mirror of
https://github.com/wassname/simpeg.git
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D Fournier
ceffc0b53f
Create SrcField and RxObs retrotfit I/O to use survey Forward matrix as property Inversion running again but needs cleanup
3544 lines
808 KiB
Plaintext
3544 lines
808 KiB
Plaintext
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"**Objective:** \n",
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"\n",
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"In this tutorial we will create a simple magnetic problem from scratch using the SimPEG framework.\n",
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"\n",
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"We are using the integral form of the magnetostatic problem. In the absence of free-currents or changing magnetic field, magnetic material can give rise to a secondary magnetic field according to:\n",
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"\n",
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"$$\\vec b = \\frac{\\mu_0}{4\\pi} \\int_{V} \\vec M \\cdot \\nabla \\nabla \\left(\\frac{1}{r}\\right) \\; dV $$\n",
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"\n",
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"Where $\\mu_0$ is the magnetic permealitity of free-space, $\\vec M$ is the magnetization per unit volume and $r$ defines the distance between the observed field $\\vec b$ and the magnetized object. Assuming a purely induced response, the strenght of magnetization can be written as:\n",
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"\n",
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"$$ \\vec M = \\mu_0 \\kappa \\vec H_0 $$\n",
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"\n",
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"where $\\vec H$ is an external inducing magnetic field, and $\\kappa$ the magnetic susceptibility of matter.\n",
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"As derived by Sharma 1966, the integral can be evaluated for rectangular prisms such that:\n",
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"\n",
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"$$ \\vec b(P) = \\mathbf{T} \\cdot \\vec H_0 \\; \\kappa $$\n",
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"\n",
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"Where the tensor matrix $\\bf{T}$ relates the three components of magnetization $\\vec M$ to the components of the field $\\vec b$:\n",
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"\n",
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"$$\\mathbf{T} =\n",
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"\t \\begin{pmatrix}\n",
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" \t\tT_{xx} & T_{xy} & T_{xz} \\\\\n",
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"\t\tT_{yx} & T_{yy} & T_{yz} \\\\\n",
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"\t\tT_{zx} & T_{zy} & T_{zz} \n",
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"\t\\end{pmatrix} $$\n",
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" \n",
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"In general, we discretize the earth into a collection of cells, each contributing to the magnetic data such that:\n",
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"\n",
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"$$\\vec b(P) = \\sum_{j=1}^{nc} \\mathbf{T}_j \\cdot \\vec H_0 \\; \\kappa_j$$\n",
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"\n",
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"giving rise to a linear problem.\n",
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"\n",
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"The remaining of this notebook goes through all the important components of a 3D magnetic experiment. From mesh creation, topography, data and inverse problem. \n",
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"\n",
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"Enjoy.\n"
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]
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"execution_count": 4,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Using matplotlib backend: nbAgg\n",
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"Populating the interactive namespace from numpy and matplotlib\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING: pylab import has clobbered these variables: ['linalg']\n",
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"`%matplotlib` prevents importing * from pylab and numpy\n"
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]
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}
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],
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"source": [
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"%matplotlib notebook\n",
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"%pylab\n",
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"from SimPEG import *\n",
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"import simpegPF as PF"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"source": [
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"# First we need to define the direction of the inducing field\n",
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"# As a simple case, we pick a vertical inducing field of magnitude 50,000nT. \n",
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"# From old convention, field orientation is given as an azimuth from North \n",
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"# (positive clockwise) and dip from the horizontal (positive downward).\n",
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"H0 = np.array(([90.,0.,50000.]))\n",
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"\n",
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"# Assume all induced so the magnetization M is also in the same direction\n",
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"M = np.array([90,0])\n",
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"\n",
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"# Create a mesh\n",
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"dx = 5.\n",
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"\n",
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"hxind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
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"hyind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
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"hzind = [(dx,5,-1.3),(5, 10)]\n",
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"\n",
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"mesh = Mesh.TensorMesh([hxind, hyind, hzind], 'CCC')\n",
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"\n",
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"# Get index of the center\n",
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"midx = int(mesh.nCx/2)\n",
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"midy = int(mesh.nCy/2)\n",
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"\n",
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"# Lets create a simple Gaussian topo and set the active cells\n",
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"[xx,yy] = np.meshgrid(mesh.vectorNx,mesh.vectorNy)\n",
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"zz = -np.exp( ( xx**2 + yy**2 )/ 75**2 ) + mesh.vectorNz[-1]\n",
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"\n",
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"topo = np.c_[mkvc(xx),mkvc(yy),mkvc(zz)] # We would usually load a topofile\n",
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"\n",
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"actv = PF.Magnetics.getActiveTopo(mesh,topo,'N') # Go from topo to actv cells\n",
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"\n",
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"#nC = mesh.nC \n",
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"#actv = np.asarray(range(mesh.nC))\n",
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"\n",
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"# Create active map to go from reduce space to full\n",
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"actvMap = Maps.ActiveCells(mesh, actv, -100)\n",
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"nC = len(actv)\n",
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"\n",
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"# Create and array of observation points\n",
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"xr = np.linspace(-20., 20., 20)\n",
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"yr = np.linspace(-20., 20., 20)\n",
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"X, Y = np.meshgrid(xr, yr)\n",
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"\n",
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"# Let just put the observation above the topo\n",
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"Z = -np.exp( ( X**2 + Y**2 )/ 75**2 ) + mesh.vectorNz[-1] + 5. \n",
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"\n",
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"rxLoc = np.c_[Utils.mkvc(X.T), Utils.mkvc(Y.T), Utils.mkvc(Z.T)]\n"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Now that we have all our spatial components, we can create our linear system. For a single location and single component of the data, the system would look like this:\n",
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"\n",
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"$$ b_x =\n",
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"\t\\begin{bmatrix}\n",
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"\tT_{xx}^1 &... &T_{xx}^{nc} & T_{xy}^1 & ... & T_{xy}^{nc} & T_{xz}^1 & ... & T_{xz}^{nc}\\\\\n",
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"\t \\end{bmatrix}\n",
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"\t \\begin{bmatrix}\n",
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"\t\t\\mathbf{M}_x \\\\ \\mathbf{M}_y \\\\ \\mathbf{M}_z\n",
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"\t\\end{bmatrix} \\\\ $$\n",
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"\n",
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"where each of $T_{xx},\\;T_{xy},\\;T_{xz}$ are [nc x 1] long. For the $y$ and $z$ component, we need the two other rows of the tensor $\\mathbf{T}$.\n",
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"In our simple induced case, the magnetization direction $\\mathbf{M_x,\\;M_y\\;,Mz}$ are known and assumed to be constant everywhere, so we can reduce the size of the system such that: \n",
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"\n",
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"$$ \\vec{\\mathbf{d}}_{\\text{pred}} = (\\mathbf{T\\cdot M})\\; \\kappa$$\n",
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"\n",
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"\n",
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"\n",
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"In most geophysical surveys, we are not collecting all three components, but rather the magnitude of the field, or $Total\\;Magnetic\\;Intensity$ (TMI) data.\n",
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"Because the inducing field is really large, we will assume that the anomalous fields are parallel to $H_0$:\n",
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"\n",
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"$$ d^{TMI} = \\hat H_0 \\cdot \\vec d$$\n",
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"\n",
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"We then end up with a much smaller system:\n",
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"\n",
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"$$ d^{TMI} = \\mathbf{F\\; \\kappa}$$\n",
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"\n",
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"where $\\mathbf{F} \\in \\mathbb{R}^{nd \\times nc}$ is our $forward$ operator."
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]
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},
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Begin calculation of forward operator: tmi\n",
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"Done 0.0 %\n",
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"Done 10.0 %\n",
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"Done 20.0 %\n",
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"Done 30.0 %\n",
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"Done 40.0 %\n",
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"Done 50.0 %\n",
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"Done 60.0 %\n",
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"Done 70.0 %\n",
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"Done 80.0 %\n",
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"Done 90.0 %\n",
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"Done 100% ...forward operator completed!!\n",
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"\n"
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]
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}
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],
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"source": [
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"# First, convert the magnetization direction to Cartesian\n",
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"mi = np.ones(nC) * M[0]\n",
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"md = np.ones(nC) * M[1]\n",
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"M_xyz = PF.Magnetics.dipazm_2_xyz( mi , md ) # Ouputs an nc x 3 array\n",
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"\n",
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"# Create the forward model operator\n",
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"F = PF.Magnetics.Intrgl_Fwr_Op(mesh,H0,M_xyz,rxLoc,actv,'tmi')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Begin calculation of distance weighting for R= 3.0\n",
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"Done 0.0 %\n",
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"Done 10.0 %\n",
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"Done 20.0 %\n",
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"Done 30.0 %\n",
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"Done 40.0 %\n",
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"Done 50.0 %\n",
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"Done 60.0 %\n",
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"Done 70.0 %\n",
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"Done 80.0 %\n",
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"Done 90.0 %\n",
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"Done 100% ...distance weighting completed!!\n",
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"\n"
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]
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},
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|
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
" return false;\n",
|
|
" });\n",
|
|
"\n",
|
|
" function set_focus () {\n",
|
|
" canvas.focus();\n",
|
|
" canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" window.setTimeout(set_focus, 100);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\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) {\n",
|
|
" // put a spacer in here.\n",
|
|
" continue;\n",
|
|
" }\n",
|
|
" var button = $('<button/>');\n",
|
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
" 'ui-button-icon-only');\n",
|
|
" button.attr('role', 'button');\n",
|
|
" button.attr('aria-disabled', 'false');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
"\n",
|
|
" var icon_img = $('<span/>');\n",
|
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
" icon_img.addClass(image);\n",
|
|
" icon_img.addClass('ui-corner-all');\n",
|
|
"\n",
|
|
" var tooltip_span = $('<span/>');\n",
|
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
" tooltip_span.html(tooltip);\n",
|
|
"\n",
|
|
" button.append(icon_img);\n",
|
|
" button.append(tooltip_span);\n",
|
|
"\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fmt_picker_span = $('<span/>');\n",
|
|
"\n",
|
|
" var fmt_picker = $('<select/>');\n",
|
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
" nav_element.append(fmt_picker_span);\n",
|
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
"\n",
|
|
" for (var ind in mpl.extensions) {\n",
|
|
" var fmt = mpl.extensions[ind];\n",
|
|
" var option = $(\n",
|
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
" fmt_picker.append(option)\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add hover states to the ui-buttons\n",
|
|
" $( \".ui-button\" ).hover(\n",
|
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
" );\n",
|
|
"\n",
|
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
" // which will in turn request a refresh of the image.\n",
|
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
" properties['type'] = type;\n",
|
|
" properties['figure_id'] = this.id;\n",
|
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
" if (!this.waiting) {\n",
|
|
" this.waiting = true;\n",
|
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
" fig.ondownload(fig, format);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
" var size = msg['size'];\n",
|
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
" var x0 = msg['x0'];\n",
|
|
" var y0 = fig.canvas.height - msg['y0'];\n",
|
|
" var x1 = msg['x1'];\n",
|
|
" var y1 = fig.canvas.height - msg['y1'];\n",
|
|
" 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",
|
|
" }\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(\"<div id='\" + id + \"'></div>\");\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('<img src=\"' + dataURL + '\">');\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'] = '<img src=\"' + dataURL + '\">';\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 = $('<div/>')\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 = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></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 = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Close figure', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.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<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 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"
|
|
],
|
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"text/plain": [
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]
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\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Generate a distance weighting\n",
|
|
"wr = PF.Magnetics.get_dist_wgt(mesh,rxLoc,actv,3.,np.min(mesh.hx)/4)\n",
|
|
"wrMap = PF.BaseMag.WeightMap(nC, wr)\n",
|
|
"\n",
|
|
"wr_FULL = actvMap * wr\n",
|
|
"plt.figure()\n",
|
|
"ax = subplot()\n",
|
|
"mesh.plotSlice(wr_FULL, ax = ax, normal = 'Y', ind=midx, grid=True, clim = (0, wr.max()))\n",
|
|
"title('Distance weighting')\n",
|
|
"xlabel('x');ylabel('z')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/javascript": [
|
|
"/* Put everything inside the global mpl namespace */\n",
|
|
"window.mpl = {};\n",
|
|
"\n",
|
|
"mpl.get_websocket_type = function() {\n",
|
|
" if (typeof(WebSocket) !== 'undefined') {\n",
|
|
" 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",
|
|
" this.id = figure_id;\n",
|
|
"\n",
|
|
" this.ws = websocket;\n",
|
|
"\n",
|
|
" this.supports_binary = (this.ws.binaryType != undefined);\n",
|
|
"\n",
|
|
" if (!this.supports_binary) {\n",
|
|
" var warnings = document.getElementById(\"mpl-warnings\");\n",
|
|
" 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",
|
|
" this.message = undefined;\n",
|
|
" this.canvas = undefined;\n",
|
|
" this.rubberband_canvas = undefined;\n",
|
|
" this.rubberband_context = undefined;\n",
|
|
" this.format_dropdown = undefined;\n",
|
|
"\n",
|
|
" this.image_mode = 'full';\n",
|
|
"\n",
|
|
" this.root = $('<div/>');\n",
|
|
" this._root_extra_style(this.root)\n",
|
|
" this.root.attr('style', 'display: inline-block');\n",
|
|
"\n",
|
|
" $(parent_element).append(this.root);\n",
|
|
"\n",
|
|
" this._init_header(this);\n",
|
|
" this._init_canvas(this);\n",
|
|
" this._init_toolbar(this);\n",
|
|
"\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" this.waiting = false;\n",
|
|
"\n",
|
|
" this.ws.onopen = function () {\n",
|
|
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
|
|
" fig.send_message(\"send_image_mode\", {});\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" }\n",
|
|
"\n",
|
|
" this.imageObj.onload = function() {\n",
|
|
" if (fig.image_mode == 'full') {\n",
|
|
" // Full images could contain transparency (where diff images\n",
|
|
" // almost always do), so we need to clear the canvas so that\n",
|
|
" // there is no ghosting.\n",
|
|
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
" }\n",
|
|
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
|
|
" fig.waiting = false;\n",
|
|
" };\n",
|
|
"\n",
|
|
" this.imageObj.onunload = function() {\n",
|
|
" this.ws.close();\n",
|
|
" }\n",
|
|
"\n",
|
|
" this.ws.onmessage = this._make_on_message_function(this);\n",
|
|
"\n",
|
|
" this.ondownload = ondownload;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_header = function() {\n",
|
|
" var titlebar = $(\n",
|
|
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
|
|
" 'ui-helper-clearfix\"/>');\n",
|
|
" var titletext = $(\n",
|
|
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
|
|
" 'text-align: center; padding: 3px;\"/>');\n",
|
|
" titlebar.append(titletext)\n",
|
|
" 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",
|
|
"\n",
|
|
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
|
|
"\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_canvas = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var canvas_div = $('<div/>');\n",
|
|
"\n",
|
|
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
|
|
"\n",
|
|
" function canvas_keyboard_event(event) {\n",
|
|
" return fig.key_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
|
|
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
|
|
" this.canvas_div = canvas_div\n",
|
|
" this._canvas_extra_style(canvas_div)\n",
|
|
" this.root.append(canvas_div);\n",
|
|
"\n",
|
|
" var canvas = $('<canvas/>');\n",
|
|
" canvas.addClass('mpl-canvas');\n",
|
|
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
|
|
"\n",
|
|
" this.canvas = canvas[0];\n",
|
|
" this.context = canvas[0].getContext(\"2d\");\n",
|
|
"\n",
|
|
" var rubberband = $('<canvas/>');\n",
|
|
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
|
|
"\n",
|
|
" var pass_mouse_events = true;\n",
|
|
"\n",
|
|
" canvas_div.resizable({\n",
|
|
" start: function(event, ui) {\n",
|
|
" pass_mouse_events = false;\n",
|
|
" },\n",
|
|
" resize: function(event, ui) {\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" stop: function(event, ui) {\n",
|
|
" pass_mouse_events = true;\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" });\n",
|
|
"\n",
|
|
" function mouse_event_fn(event) {\n",
|
|
" if (pass_mouse_events)\n",
|
|
" return fig.mouse_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" rubberband.mousedown('button_press', mouse_event_fn);\n",
|
|
" rubberband.mouseup('button_release', mouse_event_fn);\n",
|
|
" // Throttle sequential mouse events to 1 every 20ms.\n",
|
|
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
|
|
"\n",
|
|
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
|
|
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
|
|
"\n",
|
|
" canvas_div.on(\"wheel\", function (event) {\n",
|
|
" event = event.originalEvent;\n",
|
|
" event['data'] = 'scroll'\n",
|
|
" if (event.deltaY < 0) {\n",
|
|
" event.step = 1;\n",
|
|
" } else {\n",
|
|
" event.step = -1;\n",
|
|
" }\n",
|
|
" mouse_event_fn(event);\n",
|
|
" });\n",
|
|
"\n",
|
|
" canvas_div.append(canvas);\n",
|
|
" canvas_div.append(rubberband);\n",
|
|
"\n",
|
|
" this.rubberband = rubberband;\n",
|
|
" this.rubberband_canvas = rubberband[0];\n",
|
|
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
|
|
" this.rubberband_context.strokeStyle = \"#000000\";\n",
|
|
"\n",
|
|
" this._resize_canvas = function(width, height) {\n",
|
|
" // Keep the size of the canvas, canvas container, and rubber band\n",
|
|
" // canvas in synch.\n",
|
|
" canvas_div.css('width', width)\n",
|
|
" canvas_div.css('height', height)\n",
|
|
"\n",
|
|
" canvas.attr('width', width);\n",
|
|
" canvas.attr('height', height);\n",
|
|
"\n",
|
|
" rubberband.attr('width', width);\n",
|
|
" rubberband.attr('height', height);\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
|
|
" // upon first draw.\n",
|
|
" this._resize_canvas(600, 600);\n",
|
|
"\n",
|
|
" // Disable right mouse context menu.\n",
|
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
" return false;\n",
|
|
" });\n",
|
|
"\n",
|
|
" function set_focus () {\n",
|
|
" canvas.focus();\n",
|
|
" canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" window.setTimeout(set_focus, 100);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\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) {\n",
|
|
" // put a spacer in here.\n",
|
|
" continue;\n",
|
|
" }\n",
|
|
" var button = $('<button/>');\n",
|
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
" 'ui-button-icon-only');\n",
|
|
" button.attr('role', 'button');\n",
|
|
" button.attr('aria-disabled', 'false');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
"\n",
|
|
" var icon_img = $('<span/>');\n",
|
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
" icon_img.addClass(image);\n",
|
|
" icon_img.addClass('ui-corner-all');\n",
|
|
"\n",
|
|
" var tooltip_span = $('<span/>');\n",
|
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
" tooltip_span.html(tooltip);\n",
|
|
"\n",
|
|
" button.append(icon_img);\n",
|
|
" button.append(tooltip_span);\n",
|
|
"\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fmt_picker_span = $('<span/>');\n",
|
|
"\n",
|
|
" var fmt_picker = $('<select/>');\n",
|
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
" nav_element.append(fmt_picker_span);\n",
|
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
"\n",
|
|
" for (var ind in mpl.extensions) {\n",
|
|
" var fmt = mpl.extensions[ind];\n",
|
|
" var option = $(\n",
|
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
" fmt_picker.append(option)\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add hover states to the ui-buttons\n",
|
|
" $( \".ui-button\" ).hover(\n",
|
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
" );\n",
|
|
"\n",
|
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
" // which will in turn request a refresh of the image.\n",
|
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
" properties['type'] = type;\n",
|
|
" properties['figure_id'] = this.id;\n",
|
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
" if (!this.waiting) {\n",
|
|
" this.waiting = true;\n",
|
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
" fig.ondownload(fig, format);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
" var size = msg['size'];\n",
|
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
" var x0 = msg['x0'];\n",
|
|
" var y0 = fig.canvas.height - msg['y0'];\n",
|
|
" var x1 = msg['x1'];\n",
|
|
" var y1 = fig.canvas.height - msg['y1'];\n",
|
|
" 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",
|
|
" }\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(\"<div id='\" + id + \"'></div>\");\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('<img src=\"' + dataURL + '\">');\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'] = '<img src=\"' + dataURL + '\">';\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 = $('<div/>')\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 = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></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 = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Close figure', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.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<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 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": [
|
|
"<IPython.core.display.Javascript object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<img 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\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.colorbar.Colorbar instance at 0x00000000167CE7C8>"
|
|
]
|
|
},
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"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": "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": [
|
|
"Inversion has converged. We can plot sections through the model."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/javascript": [
|
|
"/* Put everything inside the global mpl namespace */\n",
|
|
"window.mpl = {};\n",
|
|
"\n",
|
|
"mpl.get_websocket_type = function() {\n",
|
|
" if (typeof(WebSocket) !== 'undefined') {\n",
|
|
" 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",
|
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"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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|
" this.id = figure_id;\n",
|
|
"\n",
|
|
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|
|
"\n",
|
|
" this.supports_binary = (this.ws.binaryType != undefined);\n",
|
|
"\n",
|
|
" if (!this.supports_binary) {\n",
|
|
" var warnings = document.getElementById(\"mpl-warnings\");\n",
|
|
" 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",
|
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" this.imageObj = new Image();\n",
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"\n",
|
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" this.context = undefined;\n",
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" this.message = undefined;\n",
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|
" this.canvas = undefined;\n",
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" this.rubberband_canvas = undefined;\n",
|
|
" this.rubberband_context = undefined;\n",
|
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" this.format_dropdown = undefined;\n",
|
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"\n",
|
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" this.image_mode = 'full';\n",
|
|
"\n",
|
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" this.root = $('<div/>');\n",
|
|
" this._root_extra_style(this.root)\n",
|
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" this.root.attr('style', 'display: inline-block');\n",
|
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"\n",
|
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" $(parent_element).append(this.root);\n",
|
|
"\n",
|
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" this._init_header(this);\n",
|
|
" this._init_canvas(this);\n",
|
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" this._init_toolbar(this);\n",
|
|
"\n",
|
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|
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"\n",
|
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" this.waiting = false;\n",
|
|
"\n",
|
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" this.ws.onopen = function () {\n",
|
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|
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" fig.send_message(\"send_image_mode\", {});\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" }\n",
|
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"\n",
|
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" this.imageObj.onload = function() {\n",
|
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" if (fig.image_mode == 'full') {\n",
|
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" // Full images could contain transparency (where diff images\n",
|
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" // almost always do), so we need to clear the canvas so that\n",
|
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" // there is no ghosting.\n",
|
|
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
|
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" }\n",
|
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" fig.context.drawImage(fig.imageObj, 0, 0);\n",
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" fig.waiting = false;\n",
|
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" };\n",
|
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"\n",
|
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" this.imageObj.onunload = function() {\n",
|
|
" this.ws.close();\n",
|
|
" }\n",
|
|
"\n",
|
|
" this.ws.onmessage = this._make_on_message_function(this);\n",
|
|
"\n",
|
|
" this.ondownload = ondownload;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_header = function() {\n",
|
|
" var titlebar = $(\n",
|
|
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
|
|
" 'ui-helper-clearfix\"/>');\n",
|
|
" var titletext = $(\n",
|
|
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
|
|
" 'text-align: center; padding: 3px;\"/>');\n",
|
|
" titlebar.append(titletext)\n",
|
|
" 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",
|
|
"\n",
|
|
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
|
|
"\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_canvas = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var canvas_div = $('<div/>');\n",
|
|
"\n",
|
|
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
|
|
"\n",
|
|
" function canvas_keyboard_event(event) {\n",
|
|
" return fig.key_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
|
|
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
|
|
" this.canvas_div = canvas_div\n",
|
|
" this._canvas_extra_style(canvas_div)\n",
|
|
" this.root.append(canvas_div);\n",
|
|
"\n",
|
|
" var canvas = $('<canvas/>');\n",
|
|
" canvas.addClass('mpl-canvas');\n",
|
|
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
|
|
"\n",
|
|
" this.canvas = canvas[0];\n",
|
|
" this.context = canvas[0].getContext(\"2d\");\n",
|
|
"\n",
|
|
" var rubberband = $('<canvas/>');\n",
|
|
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
|
|
"\n",
|
|
" var pass_mouse_events = true;\n",
|
|
"\n",
|
|
" canvas_div.resizable({\n",
|
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" start: function(event, ui) {\n",
|
|
" pass_mouse_events = false;\n",
|
|
" },\n",
|
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" resize: function(event, ui) {\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" stop: function(event, ui) {\n",
|
|
" pass_mouse_events = true;\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" });\n",
|
|
"\n",
|
|
" function mouse_event_fn(event) {\n",
|
|
" if (pass_mouse_events)\n",
|
|
" return fig.mouse_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" rubberband.mousedown('button_press', mouse_event_fn);\n",
|
|
" rubberband.mouseup('button_release', mouse_event_fn);\n",
|
|
" // Throttle sequential mouse events to 1 every 20ms.\n",
|
|
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
|
|
"\n",
|
|
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
|
|
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
|
|
"\n",
|
|
" canvas_div.on(\"wheel\", function (event) {\n",
|
|
" event = event.originalEvent;\n",
|
|
" event['data'] = 'scroll'\n",
|
|
" if (event.deltaY < 0) {\n",
|
|
" event.step = 1;\n",
|
|
" } else {\n",
|
|
" event.step = -1;\n",
|
|
" }\n",
|
|
" mouse_event_fn(event);\n",
|
|
" });\n",
|
|
"\n",
|
|
" canvas_div.append(canvas);\n",
|
|
" canvas_div.append(rubberband);\n",
|
|
"\n",
|
|
" this.rubberband = rubberband;\n",
|
|
" this.rubberband_canvas = rubberband[0];\n",
|
|
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
|
|
" this.rubberband_context.strokeStyle = \"#000000\";\n",
|
|
"\n",
|
|
" this._resize_canvas = function(width, height) {\n",
|
|
" // Keep the size of the canvas, canvas container, and rubber band\n",
|
|
" // canvas in synch.\n",
|
|
" canvas_div.css('width', width)\n",
|
|
" canvas_div.css('height', height)\n",
|
|
"\n",
|
|
" canvas.attr('width', width);\n",
|
|
" canvas.attr('height', height);\n",
|
|
"\n",
|
|
" rubberband.attr('width', width);\n",
|
|
" rubberband.attr('height', height);\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
|
|
" // upon first draw.\n",
|
|
" this._resize_canvas(600, 600);\n",
|
|
"\n",
|
|
" // Disable right mouse context menu.\n",
|
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
" return false;\n",
|
|
" });\n",
|
|
"\n",
|
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" function set_focus () {\n",
|
|
" canvas.focus();\n",
|
|
" canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" window.setTimeout(set_focus, 100);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\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) {\n",
|
|
" // put a spacer in here.\n",
|
|
" continue;\n",
|
|
" }\n",
|
|
" var button = $('<button/>');\n",
|
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
" 'ui-button-icon-only');\n",
|
|
" button.attr('role', 'button');\n",
|
|
" button.attr('aria-disabled', 'false');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
"\n",
|
|
" var icon_img = $('<span/>');\n",
|
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
" icon_img.addClass(image);\n",
|
|
" icon_img.addClass('ui-corner-all');\n",
|
|
"\n",
|
|
" var tooltip_span = $('<span/>');\n",
|
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
" tooltip_span.html(tooltip);\n",
|
|
"\n",
|
|
" button.append(icon_img);\n",
|
|
" button.append(tooltip_span);\n",
|
|
"\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fmt_picker_span = $('<span/>');\n",
|
|
"\n",
|
|
" var fmt_picker = $('<select/>');\n",
|
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
" nav_element.append(fmt_picker_span);\n",
|
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
"\n",
|
|
" for (var ind in mpl.extensions) {\n",
|
|
" var fmt = mpl.extensions[ind];\n",
|
|
" var option = $(\n",
|
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
" fmt_picker.append(option)\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add hover states to the ui-buttons\n",
|
|
" $( \".ui-button\" ).hover(\n",
|
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
" );\n",
|
|
"\n",
|
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
" // which will in turn request a refresh of the image.\n",
|
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
" properties['type'] = type;\n",
|
|
" properties['figure_id'] = this.id;\n",
|
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
" if (!this.waiting) {\n",
|
|
" this.waiting = true;\n",
|
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
" fig.ondownload(fig, format);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
" var size = msg['size'];\n",
|
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
" var x0 = msg['x0'];\n",
|
|
" var y0 = fig.canvas.height - msg['y0'];\n",
|
|
" var x1 = msg['x1'];\n",
|
|
" var y1 = fig.canvas.height - msg['y1'];\n",
|
|
" 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",
|
|
" }\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(\"<div id='\" + id + \"'></div>\");\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('<img src=\"' + dataURL + '\">');\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'] = '<img src=\"' + dataURL + '\">';\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 = $('<div/>')\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 = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></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 = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Close figure', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.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<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 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": [
|
|
"<IPython.core.display.Javascript object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<img 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\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"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
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"application/javascript": [
|
|
"/* Put everything inside the global mpl namespace */\n",
|
|
"window.mpl = {};\n",
|
|
"\n",
|
|
"mpl.get_websocket_type = function() {\n",
|
|
" if (typeof(WebSocket) !== 'undefined') {\n",
|
|
" 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",
|
|
" this.id = figure_id;\n",
|
|
"\n",
|
|
" this.ws = websocket;\n",
|
|
"\n",
|
|
" this.supports_binary = (this.ws.binaryType != undefined);\n",
|
|
"\n",
|
|
" if (!this.supports_binary) {\n",
|
|
" var warnings = document.getElementById(\"mpl-warnings\");\n",
|
|
" 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",
|
|
" this.message = undefined;\n",
|
|
" this.canvas = undefined;\n",
|
|
" this.rubberband_canvas = undefined;\n",
|
|
" this.rubberband_context = undefined;\n",
|
|
" this.format_dropdown = undefined;\n",
|
|
"\n",
|
|
" this.image_mode = 'full';\n",
|
|
"\n",
|
|
" this.root = $('<div/>');\n",
|
|
" this._root_extra_style(this.root)\n",
|
|
" this.root.attr('style', 'display: inline-block');\n",
|
|
"\n",
|
|
" $(parent_element).append(this.root);\n",
|
|
"\n",
|
|
" this._init_header(this);\n",
|
|
" this._init_canvas(this);\n",
|
|
" this._init_toolbar(this);\n",
|
|
"\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" this.waiting = false;\n",
|
|
"\n",
|
|
" this.ws.onopen = function () {\n",
|
|
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
|
|
" fig.send_message(\"send_image_mode\", {});\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" }\n",
|
|
"\n",
|
|
" this.imageObj.onload = function() {\n",
|
|
" if (fig.image_mode == 'full') {\n",
|
|
" // Full images could contain transparency (where diff images\n",
|
|
" // almost always do), so we need to clear the canvas so that\n",
|
|
" // there is no ghosting.\n",
|
|
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
|
|
" }\n",
|
|
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
|
|
" fig.waiting = false;\n",
|
|
" };\n",
|
|
"\n",
|
|
" this.imageObj.onunload = function() {\n",
|
|
" this.ws.close();\n",
|
|
" }\n",
|
|
"\n",
|
|
" this.ws.onmessage = this._make_on_message_function(this);\n",
|
|
"\n",
|
|
" this.ondownload = ondownload;\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_header = function() {\n",
|
|
" var titlebar = $(\n",
|
|
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
|
|
" 'ui-helper-clearfix\"/>');\n",
|
|
" var titletext = $(\n",
|
|
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
|
|
" 'text-align: center; padding: 3px;\"/>');\n",
|
|
" titlebar.append(titletext)\n",
|
|
" 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",
|
|
"\n",
|
|
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
|
|
"\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_canvas = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var canvas_div = $('<div/>');\n",
|
|
"\n",
|
|
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
|
|
"\n",
|
|
" function canvas_keyboard_event(event) {\n",
|
|
" return fig.key_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
|
|
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
|
|
" this.canvas_div = canvas_div\n",
|
|
" this._canvas_extra_style(canvas_div)\n",
|
|
" this.root.append(canvas_div);\n",
|
|
"\n",
|
|
" var canvas = $('<canvas/>');\n",
|
|
" canvas.addClass('mpl-canvas');\n",
|
|
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
|
|
"\n",
|
|
" this.canvas = canvas[0];\n",
|
|
" this.context = canvas[0].getContext(\"2d\");\n",
|
|
"\n",
|
|
" var rubberband = $('<canvas/>');\n",
|
|
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
|
|
"\n",
|
|
" var pass_mouse_events = true;\n",
|
|
"\n",
|
|
" canvas_div.resizable({\n",
|
|
" start: function(event, ui) {\n",
|
|
" pass_mouse_events = false;\n",
|
|
" },\n",
|
|
" resize: function(event, ui) {\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" stop: function(event, ui) {\n",
|
|
" pass_mouse_events = true;\n",
|
|
" fig.request_resize(ui.size.width, ui.size.height);\n",
|
|
" },\n",
|
|
" });\n",
|
|
"\n",
|
|
" function mouse_event_fn(event) {\n",
|
|
" if (pass_mouse_events)\n",
|
|
" return fig.mouse_event(event, event['data']);\n",
|
|
" }\n",
|
|
"\n",
|
|
" rubberband.mousedown('button_press', mouse_event_fn);\n",
|
|
" rubberband.mouseup('button_release', mouse_event_fn);\n",
|
|
" // Throttle sequential mouse events to 1 every 20ms.\n",
|
|
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
|
|
"\n",
|
|
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
|
|
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
|
|
"\n",
|
|
" canvas_div.on(\"wheel\", function (event) {\n",
|
|
" event = event.originalEvent;\n",
|
|
" event['data'] = 'scroll'\n",
|
|
" if (event.deltaY < 0) {\n",
|
|
" event.step = 1;\n",
|
|
" } else {\n",
|
|
" event.step = -1;\n",
|
|
" }\n",
|
|
" mouse_event_fn(event);\n",
|
|
" });\n",
|
|
"\n",
|
|
" canvas_div.append(canvas);\n",
|
|
" canvas_div.append(rubberband);\n",
|
|
"\n",
|
|
" this.rubberband = rubberband;\n",
|
|
" this.rubberband_canvas = rubberband[0];\n",
|
|
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
|
|
" this.rubberband_context.strokeStyle = \"#000000\";\n",
|
|
"\n",
|
|
" this._resize_canvas = function(width, height) {\n",
|
|
" // Keep the size of the canvas, canvas container, and rubber band\n",
|
|
" // canvas in synch.\n",
|
|
" canvas_div.css('width', width)\n",
|
|
" canvas_div.css('height', height)\n",
|
|
"\n",
|
|
" canvas.attr('width', width);\n",
|
|
" canvas.attr('height', height);\n",
|
|
"\n",
|
|
" rubberband.attr('width', width);\n",
|
|
" rubberband.attr('height', height);\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
|
|
" // upon first draw.\n",
|
|
" this._resize_canvas(600, 600);\n",
|
|
"\n",
|
|
" // Disable right mouse context menu.\n",
|
|
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
|
|
" return false;\n",
|
|
" });\n",
|
|
"\n",
|
|
" function set_focus () {\n",
|
|
" canvas.focus();\n",
|
|
" canvas_div.focus();\n",
|
|
" }\n",
|
|
"\n",
|
|
" window.setTimeout(set_focus, 100);\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype._init_toolbar = function() {\n",
|
|
" var fig = this;\n",
|
|
"\n",
|
|
" var nav_element = $('<div/>')\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) {\n",
|
|
" // put a spacer in here.\n",
|
|
" continue;\n",
|
|
" }\n",
|
|
" var button = $('<button/>');\n",
|
|
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
|
|
" 'ui-button-icon-only');\n",
|
|
" button.attr('role', 'button');\n",
|
|
" button.attr('aria-disabled', 'false');\n",
|
|
" button.click(method_name, toolbar_event);\n",
|
|
" button.mouseover(tooltip, toolbar_mouse_event);\n",
|
|
"\n",
|
|
" var icon_img = $('<span/>');\n",
|
|
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
|
|
" icon_img.addClass(image);\n",
|
|
" icon_img.addClass('ui-corner-all');\n",
|
|
"\n",
|
|
" var tooltip_span = $('<span/>');\n",
|
|
" tooltip_span.addClass('ui-button-text');\n",
|
|
" tooltip_span.html(tooltip);\n",
|
|
"\n",
|
|
" button.append(icon_img);\n",
|
|
" button.append(tooltip_span);\n",
|
|
"\n",
|
|
" nav_element.append(button);\n",
|
|
" }\n",
|
|
"\n",
|
|
" var fmt_picker_span = $('<span/>');\n",
|
|
"\n",
|
|
" var fmt_picker = $('<select/>');\n",
|
|
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
|
|
" fmt_picker_span.append(fmt_picker);\n",
|
|
" nav_element.append(fmt_picker_span);\n",
|
|
" this.format_dropdown = fmt_picker[0];\n",
|
|
"\n",
|
|
" for (var ind in mpl.extensions) {\n",
|
|
" var fmt = mpl.extensions[ind];\n",
|
|
" var option = $(\n",
|
|
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
|
|
" fmt_picker.append(option)\n",
|
|
" }\n",
|
|
"\n",
|
|
" // Add hover states to the ui-buttons\n",
|
|
" $( \".ui-button\" ).hover(\n",
|
|
" function() { $(this).addClass(\"ui-state-hover\");},\n",
|
|
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
|
|
" );\n",
|
|
"\n",
|
|
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
|
|
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
|
|
" // which will in turn request a refresh of the image.\n",
|
|
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_message = function(type, properties) {\n",
|
|
" properties['type'] = type;\n",
|
|
" properties['figure_id'] = this.id;\n",
|
|
" this.ws.send(JSON.stringify(properties));\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.send_draw_message = function() {\n",
|
|
" if (!this.waiting) {\n",
|
|
" this.waiting = true;\n",
|
|
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
|
|
" }\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
|
|
" var format_dropdown = fig.format_dropdown;\n",
|
|
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
|
|
" fig.ondownload(fig, format);\n",
|
|
"}\n",
|
|
"\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
|
|
" var size = msg['size'];\n",
|
|
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
|
|
" fig._resize_canvas(size[0], size[1]);\n",
|
|
" fig.send_message(\"refresh\", {});\n",
|
|
" };\n",
|
|
"}\n",
|
|
"\n",
|
|
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
|
|
" var x0 = msg['x0'];\n",
|
|
" var y0 = fig.canvas.height - msg['y0'];\n",
|
|
" var x1 = msg['x1'];\n",
|
|
" var y1 = fig.canvas.height - msg['y1'];\n",
|
|
" 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",
|
|
" }\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(\"<div id='\" + id + \"'></div>\");\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('<img src=\"' + dataURL + '\">');\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'] = '<img src=\"' + dataURL + '\">';\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 = $('<div/>')\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 = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></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 = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
|
|
" nav_element.append(status_bar);\n",
|
|
" this.message = status_bar[0];\n",
|
|
"\n",
|
|
" // Add the close button to the window.\n",
|
|
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
|
|
" var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
|
|
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
|
|
" button.mouseover('Close figure', toolbar_mouse_event);\n",
|
|
" buttongrp.append(button);\n",
|
|
" var titlebar = this.root.find($('.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<ncells; i++) {\n",
|
|
" var cell = cells[i];\n",
|
|
" if (cell.cell_type === 'code'){\n",
|
|
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
|
|
" var data = cell.output_area.outputs[j];\n",
|
|
" if (data.data) {\n",
|
|
" // IPython >= 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": [
|
|
"<IPython.core.display.Javascript object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<img 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\">"
|
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],
|
|
"text/plain": [
|
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"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"text/plain": [
|
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"<matplotlib.colorbar.Colorbar instance at 0x0000000017BC1988>"
|
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]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Plot predicted data and residual\n",
|
|
"plt.figure()\n",
|
|
"pred = F.dot(mrec) #: this is matrix multiplication!!\n",
|
|
"\n",
|
|
"subplot(221)\n",
|
|
"imshow(data.reshape(X.shape))\n",
|
|
"title('Observed data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(222)\n",
|
|
"imshow(pred.reshape(X.shape))\n",
|
|
"title('Predicted data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(223)\n",
|
|
"imshow(data.reshape(X.shape) - pred.reshape(X.shape))\n",
|
|
"title('Residual data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(224)\n",
|
|
"imshow( (data.reshape(X.shape) - pred.reshape(X.shape)) / wd.reshape(X.shape) )\n",
|
|
"title('Normalized Residual')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Good job! \n",
|
|
"Hopefully we covered all the important points regarding the inversion of magnetic field data using the integral formulation.\n",
|
|
"\n",
|
|
"Make sure you visit the notebook for the compact norms regularization.\n",
|
|
"\n",
|
|
"Cheers!"
|
|
]
|
|
},
|
|
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