| | |
|---|
| | | import matplotlib.pyplot as plt |
|---|
| | | from trisurf import VTKRendering as vtk |
|---|
| | | import math |
|---|
| | | from multiprocessing import Process |
|---|
| | | table=trisurf.Statistics(run.Dir.fullpath(),filename='data_tspoststat.csv').getTable() |
|---|
| | | def running_avg(col): |
|---|
| | | import numpy as np |
|---|
| | |
|---|
| | | for i in range(0,len(col)): |
|---|
| | | avg.append(np.average(col[:-i])) |
|---|
| | | return avg |
|---|
| | | def spawned_viewer(n): |
|---|
| | | vtk.Renderer(kwargs.get('args', None),kwargs.get('host',None),run, n) |
|---|
| | | |
|---|
| | | fig=plt.figure(1) |
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| | | ra=running_avg(table['hbar']) |
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| | | plt.plot(ra) |
|---|
| | |
|---|
| | | plt.xlabel('n') |
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| | | def onclick(event): |
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| | | print('button=%d, x=%d, y=%d, xdata=%f, ydata=%f' % (event.button, event.x, event.y, event.xdata, event.ydata)) |
|---|
| | | vtk.Renderer(kwargs.get('args', None),kwargs.get('host',None),run, math.floor(event.xdata)) |
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| | | p=Process(target=spawned_viewer, args=(math.floor(event.xdata)-1,)) |
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| | | p.start() |
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| | | cid = fig.canvas.mpl_connect('button_press_event', onclick) |
|---|
| | | plt.show() |
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| | | plt.close(1) |
|---|
