data-visualization

问题 Suppose, I have x = [1,2,3,4,5,6] and the corresponding y = [3,4,5,6,7,8] . I want the first pair (1,3) to be in a different color or shape. How can this be done using python? 回答1: One of the simplest possible answers. import matplotlib.pyplot as plt x = [1,2,3,4,5,6] y = [3,4,5,6,7,8] plt.plot(x[1:], y[1:], 'ro') plt.plot(x[0], y[0], 'g*') plt.show() 来源： https://stackoverflow.com/questions/41489543/using-matplotlib-how-to-highlight-one-point-in-the-final-plot

问题 Hi I would like to produce a heatmap in Python, similar to the one shown, where the size of the circle indicates the size of the sample in that cell. I looked in seaborn's gallery and couldn't find anything, and I don't think I can do this with matplotlib. 回答1: It's the inverse. While matplotlib can do pretty much everything, seaborn only provides a small subset of options. So using matplotlib, you can plot a PatchCollection of circles as shown below. Note: You could equally use a scatter

问题 I'd like to generate a choropleth map using the following data points: Longitude Latitude Price Here is the dataset - https://www.dropbox.com/s/0s05cl34bko7ggm/sample_data.csv?dl=0. I would like the map to show the areas where the price is higher and the where price is lower. It should most probably look like this (sample image): Here is my code: library(ggmap) map <- get_map(location = "austin", zoom = 9) data <- read.csv(file.choose(), stringsAsFactors = FALSE) data$average_rate_per_night <

问题 I have added the following command to the plot in R: df<- read.table("filename.csv", header=TRUE, sep=",", stringsAsFactors=FALSE) tdf=as.data.frame(df[2:ncol(df)]) # draw the plot bb<- barplot(as.matrix(tdf), beside=T , col=colours,border="black", ylim=c(0,100), ylab="Percentage (%)",xlab="Methods)") y<-as.matrix(tdf) text(bb,y+2,labels=as.character(y),pos =1,offset=3,cex = 0.6, col = "black") legend("topleft", c("M1","M2","M3","M4","M5", "M6"), cex=0.6,inset=c(1,0),xpd=TRUE, fill=colours)

问题 I have added the following command to the plot in R: df<- read.table("filename.csv", header=TRUE, sep=",", stringsAsFactors=FALSE) tdf=as.data.frame(df[2:ncol(df)]) # draw the plot bb<- barplot(as.matrix(tdf), beside=T , col=colours,border="black", ylim=c(0,100), ylab="Percentage (%)",xlab="Methods)") y<-as.matrix(tdf) text(bb,y+2,labels=as.character(y),pos =1,offset=3,cex = 0.6, col = "black") legend("topleft", c("M1","M2","M3","M4","M5", "M6"), cex=0.6,inset=c(1,0),xpd=TRUE, fill=colours)

问题 I recreated a new Ensemble method that does Voting manually between my three classifiers. (Courtesty of Daniel who helped me make the function from here: Improving the prediction score by use of confidence level of classifiers on instances). The purpose of this manual voting was to accept the answers for each instance for the most confident classifier. Below is the code with their accuracy scores: # parameters for random forest rfclf_params = { 'n_estimators': 500, 'bootstrap': True, 'class

问题 I want to visualize the following dict of dicts players_info = {'Afghanistan': {'Asghar Stanikzai': 809.0, 'Mohammad Nabi': 851.0, 'Mohammad Shahzad': 1713.0, 'Najibullah Zadran': 643.0, 'Samiullah Shenwari': 774.0}, 'Australia': {'AJ Finch': 1082.0, 'CL White': 988.0, 'DA Warner': 1691.0, 'GJ Maxwell': 822.0, 'SR Watson': 1465.0}, 'England': {'AD Hales': 1340.0, 'EJG Morgan': 1577.0, 'JC Buttler': 985.0, 'KP Pietersen': 1176.0, 'LJ Wright': 759.0}} Currently I am using the following way but

问题 I have the represented independently these two plots using R: #PLOT 1 x<-250:2500 #Hsap. Northern European a<-dnorm(x,1489,167) #Hsap. South African b<-dnorm(x,1472,142) plot(x,a, type="l", lwd=3, ylim=c(0,1.2*max(a,b,c)), ylab="Probability Density", xlab="Microns") lines(x,b, type="l", lwd=3, col="Red") PLOT 2 #CUSPAL ENAMEL FORMATION TIME x<-0:800 #Hsap. Northern European a<-dnorm(x,447,37) #Hsap. South African b<-dnorm(x,444,33) plot(x,a, type="l", lwd=3, ylim=c(0,1.2*max(a,b,c)), ylab=

问题 I just started using ggplot2 on R and have a violin plot question. I have a data set that can be accessed here: data. The data comes from a study of making estimations. The variables of interest are the question.no (questions), condition, estimate.no (tr.est1 or tr.est2) and estimate. The code below makes the plot look almost the way I want it to look at least for one question, yet the median dots generated by stat_summary() are displayed in between the "violins." v.data<-read.csv("data.csv")

问题 I just started using ggplot2 on R and have a violin plot question. I have a data set that can be accessed here: data. The data comes from a study of making estimations. The variables of interest are the question.no (questions), condition, estimate.no (tr.est1 or tr.est2) and estimate. The code below makes the plot look almost the way I want it to look at least for one question, yet the median dots generated by stat_summary() are displayed in between the "violins." v.data<-read.csv("data.csv")