scatter-plot

问题 I've got an issue when using the pyqtgraph module in python. When I put a white background color to a glscatterplot, the scatter dots just vanish. It is like if the color of background was added to the color of the scatterplot therefore everything is white. Here is a piece of the code I use: w = gl.GLViewWidget() w.setBackgroundColor('w') w.show() sp3 = gl.GLScatterPlotItem(pos=np.transpose(pos3), color=rgba_img, size=1, pxMode=False) w.addItem(sp3) If I replace ('w') by ('k') in the

问题 I have a barChart with overplot a lineChart, two different series barChart.getData().addAll(series1); lineChart.getData().addAll(series2); My question: is it possible, and how to, clone barChart axis so to get the same settings for lineChart? What I would like to have is a perfect axis settings overlapping. Thanks Edit: at this link axis clone method I see there is a clone method Methods inherited from class java.lang.Object How can I use this method? Thanks all Edit2: below is a sample class

问题 I can't figure out how to use colours while trying to create a scatter plot in matplotlib. I'm trying to plot multiple scatter plots with different colour points to show the clusters. colors=['#12efff','#eee111','#eee00f','#e00fff','#123456','#abc222','#000000','#123fff','#1eff1f','#2edf4f','#2eaf9f','#22222f' '#eeeff1','#eee112','#00ef00','#aa0000','#0000aa','#000999','#32efff','#23ef68','#2e3f56','#7eef1f','#eeef11'] C=1 fig = plt.figure() ax = fig.gca(projection='3d') for fgroups in groups

问题 I have a figure file (scatter.fig) . This figure has many scatter points plotter using scatter(). Now i just have this fig file, I need to increase the marker size of all scatter points. Tried it manually but its very difficult. Is there a way i can do something like H=figurehandle() s= points(h) set(s,'markersize'); I just could not figure out the exact commands. Thanks. 回答1: You need to get a handle to the scattergroup object to change the marker properties. As proposed by Jonas in a

问题 I am trying to create a plot with logarithmically spaced grids using ggplot2 just like in the below figure. I get equidistant grids, but not log spaced ones. I know I am missing some parameter which I don't seem to get as of now. I have seen a lot of questions on the topic like Pretty ticks for log normal scale using ggplot2 (dynamic not manual), but do not solve the problem I am looking for. set.seed(5) x <- rlnorm(1000, meanlog=3.5, sdlog=1) y <- rlnorm(1000, meanlog=4.0, sdlog=1) d <- data

问题 I have been struggling with this for a while and can't get it to work. I am reading a file in chunks and scatter plotting data from it, and I would like to "animate" it by updating the scatter plot for each chunk in a for loop (and also adapt it to a live stream of data). So something like this ugly example works for a single plot: x = [1, 2, 3, 4] y = [4, 3, 2, 1] alpha = [0.2, 0.3, 0.8, 1.0] c = np.asarray([(0, 0, 1, a) for a in alpha]) s = scatter(x, y, marker='o', color=c, edgecolors=c)

问题 I have a highcharts legend where the symbols are displaying with varying sizes as they are different sizes in the actual chart. Unfortunately, when the sizes of the data points grow, they also grow in the legend. I want the legend symbols to remain the same size regardless of the data point size. Here is an example where the data points have grown with the graph. In case it matters, the actual graph I'm using is a scatter plot (unlike the example). http://jsfiddle.net/RsUhk/ Any help is much

问题 I've been trying to save an animated scatterplot with matplotlib, and I would prefer that it didn't require totally different code for viewing as an animated figure and for saving a copy. The figure shows all the datapoints perfectly after the save completes. This code is a modified version of Giggi's on Animating 3d scatterplot in matplotlib, with a fix for the colors from Yann's answer on Matplotlib 3D scatter color lost after redraw (because colors will be important on my video, so I want

问题 I am working on a project that involves applying colormaps to scatterplots generated in matplotlib. My code works as expected, unless the scatterplot being generated has exactly four points. This is illustrated in the following code: import numpy as np import matplotlib.pyplot as plt cmap = plt.get_cmap('rainbow_r') z = np.arange(20) plt.close() plt.figure(figsize=[8,6]) for i in range(1,11): x = np.arange(i) y = np.zeros(i) + i plt.scatter(x, y, c=cmap(i / 10), edgecolor='k', label=i, s=200)

问题 I want to plot the correlation plot of 2 variables using seaborn jointplot . I have tried a lot of different things but I am not able to add colors to the points according to class. Here is my code: import numpy as np import seaborn as sns import matplotlib.pyplot as plt sns.set() X = np.array([5.2945 , 3.6013 , 3.9675 , 5.1602 , 4.1903 , 4.4995 , 4.5234 , 4.6618 , 0.76131, 0.42036, 0.71092, 0.60899, 0.66451, 0.55388, 0.63863, 0.62504, 0. , 0. , 0.49364, 0.44828, 0.43066, 0.57368, 0. , 0. , 0