mirror of
https://github.com/wassname/simpeg.git
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3514 lines
804 KiB
Plaintext
3514 lines
804 KiB
Plaintext
{
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"cells": [
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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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"**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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{
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"cell_type": "code",
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"execution_count": 133,
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"metadata": {
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"collapsed": false
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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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"Using matplotlib backend: nbAgg\n",
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"Populating the interactive namespace from numpy and matplotlib\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING: pylab import has clobbered these variables: ['linalg', 'beta', 'inv']\n",
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"`%matplotlib` prevents importing * from pylab and numpy\n"
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]
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}
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],
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"source": [
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"%matplotlib notebook\n",
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"%pylab\n",
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"from SimPEG import *\n",
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"import simpegPF as PF"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 135,
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"metadata": {
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"collapsed": false,
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"scrolled": true
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},
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"outputs": [],
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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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{
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"cell_type": "code",
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"execution_count": 136,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Begin calculation of forward operator: tmi\n",
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"Done 0.0 %\n",
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"Done 10.0 %\n",
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"Done 20.0 %\n",
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"Done 30.0 %\n",
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"Done 40.0 %\n",
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"Done 50.0 %\n",
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"Done 60.0 %\n",
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"Done 70.0 %\n",
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"Done 80.0 %\n",
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"Done 90.0 %\n",
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"Done 100% ...forward operator completed!!\n",
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"\n"
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]
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}
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],
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"source": [
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"# First, convert the magnetization direction to Cartesian\n",
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"mi = np.ones(nC) * M[0]\n",
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"md = np.ones(nC) * M[1]\n",
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"M_xyz = PF.Magnetics.dipazm_2_xyz( mi , md ) # Ouputs an nc x 3 array\n",
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"\n",
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"# Create the forward model operator\n",
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"F = PF.Magnetics.Intrgl_Fwr_Op(mesh,H0,M_xyz,rxLoc,actv,'tmi')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 137,
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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 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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" } else {\n",
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" alert('Your browser does not have WebSocket support.' +\n",
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" 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": 138,
|
|
"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"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.colorbar.Colorbar instance at 0x00000000395D3E48>"
|
|
]
|
|
},
|
|
"execution_count": 138,
|
|
"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": 141,
|
|
"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": 142,
|
|
"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 6.75e+04 3.37e-04 6.75e+04 8.30e+01 0 \n",
|
|
" 1 5.00e+03 2.77e+03 3.19e-02 2.93e+03 6.90e+01 0 \n",
|
|
" 2 2.50e+03 4.03e+02 5.53e-02 5.41e+02 7.04e+01 0 \n",
|
|
" 3 1.25e+03 2.15e+02 5.75e-02 2.87e+02 6.99e+01 0 Skip BFGS \n",
|
|
" 4 6.25e+02 2.00e+02 5.82e-02 2.37e+02 7.31e+01 0 Skip BFGS \n",
|
|
"------------------------- STOP! -------------------------\n",
|
|
"1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 6.7516e+03\n",
|
|
"1 : |xc-x_last| = 3.1475e-03 <= tolX*(1+|x0|) = 1.0111e-01\n",
|
|
"0 : |proj(x-g)-x| = 7.3120e+01 <= tolG = 1.0000e-01\n",
|
|
"0 : |proj(x-g)-x| = 7.3120e+01 <= 1e3*eps = 1.0000e-02\n",
|
|
"0 : maxIter = 10 <= iter = 5\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": 143,
|
|
"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": 144,
|
|
"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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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"text/plain": [
|
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"<matplotlib.colorbar.Colorbar instance at 0x000000003D2A8FC8>"
|
|
]
|
|
},
|
|
"execution_count": 144,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Plot predicted data and residual\n",
|
|
"plt.figure()\n",
|
|
"pred = F.dot(mrec) #: this is matrix multiplication!!\n",
|
|
"\n",
|
|
"subplot(221)\n",
|
|
"imshow(data.reshape(X.shape))\n",
|
|
"title('Observed data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(222)\n",
|
|
"imshow(pred.reshape(X.shape))\n",
|
|
"title('Predicted data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(223)\n",
|
|
"imshow(data.reshape(X.shape) - pred.reshape(X.shape))\n",
|
|
"title('Residual data.')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()\n",
|
|
"\n",
|
|
"subplot(224)\n",
|
|
"imshow( (data.reshape(X.shape) - pred.reshape(X.shape)) / wd.reshape(X.shape) )\n",
|
|
"title('Normalized Residual')\n",
|
|
"plt.gca().set_aspect('equal', adjustable='box')\n",
|
|
"colorbar()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Good job! \n",
|
|
"Hopefully we covered all the important points regarding the inversion of magnetic field data using the integral formulation.\n",
|
|
"\n",
|
|
"Make sure you visit the notebook for the compact norms regularization.\n",
|
|
"\n",
|
|
"Cheers!"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 2",
|
|
"language": "python",
|
|
"name": "python2"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.11"
|
|
}
|
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},
|
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"nbformat": 4,
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"nbformat_minor": 0
|
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}
|