Surface NMR processing and inversion GUI
選択できるのは25トピックまでです。 トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。

plotKernel.py 2.2KB

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  1. import matplotlib.pyplot as plt
  2. import sys,os
  3. from pylab import meshgrid
  4. from matplotlib.colors import LightSource
  5. from matplotlib.ticker import ScalarFormatter
  6. from matplotlib.ticker import MaxNLocator
  7. from matplotlib.ticker import AutoMinorLocator
  8. from matplotlib.ticker import LogLocator
  9. from matplotlib.ticker import FormatStrFormatter
  10. import numpy as np
  11. import yaml
  12. from akvo.tressel.lemma_yaml import *
  13. from akvo.tressel.SlidesPlot import *
  14. import cmocean
  15. def catLayers(K0):
  16. K = np.zeros( (len(K0.keys()), len(K0["layer-0"].data)) , dtype=complex )
  17. for lay in range(len(K0.keys())):
  18. #print(K0["layer-"+str(lay)].data) # print (lay)
  19. K[lay] = K0["layer-"+str(lay)].data # print (lay)
  20. return K
  21. if __name__ == "__main__":
  22. with open(sys.argv[1]) as f:
  23. # use safe_load instead load
  24. K0 = yaml.load(f, Loader=yaml.Loader)
  25. K = 1e9*catLayers(K0.K0)
  26. q = np.array(K0.PulseI.data)* (float)(K0.Taup)
  27. fig = plt.figure( figsize=(pc2in(20),pc2in(20)) )
  28. fig.add_axes((.2,.2,.65,.7))
  29. #plt.pcolor(K0.Interfaces.data, K0.PulseI.data, np.abs(K))
  30. #plt.pcolor(q, K0.Interfaces.data, np.abs(K), cmap=cmocean.cm.gray_r)
  31. #plt.contourf(q, K0.Interfaces.data[0:-1], np.abs(K), cmap=cmocean.cm.tempo)
  32. plt.pcolor(q, K0.Interfaces.data, np.abs(K), cmap=cmocean.cm.tempo)
  33. plt.colorbar(label=r"$\left| \overline{\mathcal{V}_N}(0) \right|$ (nV)")
  34. ax1 = plt.gca()
  35. ax1.set_ylim( ax1.get_ylim()[1], ax1.get_ylim()[0] )
  36. #ax1.set_xscale('log')
  37. #ax1.set_yscale('log')
  38. #ax1.xaxis.set_major_formatter(ScalarFormatter())
  39. ax1.set_xticks([ax1.get_xlim()[0], 1, ax1.get_xlim()[1],])
  40. ax1.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))
  41. #print(yaml.dump(K0.K0))
  42. #print( K0.K0["layer-0"].data )
  43. #print( type( np.array(K0.K0["layer-0"].data) ) )
  44. #plt.plot( np.real( K0.K0["layer-0"].data ) )
  45. #plt.plot( K0.K0["layer-0"].data )
  46. plt.gca().set_xlabel("q (A $\cdot$ s)")
  47. plt.gca().set_ylabel("depth (m)")
  48. plt.savefig("kernel.pdf")
  49. sound = np.sum(K, axis=0)
  50. plt.figure()
  51. plt.plot(q, np.abs(sound))
  52. plt.savefig("sound.pdf")
  53. plt.show()
  54. #print(yaml.dump(K0))