlab("Required Solving Time") Now I would like to add labels of the height of

问题 I want to calculate 3D histogram of my Cielab image in python. I am using openCV to calculate my histogram. I want to compare images using compareHist function of openCV, thats why I am using openCV to compute 3D histogram of my image. I tried with the following variables: i_lab = image.copy() i_lab = i_lab.astype(np.uint8) Range_hist = [[0, 100], [-100, 100], [-100, 100]] hist_1 = cv2.calcHist([i_lab], [[0], [1], [2]], None, [[20], [20], [20]], Range_hist) But it gives error SystemError:

问题 I have this code that produces a histogram, identifying three types of fields; "Low", "medium" , and "high": import pylab as plt import pandas as pd df = pd.read_csv('April2017NEW.csv', index_col =1) df1 = df.loc['Output Energy, (Wh/h)'] # choose index value and Average df1['Average'] = df1.mean(axis=1) N, bins, patches = plt.hist(df1['Average'], 30) cmap = plt.get_cmap('jet') low = cmap(0.5) medium =cmap(0.25) high = cmap(0.8) for i in range(0,4): patches[i].set_facecolor(low) for i in range

问题 So basically I want to count the number of occurrences a floating point appears in a given list. For example: a list of grades (all scores out of 100) are inputted by the user and they are sorted in groups of ten. How many times do scores from 0-10, 10-20, 20-30.. etc) appear? Like test score distribution. I know I can use the count function but since I'm not looking for specific numbers I'm having trouble. Is there a away to combine the count and range? Thanks for any help. 回答1: To group the