scatter-plot

问题 Is there any function etc which avoids overlapping data labels for identical data points in a scatter plot? I have checked the various questions/responses to textxy, direct.label, and geom_text(), but I haven't been successful. Maybe it's simply not possible. Here's a sample of the relevant data: structure(list(cowc = structure(c(5L, 7L, 24L, 24L, 23L, 36L, 34L, 38L, 23L, 6L, 8L, 38L, 38L, 23L, 5L, 7L, 24L, 24L, 23L, 36L, 34L, 38L, 23L, 6L, 8L, 38L, 38L, 23L), .Label = c("AFG", "ANG", "AZE",

问题 Does anyone know how to create a scatterplot in R to create plots like these in PRISM's graphpad: I tried using boxplots but they don't display the data the way I want it. These column scatterplots that graphpad can generate show the data better for me. Any suggestions would be appreciated. 回答1: As @smillig mentioned, you can achieve this using ggplot2. The code below reproduces the plot that you are after pretty well - warning it is quite tricky. First load the ggplot2 package and generate

问题 So I've been working on this for the past week. Although it can't do miracles, I can say I've got a pretty good result: I just wanted to put this code out there for all the poor souls like me that are looking for some kind of vba macro that helps them avoid label overlaps in a scatter plot, because while doing my research on the subject, I wasn't able to find anything helpful. 回答1: Const PIXEL_TO_POINT_RATIO As Double = 0.72 '1 Pixel = 72/96*1 Point Const tStep As Double = 0.1 Const rStep As

问题 I have a scatterplot in R. Each (x,y) point is colored according to its z value. So you can think of each point as (x,y,z) , where (x,y) determines its position and z determines its color along a color gradient. I would like to add two things A legend on the right side showing the color gradient and what z values correspond to what colors I would like to smooth all the color using some type of interpolation, I assume. In other words, the entire plotting region (or at least most of it) should

问题 How to add points to the existing diagram? The straightforward solution is to plot a new scatter, adding new data. ax.scatter(data[:,0], data[:,1], cmap = cmap, c = color_data) ax.scatter(new_points_x, new_points_y, color='blue') But if we want to add more points with new colors, there is a problem: we have to take into consideration all previously added points. It would be great if I could use a special function like AddPoint(ax, new_point, color) I want only add new points in new colors. I

问题 I would like to add a legend to a ggplot2 scatter graph which distinguishes between a regression line and a separate line I've added. For example, library(ggplot2) set.seed(123) data1=rnorm(1000,1,2) data2=rnorm(1000,1,4) DF=data.frame(data1,data2) ggplot(DF,aes(data1,data2))+geom_point(colour="dodgerblue",alpha=0.75)+geom_smooth(method=lm,se=F,aes(colour="Line of best fit"))+ geom_abline(intercept = 0, slope = 1, linetype="dashed", colour="black", alpha=1,size=1) There are two lines on this

问题 I would like to add a legend to a ggplot2 scatter graph which distinguishes between a regression line and a separate line I've added. For example, library(ggplot2) set.seed(123) data1=rnorm(1000,1,2) data2=rnorm(1000,1,4) DF=data.frame(data1,data2) ggplot(DF,aes(data1,data2))+geom_point(colour="dodgerblue",alpha=0.75)+geom_smooth(method=lm,se=F,aes(colour="Line of best fit"))+ geom_abline(intercept = 0, slope = 1, linetype="dashed", colour="black", alpha=1,size=1) There are two lines on this

问题 I am using NVD3 scatter/ Bubble chart. This is a continuation from the question here. I am plotting the log base 2 values for the y axis. But I want the y axis to have the original values as labels corresponding to the log base 2 scale. I am unable to understand how to do so. Edit This is what I have for plotting data[i].values.push({ x: random() , y: log2(yValue) , size: Math.random() }); function log2(val) { console.log("val = " + val + " : " + Math.log(val) / Math.LN2) return Math.log(val)

问题 I am trying to plot some pairs of scatterplots using "pairs". My dataframe look like : >e X Y Z 0 0 0 2 3 4 0 3 4 3 3 3 A completely standard dataframe here. I use this to plot my scatter plots, again nothing fancy: pairs(~X+Y+Z, data=e, log="xy") It works great, but it doesn't plot the labels. However if I remove the log="xy" in the command, then the labels are plotted nicely. So I guess it has to do with the fact that I want my scatterplots to be in log scale. So my question is what shall I

问题 I have some data let say x , y , and z . All are 1D arrays. I have done a scatter plot with z as color as; import matplotlib.pyplot as plt plt.scatter(x,y,c=z,alpha = 0.2) plt.xlabel("X") plt.ylabel("Y") plt.ylim((1.2,1.5)) plt.colorbar() The z values are normalized and its between -1 to 1 . I have attached the figure below. The question I have is; How can I filter the colors such that let say the points that have a color value between -0.25 to 0.25 disappear form the figure (i.e set the