import matplotlib.pyplot as plt import sys,os from pylab import meshgrid from matplotlib.colors import LightSource from matplotlib.ticker import ScalarFormatter from matplotlib.ticker import MaxNLocator from matplotlib.ticker import AutoMinorLocator from matplotlib.ticker import LogLocator from matplotlib.ticker import FormatStrFormatter import numpy as np import yaml from akvo.tressel.lemma_yaml import * from akvo.tressel.SlidesPlot import * import cmocean def catLayers(K0): K = np.zeros( (len(K0.keys()), len(K0["layer-0"].data)) , dtype=complex ) for lay in range(len(K0.keys())): #print(K0["layer-"+str(lay)].data) # print (lay) K[lay] = K0["layer-"+str(lay)].data # print (lay) return K if __name__ == "__main__": with open(sys.argv[1]) as f: # use safe_load instead load K0 = yaml.load(f, Loader=yaml.Loader) K = 1e9*catLayers(K0.K0) q = np.array(K0.PulseI.data)* (float)(K0.Taup) fig = plt.figure( figsize=(pc2in(20),pc2in(20)) ) fig.add_axes((.2,.2,.65,.7)) #plt.pcolor(K0.Interfaces.data, K0.PulseI.data, np.abs(K)) #plt.pcolor(q, K0.Interfaces.data, np.abs(K), cmap=cmocean.cm.gray_r) #plt.contourf(q, K0.Interfaces.data[0:-1], np.abs(K), cmap=cmocean.cm.tempo) plt.pcolor(q, K0.Interfaces.data, np.abs(K), cmap=cmocean.cm.tempo) plt.colorbar(label=r"$\left| \overline{\mathcal{V}_N}(0) \right|$ (nV)") ax1 = plt.gca() ax1.set_ylim( ax1.get_ylim()[1], ax1.get_ylim()[0] ) #ax1.set_xscale('log') #ax1.set_yscale('log') #ax1.xaxis.set_major_formatter(ScalarFormatter()) ax1.set_xticks([ax1.get_xlim()[0], 1, ax1.get_xlim()[1],]) ax1.xaxis.set_major_formatter(FormatStrFormatter('%.1f')) #print(yaml.dump(K0.K0)) #print( K0.K0["layer-0"].data ) #print( type( np.array(K0.K0["layer-0"].data) ) ) #plt.plot( np.real( K0.K0["layer-0"].data ) ) #plt.plot( K0.K0["layer-0"].data ) plt.gca().set_xlabel("q (A $\cdot$ s)") plt.gca().set_ylabel("depth (m)") plt.savefig("kernel.pdf") sound = np.sum(K, axis=0) plt.figure() plt.plot(q, np.abs(sound)) plt.savefig("sound.pdf") plt.show() #print(yaml.dump(K0))