visualization

问题 I have a project for visualizing some data on tablet. I'll probably use android for developing the application but I have no idea that how could I visualize the real time data ? which tools are available on android for doing this ? I noticed that I can use OpenGL ES but then I know nothing of this and it's quite complicated for me . Is there any other simple tool that could get the real time data and visualize it ? we have a basic Matlab/Simulink visualization but need a better visualization.

问题 I'm an R/ggplot newbie. I would like to create a geom_line plot of a continuous variable time series and then add a layer composed of events. The continuous variable and its timestamps is stored in one data.frame, the events and their timestamps are stored in another data.frame. What I would really like to do is something like the charts on finance.google.com. In those, the time series is stock-price and there are "flags" to indicate news-events. I'm not actually plotting finance stuff, but

问题 I have 42 variables and I have calculated the correlation matrix for them in Matlab. Now I would like to visualize it with a schemaball. Does anyone have any suggestions / experiences how this could be done in Matlab? The following pictures will explain my point better: In the pictures each parabola between variables would mean the strength of correlation between them. The thicker the line is, the more correlation. I prefer the style of picture 1 more than the style in picture 2 where I have

问题 I am using highcharts on a project, I am having trouble with the creation of multiple series of data updating dynamically generating a column chart, my aim is to keep all the series at a static position and change according to the data. Till now i have achieved this : https://jsfiddle.net/jk05qcq4/ Highcharts.chart('container', { chart: { type: 'column', backgroundColor: null, animation: Highcharts.svg, // don't animate in old IE marginRight: 10, events: { load: function() { var iter = 0; //

问题 I have written a simple SOM algorithm in MATLAB. My big challenge is that, how can I visualize/plot data in the format of U-Matrix, Sample Hits and Component/Input Planes? These three plots exists in the SOM toolbox in MATLAB. But the problem is that I cannot call them to visualize my data over my written code. Because they need a 'net' as input in which my code does not make any 'net'. Is there any guidance? 回答1: You can create your own functions as they are not too complicated. I will

问题 My final goal is to find a way to 3d visualize all layers during the training something like tensorSpace but real time during the training phase . I am using tensorflow and google colab. I managed to get each output like a tensor by creating a custom callback and creating this method def on_train_batch_end(self, batch, logs=None): for i in range(len(model_inception.layers)): get_layer_output = K.function(inputs = self.model.layers[i].input, outputs = self.model.layers[i].output) print('\n

问题 I need to plot a complex function with phase information in MATLAB. To do this I have ploted a surf plot with x,y representing real and imaginary, the height representing the magnitude and colour depending on the phase, as shown below for the example of log(x): xmin=-5; xmax=5; dx=0.1; xReal = xmin:dx:xmax; xImaginary = xmin:dx:xmax; [x,y] = meshgrid(xReal, xImaginary); s = x + 1i*y; z=log(s); magnitude = abs(z1); Phase = angle(z); figure; h(1) = surf(x,y,magnitude,Phase,'EdgeColor','none');

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 6 years ago . I would like to try make software very similar to this - 123dapp.com/catch. I really would like to know the way how to achieve this in for example Visual Studio. If it is even possible. The reason I don`t want to use this software is because I would like to have a program that

问题 NetworkX is mostly for graph analysis, PyGraphviz mostly for drawing, and they're designed to work together. However, there's at least one respect in which NetworkX's graph drawing (via MatPlotLib) is superior to PyGraphviz's graph drawing (via Graphviz), namely that NetworkX has a spring layout algorithm (accessible via the spring_layout function) specifically for directed graphs while PyGraphviz has several spring layout algorithms (accessible via the neato program, and others) that lay out

问题 I have two sets of data, all in one data frame. The first set is related to data collected in Location 1 and the second set is collected in Location 2. Each location has different count data (column value ) for 5 months. # DataSet ----------------- rp_data <- structure(list(Month = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L