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@cldougl
Created May 22, 2015 19:47
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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#imports from Plotly tools\n",
"#and numpy\n",
"#and python widgets\n",
"from __future__ import absolute_import\n",
"\n",
"import os\n",
"import os.path\n",
"import warnings\n",
"import six\n",
"import requests\n",
"import plotly.plotly as py\n",
"from plotly.widgets import GraphWidget\n",
"\n",
"\n",
"from plotly import utils\n",
"from plotly import exceptions\n",
"from plotly import session\n",
"\n",
"from plotly.graph_objs import *\n",
"\n",
"import numpy as np\n",
"from numpy import ma\n",
"\n",
"from IPython.display import display\n",
"from IPython.html import widgets"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#calculate streamlines and arrows \n",
"#adapted from Bokeh's streamline math\n",
"\n",
"def streamlines(x, y, u, v, density=1):\n",
" '''Returns streamlines of a vector flow.\n",
"\n",
" * x and y are 1d arrays defining an *evenly spaced* grid.\n",
" * u and v are 2d arrays (shape [y,x]) giving velocities.\n",
" * density controls the closeness of the streamlines. For different\n",
" densities in each direction, use a tuple or list [densityx, densityy].\n",
"\n",
" '''\n",
"\n",
" ## Set up some constants - size of the grid used.\n",
" NGX = len(x)\n",
" NGY = len(y)\n",
"\n",
" ## Constants used to convert between grid index coords and user coords.\n",
" DX = x[1]-x[0]\n",
" DY = y[1]-y[0]\n",
" XOFF = x[0]\n",
" YOFF = y[0]\n",
"\n",
" ## Now rescale velocity onto axes-coordinates\n",
" u = u / (x[-1]-x[0])\n",
" v = v / (y[-1]-y[0])\n",
" speed = np.sqrt(u*u+v*v)\n",
" ## s (path length) will now be in axes-coordinates, but we must\n",
" ## rescale u for integrations.\n",
" u *= NGX\n",
" v *= NGY\n",
" ## Now u and v in grid-coordinates.\n",
"\n",
" NBX = int(30*density)\n",
" NBY = int(30*density)\n",
" blank = np.zeros((NBY,NBX))\n",
"\n",
" bx_spacing = NGX/float(NBX-1)\n",
" by_spacing = NGY/float(NBY-1)\n",
"\n",
" def blank_pos(xi, yi):\n",
" return int((xi / bx_spacing) + 0.5), int((yi / by_spacing) + 0.5)\n",
"\n",
" def value_at(a, xi, yi):\n",
" if type(xi) == np.ndarray:\n",
" x = xi.astype(np.int)\n",
" y = yi.astype(np.int)\n",
" else:\n",
" x = np.int(xi)\n",
" y = np.int(yi)\n",
" a00 = a[y,x]\n",
" a01 = a[y,x+1]\n",
" a10 = a[y+1,x]\n",
" a11 = a[y+1,x+1]\n",
" xt = xi - x\n",
" yt = yi - y\n",
" a0 = a00*(1-xt) + a01*xt\n",
" a1 = a10*(1-xt) + a11*xt\n",
" return a0*(1-yt) + a1*yt\n",
"\n",
" def rk4_integrate(x0, y0):\n",
" ## This function does RK4 forward and back trajectories from\n",
" ## the initial conditions, with the odd 'blank array'\n",
" ## termination conditions. TODO tidy the integration loops.\n",
"\n",
" def f(xi, yi):\n",
" dt_ds = 1./value_at(speed, xi, yi)\n",
" ui = value_at(u, xi, yi)\n",
" vi = value_at(v, xi, yi)\n",
" return ui*dt_ds, vi*dt_ds\n",
"\n",
" def g(xi, yi):\n",
" dt_ds = 1./value_at(speed, xi, yi)\n",
" ui = value_at(u, xi, yi)\n",
" vi = value_at(v, xi, yi)\n",
" return -ui*dt_ds, -vi*dt_ds\n",
"\n",
" check = lambda xi, yi: xi>=0 and xi<NGX-1 and yi>=0 and yi<NGY-1\n",
"\n",
" bx_changes = []\n",
" by_changes = []\n",
"\n",
" ## Integrator function\n",
" def rk4(x0, y0, f):\n",
" ds = 0.01 #min(1./NGX, 1./NGY, 0.01)\n",
" stotal = 0\n",
" xi = x0\n",
" yi = y0\n",
" xb, yb = blank_pos(xi, yi)\n",
" xf_traj = []\n",
" yf_traj = []\n",
" while check(xi, yi):\n",
" # Time step. First save the point.\n",
" xf_traj.append(xi)\n",
" yf_traj.append(yi)\n",
" # Next, advance one using RK4\n",
" try:\n",
" k1x, k1y = f(xi, yi)\n",
" k2x, k2y = f(xi + .5*ds*k1x, yi + .5*ds*k1y)\n",
" k3x, k3y = f(xi + .5*ds*k2x, yi + .5*ds*k2y)\n",
" k4x, k4y = f(xi + ds*k3x, yi + ds*k3y)\n",
" except IndexError:\n",
" # Out of the domain on one of the intermediate steps\n",
" break\n",
" xi += ds*(k1x+2*k2x+2*k3x+k4x) / 6.\n",
" yi += ds*(k1y+2*k2y+2*k3y+k4y) / 6.\n",
" # Final position might be out of the domain\n",
" if not check(xi, yi): break\n",
" stotal += ds\n",
" # Next, if s gets to thres, check blank.\n",
" new_xb, new_yb = blank_pos(xi, yi)\n",
" if new_xb != xb or new_yb != yb:\n",
" # New square, so check and colour. Quit if required.\n",
" if blank[new_yb,new_xb] == 0:\n",
" blank[new_yb,new_xb] = 1\n",
" bx_changes.append(new_xb)\n",
" by_changes.append(new_yb)\n",
" xb = new_xb\n",
" yb = new_yb\n",
" else:\n",
" break\n",
" if stotal > 2:\n",
" break\n",
" return stotal, xf_traj, yf_traj\n",
"\n",
" integrator = rk4\n",
"\n",
" sf, xf_traj, yf_traj = integrator(x0, y0, f)\n",
" sb, xb_traj, yb_traj = integrator(x0, y0, g)\n",
" stotal = sf + sb\n",
" x_traj = xb_traj[::-1] + xf_traj[1:]\n",
" y_traj = yb_traj[::-1] + yf_traj[1:]\n",
"\n",
" ## Tests to check length of traj. Remember, s in units of axes.\n",
" if len(x_traj) < 1: return None\n",
" if stotal > .2:\n",
" initxb, inityb = blank_pos(x0, y0)\n",
" blank[inityb, initxb] = 1\n",
" return x_traj, y_traj\n",
" else:\n",
" for xb, yb in zip(bx_changes, by_changes):\n",
" blank[yb, xb] = 0\n",
" return None\n",
"\n",
" ## A quick function for integrating trajectories if blank==0.\n",
" trajectories = []\n",
" def traj(xb, yb):\n",
" if xb < 0 or xb >= NBX or yb < 0 or yb >= NBY:\n",
" return\n",
" if blank[yb, xb] == 0:\n",
" t = rk4_integrate(xb*bx_spacing, yb*by_spacing)\n",
" if t != None:\n",
" trajectories.append(t)\n",
"\n",
" ## Now we build up the trajectory set. I've found it best to look\n",
" ## for blank==0 along the edges first, and work inwards.\n",
" for indent in range((max(NBX,NBY))//2):\n",
" for xi in range(max(NBX,NBY)-2*indent):\n",
" traj(xi+indent, indent)\n",
" traj(xi+indent, NBY-1-indent)\n",
" traj(indent, xi+indent)\n",
" traj(NBX-1-indent, xi+indent)\n",
"\n",
" xs = [np.array(t[0])*DX+XOFF for t in trajectories]\n",
" ys = [np.array(t[1])*DY+YOFF for t in trajectories]\n",
" \n",
" #below edited to make list readable by plotly\n",
" #streamline function returns xs and ys which are\n",
" #arrays of arrays\n",
" #here make them to lists and add one nan to the \n",
" #end of each list to separate the stream lines\n",
" \n",
" xspl = xs\n",
" yspl = ys\n",
" \n",
" for index in range(len(xspl)):\n",
" xspl[index] = xspl[index].tolist()\n",
" xspl[index].append(np.nan)\n",
" \n",
" \n",
" for index in range(len(yspl)):\n",
" yspl[index] = yspl[index].tolist()\n",
" yspl[index].append(np.nan)\n",
"\n",
" #xs & ys are lists of lists-> combine each into 1 list \n",
" #so it's readable by plotly\n",
" #**this makes all the steamlines into 1 trace\n",
" xspl = sum(xspl, [])\n",
" yspl = sum(yspl, [])\n",
"\n",
" \n",
" #ARROW ATTEMPT\n",
"\n",
" XMid = np.empty((len(xs)))\n",
" YMid = np.empty((len(ys)))\n",
" XStart = np.empty((len(xs)))\n",
" YStart = np.empty((len(ys)))\n",
" for index in range(len(xs)):\n",
" XMid[index] = xs[index][len(xs[index])/2]\n",
" XStart[index] = xs[index][(len(xs[index])/2)-5]\n",
" YMid[index] = ys[index][len(ys[index])/2]\n",
" YStart[index] = ys[index][(len(ys[index])/2)-5]\n",
"\n",
" Xdif = XMid-XStart\n",
" Ydif = YMid-YStart\n",
"\n",
" #Get angle of line\n",
" LineAng = np.arctan(Ydif/Xdif)\n",
"\n",
" #Set angles to create arrow\n",
" #Currently set to +/- 20 degrees\n",
" Ang1 = LineAng + (np.pi/9)\n",
" Ang2 = LineAng - (np.pi/9)\n",
" \n",
" XSeg1 = np.cos(Ang1)*.1\n",
" YSeg1 = np.sin(Ang1)*.1\n",
" \n",
" XSeg2 = np.cos(Ang2)*.1\n",
" YSeg2 = np.sin(Ang2)*.1\n",
" \n",
" XPoint1 = np.empty((len(Xdif)))\n",
" YPoint1 = np.empty((len(Ydif)))\n",
" \n",
" XPoint2 = np.empty((len(Xdif)))\n",
" YPoint2 = np.empty((len(Ydif)))\n",
"\n",
" for index in range(len(Xdif)):\n",
" if Xdif[index] >= 0:\n",
" XPoint1[index] = XMid[index] - XSeg1[index]\n",
" YPoint1[index] = YMid[index] - YSeg1[index]\n",
" XPoint2[index] = XMid[index] - XSeg2[index]\n",
" YPoint2[index] = YMid[index] - YSeg2[index]\n",
" else:\n",
" XPoint1[index] = XMid[index] + XSeg1[index]\n",
" YPoint1[index] = YMid[index] + YSeg1[index]\n",
" XPoint2[index] = XMid[index] + XSeg2[index]\n",
" YPoint2[index] = YMid[index] + YSeg2[index]\n",
" \n",
" nnn = np.empty((len(YMid)))\n",
" nnn[:] = np.NAN\n",
" \n",
" #combine arrays into matrix\n",
" XArrows = np.matrix([XPoint1, XMid, XPoint2, nnn])\n",
" #make matrix into array readable by plotly\n",
" XArrows = np.array(XArrows)\n",
" XArrows = XArrows.flatten('F')\n",
" \n",
" #combine arrays into matrix\n",
" YArrows = np.matrix([YPoint1, YMid, YPoint2, nnn])\n",
" #make matrix into array readable by plotly\n",
" YArrows = np.array(YArrows)\n",
" YArrows = YArrows.flatten('F')\n",
" \n",
" return xspl, yspl, XArrows, YArrows\n"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#Example 1\n",
"\n",
"#Add data\n",
"xx = np.linspace(-3, 3, 100)\n",
"yy = np.linspace(-3, 3, 100)\n",
"\n",
"Y, X = np.meshgrid(xx, yy)\n",
"U = -1 - X**2 + Y\n",
"V = 1 + X - Y**2\n",
"\n",
"#run streamline function\n",
"#based on Bokeh's example-uses the transposed versions of U and V (?)\n",
"xspl, yspl, XArrows, YArrows = streamlines(xx, yy, U.T, V.T, density=2)"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#graph widget\n",
"stream1_graph = GraphWidget()\n",
"stream1_graph"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#Set up traces: graph w/ plotly as scatter (mode = lines)\n",
"trace0 = Scatter(x = xspl, y = yspl, mode = 'lines')\n",
"trace1 = Scatter(x = XArrows, y = YArrows, mode = 'lines')\n",
"data1 = Data([trace0, trace1])\n",
"\n",
"stream1_graph.plot(data1)"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"stream1_graph.save(filename='streamarrows1')"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://plot.ly/~chelsea_lyn/1800\n"
]
}
],
"source": [
"print(stream1_graph.url)"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"#Example 2 \n",
"#from http://nbviewer.ipython.org/github/barbagroup/AeroPython/blob/master/lessons/01_Lesson01_sourceSink.ipynb\n",
"\n",
"#Enter data\n",
"N = 50 \n",
"x_start, x_end = -2.0, 2.0 \n",
"y_start, y_end = -1.0, 1.0 \n",
"x = np.linspace(x_start, x_end, N) \n",
"y = np.linspace(y_start, y_end, N) \n",
"\n",
"X, Y = np.meshgrid(x, y) \n",
"\n",
"strength_source = 5.0 \n",
"x_source, y_source = -1.0, 0.0 \n",
"\n",
"# computes the velocity field on the mesh grid\n",
"u_source = strength_source/(2*np.pi) * (X-x_source)/((X-x_source)**2 + (Y-y_source)**2)\n",
"v_source = strength_source/(2*np.pi) * (Y-y_source)/((X-x_source)**2 + (Y-y_source)**2)\n",
"\n",
"#run streamline function\n",
"xspl2, yspl2, XArrows2, YArrows2 = streamlines(x, y, u_source, v_source, density=2)"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"#Graph widget\n",
"stream2_graph = GraphWidget()\n",
"stream2_graph"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#Define Traces/Data\n",
"trace2 = Scatter(x = xspl2, y = yspl2, mode = 'lines')\n",
"trace3 = Scatter(x = XArrows2, y = YArrows2, mode = 'lines')\n",
"trace4 = Scatter(x = [x_source], y = [y_source], mode = 'markers', marker=Marker(size=14))\n",
"data2 = Data([trace2, trace3, trace4])\n",
"\n",
"stream2_graph.plot(data2)"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"stream2_graph.save(filename='streamarrows2')"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://plot.ly/~chelsea_lyn/1804\n"
]
}
],
"source": [
"print(stream2_graph.url)"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"#Example 3\n",
"#Data\n",
"strength_sink = -5.0 # strength of the sink\n",
"x_sink, y_sink = 1.0, 0.0 # location of the sink\n",
"\n",
"# computes the velocity on the mesh grid\n",
"u_sink = strength_sink/(2*np.pi) * (X-x_sink)/((X-x_sink)**2 + (Y-y_sink)**2)\n",
"v_sink = strength_sink/(2*np.pi) * (Y-y_sink)/((X-x_sink)**2 + (Y-y_sink)**2)\n",
"\n",
"u_pair = u_source + u_sink\n",
"v_pair = v_source + v_sink\n",
"\n",
"#streamline function\n",
"xspl3, yspl3, XArrows3, YArrows3 = streamlines(x, y, u_pair, v_pair, density=2)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#graph widget\n",
"#stream3_graph = GraphWidget()\n",
"#stream3_graph"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chelsea_lyn/1803.embed\" height=\"525\" width=\"100%\"></iframe>"
],
"text/plain": [
"<plotly.tools.PlotlyDisplay object>"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trace5 = Scatter(x = xspl3, y = yspl3, mode = 'lines')\n",
"trace6 = Scatter(x = XArrows3, y = YArrows3, mode = 'lines')\n",
"trace7 = Scatter(x = [x_source, x_sink], y = [y_source, y_sink], mode = 'markers', marker=Marker(size=14))\n",
"data3 = Data([trace5, trace6, trace7])\n",
"\n",
"stream3_graph.plot(data3)\n",
"py.iplot(data3, filename='streamarrows3', overwrite=True)"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#stream3_graph.save(filename='streamarrows3')"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://plot.ly/~chelsea_lyn/1803\n"
]
}
],
"source": [
"#print(stream3_graph.url)"
]
},
{
"cell_type": "code",
"execution_count": 199,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"#compared to matplotlib from LorenaBarbas nb"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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XpNEG7GKX7hSWJPtp80qE8TsErE2Fd1kF4cS+8fm4AxUkb3/V5W3fnwbgJRvQlpmQEdFl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\npwSWN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"text/plain": [
"<matplotlib.figure.Figure at 0x107893a90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import math\n",
"import numpy\n",
"from matplotlib import pyplot\n",
"\n",
"N = 50 # number of points in each direction\n",
"x_start, x_end = -2.0, 2.0 # boundaries in the x-direction\n",
"y_start, y_end = -1.0, 1.0 # boundaries in the y-direction\n",
"x = numpy.linspace(x_start, x_end, N) # creates a 1D-array with the x-coordinates\n",
"y = numpy.linspace(y_start, y_end, N) # creates a 1D-array with the y-coordinates\n",
"\n",
"X, Y = numpy.meshgrid(x, y) # generates a mesh grid\n",
"\n",
"%matplotlib inline\n",
"# plotting the streamlines\n",
"size = 10\n",
"pyplot.figure(figsize=(size, (y_end-y_start)/(x_end-x_start)*size))\n",
"pyplot.xlabel('x', fontsize=16)\n",
"pyplot.ylabel('y', fontsize=16)\n",
"pyplot.xlim(x_start, x_end)\n",
"pyplot.ylim(y_start, y_end)\n",
"pyplot.streamplot(X, Y, u_pair, v_pair, density=2.0, linewidth=1, arrowsize=2, arrowstyle='->')\n",
"pyplot.scatter([x_source, x_sink], [y_source, y_sink], \n",
" color='#CD2305', s=80, marker='o', linewidth=0);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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