Added plotting utilities for viewing kernels

examples/plotkernel.py

@@ -0,0 +1,17 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import sys
+
+K = np.loadtxt(sys.argv[1], comments="#")
+nx, ny = np.shape(K)
+
+plt.matshow(K[0:nx//2])
+plt.colorbar()
+
+plt.matshow(K[nx//2:])
+plt.colorbar()
+
+KA = np.abs(K[0:nx//2] + 1j*K[nx//2:])
+plt.matshow(1e9*KA, cmap='viridis')
+plt.colorbar()
+plt.show()

examples/plotkerneldiff.py

@@ -0,0 +1,22 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import sys
+
+K1 = np.loadtxt(sys.argv[1], comments="#")
+K2 = np.loadtxt(sys.argv[2], comments="#")
+nx, ny = np.shape(K1)
+
+plt.matshow( K1[0:nx//2] - K2[0:nx//2] , cmap='inferno')
+plt.colorbar()
+
+plt.matshow( K1[nx//2:] - K2[nx//2] , cmap='inferno')
+plt.colorbar()
+
+KAc =   K1[0:nx//2]+1j*K1[nx//2:]
+KA2c =  K2[0:nx//2]+1j*K2[nx//2:]
+#              (K1[0:nx//2]+1j*K1[nx//2:]) )
+KD = np.abs(KAc) - np.abs(KA2c)
+
+plt.matshow(KD, cmap='RdBu', vmin=-np.max(np.abs(KD)), vmax=np.max(np.abs(KD)) )
+plt.colorbar()
+plt.show()