histogram

问题 I have code that generates a certain value from -10 to 10 given a range from [0,1) The code takes the value from -10 to 10 and it will append it to a list, according to its probability. For example, -10 would be put in the list 0 times since it corresponds to the value 0, and 10 would be put 100 times (as a normalization) since it corresponds to 1 in the range. Here is the code: #!/usr/bin/env python import math import numpy as np import matplotlib.pyplot as plt pos = [] ceilingValue = 0.82

问题 I have code that generates a certain value from -10 to 10 given a range from [0,1) The code takes the value from -10 to 10 and it will append it to a list, according to its probability. For example, -10 would be put in the list 0 times since it corresponds to the value 0, and 10 would be put 100 times (as a normalization) since it corresponds to 1 in the range. Here is the code: #!/usr/bin/env python import math import numpy as np import matplotlib.pyplot as plt pos = [] ceilingValue = 0.82

问题 I'm playing around with R. I try to visualize the distribution of 1000 dice throws with the following R script: cases <- 1000 min <- 1 max <- 6 x <- as.integer(runif(cases,min,max+1)) mx <- mean(x) sd <- sd(x) hist( x, xlim=c(min - abs(mx/2),max + abs(mx/2)), main=paste(cases,"Samples"), freq = FALSE, breaks=seq(min,max,1) ) curve(dnorm(x, mx, sd), add = TRUE, col="blue", lwd = 2) abline(v = mx, col = "red", lwd = 2) legend("bottomleft", legend=c(paste('Mean (', mx, ')')), col=c('red'), lwd=2

问题 I have a dataset with five variables: Dataset , Biome , Species , Growth.form and N.content . I'm trying to make a histogram with the N.content variable only, but I'm getting the error: Error in hist.default(Ndata, xlab = "Blader", ylab = "N.content", main = "N.content", : 'x' must be numeric What am I doing wrong? Here's my script: mydata <- read.table("Leaf N content.txt", sep="\t", header=TRUE) summary(mydata) class(mydata) str(mydata) table(mydata$Growth.form) table(mydata$Biome) Sumdata

问题 I have a dataset with five variables: Dataset , Biome , Species , Growth.form and N.content . I'm trying to make a histogram with the N.content variable only, but I'm getting the error: Error in hist.default(Ndata, xlab = "Blader", ylab = "N.content", main = "N.content", : 'x' must be numeric What am I doing wrong? Here's my script: mydata <- read.table("Leaf N content.txt", sep="\t", header=TRUE) summary(mydata) class(mydata) str(mydata) table(mydata$Growth.form) table(mydata$Biome) Sumdata

问题 I have a simplified dataframe library(ggplot2) df <- data.frame(wins=c(1,1,3,1,1,2,1,2,1,1,1,3)) ggplot(df,aes(x=wins))+geom_histogram(binwidth=0.5,fill="red") I would like to get the final value in the sequence,3, shown with either a different fill or alpha. One way to identify its value is tail(df,1)$wins In addition, I would like to have the histogram bars shifted so that they are centered over the number. I tried unsuccesfully subtracting from the wins value 回答1: 1) To draw bins in

问题 There is a nice function that draws back to back histograms in Matlab. I need to create a similar graph in matplotlib. Can anyone show a working code example? 回答1: Thanks to the link pointed by Mark Rushakoff, following is what I finally did import numpy as np from matplotlib import pylab as pl dataOne = get_data_one() dataTwo = get_data_two() hN = pl.hist(dataTwo, orientation='horizontal', normed=0, rwidth=0.8, label='ONE') hS = pl.hist(dataOne, bins=hN[1], orientation='horizontal', normed=0

问题 I would like to get a mirrored histogram by group using ggplot as illustrated in the picture at the bottom. library(ggplot2) data2 <- data.frame( type = c( rep("Top 1", n_segment), rep("Top 2", n_segment), rep("Bottom 1", n_segment), rep("Bottom 2", n_segment)), value = c( rnorm(n_segment, mean=5), rnorm(n_segment, mean=12), rnorm(n_segment, mean=-5), rnorm(n_segment, mean=-12)) ) # Represent it data2 %>% ggplot( aes(x=value, fill=type)) + geom_density( color="#e9ecef", alpha=0.6) For now I

问题 What formula does Google Charts use to construct its histogram? For example, does it use Sturge's rule? Doane's rule? Scott's rule? etc. Is there any documentation on how it constructs it default bin size, min, and max? Here is a link to the Histogram page for Google Charts. Google Charts automatically chooses the number of bins for you. All bins are equal width and have a height proportional to the number of data points in the bin. In other respects, histograms are similar to column charts.

问题 I have the following dataset (edited for readability): chol <- read.table(url("http://assets.datacamp.com/blog_assets/chol.txt"), header = TRUE) And I am creating a histogram of the data doing: ggplot(data=chol, aes(chol$AGE)) + geom_histogram() For a particular example I would like to change the x-labels however. Any thoughts on how I can pull this of? 回答1: To illustrate the answer (and better understand the question) a picture: > require(ggplot2) > chol <- read.table(url("http://assets