histogram

问题 I am trying to do a simple hist plot and colour the bins by quantile . I was wondering why when the bins size change the colours gets all messed up. Maybe I am not doing it right from the beginning. The quantiles are quantile(x) 0% 25% 50% 75% 100% 0.00 33.75 58.00 78.25 123.00 Then I am setting the colours with the quantile values k = ifelse(test = x <= 34, yes = "#8DD3C7", no = ifelse(test = (x > 34 & x <= 58), yes = "#FFFFB3", no = ifelse(test = (x > 58 & x <= 79), yes = "#BEBADA", no =

问题 I have a data file file.dat with three columns (radio, angle, Temperature) for points in the plane, and I want to plot this data as a histogram using polar coordenates and color maps, like in the figure below but using gnuplot. I can create a histogram.dat file with the values of the bins that I want but I don't know how to plot it in gnuplot 回答1: To my knowledge there is no right-away "polar heatmap" plotting style in gnuplot (but I could be wrong, at least, I haven't seen an example on the

问题 I have created the below historgram using the plot function: hist(mst$Total[which(mst$Total<100)], axes = TRUE, ylab = "", xlab = "", main = "", col = "chartreuse4", breaks = tb, freq=TRUE, right = FALSE) The breaks have been specified as the following: tb = c(0,1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100) I would like to be able to fill specific historgram bins with different colours. colour one: [0,1) colour two: [1,5) colour three: [5,10) [10,15) and [15,20) colour four:

问题 I cant correctly control if a bin is going from e.g. -10 to +10 or from 0 to 20 when I say binwidth = 20 i get the former but I have data that begins at 1 and I dont want the interval to go into the negatives. Here is an example of my problem: testData = data.frame(x=c(1,4,6,9,9)) ggplot(data=testData, aes(x=testData$x)) + geom_histogram(binwidth=3, aes(col=I("white"))) + scale_x_continuous(breaks=c(1,2,3,4,5,6,7,8,9,10)) strange enough, if I use binwidth = 2 I end up with intervals like I

问题 I know how to do this in R and have provided a code for it below. I want to know how can I do something similar to the below mentioned in Python Matplotlib or using any other library library(ggplot2) ggplot(dia[1:768,], aes(x = Glucose, fill = Outcome)) + geom_bar() + ggtitle("Glucose") + xlab("Glucose") + ylab("Total Count") + labs(fill = "Outcome") 回答1: Please consider the following example, which uses seaborn 0.11.1. import pandas as pd import numpy as np import seaborn as sns import

问题 I know how to do this in R and have provided a code for it below. I want to know how can I do something similar to the below mentioned in Python Matplotlib or using any other library library(ggplot2) ggplot(dia[1:768,], aes(x = Glucose, fill = Outcome)) + geom_bar() + ggtitle("Glucose") + xlab("Glucose") + ylab("Total Count") + labs(fill = "Outcome") 回答1: Please consider the following example, which uses seaborn 0.11.1. import pandas as pd import numpy as np import seaborn as sns import

问题 I came across a neat feature when plotting a table with base::plot() > test.matrix<-matrix(c(70,120,65,140,13,68,46,294,52,410),ncol=2,byrow=TRUE) > rownames(test.matrix)<-c("BC.1","BC.2","GC","MO","EB") > colnames(test.matrix)<-c("12m","3m") > test.matrix <- as.table(test.matrix) > test.matrix 12m 3m BC.1 70 120 BC.2 65 140 GC 13 68 MO 46 294 EB 52 410 > plot(test.matrix) This plots sth like a barcode plot, with bar height reflecting row-wise difference and bar width reflecting table cell

问题 I came across a neat feature when plotting a table with base::plot() > test.matrix<-matrix(c(70,120,65,140,13,68,46,294,52,410),ncol=2,byrow=TRUE) > rownames(test.matrix)<-c("BC.1","BC.2","GC","MO","EB") > colnames(test.matrix)<-c("12m","3m") > test.matrix <- as.table(test.matrix) > test.matrix 12m 3m BC.1 70 120 BC.2 65 140 GC 13 68 MO 46 294 EB 52 410 > plot(test.matrix) This plots sth like a barcode plot, with bar height reflecting row-wise difference and bar width reflecting table cell

问题 Is it possible to take a histogram from seaborn and add a normal distribution? Say I had something like this scatter plot and histogram from the documentation. import seaborn as sns penguins = sns.load_dataset("penguins") sns.jointplot(data=penguins, x="bill_length_mm", y="bill_depth_mm"); plt.savefig('deletethis.png', bbox_inches='tight') Can i superimpose a distribution on the sides like the image below? import matplotlib.pyplot as plt import numpy as np from scipy.stats import norm x = np

问题 I am trying to make a histogram using animation, but it is not showing. #using animation library %matplotlib notebook import pandas as pd import numpy as np import matplotlib.animation as animation import matplotlib.pyplot as plt n=100 x=np.random.randn(n) def update(curr): if curr==n: a.event_source.stop() plt.cla() bins=np.arange(-4,4,0.5) plt.hist(x[:curr],bins=bins) plt.axis([-4,4,0,30]) plt.gca().set_title('sampling the normal distribution') plt.gca.set_ylabel('frequency') plt.gca().set