mirror of
https://github.com/wassname/simpeg.git
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D Fournier
3516 lines
791 KiB
Plaintext
3516 lines
791 KiB
Plaintext
{
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"cells": [
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{
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"source": [
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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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{
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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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"Efficiency Warning: Interpolation will be slow, use setup.py!\n",
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"\n",
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" python setup.py build_ext --inplace\n",
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" \n"
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]
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},
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{
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"name": "stderr",
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"text": [
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"C:\\Users\\dominiquef.MIRAGEOSCIENCE\\AppData\\Local\\Continuum\\Anaconda\\lib\\site-packages\\IPython\\kernel\\__init__.py:13: ShimWarning: The `IPython.kernel` package has been deprecated. You should import from ipykernel or jupyter_client instead.\n",
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" \"You should import from ipykernel or jupyter_client instead.\", ShimWarning)\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": 2,
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"metadata": {
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},
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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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{
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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": 3,
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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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"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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"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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{
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"data": {
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"\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": [
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]
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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": 5,
|
|
"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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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
|
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"output_type": "display_data"
|
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},
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{
|
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"data": {
|
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"text/plain": [
|
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"<matplotlib.colorbar.Colorbar instance at 0x00000000166F7A88>"
|
|
]
|
|
},
|
|
"execution_count": 5,
|
|
"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": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Once we have our problem, we can use the inversion tools in SimPEG to run our inversion:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"beta_in = 1e+4\n",
|
|
"\n",
|
|
"# Creat reduced identity map for topography\n",
|
|
"idenMap = Maps.IdentityMap(nP = nC)\n",
|
|
"\n",
|
|
"prob = PF.Magnetics.MagneticIntegral(mesh, F, mapping = idenMap)\n",
|
|
"prob.solverOpts['accuracyTol'] = 1e-4\n",
|
|
"survey = Survey.LinearSurvey()\n",
|
|
"survey.pair(prob)\n",
|
|
"survey.dobs=data\n",
|
|
"\n",
|
|
"# Initiate a simple Tikonov regularization\n",
|
|
"reg = Regularization.Simple(mesh, indActive = actv, mapping=wrMap)\n",
|
|
"reg.mref = np.zeros(nC)\n",
|
|
"reg.alpha_s = 1.\n",
|
|
"\n",
|
|
"# Create pre-conditioner \n",
|
|
"diagA = np.sum(F**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()*(wr**2.0)\n",
|
|
"PC = Utils.sdiag(diagA**-1.)\n",
|
|
"\n",
|
|
"# Creat reduced identity map\n",
|
|
"idenMap = Maps.IdentityMap(nP = nC)\n",
|
|
"\n",
|
|
"# Set up the misfit function and pre-conditioner\n",
|
|
"dmis = DataMisfit.l2_DataMisfit(survey)\n",
|
|
"dmis.Wd = wd\n",
|
|
"opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1.)\n",
|
|
"opt.approxHinv = PC\n",
|
|
"\n",
|
|
"# Set up directives for the inverse problem\n",
|
|
"invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = beta_in)\n",
|
|
"beta = Directives.BetaSchedule(coolingFactor=2, coolingRate=1)\n",
|
|
"target = Directives.TargetMisfit()\n",
|
|
"\n",
|
|
"# The final inversion object controling all the parts above\n",
|
|
"inv = Inversion.BaseInversion(invProb, directiveList=[beta, target])\n",
|
|
"\n",
|
|
"# Define a starting model (small)\n",
|
|
"m0 = np.ones(nC) * 1e-4"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.\n",
|
|
" ***Done using same Solver and solverOpts as the problem***\n",
|
|
"=============================== Projected GNCG ===============================\n",
|
|
" # beta phi_d phi_m f |proj(x-g)-x| LS Comment \n",
|
|
"-----------------------------------------------------------------------------\n",
|
|
" 0 1.00e+04 6.72e+04 3.37e-04 6.72e+04 8.30e+01 0 \n",
|
|
" 1 5.00e+03 2.72e+03 3.17e-02 2.88e+03 6.90e+01 0 \n",
|
|
" 2 2.50e+03 3.73e+02 5.49e-02 5.10e+02 7.03e+01 0 \n",
|
|
"------------------------- STOP! -------------------------\n",
|
|
"1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 6.7163e+03\n",
|
|
"1 : |xc-x_last| = 6.3549e-03 <= tolX*(1+|x0|) = 1.0111e-01\n",
|
|
"0 : |proj(x-g)-x| = 7.0322e+01 <= tolG = 1.0000e-01\n",
|
|
"0 : |proj(x-g)-x| = 7.0322e+01 <= 1e3*eps = 1.0000e-02\n",
|
|
"0 : maxIter = 10 <= iter = 3\n",
|
|
"------------------------- DONE! -------------------------\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"mrec = inv.run(m0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Inversion has converged. We can plot sections through the model."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"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": [
|
|
"<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": 9,
|
|
"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>"
|
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]
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},
|
|
"metadata": {},
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},
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{
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\">"
|
|
],
|
|
"text/plain": [
|
|
"<IPython.core.display.HTML object>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.colorbar.Colorbar instance at 0x000000001BAAA2C8>"
|
|
]
|
|
},
|
|
"execution_count": 9,
|
|
"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": {},
|
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"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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},
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}
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