diff --git a/simpegPF/BaseMag.py b/simpegPF/BaseMag.py
index 2aacc9c4..c7519038 100644
--- a/simpegPF/BaseMag.py
+++ b/simpegPF/BaseMag.py
@@ -105,6 +105,54 @@ class BaseMagSurvey(Survey.BaseSurvey):
return np.r_[bfx, bfy, bfz]
+class LinearSurvey(Survey.BaseSurvey):
+ """Base Magnetics Survey"""
+
+ rxLoc = None #: receiver locations
+ rxType = None #: receiver type
+
+ def __init__(self, srcField, **kwargs):
+ self.srcField = srcField
+ Survey.BaseSurvey.__init__(self, **kwargs)
+
+ def eval(self, u):
+ return u
+
+ @property
+ def nD(self):
+ return self.prob.G.shape[0]
+
+ @property
+ def nRx(self):
+ return self.srcField.rxList[0].locs.shape[0]
+ # def setBackgroundField(self, SrcField):
+
+ # if getattr(self, 'B0', None) is None:
+ # self._B0 = SrcField.param[0] * dipazm_2_xyz(SrcField.param[1],SrcField.param[2])
+
+ # return self._B0
+
+class SrcField(Survey.BaseSrc):
+ """ Define the inducing field """
+
+ param = None #: Inducing field param (Amp, Incl, Decl)
+
+ def __init__(self, rxList, A, I, D, **kwargs):
+ self.param = (A,I,D)
+ super(SrcField, self).__init__(rxList, **kwargs)
+
+class RxObs(Survey.BaseRx):
+ """A station location must have be located in 3-D"""
+ def __init__(self, locsXYZ, **kwargs):
+ locs = locsXYZ
+ assert locsXYZ.shape[1] == 3, 'locs must in 3-D (x,y,z).'
+ super(RxObs, self).__init__(locs, 'tmi', storeProjections=False, **kwargs)
+
+ @property
+ def nD(self):
+ """Number of data in the receiver."""
+ return self.locs[0].shape[0]
+
class MagSurveyBx(object):
"""docstring for MagSurveyBx"""
def __init__(self, **kwargs):
@@ -144,352 +192,3 @@ class WeightMap(Maps.IdentityMap):
return Utils.sdiag(self.weight)
-
-
-def readUBCmagObs(obs_file):
-
- """
- Read and write UBC mag file format
-
- INPUT:
- :param fileName, path to the UBC obs mag file
-
- OUTPUT:
- :param dobs, observation in (x y z [data] [wd])
- :param B, primary field information (BI, BD, B0)
- :param M, magnetization orentiaton (MI, MD)
-
- """
-
- fid = open(obs_file,'r')
-
- # First line has the inclination,declination and amplitude of B0
- line = fid.readline()
- B = np.array(line.split(),dtype=float)
-
- # Second line has the magnetization orientation and a flag
- line = fid.readline()
- M = np.array(line.split(),dtype=float)
-
- # Third line has the number of rows
- line = fid.readline()
- ndat = np.array(line.split(),dtype=int)
-
- # Pre-allocate space for obsx, obsy, obsz, data, uncert
- line = fid.readline()
- temp = np.array(line.split(),dtype=float)
-
- dobs = np.zeros((ndat,len(temp)), dtype=float)
-
-
- for ii in range(ndat):
-
- dobs[ii,:] = np.array(line.split(),dtype=float)
- line = fid.readline()
-
- return B, M, dobs
-
-def read_MAGfwr_inp(input_file):
-
- """Read input files for forward modeling MAG data with integral form
- INPUT:
- input_file: File name containing the forward parameter
-
- OUTPUT:
- mshfile
- obsfile
- modfile
- magfile
- topofile
- # All files should be in the working directory, otherwise the path must
- # be specified.
-
- Created on Jul 17, 2013
-
- @author: dominiquef
- """
-
-
- fid = open(input_file,'r')
-
- line = fid.readline()
- l_input = line.split('!')
- mshfile = l_input[0].rstrip()
-
- line = fid.readline()
- l_input = line.split('!')
- obsfile = l_input[0].rstrip()
-
- line = fid.readline()
- l_input = line.split('!')
- modfile = l_input[0].rstrip()
-
- line = fid.readline()
- l_input = line.split('!')
- if l_input=='null':
- magfile = []
-
- else:
- magfile = l_input[0].rstrip()
-
-
- line = fid.readline()
- l_input = line.split('!')
- if l_input=='null':
- topofile = []
-
- else:
- topofile = l_input[0].rstrip()
-
- return mshfile, obsfile, modfile, magfile, topofile
-
-def read_MAGinv_inp(input_file):
- """Read input files for forward modeling MAG data with integral form
- INPUT:
- input_file: File name containing the forward parameter
-
- OUTPUT:
- mshfile
- obsfile
- topofile
- start model
- ref model
- mag model
- weightfile
- chi_target
- as, ax ,ay, az
- upper, lower bounds
- lp, lqx, lqy, lqz
-
- # All files should be in the working directory, otherwise the path must
- # be specified.
-
- Created on Dec 21th, 2015
-
- @author: dominiquef
- """
-
-
- fid = open(input_file,'r')
-
- # Line 1
- line = fid.readline()
- l_input = line.split('!')
- mshfile = l_input[0].rstrip()
-
- # Line 2
- line = fid.readline()
- l_input = line.split('!')
- obsfile = l_input[0].rstrip()
-
- # Line 3
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input=='null':
- topofile = []
-
- else:
- topofile = l_input[0].rstrip()
-
-
- # Line 4
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input[0]=='VALUE':
- mstart = float(l_input[1])
-
- else:
- mstart = l_input[0].rstrip()
-
- # Line 5
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input[0]=='VALUE':
- mref = float(l_input[1])
-
- else:
- mref = l_input[0].rstrip()
-
-
- # Line 6
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input=='DEFAULT':
- magfile = []
-
- else:
- magfile = l_input[0].rstrip()
-
- # Line 7
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input=='DEFAULT':
- wgtfile = []
-
- else:
- wgtfile = l_input[0].rstrip()
-
- # Line 8
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- chi = float(l_input[0])
-
- # Line 9
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- val = np.array(l_input[0:4])
- alphas = val.astype(np.float)
-
- # Line 10
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input[0]=='VALUE':
- val = np.array(l_input[1:3])
- bounds = val.astype(np.float)
-
- else:
- bounds = l_input[0].rstrip()
-
- # Line 11
- line = fid.readline()
- l_input = re.split('[!\s]',line)
- if l_input[0]=='VALUE':
- val = np.array(l_input[1:6])
- lpnorms = val.astype(np.float)
-
- else:
- lpnorms = l_input[0].rstrip()
-
- return mshfile, obsfile, topofile, mstart, mref, magfile, wgtfile, chi, alphas, bounds, lpnorms
-
-def read_GOCAD_ts(tsfile):
- """Read GOCAD triangulated surface (*.ts) file
- INPUT:
- tsfile: Triangulated surface
-
- OUTPUT:
- vrts : Array of vertices in XYZ coordinates [n x 3]
- trgl : Array of index for triangles [m x 3]. The order of the vertices
- is important and describes the normal
- n = cross( (P2 - P1 ) , (P3 - P1) )
-
-
- Created on Jan 13th, 2016
-
- Author: @fourndo
- """
-
-
- fid = open(tsfile,'r')
- line = fid.readline()
-
- # Skip all the lines until the vertices
- while re.match('TFACE',line)==None:
- line = fid.readline()
-
- line = fid.readline()
- vrtx = []
-
- # Run down all the vertices and save in array
- while re.match('VRTX',line):
- l_input = re.split('[\s*]',line)
- temp = np.array(l_input[2:5])
- vrtx.append(temp.astype(np.float))
-
- # Read next line
- line = fid.readline()
-
- vrtx = np.asarray(vrtx)
-
- # Skip lines to the triangles
- while re.match('TRGL',line)==None:
- line = fid.readline()
-
- # Run down the list of triangles
- trgl = []
-
- # Run down all the vertices and save in array
- while re.match('TRGL',line):
- l_input = re.split('[\s*]',line)
- temp = np.array(l_input[1:4])
- trgl.append(temp.astype(np.int))
-
- # Read next line
- line = fid.readline()
-
- trgl = np.asarray(trgl)
-
- return vrtx, trgl
-
-def gocad2vtk(gcFile,mesh,bcflag,inflag):
- """"
- Function to read gocad polystructure file and output indexes of mesh with in the structure.
-
- """
- import vtk, vtk.util.numpy_support as npsup
-
- print "Reading GOCAD ts file..."
- vrtx, trgl = read_GOCAD_ts(gcFile)
- # Adjust the index
- trgl = trgl - 1
-
- # Make vtk pts
- ptsvtk = vtk.vtkPoints()
- ptsvtk.SetData(npsup.numpy_to_vtk(vrtx,deep=1))
-
- # Make the polygon connection
- polys = vtk.vtkCellArray()
- for face in trgl:
- poly = vtk.vtkPolygon()
- poly.GetPointIds().SetNumberOfIds(len(face))
- for nrv, vert in enumerate(face):
- poly.GetPointIds().SetId(nrv,vert)
- polys.InsertNextCell(poly)
-
- # Make the polydata, structure of connections and vrtx
- polyData = vtk.vtkPolyData()
- polyData.SetPoints(ptsvtk)
- polyData.SetPolys(polys)
-
- # Make implicit func
- ImpDistFunc = vtk.vtkImplicitPolyDataDistance()
- ImpDistFunc.SetInput(polyData)
-
- # Convert the mesh
- vtkMesh = vtk.vtkRectilinearGrid()
- vtkMesh.SetDimensions(mesh.nNx,mesh.nNy,mesh.nNz)
- vtkMesh.SetXCoordinates(npsup.numpy_to_vtk(mesh.vectorNx,deep=1))
- vtkMesh.SetYCoordinates(npsup.numpy_to_vtk(mesh.vectorNy,deep=1))
- vtkMesh.SetZCoordinates(npsup.numpy_to_vtk(mesh.vectorNz,deep=1))
- # Add indexes
- vtkInd = npsup.numpy_to_vtk(np.arange(mesh.nC),deep=1)
- vtkInd.SetName('Index')
- vtkMesh.GetCellData().AddArray(vtkInd)
-
- extractImpDistRectGridFilt = vtk.vtkExtractGeometry() # Object constructor
- extractImpDistRectGridFilt.SetImplicitFunction(ImpDistFunc) #
- extractImpDistRectGridFilt.SetInputData(vtkMesh)
-
- if bcflag is True:
- extractImpDistRectGridFilt.ExtractBoundaryCellsOn()
-
- else:
- extractImpDistRectGridFilt.ExtractBoundaryCellsOff()
-
- if inflag is True:
- extractImpDistRectGridFilt.ExtractInsideOn()
-
- else:
- extractImpDistRectGridFilt.ExtractInsideOff()
-
- print "Extracting indices from grid..."
- # Executing the pipe
- extractImpDistRectGridFilt.Update()
-
- # Get index inside
- insideGrid = extractImpDistRectGridFilt.GetOutput()
- insideGrid = npsup.vtk_to_numpy(insideGrid.GetCellData().GetArray('Index'))
-
-
- # Return the indexes inside
- return insideGrid
\ No newline at end of file
diff --git a/simpegPF/Magnetics.py b/simpegPF/Magnetics.py
index efe91ce1..4caa384b 100644
--- a/simpegPF/Magnetics.py
+++ b/simpegPF/Magnetics.py
@@ -1,18 +1,43 @@
from SimPEG import *
-import BaseMag
+import BaseMag as MAG
from scipy.constants import mu_0
from MagAnalytics import spheremodel, CongruousMagBC
+import re
class MagneticIntegral(Problem.BaseProblem):
- surveyPair = Survey.LinearSurvey
+ #surveyPair = Survey.LinearSurvey
- def __init__(self, mesh, G, mapping=None, **kwargs):
+ storeG = True #: Store the forward matrix by default, otherwise just compute d
+ actInd = None #: Active cell indices provided
+ M = None #: Magnetization matrix provided, otherwise all induced
+ def __init__(self, mesh, mapping=None, **kwargs):
Problem.BaseProblem.__init__(self, mesh, mapping=mapping, **kwargs)
- self.G = G
+
+
+ def fwr_ind(self):
+ # Add forward function
+ # kappa = self.curModel.kappa TODO
+ kappa = self.mapping*self.curModel
+ return self.G.dot(kappa)
+
+ def fwr_rem(self):
+ #TODO check if we are inverting for M
+ return self.G.dot(self.mapping(m))
+
def fields(self, m):
-
- return self.G.dot(self.mapping*(m))
+ self.curModel = m
+ total = np.zeros(self.survey.nRx)
+ induced = self.fwr_ind()
+ # rem = self.rem
+
+ if induced is not None:
+ total += induced
+
+ return total
+
+
+ # return self.G.dot(self.mapping*(m))
def Jvec(self, m, v, u=None):
dmudm = self.mapping.deriv(m)
@@ -22,15 +47,171 @@ class MagneticIntegral(Problem.BaseProblem):
dmudm = self.mapping.deriv(m)
return dmudm.T * (self.G.T.dot(v))
+ @property
+ def G(self):
+ if not self.ispaired:
+ raise Exception('Need to pair!')
+ if getattr(self,'_G', None) is None:
+ self._G = self.Intrgl_Fwr_Op( 'ind' )
+
+
+ return self._G
+
+ # @property
+ # def Grem(self):
+ # if not self.ispaired:
+ # raise Exception('Need to pair!')
+
+ # if getattr(self,'_Grem', None) is None:
+ # self._Grem = Intrgl_Fwr_Op('full')
+
+
+ # return self._Grem
+
+ def Intrgl_Fwr_Op(self, flag):
+
+ """
+
+ Magnetic forward operator in integral form
+
+ flag = 'ind' | 'full'
+
+ 1- ind : Magnetization fixed by user
+
+ 3- full: Full tensor matrix stored with shape([3*ndata, 3*nc])
+
+ Return
+ _G = Linear forward modeling operation
+
+ Created on March, 13th 2016
+
+ @author: dominiquef
+
+ """
+ # Find non-zero cells
+ #inds = np.nonzero(actv)[0]
+ if getattr(self, 'actInd', None) is not None:
+ if self.actInd.dtype=='bool':
+ inds = np.asarray([inds for inds, elem in enumerate(self.actInd, 1) if elem], dtype = int) - 1
+ else:
+ inds = self.actInd
+
+
+
+ else:
+
+ inds = np.asarray(range(self.mesh.nC))
+
+ nC = len(inds)
+
+ # Create active cell projector
+ P = sp.csr_matrix((np.ones(nC),(inds, range(nC))),
+ shape=(self.mesh.nC, nC))
+
+
+
+
+ # Create vectors of nodal location (lower and upper coners for each cell)
+ xn = self.mesh.vectorNx;
+ yn = self.mesh.vectorNy;
+ zn = self.mesh.vectorNz;
+
+ yn2,xn2,zn2 = np.meshgrid(yn[1:], xn[1:], zn[1:])
+ yn1,xn1,zn1 = np.meshgrid(yn[0:-1], xn[0:-1], zn[0:-1])
+
+ Yn = P.T*np.c_[mkvc(yn1), mkvc(yn2)]
+ Xn = P.T*np.c_[mkvc(xn1), mkvc(xn2)]
+ Zn = P.T*np.c_[mkvc(zn1), mkvc(zn2)]
+
+ rxLoc = self.survey.srcField.rxList[0].locs
+ ndata = rxLoc.shape[0]
+
+ survey = self.survey
+
+ # Pre-allocate space and create magnetization matrix if required
+ if (flag=='ind'):
+
+ # # If assumes uniform magnetization direction
+ # if M.shape != (nC,3):
+
+ # print 'Magnetization vector must be Nc x 3'
+ # return
+ if getattr(self, 'M', None) is None:
+ M = dipazm_2_xyz(np.ones(nC) * survey.srcField.param[1],np.ones(nC) * survey.srcField.param[2])
+
+
+ Mx = Utils.sdiag(M[:,0]*survey.srcField.param[0])
+ My = Utils.sdiag(M[:,1]*survey.srcField.param[0])
+ Mz = Utils.sdiag(M[:,2]*survey.srcField.param[0])
+
+ Mxyz = sp.vstack((Mx,My,Mz))
+
+
+
+ if survey.srcField.rxList[0].rxType == 'tmi':
+ G = np.zeros((ndata, nC))
+
+ # Convert Bdecination from north to cartesian
+ D = (450.-float(survey.srcField.param[2]))%360.
+ I = survey.srcField.param[1]
+ # Projection matrix
+ Ptmi = mkvc(np.r_[np.cos(np.deg2rad(I))*np.cos(np.deg2rad(D)),
+ np.cos(np.deg2rad(I))*np.sin(np.deg2rad(D)),
+ np.sin(np.deg2rad(I))],2).T;
+
+ elif survey.srcField.rxList[0].rxType == 'xyz':
+
+ G = np.zeros((int(3*ndata), nC))
+
+ elif flag == 'full':
+ G = np.zeros((int(3*ndata), int(3*nC)))
+
+
+ else:
+ print """Flag must be either 'tmi' | 'xyz' | 'full', please revised"""
+ return
+
+
+ # Loop through all observations and create forward operator (ndata-by-nC)
+ print "Begin calculation of forward operator: " + flag
+
+ # Add counter to dsiplay progress. Good for large problems
+ count = -1;
+ for ii in range(ndata):
+
+
+ tx, ty, tz = get_T_mat(Xn,Yn,Zn,rxLoc[ii,:])
+ if flag == 'ind':
+
+ if survey.srcField.rxList[0].rxType =='tmi':
+ G[ii,:] = Ptmi.dot(np.vstack((tx,ty,tz)))*Mxyz
+
+ elif survey.srcField.rxList[0].rxType =='xyz':
+ G[ii,:] = tx*Mxyz
+ G[ii+ndata,:] = ty*Mxyz
+ G[ii+2*ndata,:] = tz*Mxyz
+
+ elif flag == 'full':
+ G[ii,:] = tx
+ G[ii+ndata,:] = ty
+ G[ii+2*ndata,:] = tz
+
+
+ # Display progress
+ count = progress(ii,count,ndata)
+
+ print "Done 100% ...forward operator completed!!\n"
+
+ return G
class MagneticsDiffSecondary(Problem.BaseProblem):
"""
Secondary field approach using differential equations!
"""
- surveyPair = BaseMag.BaseMagSurvey
- modelPair = BaseMag.BaseMagMap
+ surveyPair = MAG.BaseMagSurvey
+ modelPair = MAG.BaseMagMap
def __init__(self, model, mapping=None, **kwargs):
Problem.BaseProblem.__init__(self, model, mapping=mapping, **kwargs)
@@ -823,9 +1004,9 @@ def dipazm_2_xyz(dip,azm_N):
M = np.zeros((nC,3))
# Modify azimuth from North to Cartesian-X
- azm_X = (450.- azm_N) % 360.
+ azm_X = (450.- np.asarray(azm_N)) % 360.
- D = np.deg2rad(dip)
+ D = np.deg2rad(np.asarray(dip))
I = np.deg2rad(azm_X)
M[:,0] = np.cos(D) * np.cos(I) ;
@@ -926,7 +1107,7 @@ def get_dist_wgt(mesh,rxLoc,actv,R,R0):
return wr
-def writeUBCobs(filename,B,M,rxLoc,d,wd):
+def writeUBCobs(filename,survey,d):
"""
writeUBCobs(filename,B,M,rxLoc,d,wd)
@@ -934,11 +1115,8 @@ def writeUBCobs(filename,B,M,rxLoc,d,wd):
INPUT
filename : Name of out file including directory
- B : Inducing field parameters [Inc, Decl, Intensity]
- M : Magnetization orientation [Inc, Decl, dtype]
- rxLoc : Observation locations [obsx, obsy, obsz]
- d : Data vector
- wd : Uncertainty vector
+ survey
+ flag : dobs | dpred
OUTPUT
Obsfile
@@ -948,11 +1126,17 @@ def writeUBCobs(filename,B,M,rxLoc,d,wd):
@author: dominiquef
"""
+ B = survey.srcField.param
+
+ rxLoc = survey.srcField.rxList[0].locs
+
+ wd = survey.std
+
data = np.c_[rxLoc , d , wd]
with file(filename,'w') as fid:
- fid.write('%6.2f %6.2f %6.2f\n' %(B[0], B[1], B[2]) )
- fid.write('%6.2f %6.2f %6.2f\n' %(M[0], M[1], 1) )
+ fid.write('%6.2f %6.2f %6.2f\n' %(B[2], B[1], B[0]) )
+ fid.write('%6.2f %6.2f %6.2f\n' %(B[2], B[1], 1) )
fid.write('%i\n' %len(d) )
np.savetxt(fid, data, fmt='%e',delimiter=' ',newline='\n')
@@ -1048,4 +1232,359 @@ def plot_obs_2D(rxLoc,d,wd,varstr):
plt.scatter(rxLoc[:,0],rxLoc[:,1], c=d, s=20)
plt.title(varstr)
plt.gca().set_aspect('equal', adjustable='box')
-
\ No newline at end of file
+
+def readUBCmagObs(obs_file):
+
+ """
+ Read and write UBC mag file format
+
+ INPUT:
+ :param fileName, path to the UBC obs mag file
+
+ OUTPUT:
+ :param survey
+ :param M, magnetization orentiaton (MI, MD)
+
+ """
+
+ fid = open(obs_file,'r')
+
+ # First line has the inclination,declination and amplitude of B0
+ line = fid.readline()
+ B = np.array(line.split(),dtype=float)
+
+ # Second line has the magnetization orientation and a flag
+ line = fid.readline()
+ M = np.array(line.split(),dtype=float)
+
+ # Third line has the number of rows
+ line = fid.readline()
+ ndat = np.array(line.split(),dtype=int)
+
+ # Pre-allocate space for obsx, obsy, obsz, data, uncert
+ line = fid.readline()
+ temp = np.array(line.split(),dtype=float)
+
+ d = np.zeros(ndat, dtype=float)
+ wd = np.zeros(ndat, dtype=float)
+ locXYZ = np.zeros( (ndat,3), dtype=float)
+
+ for ii in range(ndat):
+
+ temp = np.array(line.split(),dtype=float)
+ locXYZ[ii,:] = temp[:3]
+ d[ii] = temp[3]
+ wd[ii] = temp[4]
+ line = fid.readline()
+
+ rxLoc = MAG.RxObs(locXYZ)
+ srcField = MAG.SrcField([rxLoc],B[2],B[0],B[1])
+ survey = MAG.LinearSurvey(srcField)
+ survey.dobs = d
+ survey.std = wd
+ return survey
+
+def read_MAGfwr_inp(input_file):
+
+ """Read input files for forward modeling MAG data with integral form
+ INPUT:
+ input_file: File name containing the forward parameter
+
+ OUTPUT:
+ mshfile
+ obsfile
+ modfile
+ magfile
+ topofile
+ # All files should be in the working directory, otherwise the path must
+ # be specified.
+
+ Created on Jul 17, 2013
+
+ @author: dominiquef
+ """
+
+
+ fid = open(input_file,'r')
+
+ line = fid.readline()
+ l_input = line.split('!')
+ mshfile = l_input[0].rstrip()
+
+ line = fid.readline()
+ l_input = line.split('!')
+ obsfile = l_input[0].rstrip()
+
+ line = fid.readline()
+ l_input = line.split('!')
+ modfile = l_input[0].rstrip()
+
+ line = fid.readline()
+ l_input = line.split('!')
+ if l_input=='null':
+ magfile = []
+
+ else:
+ magfile = l_input[0].rstrip()
+
+
+ line = fid.readline()
+ l_input = line.split('!')
+ if l_input=='null':
+ topofile = []
+
+ else:
+ topofile = l_input[0].rstrip()
+
+ return mshfile, obsfile, modfile, magfile, topofile
+
+def read_MAGinv_inp(input_file):
+ """Read input files for forward modeling MAG data with integral form
+ INPUT:
+ input_file: File name containing the forward parameter
+
+ OUTPUT:
+ mshfile
+ obsfile
+ topofile
+ start model
+ ref model
+ mag model
+ weightfile
+ chi_target
+ as, ax ,ay, az
+ upper, lower bounds
+ lp, lqx, lqy, lqz
+
+ # All files should be in the working directory, otherwise the path must
+ # be specified.
+
+ Created on Dec 21th, 2015
+
+ @author: dominiquef
+ """
+
+
+ fid = open(input_file,'r')
+
+ # Line 1
+ line = fid.readline()
+ l_input = line.split('!')
+ mshfile = l_input[0].rstrip()
+
+ # Line 2
+ line = fid.readline()
+ l_input = line.split('!')
+ obsfile = l_input[0].rstrip()
+
+ # Line 3
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input=='null':
+ topofile = []
+
+ else:
+ topofile = l_input[0].rstrip()
+
+
+ # Line 4
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input[0]=='VALUE':
+ mstart = float(l_input[1])
+
+ else:
+ mstart = l_input[0].rstrip()
+
+ # Line 5
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input[0]=='VALUE':
+ mref = float(l_input[1])
+
+ else:
+ mref = l_input[0].rstrip()
+
+
+ # Line 6
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input=='DEFAULT':
+ magfile = []
+
+ else:
+ magfile = l_input[0].rstrip()
+
+ # Line 7
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input=='DEFAULT':
+ wgtfile = []
+
+ else:
+ wgtfile = l_input[0].rstrip()
+
+ # Line 8
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ chi = float(l_input[0])
+
+ # Line 9
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ val = np.array(l_input[0:4])
+ alphas = val.astype(np.float)
+
+ # Line 10
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input[0]=='VALUE':
+ val = np.array(l_input[1:3])
+ bounds = val.astype(np.float)
+
+ else:
+ bounds = l_input[0].rstrip()
+
+ # Line 11
+ line = fid.readline()
+ l_input = re.split('[!\s]',line)
+ if l_input[0]=='VALUE':
+ val = np.array(l_input[1:6])
+ lpnorms = val.astype(np.float)
+
+ else:
+ lpnorms = l_input[0].rstrip()
+
+ return mshfile, obsfile, topofile, mstart, mref, magfile, wgtfile, chi, alphas, bounds, lpnorms
+
+def read_GOCAD_ts(tsfile):
+ """Read GOCAD triangulated surface (*.ts) file
+ INPUT:
+ tsfile: Triangulated surface
+
+ OUTPUT:
+ vrts : Array of vertices in XYZ coordinates [n x 3]
+ trgl : Array of index for triangles [m x 3]. The order of the vertices
+ is important and describes the normal
+ n = cross( (P2 - P1 ) , (P3 - P1) )
+
+
+ Created on Jan 13th, 2016
+
+ Author: @fourndo
+ """
+
+
+ fid = open(tsfile,'r')
+ line = fid.readline()
+
+ # Skip all the lines until the vertices
+ while re.match('TFACE',line)==None:
+ line = fid.readline()
+
+ line = fid.readline()
+ vrtx = []
+
+ # Run down all the vertices and save in array
+ while re.match('VRTX',line):
+ l_input = re.split('[\s*]',line)
+ temp = np.array(l_input[2:5])
+ vrtx.append(temp.astype(np.float))
+
+ # Read next line
+ line = fid.readline()
+
+ vrtx = np.asarray(vrtx)
+
+ # Skip lines to the triangles
+ while re.match('TRGL',line)==None:
+ line = fid.readline()
+
+ # Run down the list of triangles
+ trgl = []
+
+ # Run down all the vertices and save in array
+ while re.match('TRGL',line):
+ l_input = re.split('[\s*]',line)
+ temp = np.array(l_input[1:4])
+ trgl.append(temp.astype(np.int))
+
+ # Read next line
+ line = fid.readline()
+
+ trgl = np.asarray(trgl)
+
+ return vrtx, trgl
+
+def gocad2vtk(gcFile,mesh,bcflag,inflag):
+ """"
+ Function to read gocad polystructure file and output indexes of mesh with in the structure.
+
+ """
+ import vtk, vtk.util.numpy_support as npsup
+
+ print "Reading GOCAD ts file..."
+ vrtx, trgl = read_GOCAD_ts(gcFile)
+ # Adjust the index
+ trgl = trgl - 1
+
+ # Make vtk pts
+ ptsvtk = vtk.vtkPoints()
+ ptsvtk.SetData(npsup.numpy_to_vtk(vrtx,deep=1))
+
+ # Make the polygon connection
+ polys = vtk.vtkCellArray()
+ for face in trgl:
+ poly = vtk.vtkPolygon()
+ poly.GetPointIds().SetNumberOfIds(len(face))
+ for nrv, vert in enumerate(face):
+ poly.GetPointIds().SetId(nrv,vert)
+ polys.InsertNextCell(poly)
+
+ # Make the polydata, structure of connections and vrtx
+ polyData = vtk.vtkPolyData()
+ polyData.SetPoints(ptsvtk)
+ polyData.SetPolys(polys)
+
+ # Make implicit func
+ ImpDistFunc = vtk.vtkImplicitPolyDataDistance()
+ ImpDistFunc.SetInput(polyData)
+
+ # Convert the mesh
+ vtkMesh = vtk.vtkRectilinearGrid()
+ vtkMesh.SetDimensions(mesh.nNx,mesh.nNy,mesh.nNz)
+ vtkMesh.SetXCoordinates(npsup.numpy_to_vtk(mesh.vectorNx,deep=1))
+ vtkMesh.SetYCoordinates(npsup.numpy_to_vtk(mesh.vectorNy,deep=1))
+ vtkMesh.SetZCoordinates(npsup.numpy_to_vtk(mesh.vectorNz,deep=1))
+ # Add indexes
+ vtkInd = npsup.numpy_to_vtk(np.arange(mesh.nC),deep=1)
+ vtkInd.SetName('Index')
+ vtkMesh.GetCellData().AddArray(vtkInd)
+
+ extractImpDistRectGridFilt = vtk.vtkExtractGeometry() # Object constructor
+ extractImpDistRectGridFilt.SetImplicitFunction(ImpDistFunc) #
+ extractImpDistRectGridFilt.SetInputData(vtkMesh)
+
+ if bcflag is True:
+ extractImpDistRectGridFilt.ExtractBoundaryCellsOn()
+
+ else:
+ extractImpDistRectGridFilt.ExtractBoundaryCellsOff()
+
+ if inflag is True:
+ extractImpDistRectGridFilt.ExtractInsideOn()
+
+ else:
+ extractImpDistRectGridFilt.ExtractInsideOff()
+
+ print "Extracting indices from grid..."
+ # Executing the pipe
+ extractImpDistRectGridFilt.Update()
+
+ # Get index inside
+ insideGrid = extractImpDistRectGridFilt.GetOutput()
+ insideGrid = npsup.vtk_to_numpy(insideGrid.GetCellData().GetArray('Index'))
+
+
+ # Return the indexes inside
+ return insideGrid
\ No newline at end of file
diff --git a/simpegPF/notebooks/SimPEG Tutorial - MAG Linear Problem.ipynb b/simpegPF/notebooks/SimPEG Tutorial - MAG Linear Problem.ipynb
index 0abe8ef6..169b3cfc 100644
--- a/simpegPF/notebooks/SimPEG Tutorial - MAG Linear Problem.ipynb
+++ b/simpegPF/notebooks/SimPEG Tutorial - MAG Linear Problem.ipynb
@@ -43,7 +43,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 4,
"metadata": {
"collapsed": false
},
@@ -53,19 +53,15 @@
"output_type": "stream",
"text": [
"Using matplotlib backend: nbAgg\n",
- "Populating the interactive namespace from numpy and matplotlib\n",
- "Efficiency Warning: Interpolation will be slow, use setup.py!\n",
- "\n",
- " python setup.py build_ext --inplace\n",
- " \n"
+ "Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "C:\\Users\\dominiquef.MIRAGEOSCIENCE\\AppData\\Local\\Continuum\\Anaconda\\lib\\site-packages\\IPython\\kernel\\__init__.py:13: ShimWarning: The `IPython.kernel` package has been deprecated. You should import from ipykernel or jupyter_client instead.\n",
- " \"You should import from ipykernel or jupyter_client instead.\", ShimWarning)\n"
+ "WARNING: pylab import has clobbered these variables: ['linalg']\n",
+ "`%matplotlib` prevents importing * from pylab and numpy\n"
]
}
],
@@ -78,7 +74,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": true
@@ -168,7 +164,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 6,
"metadata": {
"collapsed": false
},
@@ -205,7 +201,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 7,
"metadata": {
"collapsed": false
},
@@ -992,903 +988,6 @@
"plt.gca().set_aspect('equal', adjustable='box')"
]
},
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
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- "window.mpl = {};\n",
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- " return WebSocket;\n",
- " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
- " return MozWebSocket;\n",
- " } else {\n",
- " alert('Your browser does not have WebSocket support.' +\n",
- " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
- " 'Firefox 4 and 5 are also supported but you ' +\n",
- " 'have to enable WebSockets in about:config.');\n",
- " };\n",
- "}\n",
- "\n",
- "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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- " if (warnings) {\n",
- " warnings.style.display = 'block';\n",
- " warnings.textContent = (\n",
- " \"This browser does not support binary websocket messages. \" +\n",
- " \"Performance may be slow.\");\n",
- " }\n",
- " }\n",
- "\n",
- " this.imageObj = new Image();\n",
- "\n",
- " this.context = undefined;\n",
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- " this.rubberband_context = undefined;\n",
- " this.format_dropdown = undefined;\n",
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- " this.image_mode = 'full';\n",
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- " this.root = $('
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- " this.root.attr('style', 'display: inline-block');\n",
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- " var titlebar = $(\n",
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- " '');\n",
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- " this.root.append(titlebar);\n",
- " this.header = titletext[0];\n",
- "}\n",
- "\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
- "\n",
- "}\n",
- "\n",
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- "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
- "\n",
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- " this.root.append(canvas_div);\n",
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- " canvas.addClass('mpl-canvas');\n",
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- " 'ui-button-icon-only');\n",
- " button.attr('role', 'button');\n",
- " button.attr('aria-disabled', 'false');\n",
- " button.click(method_name, toolbar_event);\n",
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- " fig.send_message(\"refresh\", {});\n",
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- "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
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- " var x1 = msg['x1'];\n",
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- " x0 = Math.floor(x0) + 0.5;\n",
- " y0 = Math.floor(y0) + 0.5;\n",
- " x1 = Math.floor(x1) + 0.5;\n",
- " y1 = Math.floor(y1) + 0.5;\n",
- " var min_x = Math.min(x0, x1);\n",
- " var min_y = Math.min(y0, y1);\n",
- " var width = Math.abs(x1 - x0);\n",
- " var height = Math.abs(y1 - y0);\n",
- "\n",
- " fig.rubberband_context.clearRect(\n",
- " 0, 0, fig.canvas.width, fig.canvas.height);\n",
- "\n",
- " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
- " // Updates the figure title.\n",
- " fig.header.textContent = msg['label'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
- " var cursor = msg['cursor'];\n",
- " switch(cursor)\n",
- " {\n",
- " case 0:\n",
- " cursor = 'pointer';\n",
- " break;\n",
- " case 1:\n",
- " cursor = 'default';\n",
- " break;\n",
- " case 2:\n",
- " cursor = 'crosshair';\n",
- " break;\n",
- " case 3:\n",
- " cursor = 'move';\n",
- " break;\n",
- " }\n",
- " fig.rubberband_canvas.style.cursor = cursor;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
- " fig.message.textContent = msg['message'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
- " // Request the server to send over a new figure.\n",
- " fig.send_draw_message();\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
- " fig.image_mode = msg['mode'];\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function() {\n",
- " // Called whenever the canvas gets updated.\n",
- " this.send_message(\"ack\", {});\n",
- "}\n",
- "\n",
- "// A function to construct a web socket function for onmessage handling.\n",
- "// Called in the figure constructor.\n",
- "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
- " return function socket_on_message(evt) {\n",
- " if (evt.data instanceof Blob) {\n",
- " /* FIXME: We get \"Resource interpreted as Image but\n",
- " * transferred with MIME type text/plain:\" errors on\n",
- " * Chrome. But how to set the MIME type? It doesn't seem\n",
- " * to be part of the websocket stream */\n",
- " evt.data.type = \"image/png\";\n",
- "\n",
- " /* Free the memory for the previous frames */\n",
- " if (fig.imageObj.src) {\n",
- " (window.URL || window.webkitURL).revokeObjectURL(\n",
- " fig.imageObj.src);\n",
- " }\n",
- "\n",
- " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
- " evt.data);\n",
- " fig.updated_canvas_event();\n",
- " return;\n",
- " }\n",
- " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
- " fig.imageObj.src = evt.data;\n",
- " fig.updated_canvas_event();\n",
- " return;\n",
- " }\n",
- "\n",
- " var msg = JSON.parse(evt.data);\n",
- " var msg_type = msg['type'];\n",
- "\n",
- " // Call the \"handle_{type}\" callback, which takes\n",
- " // the figure and JSON message as its only arguments.\n",
- " try {\n",
- " var callback = fig[\"handle_\" + msg_type];\n",
- " } catch (e) {\n",
- " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
- " return;\n",
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- " }\n",
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- "}\n",
- "\n",
- "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
- "mpl.findpos = function(e) {\n",
- " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
- " var targ;\n",
- " if (!e)\n",
- " e = window.event;\n",
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- " var y = e.pageY - $(targ).offset().top;\n",
- "\n",
- " return {\"x\": x, \"y\": y};\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.mouse_event = function(event, name) {\n",
- " var canvas_pos = mpl.findpos(event)\n",
- "\n",
- " if (name === 'button_press')\n",
- " {\n",
- " this.canvas.focus();\n",
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- " }\n",
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- " var x = canvas_pos.x;\n",
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- " step: event.step});\n",
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- " * the text insertion cursor when the button is pressed. We want\n",
- " * to control all of the cursor setting manually through the\n",
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- " event.preventDefault();\n",
- " return false;\n",
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- "}\n",
- "\n",
- "mpl.figure.prototype.key_event = function(event, name) {\n",
- "\n",
- " // Prevent repeat events\n",
- " if (name == 'key_press')\n",
- " {\n",
- " if (event.which === this._key)\n",
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- "\n",
- " var value = '';\n",
- " if (event.ctrlKey && event.which != 17)\n",
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- " if (event.shiftKey && event.which != 16)\n",
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- " value += 'k';\n",
- " value += event.which.toString();\n",
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- "\n",
- " this.send_message(name, {key: value});\n",
- " return false;\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
- " if (name == 'download') {\n",
- " this.handle_save(this, null);\n",
- " } else {\n",
- " this.send_message(\"toolbar_button\", {name: name});\n",
- " }\n",
- "};\n",
- "\n",
- "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
- " this.message.textContent = tooltip;\n",
- "};\n",
- "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
- "\n",
- "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
- "\n",
- "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
- " // Create a \"websocket\"-like object which calls the given IPython comm\n",
- " // object with the appropriate methods. Currently this is a non binary\n",
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- " // Register the callback with on_msg.\n",
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- " //console.log('receiving', msg['content']['data'], msg);\n",
- " // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
- " ws.onmessage(msg['content']['data'])\n",
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- " return ws;\n",
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- "\n",
- " var id = msg.content.data.id;\n",
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- " // socket was opened in Python.\n",
- " var element = $(\"#\" + id);\n",
- " var ws_proxy = comm_websocket_adapter(comm)\n",
- "\n",
- " function ondownload(figure, format) {\n",
- " window.open(figure.imageObj.src);\n",
- " }\n",
- "\n",
- " var fig = new mpl.figure(id, ws_proxy,\n",
- " ondownload,\n",
- " element.get(0));\n",
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- " ws_proxy.onopen();\n",
- "\n",
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- " // Turn the data on the canvas into data in the output cell.\n",
- " var dataURL = this.canvas.toDataURL();\n",
- " this.cell_info[1]['text/html'] = '
';\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.updated_canvas_event = function() {\n",
- " // Tell IPython that the notebook contents must change.\n",
- " IPython.notebook.set_dirty(true);\n",
- " this.send_message(\"ack\", {});\n",
- " var fig = this;\n",
- " // Wait a second, then push the new image to the DOM so\n",
- " // that it is saved nicely (might be nice to debounce this).\n",
- " setTimeout(function () { fig.push_to_output() }, 1000);\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._init_toolbar = function() {\n",
- " var fig = this;\n",
- "\n",
- " var nav_element = $('')\n",
- " nav_element.attr('style', 'width: 100%');\n",
- " this.root.append(nav_element);\n",
- "\n",
- " // Define a callback function for later on.\n",
- " function toolbar_event(event) {\n",
- " return fig.toolbar_button_onclick(event['data']);\n",
- " }\n",
- " function toolbar_mouse_event(event) {\n",
- " return fig.toolbar_button_onmouseover(event['data']);\n",
- " }\n",
- "\n",
- " for(var toolbar_ind in mpl.toolbar_items){\n",
- " var name = mpl.toolbar_items[toolbar_ind][0];\n",
- " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
- " var image = mpl.toolbar_items[toolbar_ind][2];\n",
- " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
- "\n",
- " if (!name) { continue; };\n",
- "\n",
- " var button = $('');\n",
- " button.click(method_name, toolbar_event);\n",
- " button.mouseover(tooltip, toolbar_mouse_event);\n",
- " nav_element.append(button);\n",
- " }\n",
- "\n",
- " // Add the status bar.\n",
- " var status_bar = $('');\n",
- " nav_element.append(status_bar);\n",
- " this.message = status_bar[0];\n",
- "\n",
- " // Add the close button to the window.\n",
- " var buttongrp = $('');\n",
- " var button = $('');\n",
- " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
- " button.mouseover('Close figure', toolbar_mouse_event);\n",
- " buttongrp.append(button);\n",
- " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
- " titlebar.prepend(buttongrp);\n",
- "}\n",
- "\n",
- "\n",
- "mpl.figure.prototype._canvas_extra_style = function(el){\n",
- " // this is important to make the div 'focusable\n",
- " el.attr('tabindex', 0)\n",
- " // reach out to IPython and tell the keyboard manager to turn it's self\n",
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- " if (IPython.notebook.keyboard_manager) {\n",
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- " // location in version 2\n",
- " IPython.keyboard_manager.register_events(el);\n",
- " }\n",
- "\n",
- "}\n",
- "\n",
- "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
- " var manager = IPython.notebook.keyboard_manager;\n",
- " if (!manager)\n",
- " manager = IPython.keyboard_manager;\n",
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- " // Check for shift+enter\n",
- " if (event.shiftKey && event.which == 13) {\n",
- " this.canvas_div.blur();\n",
- " event.shiftKey = false;\n",
- " // Send a \"J\" for go to next cell\n",
- " event.which = 74;\n",
- " event.keyCode = 74;\n",
- " manager.command_mode();\n",
- " manager.handle_keydown(event);\n",
- " }\n",
- "}\n",
- "\n",
- "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
- " fig.ondownload(fig, null);\n",
- "}\n",
- "\n",
- "\n",
- "mpl.find_output_cell = function(html_output) {\n",
- " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
- " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
- " // IPython event is triggered only after the cells have been serialised, which for\n",
- " // our purposes (turning an active figure into a static one), is too late.\n",
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- " }\n",
- " if (data['text/html'] == html_output) {\n",
- " return [cell, data, j];\n",
- " }\n",
- " }\n",
- " }\n",
- " }\n",
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- "\n",
- "// Register the function which deals with the matplotlib target/channel.\n",
- "// The kernel may be null if the page has been refreshed.\n",
- "if (IPython.notebook.kernel != null) {\n",
- " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
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- "source": [
- "# We can now create a susceptibility model and generate data\n",
- "# Lets start with a simple block in half-space\n",
- "model = np.zeros((mesh.nCx,mesh.nCy,mesh.nCz))\n",
- "model[(midx-2):(midx+2),(midy-2):(midy+2),-6:-2] = 0.01\n",
- "model = mkvc(model)\n",
- "model = model[actv]\n",
- "\n",
- "# Plot the model\n",
- "figure()\n",
- "ax = subplot(212)\n",
- "mesh.plotSlice(actvMap * model, ax = ax, normal = 'Y', ind=midy, grid=True, clim = (-1e-3, model.max()))\n",
- "title('A simple block model.')\n",
- "xlabel('x');ylabel('z')\n",
- "plt.gca().set_aspect('equal', adjustable='box')\n",
- "\n",
- "# We can now generate data\n",
- "d = F.dot(model) #: this is matrix multiplication!!\n",
- "data = d + randn(len(d)) # We add some random Gaussian noise (1nT)\n",
- "wd = np.ones(len(data))*1. # Assign flat uncertainties\n",
- "\n",
- "\n",
- "subplot(221)\n",
- "imshow(d.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
- "title('True data.')\n",
- "plt.gca().set_aspect('equal', adjustable='box')\n",
- "plt.colorbar()\n",
- "\n",
- "subplot(222)\n",
- "imshow(data.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
- "title('Data + Noise')\n",
- "plt.gca().set_aspect('equal', adjustable='box')\n",
- "plt.colorbar()\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Once we have our problem, we can use the inversion tools in SimPEG to run our inversion:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "beta_in = 1e+4\n",
- "\n",
- "# Creat reduced identity map for topography\n",
- "idenMap = Maps.IdentityMap(nP = nC)\n",
- "\n",
- "prob = PF.Magnetics.MagneticIntegral(mesh, F, mapping = idenMap)\n",
- "prob.solverOpts['accuracyTol'] = 1e-4\n",
- "survey = Survey.LinearSurvey()\n",
- "survey.pair(prob)\n",
- "survey.dobs=data\n",
- "\n",
- "# Initiate a simple Tikonov regularization\n",
- "reg = Regularization.Simple(mesh, indActive = actv, mapping=wrMap)\n",
- "reg.mref = np.zeros(nC)\n",
- "reg.alpha_s = 1.\n",
- "\n",
- "# Create pre-conditioner \n",
- "diagA = np.sum(F**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()*(wr**2.0)\n",
- "PC = Utils.sdiag(diagA**-1.)\n",
- "\n",
- "# Creat reduced identity map\n",
- "idenMap = Maps.IdentityMap(nP = nC)\n",
- "\n",
- "# Set up the misfit function and pre-conditioner\n",
- "dmis = DataMisfit.l2_DataMisfit(survey)\n",
- "dmis.Wd = wd\n",
- "opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1.)\n",
- "opt.approxHinv = PC\n",
- "\n",
- "# Set up directives for the inverse problem\n",
- "invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = beta_in)\n",
- "beta = Directives.BetaSchedule(coolingFactor=2, coolingRate=1)\n",
- "target = Directives.TargetMisfit()\n",
- "\n",
- "# The final inversion object controling all the parts above\n",
- "inv = Inversion.BaseInversion(invProb, directiveList=[beta, target])\n",
- "\n",
- "# Define a starting model (small)\n",
- "m0 = np.ones(nC) * 1e-4"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.\n",
- " ***Done using same Solver and solverOpts as the problem***\n",
- "=============================== Projected GNCG ===============================\n",
- " # beta phi_d phi_m f |proj(x-g)-x| LS Comment \n",
- "-----------------------------------------------------------------------------\n",
- " 0 1.00e+04 6.72e+04 3.37e-04 6.72e+04 8.30e+01 0 \n",
- " 1 5.00e+03 2.72e+03 3.17e-02 2.88e+03 6.90e+01 0 \n",
- " 2 2.50e+03 3.73e+02 5.49e-02 5.10e+02 7.03e+01 0 \n",
- "------------------------- STOP! -------------------------\n",
- "1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 6.7163e+03\n",
- "1 : |xc-x_last| = 6.3549e-03 <= tolX*(1+|x0|) = 1.0111e-01\n",
- "0 : |proj(x-g)-x| = 7.0322e+01 <= tolG = 1.0000e-01\n",
- "0 : |proj(x-g)-x| = 7.0322e+01 <= 1e3*eps = 1.0000e-02\n",
- "0 : maxIter = 10 <= iter = 3\n",
- "------------------------- DONE! -------------------------\n"
- ]
- }
- ],
- "source": [
- "mrec = inv.run(m0)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Inversion has converged. We can plot sections through the model."
- ]
- },
{
"cell_type": "code",
"execution_count": 8,
@@ -2635,7 +1734,7 @@
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"source": [
- "# Here is the recovered susceptibility model\n",
- "plt.figure()\n",
- "ax = subplot(121)\n",
- "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Z', ind=-2, clim = (-1e-3, model.max()))\n",
- "title('Recovered model.')\n",
- "xlabel('x');ylabel('y')\n",
- "plt.gca().set_aspect('equal', adjustable='box')\n",
+ "# We can now create a susceptibility model and generate data\n",
+ "# Lets start with a simple block in half-space\n",
+ "model = np.zeros((mesh.nCx,mesh.nCy,mesh.nCz))\n",
+ "model[(midx-2):(midx+2),(midy-2):(midy+2),-6:-2] = 0.01\n",
+ "model = mkvc(model)\n",
+ "model = model[actv]\n",
"\n",
- "\n",
- "# Horizontalsection\n",
- "ax = subplot(122)\n",
- "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Y', ind=midx, clim = (-1e-3, model.max()))\n",
- "title('Recovered model.')\n",
+ "# Plot the model\n",
+ "figure()\n",
+ "ax = subplot(212)\n",
+ "mesh.plotSlice(actvMap * model, ax = ax, normal = 'Y', ind=midy, grid=True, clim = (-1e-3, model.max()))\n",
+ "title('A simple block model.')\n",
"xlabel('x');ylabel('z')\n",
"plt.gca().set_aspect('equal', adjustable='box')\n",
- "\n"
+ "\n",
+ "# We can now generate data\n",
+ "d = F.dot(model) #: this is matrix multiplication!!\n",
+ "data = d + randn(len(d)) # We add some random Gaussian noise (1nT)\n",
+ "wd = np.ones(len(data))*1. # Assign flat uncertainties\n",
+ "\n",
+ "\n",
+ "subplot(221)\n",
+ "imshow(d.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
+ "title('True data.')\n",
+ "plt.gca().set_aspect('equal', adjustable='box')\n",
+ "plt.colorbar()\n",
+ "\n",
+ "subplot(222)\n",
+ "imshow(data.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
+ "title('Data + Noise')\n",
+ "plt.gca().set_aspect('equal', adjustable='box')\n",
+ "plt.colorbar()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Once we have our problem, we can use the inversion tools in SimPEG to run our inversion:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "beta_in = 1e+4\n",
+ "\n",
+ "# Creat reduced identity map for topography\n",
+ "idenMap = Maps.IdentityMap(nP = nC)\n",
+ "\n",
+ "prob = PF.Magnetics.MagneticIntegral(mesh, F, mapping = idenMap)\n",
+ "prob.solverOpts['accuracyTol'] = 1e-4\n",
+ "survey = Survey.LinearSurvey()\n",
+ "survey.pair(prob)\n",
+ "survey.dobs=data\n",
+ "\n",
+ "# Initiate a simple Tikonov regularization\n",
+ "reg = Regularization.Simple(mesh, indActive = actv, mapping=wrMap)\n",
+ "reg.mref = np.zeros(nC)\n",
+ "reg.alpha_s = 1.\n",
+ "\n",
+ "# Create pre-conditioner \n",
+ "diagA = np.sum(F**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()*(wr**2.0)\n",
+ "PC = Utils.sdiag(diagA**-1.)\n",
+ "\n",
+ "# Creat reduced identity map\n",
+ "idenMap = Maps.IdentityMap(nP = nC)\n",
+ "\n",
+ "# Set up the misfit function and pre-conditioner\n",
+ "dmis = DataMisfit.l2_DataMisfit(survey)\n",
+ "dmis.Wd = wd\n",
+ "opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1.)\n",
+ "opt.approxHinv = PC\n",
+ "\n",
+ "# Set up directives for the inverse problem\n",
+ "invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = beta_in)\n",
+ "beta = Directives.BetaSchedule(coolingFactor=2, coolingRate=1)\n",
+ "target = Directives.TargetMisfit()\n",
+ "\n",
+ "# The final inversion object controling all the parts above\n",
+ "inv = Inversion.BaseInversion(invProb, directiveList=[beta, target])\n",
+ "\n",
+ "# Define a starting model (small)\n",
+ "m0 = np.ones(nC) * 1e-4"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "prob.ispaired"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.\n",
+ " ***Done using same Solver and solverOpts as the problem***\n",
+ "=============================== Projected GNCG ===============================\n",
+ " # beta phi_d phi_m f |proj(x-g)-x| LS Comment \n",
+ "-----------------------------------------------------------------------------\n",
+ " 0 1.00e+04 6.76e+04 3.37e-04 6.76e+04 8.30e+01 0 \n",
+ " 1 5.00e+03 2.79e+03 3.20e-02 2.95e+03 6.89e+01 0 \n",
+ " 2 2.50e+03 4.04e+02 5.56e-02 5.43e+02 7.04e+01 0 \n",
+ " 3 1.25e+03 2.16e+02 5.78e-02 2.88e+02 7.02e+01 0 Skip BFGS \n",
+ "------------------------- STOP! -------------------------\n",
+ "1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 6.7632e+03\n",
+ "1 : |xc-x_last| = 5.8532e-03 <= tolX*(1+|x0|) = 1.0111e-01\n",
+ "0 : |proj(x-g)-x| = 7.0238e+01 <= tolG = 1.0000e-01\n",
+ "0 : |proj(x-g)-x| = 7.0238e+01 <= 1e3*eps = 1.0000e-02\n",
+ "0 : maxIter = 10 <= iter = 4\n",
+ "------------------------- DONE! -------------------------\n"
+ ]
+ }
+ ],
+ "source": [
+ "mrec = inv.run(m0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Great, we have a 3D model of susceptibility, but the job is not done yet.\n",
- "A VERY important step of the inversion workflow is to look at how well the model can predict the observed data.\n",
- "The figure below compares the observed, predicted and normalized residual.\n"
+ "Inversion has converged. We can plot sections through the model."
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 17,
"metadata": {
"collapsed": false
},
@@ -3419,7 +2663,791 @@
{
"data": {
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+ "
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+ ],
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+ ""
+ ]
+ },
+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "# Here is the recovered susceptibility model\n",
+ "plt.figure()\n",
+ "ax = subplot(121)\n",
+ "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Z', ind=-2, clim = (-1e-3, model.max()))\n",
+ "title('Recovered model.')\n",
+ "xlabel('x');ylabel('y')\n",
+ "plt.gca().set_aspect('equal', adjustable='box')\n",
+ "\n",
+ "\n",
+ "# Horizontalsection\n",
+ "ax = subplot(122)\n",
+ "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Y', ind=midx, clim = (-1e-3, model.max()))\n",
+ "title('Recovered model.')\n",
+ "xlabel('x');ylabel('z')\n",
+ "plt.gca().set_aspect('equal', adjustable='box')\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Great, we have a 3D model of susceptibility, but the job is not done yet.\n",
+ "A VERY important step of the inversion workflow is to look at how well the model can predict the observed data.\n",
+ "The figure below compares the observed, predicted and normalized residual.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "collapsed": false
+ },
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+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
+ " // Request the server to send over a new figure.\n",
+ " fig.send_draw_message();\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
+ " fig.image_mode = msg['mode'];\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Called whenever the canvas gets updated.\n",
+ " this.send_message(\"ack\", {});\n",
+ "}\n",
+ "\n",
+ "// A function to construct a web socket function for onmessage handling.\n",
+ "// Called in the figure constructor.\n",
+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
+ " return function socket_on_message(evt) {\n",
+ " if (evt.data instanceof Blob) {\n",
+ " /* FIXME: We get \"Resource interpreted as Image but\n",
+ " * transferred with MIME type text/plain:\" errors on\n",
+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
+ " * to be part of the websocket stream */\n",
+ " evt.data.type = \"image/png\";\n",
+ "\n",
+ " /* Free the memory for the previous frames */\n",
+ " if (fig.imageObj.src) {\n",
+ " (window.URL || window.webkitURL).revokeObjectURL(\n",
+ " fig.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+ " evt.data);\n",
+ " fig.updated_canvas_event();\n",
+ " return;\n",
+ " }\n",
+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
+ " fig.imageObj.src = evt.data;\n",
+ " fig.updated_canvas_event();\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var msg = JSON.parse(evt.data);\n",
+ " var msg_type = msg['type'];\n",
+ "\n",
+ " // Call the \"handle_{type}\" callback, which takes\n",
+ " // the figure and JSON message as its only arguments.\n",
+ " try {\n",
+ " var callback = fig[\"handle_\" + msg_type];\n",
+ " } catch (e) {\n",
+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " if (callback) {\n",
+ " try {\n",
+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+ " callback(fig, msg);\n",
+ " } catch (e) {\n",
+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
+ " }\n",
+ " }\n",
+ " };\n",
+ "}\n",
+ "\n",
+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+ "mpl.findpos = function(e) {\n",
+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+ " var targ;\n",
+ " if (!e)\n",
+ " e = window.event;\n",
+ " if (e.target)\n",
+ " targ = e.target;\n",
+ " else if (e.srcElement)\n",
+ " targ = e.srcElement;\n",
+ " if (targ.nodeType == 3) // defeat Safari bug\n",
+ " targ = targ.parentNode;\n",
+ "\n",
+ " // jQuery normalizes the pageX and pageY\n",
+ " // pageX,Y are the mouse positions relative to the document\n",
+ " // offset() returns the position of the element relative to the document\n",
+ " var x = e.pageX - $(targ).offset().left;\n",
+ " var y = e.pageY - $(targ).offset().top;\n",
+ "\n",
+ " return {\"x\": x, \"y\": y};\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
+ " var canvas_pos = mpl.findpos(event)\n",
+ "\n",
+ " if (name === 'button_press')\n",
+ " {\n",
+ " this.canvas.focus();\n",
+ " this.canvas_div.focus();\n",
+ " }\n",
+ "\n",
+ " var x = canvas_pos.x;\n",
+ " var y = canvas_pos.y;\n",
+ "\n",
+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
+ " step: event.step});\n",
+ "\n",
+ " /* This prevents the web browser from automatically changing to\n",
+ " * the text insertion cursor when the button is pressed. We want\n",
+ " * to control all of the cursor setting manually through the\n",
+ " * 'cursor' event from matplotlib */\n",
+ " event.preventDefault();\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " // Handle any extra behaviour associated with a key event\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.key_event = function(event, name) {\n",
+ "\n",
+ " // Prevent repeat events\n",
+ " if (name == 'key_press')\n",
+ " {\n",
+ " if (event.which === this._key)\n",
+ " return;\n",
+ " else\n",
+ " this._key = event.which;\n",
+ " }\n",
+ " if (name == 'key_release')\n",
+ " this._key = null;\n",
+ "\n",
+ " var value = '';\n",
+ " if (event.ctrlKey && event.which != 17)\n",
+ " value += \"ctrl+\";\n",
+ " if (event.altKey && event.which != 18)\n",
+ " value += \"alt+\";\n",
+ " if (event.shiftKey && event.which != 16)\n",
+ " value += \"shift+\";\n",
+ "\n",
+ " value += 'k';\n",
+ " value += event.which.toString();\n",
+ "\n",
+ " this._key_event_extra(event, name);\n",
+ "\n",
+ " this.send_message(name, {key: value});\n",
+ " return false;\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+ " if (name == 'download') {\n",
+ " this.handle_save(this, null);\n",
+ " } else {\n",
+ " this.send_message(\"toolbar_button\", {name: name});\n",
+ " }\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+ " this.message.textContent = tooltip;\n",
+ "};\n",
+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+ "\n",
+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+ "\n",
+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
+ " // object with the appropriate methods. Currently this is a non binary\n",
+ " // socket, so there is still some room for performance tuning.\n",
+ " var ws = {};\n",
+ "\n",
+ " ws.close = function() {\n",
+ " comm.close()\n",
+ " };\n",
+ " ws.send = function(m) {\n",
+ " //console.log('sending', m);\n",
+ " comm.send(m);\n",
+ " };\n",
+ " // Register the callback with on_msg.\n",
+ " comm.on_msg(function(msg) {\n",
+ " //console.log('receiving', msg['content']['data'], msg);\n",
+ " // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
+ " ws.onmessage(msg['content']['data'])\n",
+ " });\n",
+ " return ws;\n",
+ "}\n",
+ "\n",
+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
+ " // This is the function which gets called when the mpl process\n",
+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+ "\n",
+ " var id = msg.content.data.id;\n",
+ " // Get hold of the div created by the display call when the Comm\n",
+ " // socket was opened in Python.\n",
+ " var element = $(\"#\" + id);\n",
+ " var ws_proxy = comm_websocket_adapter(comm)\n",
+ "\n",
+ " function ondownload(figure, format) {\n",
+ " window.open(figure.imageObj.src);\n",
+ " }\n",
+ "\n",
+ " var fig = new mpl.figure(id, ws_proxy,\n",
+ " ondownload,\n",
+ " element.get(0));\n",
+ "\n",
+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+ " // web socket which is closed, not our websocket->open comm proxy.\n",
+ " ws_proxy.onopen();\n",
+ "\n",
+ " fig.parent_element = element.get(0);\n",
+ " fig.cell_info = mpl.find_output_cell(\"\");\n",
+ " if (!fig.cell_info) {\n",
+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
+ " return;\n",
+ " }\n",
+ "\n",
+ " var output_index = fig.cell_info[2]\n",
+ " var cell = fig.cell_info[0];\n",
+ "\n",
+ "};\n",
+ "\n",
+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+ " // Update the output cell to use the data from the current canvas.\n",
+ " fig.push_to_output();\n",
+ " var dataURL = fig.canvas.toDataURL();\n",
+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+ " // the notebook keyboard shortcuts fail.\n",
+ " IPython.keyboard_manager.enable()\n",
+ " $(fig.parent_element).html('
');\n",
+ " fig.send_message('closing', {});\n",
+ " fig.ws.close()\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+ " // Turn the data on the canvas into data in the output cell.\n",
+ " var dataURL = this.canvas.toDataURL();\n",
+ " this.cell_info[1]['text/html'] = '
';\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
+ " // Tell IPython that the notebook contents must change.\n",
+ " IPython.notebook.set_dirty(true);\n",
+ " this.send_message(\"ack\", {});\n",
+ " var fig = this;\n",
+ " // Wait a second, then push the new image to the DOM so\n",
+ " // that it is saved nicely (might be nice to debounce this).\n",
+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._init_toolbar = function() {\n",
+ " var fig = this;\n",
+ "\n",
+ " var nav_element = $('')\n",
+ " nav_element.attr('style', 'width: 100%');\n",
+ " this.root.append(nav_element);\n",
+ "\n",
+ " // Define a callback function for later on.\n",
+ " function toolbar_event(event) {\n",
+ " return fig.toolbar_button_onclick(event['data']);\n",
+ " }\n",
+ " function toolbar_mouse_event(event) {\n",
+ " return fig.toolbar_button_onmouseover(event['data']);\n",
+ " }\n",
+ "\n",
+ " for(var toolbar_ind in mpl.toolbar_items){\n",
+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+ "\n",
+ " if (!name) { continue; };\n",
+ "\n",
+ " var button = $('');\n",
+ " button.click(method_name, toolbar_event);\n",
+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
+ " nav_element.append(button);\n",
+ " }\n",
+ "\n",
+ " // Add the status bar.\n",
+ " var status_bar = $('');\n",
+ " nav_element.append(status_bar);\n",
+ " this.message = status_bar[0];\n",
+ "\n",
+ " // Add the close button to the window.\n",
+ " var buttongrp = $('');\n",
+ " var button = $('');\n",
+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+ " button.mouseover('Close figure', toolbar_mouse_event);\n",
+ " buttongrp.append(button);\n",
+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+ " titlebar.prepend(buttongrp);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+ " // this is important to make the div 'focusable\n",
+ " el.attr('tabindex', 0)\n",
+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
+ " // off when our div gets focus\n",
+ "\n",
+ " // location in version 3\n",
+ " if (IPython.notebook.keyboard_manager) {\n",
+ " IPython.notebook.keyboard_manager.register_events(el);\n",
+ " }\n",
+ " else {\n",
+ " // location in version 2\n",
+ " IPython.keyboard_manager.register_events(el);\n",
+ " }\n",
+ "\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
+ " var manager = IPython.notebook.keyboard_manager;\n",
+ " if (!manager)\n",
+ " manager = IPython.keyboard_manager;\n",
+ "\n",
+ " // Check for shift+enter\n",
+ " if (event.shiftKey && event.which == 13) {\n",
+ " this.canvas_div.blur();\n",
+ " event.shiftKey = false;\n",
+ " // Send a \"J\" for go to next cell\n",
+ " event.which = 74;\n",
+ " event.keyCode = 74;\n",
+ " manager.command_mode();\n",
+ " manager.handle_keydown(event);\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+ " fig.ondownload(fig, null);\n",
+ "}\n",
+ "\n",
+ "\n",
+ "mpl.find_output_cell = function(html_output) {\n",
+ " // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+ " // IPython event is triggered only after the cells have been serialised, which for\n",
+ " // our purposes (turning an active figure into a static one), is too late.\n",
+ " var cells = IPython.notebook.get_cells();\n",
+ " var ncells = cells.length;\n",
+ " for (var i=0; i= 3 moved mimebundle to data attribute of output\n",
+ " data = data.data;\n",
+ " }\n",
+ " if (data['text/html'] == html_output) {\n",
+ " return [cell, data, j];\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "// Register the function which deals with the matplotlib target/channel.\n",
+ "// The kernel may be null if the page has been refreshed.\n",
+ "if (IPython.notebook.kernel != null) {\n",
+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
+ "}\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "
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],
"text/plain": [
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@@ -3431,10 +3459,10 @@
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+ "execution_count": 19,
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