scatter-plot

I am using Python matplotlib. i want to superimpose scatter plots. I know how to superimpose continuous line plots with commands: >>> plt.plot(seriesX) >>> plt.plot(Xresampl) >>> plt.show() But it does not seem to work the same way with scatter. Or maybe using plot() with a further argument specifying line style. How to proceed? thanks You simply call the scatter function twice, matplotlib will superimpose the two plots for you. You might want to specify a color, as the default for all scatter plots is blue. This is perhaps why you were only seeing one plot. import numpy as np import pylab as

I'm working with matplotlib to plot a variable in latitude longitude coordinates. The problem is that this image cannot include axes or borders. I have been able to remove axis, but the white padding around my image has to be completely removed (see example images from code below here: http://imgur.com/a/W0vy9 ) . I have tried several methods from Google searches, including these StackOverflow methodologies: Remove padding from matplotlib plotting How to remove padding/border in a matplotlib subplot (SOLVED) Matplotlib plots: removing axis, legends and white spaces but nothing has worked in

I have loaded a picture into a numpy array using mahotas. import mahotas img = mahotas.imread('test.jpg') Each pixel in img is represented by an array of RGB values: img[1,1] = [254, 200, 189] I have made a 3D scatterplot of R values on one axis, G values on the 2nd axis and B values on the third axis. This is no problem: fig = plt.figure() ax = fig.add_subplot(111, projection = '3d') for i in range(1,img.shape[1]+1): xs = img[i,1][0] ys = img[i,1][1] zs = img[i,1][2] ax.scatter(xs, ys, zs, c='0.5', marker='o') ax.set_xlabel('X Label') ax.set_ylabel('Y Label') ax.set_zlabel('Z Label') plt.show

I am trying to replicate the example here (sthda.com) using the following code: # Change point shapes and colors manually ggplot(mtcars, aes(x=wt, y=mpg, color=cyl, shape=cyl)) + geom_point() + geom_smooth(method=lm, se=FALSE, fullrange=TRUE)+ scale_shape_manual(values=c(3, 16, 17))+ scale_color_manual(values=c('#999999','#E69F00', '#56B4E9'))+ theme(legend.position="top") The example on that web page says that code should produce the following result: But when I run it in R, I get the following error: "Error: Continuous value supplied to discrete scale" Does anyone know what could be wrong

I have a Highcharts scatterplot. Some details of the chart object are below: plotOptions: { scatter: { lineWidth:1, marker: { radius: 1, symbol:'circle', fillColor: '#800000', states: { hover: { enabled: true, radius:0, radiusPlus:2, lineColor: '#ff0000', fillColor: '#ff0000' } } }, states: { hover: { halo:false, lineWidthPlus:2, } } } } and the full working example is here . I need to change the line color when hovering the series, but I am unable to do it. Is this possible? This can be easily achieved with events. All you need is to update the series color property when user hovers on a

I'm trying to create a graph with JFreeChart, however it doesn't get the lines right. Instead of connecting the points in the order I put them, it connects the points from in order of their x-values. I'm using ChartFactory.createScatterPlot to create the plot and a XYLineAndShapeRenderer to set the lines visible. /edit: sscce: package test; import org.jfree.chart.ChartFactory; import org.jfree.chart.ChartPanel; import org.jfree.chart.JFreeChart; import org.jfree.chart.plot.PlotOrientation; import org.jfree.chart.plot.XYPlot; import org.jfree.chart.renderer.xy.XYLineAndShapeRenderer; import org

Inspired by this example I'm trying to write a little matplotlib program that allows the user to drag and drop datapoints in a scatter plot dynamically. In contrast to the example which uses a bar plot (and thus allows dragging of rectangles) my goal was to achieve the same with other patches, like for instance a circle (any patch that is more scatter-plot-compatible than a rectangle would do). However I'm stuck at the point of updating the position of my patch. While a Rectangle provides a function set_xy I cannot find a direct analog for Cirlce or Ellipse . Obtaining the position of a circle

Does anyone know a way to bring a scatter plot to the foreground in matplotlib? I have to display the scatter plotting on top of the contour, but by default it is plotted underneath... Thanks in advance! You can manually choose in which order the different plots are to be displayed with the zorder parameter of e.g. the scatter method. To demonstrate, see the code below, where the scatter plot in the left subplot has zorder=1 and in the right subplot it has zorder=-1 . The object with the highest zorder is placed on top. This means that the scatter will be placed on top of the contour in the