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### DCViz (with lazers) ### ... is a library developed by the wizard jorgen, written in Python using matplotlib and pyside (Qt). It is designed to work, not be pretty. And speaking of which, this is how it works: -Plots column data either --real time: Updates the plotwindow after a set refresh interval --not real time: Data is plotted! ### Example An example is located in the Example folder! Simply run 'Example.py' to generate 3 testcases and load the GUI. Press 'ctrl+s' and open the folder that pops up (the example folder). Choose a case from the dropdown and press play. ### Usage First of all, check the examplefiles -I have a file containing columndata called 'testcase2.dat', and I want to plot it! Howto: create a subclass of 'DCvizPlotter', with nametag set as 'testcase\d\.dat' (regex). Opened files will be set as instances of classes with a matching nametag, so: def myNewClass(dcv_sup): nametag = 'testcase\d\.dat' set a 'figMap' dictionary, representing how you want figures and subfigures set up, e.g. def myNewClass(dcv_sup): nametag = 'testcase\d\.dat' figMap = {'fig1': ['subfig1', 'subfig2'], 'fig2': ['subfig3'] ....} you will then have access to 'self.fig1', self.subfig1 etc. when you implement the virtual plot function: def myNewClass(dcv_sup): nametag = 'testcase\d\.dat' figureMap = {'fig1': ['subfig1', 'subfig2'], 'fig2': ['subfig3'] ....} def plot(self): fig1, subfig1, ... = self.fig1, self.subfig1, ... #Do all the plotting in the world to make your plots look nice. This function should work without a GUI, so simply test it by running c = myNewClass(somePathToTheFile, dynamic = True/False) #testcase2.dat file c.mainloop() #If dynamic is set true, you interrupt the loop with ctrl+c Ok I have done so, now I want to use the GUI! Allright, then simply start the DCVizGUI.main(masterDir) function with a chosen masterDir (the place all your open dialoges windows will 'look first'. Typically your run/scratch folder) Aviable hotkeys (also aviable from file/options menu): -ctrl+s : opens a dialogue window to set the path (and load files in this path) File detection is based on the nametag. It will be matched with a subclass of dcv_sup (see prev section) -ctrl+o : opens a single file as above -ctrl+r : reloads the config file -ctrl+c : display the config file The config (located in the GUI folder): you can set the delay time (also setable from the slider in the GUI) you can silence warnings, and also all terminal output if you want to Ok I loaded some files, what now? The dropdown menu should be selectable; choose your file and press play! The rest should be intuitive! Cheers!
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Dynamic Column data Vizualizer (wIth laZers)
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