scatter-plot

问题 I am exporting the table data to excel and trying to generate a scatter graph for it. The code for generating is as follows, Dim xlApp As Excel.Application Dim xlWorkBook As Excel.Workbook Dim xlWorkSheet As Excel.Worksheet Dim misValue As Object = System.Reflection.Missing.Value Dim i As Integer Dim j As Integer xlApp = New Excel.ApplicationClass xlWorkBook = xlApp.Workbooks.Add(misValue) xlWorkSheet = xlWorkBook.Sheets("sheet1") For i = 0 To DataGridView2.RowCount - 1 For j = 0 To

问题 I need to draw a line around all of my data points that plot within x-y space. I do not need 2d density distribution. See the picture attached (the field was just drawn manually). Thank you. scatter plot with line around data points 回答1: This is the perfect use case for ggalt 's geom_encircle : #install.packages('ggalt') library(ggalt) #> Loading required package: ggplot2 ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point() + geom_encircle() You can also encircle by group: ggplot(iris,

问题 I am trying to produce some high density scatter plots with R. What package should be installed for this? Or is there any other way to obtain the plots. 回答1: If you really do want a log scaled scatterplot, then this is how to create them in each of the 3 plotting systems. First, some data: dfr <- data.frame(x = rlnorm(1e5), y = rlnorm(1e5)) In base graphics: with(dfr, plot(x, y, log = "xy")) In lattice graphics: library(lattice) p1 <- xyplot(y ~ x, dfr, scales = list(log = TRUE)) p1 In

问题 This question already has answers here : Matplotlib scatterplot; colour as a function of a third variable (3 answers) Closed 8 months ago . I am trying to plot with variable x with respect to another y and add a colormap based on the values of another variable z So the plot should be similar to this My try import numpy as np import pandas as pd import seaborn as sns import random import matplotlib.pyplot as plt import matplotlib.cm as cm x=np.random.randint(0,20,30) y=np.random.randint(-5,5

问题 I wish to know, for a given predicted commute journey duration in minutes, the range of actual commute times I might expect. For example, if Google Maps predicts my commute to be 20 minutes, what is the minimum and maximum commute I should expect (perhaps a 95% range)? Let's import my data into pandas: %matplotlib inline import pandas as pd commutes = pd.read_csv('https://raw.githubusercontent.com/blokeley/commutes/master/commutes.csv') commutes.tail() This gives: We can create a plot easily

问题 I followed this nice answer to generate split violin plots in a 2x2 design Now imagine that these data come from repeated measures in different subjects. I'd like to, additionally, plot the individual data in a scatterplot (I know the plot might end up being too busy, I'd like to see it first). I'm almost there, but have a small error that's probably easily fixed. I include a whole working example in case there's a better way to do this. This first part I copied directly from the previous

问题 The data for some of these types graphs that I'm graphing in R, http://graphpad.com/faq/images/1352-1(1).gif has outliers that are way out of range and I can't just exclude them. I attempted to use the axis.break() function from plotrix but the function doesn't rescale the y axis. It just places a break mark on the axis. The purpose of doing this is to be able to show the medians for both groups, as well as the data points, and the outliers all in one plot frame. Essentially, the data points

问题 I'm trying to find a way to add two different scatterplots to a single graph but i wasn't able so far. I've found some examples in Objective-C but nothing in Swift, just the Scatterplot example in the CorePlot 2.1 release, but it plots the same data in two different line colors. This is what i have so far (only one scatter plot is plotted): import UIKit import CorePlot class ViewController : UIViewController, CPTScatterPlotDataSource { private var scatterGraph : CPTXYGraph? = nil typealias

问题 Hello All, I have the following molten data: X variable value 1 StationA SAR11.cluster 0.001309292 2 StationB SAR11.cluster 0.002712237 3 StationC SAR11.cluster 0.002362708 4 StationD SAR11.cluster 0.002516751 5 StationE SAR11.cluster 0.004301075 6 StationF SAR11.cluster 0.0 . . . etc. etc. I used the following code to chart a bubblechart of the data: ggplot(foomelt, aes(x=foomelt$Station, y=variable, angle=45, size=(value))) + +geom_point() + opts(theme_bw(), axis.text.x = theme_text(size=10

问题 I have a data set I wish to plot as scatter plot with matplotlib, and a vector the same size that categorizes and labels the data points (discretely, e.g. from 0 to 3). I want to use different markers for different labels (e.g. 'x' for 0, 'o' for 1 and so on). How can I solve this elegantly? I am quite sure I am just missing out on something, but didn't really find it, and my naive approaches failed so far... 回答1: What about iterating over all markers like this: import numpy as np import