scatter-plot

问题 How do I go about adding regression lines to a scatterplot matrix? I have the following script: NewNEMSIS = read.csv("NewNEMSIS.csv") library(gclus) newmatrix = NewNEMSIS[,2:5] newmatrix.r = abs(cor(newmatrix)) newmatrix.col = dmat.color(newmatrix.r) area = NewNEMSIS$area cpairs(newmatrix[which(area=="A"),c('Response','SceneToPatient','TotalScene','TotalCall')], panel.colors=newmatrix.col, gap=.5, main="Scatterplot Matrix of City A Times", ylim=c(0,60), xlim=c(0,60), na.omit=TRUE, ) How can I

问题 I am using Python and a CSV file. I am currently trying to modify the scatter plot(2d) below to change colors based on a third column in my csv file. After searching through multiple posts, I basically want to use a generic colormap (rainbow) and multiply my third array by the colormap in order to display different colors for each of the xy points. I think I can do everything from the ax.scatter function but I am not sure how to multiply each different x,y coordinate by the colormap and the

问题 I have plotted a 2-D histogram in a way that I can add to the plot with lines, points etc. Now I seek to apply a linear regression fit at the region of dense points, however my linear regression line seems totally off where it should be? To demonstrate here is my plot on the left with both a lowess regression fit and linear fit. lines(lowess(na.omit(a),na.omit(b),iter=10),col='gray',lwd=3) abline(lm(b[cc]~a[cc]),lwd=3) Here a and b are my values and cc are the points within the densest parts

问题 I am doing a scatter plot with square marker in matplotlib like this one: . I want to achieve something like this: Which means I have to adjust the marker size and the figure size/ratio in such a way that there are no white space between markers. Also there should be a marker per index unit ( x and y are both integers) so if y goes from 60 to 100, there should be 40 markers in y direction. At the moment I am tuning it manually. Any idea on what is the best way to achieve this? 回答1: I found

问题 What would the Python code be for a scatter-plot matrix with lowess smoothers similar to the following one? I'm not sure about the original source of the graph. I saw it on this post on CrossValidated. The ellipses define the covariance according to the original post. I'm not sure what the numbers mean. 回答1: I adapted the pandas scatter_matrix function and got a decent result: import pandas as pd import numpy as np frame = pd.DataFrame(np.random.randn(100, 4), columns=['A','B','C','D']) fig =

问题 This is about how MATLAB can take very different times to plot the same thing — and why. I generate 10000 points in 3D space: X = rand(10000, 1); Y = rand(10000, 1); Z = rand(10000, 1); I then used one of four different methods to plot this, to create a plot like so: I closed all figures and cleared the workspace between each run to try to ensure fairness. Bulk plotting using scatter3: >> tic; scatter3(X, Y, Z); drawnow; toc Elapsed time is 0.815450 seconds. Individual plotting using scatter3

问题 I have a daily annual energy consumption data set for a one year period. I would like to show a scatter graph of this data set separated into the four clusters which I expect exist (due to the differences of the four seasons) I understand that matlab cluster function can do this but my statistics is very rusty and I was hoping to get some guidance into which function is the best to use Thanks 回答1: Consider the following example of hierarchical clustering applied to the Fisher Iris dataset

问题 I would like to produce a scatter plot with ggplot2, which contains both a regression line through all data points (regardless which group they are from), but at the same time varies the shape of the markers by the grouping variable. The code below produces the group markers, but comes up with TWO regression lines, one for each group. #model=lm(df, ParamY~ParamX) p1<-ggplot(df,aes(x=ParamX,y=ParamY,shape=group)) + geom_point() + stat_smooth(method=lm) How can I program that? 回答1: you shouldn

问题 I'm adding custom hover text for scatterplot points in a plotly graph in R. It appears to be aligning the text left, center, or right depending on whether the text box is shown to the right, center, or the left of the plot points, respectively. I'd prefer if the text was always aligned left regardless of the positioning of the box. I've been able to style the font, e.g. setting the color and size, but haven't been able to change the text alignment. Here's an MRE. I've removed the legend so

问题 I am using google charts API to draw scatter, is there a way to label each node in the scatter diagram. I guess it only uses the numeric values.....Any other tools I can use instead. Example: Name Age Response Allen 12 40 Tom 16 45 Sim 17 60 X and y axis will be age and response respectively, but each node on the graph can I label as Allen, Tom, Sim 回答1: You can label the points in a Google ScatterChart by adding a tooltip. Tooltips show up when you mouseover a data point. The code for your