visualization

问题 I have created LSTM based training model: def load_data_old(df_, seq_len): data_raw = df_.values data = [] for index in range(len(data_raw) - seq_len): data.append(data_raw[index: index + seq_len]) data = np.array(data); valid_set_size = int(np.round(valid_set_size_percentage/100*data.shape[0])); test_set_size = int(np.round(test_set_size_percentage/100*data.shape[0])); train_set_size = data.shape[0] - (valid_set_size + test_set_size); x_train = data[:train_set_size,:-1,:-1] y_train = data[

问题 I need to load multiple scenes with option to switch them. Something like on the image: For button "1" something like mlab.points3d(x1, y1, z1, s1, color=blue) For button "2" something like mlab.points3d(x2, y2, z2, s2, color=red) For button "3" something like mlab.points3d(x3, y3, z3, s3, color=green) How to manage drawing inside another scene? (I suppose that mlab.points3d should be done before option to switch between scenes). And how to define buttons for scheme switching? 回答1: Here is an

问题 I need to create a vertical "Timeline" chart with increments of 1 hour, 30 min, 15 min, or 5 min. The functionality is similar to Outlook or a 'Day-View' Scheduler, where appointments are placed as boxes on a timeline. I considered the following but there were problems as below: Google Visualization, Vis.JS - horizontal timeline only, vertical not supported jQuery FullCalendar.io, DayPilot - some features only available in a Premium version that costs $500. FullCalendar: DayTimeline View is

问题 I'm trying to visualize a space time cube. As a reference I take this image I found on google: http://www.intechopen.com/source/html/38305/media/image7.jpeg . Actually I managed to do it but there is a weird bug as soon as I start to use a texture for the bottom of the cube (which is a plane in my case). The things that are just above the plane are some how not always visible and the image is sometimes distorted. It is hard to explain so you might check the jfiddle out I created: http:/

问题 I am looking for methods to allow transposing my jTable on my UI. It could be by clicking a button or other action. My main question is how should I build the data model(abstractTableModel) for such purpose? And is there any ready-to-use method support such transposing in Java? 回答1: If you're talking about rows/column inversion, it is fairly simple in Swing: Create your normal table model class representing columns and rows. Create your inverted table model class which is a wrapper around

问题 I want to generate a scatter graph using matlibplot.pyplot and a lot of points are duplicate. So when I simply draw a graph use pyplot.scatter method, many points are overdrawn on one dot. In order to consider the number of points on that position, I think I need to set a different point size, like a bigger circle if the spot contains more data points. Can someone give me a pointer on how to do this? Thanks! 回答1: The easiest way to do this is to set a low alpha , and then when the points plot

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 4 years ago . I try to visualise the difference between two histograms of distribution functions such as the difference in following two curves : When the difference is big, you could just plot two curves on top of each other and fill the difference as denoted above, though when the

问题 I have a seaborn count plot, but instead of colour bars I need the value above each bar. My input is pandas data frame. ax = sns.countplot(x="variable", hue="value", data=pd.melt(dfs)) here dfs has many entries for different columns. For example, here "man" above the blue bar, "woman" above the brown bar and "child" above the green bar instead of the colour description. 回答1: Sometimes it's easier to not try to find ways to tweak seaborn, but rather to directly use matplotlib and build a chart

问题 Using Gephi, I'd like to visualize how members of different organizations are related. My source material basically consists of a list of organizations and their members: Organization 1 Individual 1 Individual 2 Individual 3 Individual 4 Organization 2 Individual 5 Individual 1 Individual 6 Individual 7 Sometimes an individual shows up in different organizations (i.e. Individual 1 in this example). Questions: 1) How should I convert this information into edges so that the relationship between

问题 I am trying to get a D3JS histogram working with an ordinal scale (in this case, student grade symbols (A+, A, B ... F). Here is a minimum working example: <!DOCTYPE html> <meta charset="utf-8"> <body> <script src="http://d3js.org/d3.v3.min.js"></script> <script> var studentSymbols = ["F", "E", "D", "C", "C", "C", "C", "B", "B", "A", "A+"]; var x = d3.scale.ordinal() .domain(["F", "E", "D", "C", "B", "A", "A+"]) .rangeRoundBands([0, width]); // Generate a histogram using twenty uniformly