mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 15:57:18 +08:00
Lars Ruthotto
167 lines
6.1 KiB
Python
167 lines
6.1 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib
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from mpl_toolkits.mplot3d import Axes3D
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class TensorView(object):
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"""
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Provides viewing functions for TensorMesh
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This class is inherited by TensorMesh
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"""
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def __init__(self):
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pass
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def plotImage(self, I, imageType='CC', figNum=1,ax=None,direction='z',numbering=True):
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assert type(I) == np.ndarray, "I must be a numpy array"
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assert type(numbering) == bool, "numbering must be a bool"
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assert imageType in ["CC", "N"], "imageType must be 'CC' or 'N'"
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assert direction in ["x", "y","z"], "direction must be either x,y, or z"
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if imageType == 'CC':
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assert I.size == self.nC, "Incorrect dimensions for CC."
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elif imageType == 'N':
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assert I.size == self.nN, "Incorrect dimensions for N."
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if ax is None:
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fig = plt.figure(figNum)
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fig.clf()
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ax = plt.subplot(111)
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else:
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assert isinstance(ax,matplotlib.axes.Axes), "ax must be an Axes!"
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fig = ax.figure
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if self.dim == 1:
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if imageType == 'CC':
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ph = ax.plot(self.vectorCCx, I, '-ro')
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elif imageType == 'N':
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ph = ax.plot(self.vectorNx, I, '-bs')
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ax.set_xticks(self.vectorNx)
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ax.set_xlabel("x")
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ax.axis('tight')
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elif self.dim == 2:
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if imageType == 'CC':
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C = I[:].reshape(self.n, order='F')
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elif imageType == 'N':
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C = I[:].reshape(self.n+1, order='F')
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C = 0.25*(C[:-1, :-1] + C[1:, :-1] + C[:-1, 1:] + C[1:, 1:])
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ph = ax.pcolormesh(self.vectorNx, self.vectorNy, C.T)
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ax.axis('tight')
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ax.set_xlabel("x")
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ax.set_ylabel("y")
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ax.set_xticks(self.vectorNx)
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ax.set_yticks(self.vectorNy)
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elif self.dim == 3:
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if direction == 'z':
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nX = np.ceil(np.sqrt(self.nCz))
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nY = np.ceil(self.nCz/nX)
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C = np.zeros((nX*self.nCx, nY*self.nCy))
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Ic = I[:].reshape(self.n, order='F')
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nCx = self.nCx
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nCy = self.nCy
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for iy in range(int(nY)):
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for ix in range(int(nX)):
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iz = ix + iy*nX
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if iz < self.nCz:
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C[ix*nCx:(ix+1)*nCx, iy*nCy:(iy+1)*nCy] = Ic[:, :, iz]
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else:
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C[ix*nCx:(ix+1)*nCx, iy*nCy:(iy+1)*nCy] = np.nan
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C = np.ma.masked_where(np.isnan(C), C)
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xx = np.r_[0, np.cumsum(np.kron(np.ones((nX, 1)), self.hx).ravel())]
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yy = np.r_[0, np.cumsum(np.kron(np.ones((nY, 1)), self.hy).ravel())]
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ph = ax.pcolormesh(xx, yy, C.T)
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# Plot the lines
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gx = np.r_[0, np.cumsum(np.kron(np.ones((nX, 1)), np.sum(self.hy)).ravel())]
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gy = np.r_[0, np.cumsum(np.kron(np.ones((nY, 1)), np.sum(self.hx)).ravel())]
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# Repeat and seperate with NaN
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gxX = np.c_[gx, gx, gx+np.nan].ravel()
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gxY = np.kron(np.ones((nX+1, 1)), np.array([0, sum(self.hy)*nY, np.nan])).ravel()
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gyX = np.kron(np.ones((nY+1, 1)), np.array([0, sum(self.hx)*nX, np.nan])).ravel()
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gyY = np.c_[gy, gy, gy+np.nan].ravel()
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ax.plot(gxX, gxY, 'w-', linewidth=2)
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ax.plot(gyX, gyY, 'w-', linewidth=2)
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if numbering:
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pad = np.sum(self.hx)*0.04
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for iy in range(int(nY)):
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for ix in range(int(nX)):
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iz = ix + iy*nX
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ax.text((ix+1)*self.vectorNx[-1]-pad,(iy)*self.vectorNy[-1]+pad,
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'#%i'%iz,color='w',verticalalignment='bottom',horizontalalignment='right',size='x-large')
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fig.show()
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return ph
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def plotGrid(self):
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"""Plot the nodal, cell-centered and staggered grids for 1,2 and 3 dimensions."""
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if self.dim == 1:
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fig = plt.figure(1)
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fig.clf()
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ax = plt.subplot(111)
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xn = self.gridN
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xc = self.gridCC
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ax.hold(True)
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ax.plot(xn, np.ones(np.shape(xn)), 'bs')
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ax.plot(xc, np.ones(np.shape(xc)), 'ro')
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ax.plot(xn, np.ones(np.shape(xn)), 'k--')
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ax.grid(True)
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ax.hold(False)
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ax.set_xlabel('x1')
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fig.show()
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elif self.dim == 2:
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fig = plt.figure(2)
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fig.clf()
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ax = plt.subplot(111)
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xn = self.gridN
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xc = self.gridCC
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xs1 = self.gridFx
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xs2 = self.gridFy
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ax.hold(True)
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ax.plot(xn[:, 0], xn[:, 1], 'bs')
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ax.plot(xc[:, 0], xc[:, 1], 'ro')
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ax.plot(xs1[:, 0], xs1[:, 1], 'g>')
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ax.plot(xs2[:, 0], xs2[:, 1], 'g^')
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ax.grid(True)
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ax.hold(False)
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ax.set_xlabel('x1')
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ax.set_ylabel('x2')
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fig.show()
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elif self.dim == 3:
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fig = plt.figure(3)
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fig.clf()
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ax = fig.add_subplot(111, projection='3d')
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xn = self.gridN
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xc = self.gridCC
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xfs1 = self.gridFx
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xfs2 = self.gridFy
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xfs3 = self.gridFz
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xes1 = self.gridEx
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xes2 = self.gridEy
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xes3 = self.gridEz
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ax.hold(True)
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ax.plot(xn[:, 0], xn[:, 1], 'bs', zs=xn[:, 2])
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ax.plot(xc[:, 0], xc[:, 1], 'ro', zs=xc[:, 2])
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ax.plot(xfs1[:, 0], xfs1[:, 1], 'g>', zs=xfs1[:, 2])
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ax.plot(xfs2[:, 0], xfs2[:, 1], 'g<', zs=xfs2[:, 2])
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ax.plot(xfs3[:, 0], xfs3[:, 1], 'g^', zs=xfs3[:, 2])
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ax.plot(xes1[:, 0], xes1[:, 1], 'k>', zs=xes1[:, 2])
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ax.plot(xes2[:, 0], xes2[:, 1], 'k<', zs=xes2[:, 2])
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ax.plot(xes3[:, 0], xes3[:, 1], 'k^', zs=xes3[:, 2])
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ax.grid(True)
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ax.hold(False)
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ax.set_xlabel('x1')
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ax.set_ylabel('x2')
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ax.set_zlabel('x3')
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fig.show()
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