data-visualization

问题 I have been working through the tutorials on pyviz.org. specifically the dashboard one If I setup the example here: http://pyviz.org/tutorial/A2_Dashboard_Workflow.html The save icon in the bokeh plot appears to be disabled. If I click area zoom, wheel zoom,or the reset icon they behave as expected. But the save button does nothing. Is this intentional, able to be reset, or a bug on my side? Ben 回答1: This is a fundamental limitation of browsers, the issue is that the map tiles in the

问题 I have been working through the tutorials on pyviz.org. specifically the dashboard one If I setup the example here: http://pyviz.org/tutorial/A2_Dashboard_Workflow.html The save icon in the bokeh plot appears to be disabled. If I click area zoom, wheel zoom,or the reset icon they behave as expected. But the save button does nothing. Is this intentional, able to be reset, or a bug on my side? Ben 回答1: This is a fundamental limitation of browsers, the issue is that the map tiles in the

问题 I have a DataFrame (see 'Test Data' section below) and I would like to add a secondary x axis (at the top). But this axis has to be from 0 to 38.24(ms). This is the sum of all values in column 'Time'. It expresses the total time that the 4 inferences took to execute. So far I have tried 'twinx()' without success. How can I do that? Is it possible or am I lacking information? Test Data: raw_data = {'Time': [21.9235, 4.17876, 4.02168, 3.81504, 4.2972], 'TPU': [33.3, 33.3, 33.3, 33.3, 33.3],

问题 The bounty expires in 2 days . Answers to this question are eligible for a +50 reputation bounty. Noob wants to draw more attention to this question: Hello! I have created visual plots of a machine learning algorithm called kohonen networks/som (self organizing maps). I am trying to add visual labels (number from 1-100) on top of each "circle" on the visual outputs. I am also trying to use the plotly::ggplotly() function, so that the user can move their mouse over each circle and have the

问题 I apologize if this is an inappropriate question - I'm new to this site. I've got a line chart (which can be found here), and I want to be able to programmatically make it in Python. As you can see, it's a line graph without an incremented x-axis. There's boxes on the x-axis, each with a descriptor and a number. The point that is plotted is the aforementioned number associated with each column. I'm familiar with the visualization library Bokeh, but couldn't seem to come up with a good result.

问题 I'm trying to visualize some data in vtr format. For this purposes I've created a couple npy files by this library, then I've converted this files by PyEVTK into the vtr format (like in the lowlevel.py example). But when I'm trying to visualize this data by ParaView, an error appears: ERROR: In /var/tmp/portage/sci-visualization/paraview-4.0.1-r1/work/ParaView-v4.0.1-source/VTK/IO/XML/vtkXMLDataReader.cxx, line 510 vtkXMLRectilinearGridReader (0x36bb080): Cannot read point data array

问题 I'm using linecollection from matplotlib in order to create multi colored line similar to this example: http://matplotlib.org/examples/pylab_examples/multicolored_line.html but instead of using x and y both float types, I was wondering if its possible to create a line where x axis would be strings lets say: x= ['a','b','c','d','e','f','g','h','j','k'] . So every of those strings has a value for example y=np.arange(10) . So is plotting a multicolored line that connects those xy points using

问题 I am using seaborn.lineplot to generate some time series plots. I have pre-compute a specific kind of error bars in two lists, e.g., upper=[1,2,3,4,5] lower=[0,1,2,3,4] . Is there a way I could customize the error bar here, instead of using the CI or Std error bars in lineplot ? 回答1: If you want error bands/bars other than the ones that seaborn.lineplot offers, you have to plot them yourself. Here are a couple examples of how to draw an error band and error bars in matplotlib and get plots

问题 I am using seaborn.lineplot to generate some time series plots. I have pre-compute a specific kind of error bars in two lists, e.g., upper=[1,2,3,4,5] lower=[0,1,2,3,4] . Is there a way I could customize the error bar here, instead of using the CI or Std error bars in lineplot ? 回答1: If you want error bands/bars other than the ones that seaborn.lineplot offers, you have to plot them yourself. Here are a couple examples of how to draw an error band and error bars in matplotlib and get plots

问题 Just contextualizing, I work with psychometrics/psychological testing. I have a dataset formed of "points","percentile","z_real","z_normal","iq". I would like to have a single ggplot in which I could present the Z_score (from my raw data), the z_score (with an underlying normal distribution), and then have two supplementary x-axes with "raw score" and "iq scores". That's pretty common in statistics, as you can check it below This is the current plot This is the best solution I've got That's