[12eb36b] | 1 | """ |
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| 2 | Application to explore the difference between sasview 3.x orientation |
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| 3 | dispersity and possible replacement algorithms. |
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| 4 | """ |
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| 5 | import mpl_toolkits.mplot3d # Adds projection='3d' option to subplot |
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| 6 | import matplotlib.pyplot as plt |
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| 7 | from matplotlib.widgets import Slider, CheckButtons |
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| 8 | from matplotlib import cm |
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| 9 | |
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| 10 | import numpy as np |
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| 11 | from numpy import pi, cos, sin, sqrt, exp, degrees, radians |
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| 12 | |
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| 13 | def draw_sphere(ax, radius=10., steps=100): |
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| 14 | u = np.linspace(0, 2 * np.pi, steps) |
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| 15 | v = np.linspace(0, np.pi, steps) |
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| 16 | |
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| 17 | x = radius * np.outer(np.cos(u), np.sin(v)) |
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| 18 | y = radius * np.outer(np.sin(u), np.sin(v)) |
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| 19 | z = radius * np.outer(np.ones(np.size(u)), np.cos(v)) |
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| 20 | ax.plot_surface(x, y, z, rstride=4, cstride=4, color='w') |
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| 21 | |
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| 22 | def draw_mesh_current(ax, theta, dtheta, phi, dphi, radius=10., dist='gauss'): |
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| 23 | theta = radians(theta) |
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| 24 | phi = radians(phi) |
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| 25 | dtheta = radians(dtheta) |
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| 26 | dphi = radians(dphi) |
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| 27 | |
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| 28 | # 10 point 3-sigma gaussian weights |
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| 29 | t = np.linspace(-3., 3., 11) |
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| 30 | if dist == 'gauss': |
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| 31 | weights = exp(-0.5*t**2) |
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| 32 | elif dist == 'rect': |
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| 33 | weights = np.ones_like(t) |
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| 34 | else: |
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| 35 | raise ValueError("expected dist to be 'gauss' or 'rect'") |
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| 36 | theta = theta + dtheta*t |
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| 37 | phi = phi + dphi*t |
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| 38 | |
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| 39 | x = radius * np.outer(cos(phi), cos(theta)) |
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| 40 | y = radius * np.outer(sin(phi), cos(theta)) |
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| 41 | z = radius * np.outer(np.ones_like(phi), sin(theta)) |
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| 42 | w = np.outer(weights, weights*abs(cos(theta))) |
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| 43 | |
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| 44 | x,y,z,w = [v.flatten() for v in (x,y,z,w)] |
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| 45 | |
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| 46 | ax.scatter(x, y, z, c=w, marker='o', vmin=0., vmax=1.0) |
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| 47 | |
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| 48 | def draw_mesh_new(ax, theta, dtheta, phi, dphi, flow, radius=10., dist='gauss'): |
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| 49 | theta_center = radians(theta) |
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| 50 | phi_center = radians(phi) |
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| 51 | flow_center = radians(flow) |
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| 52 | dtheta = radians(dtheta) |
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| 53 | dphi = radians(dphi) |
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| 54 | |
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| 55 | # 10 point 3-sigma gaussian weights |
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| 56 | t = np.linspace(-3., 3., 11) |
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| 57 | if dist == 'gauss': |
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| 58 | weights = exp(-0.5*t**2) |
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| 59 | elif dist == 'rect': |
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| 60 | weights = np.ones_like(t) |
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| 61 | else: |
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| 62 | raise ValueError("expected dist to be 'gauss' or 'rect'") |
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| 63 | theta = dtheta*t |
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| 64 | phi = dphi*t |
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| 65 | |
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| 66 | x = radius * np.outer(cos(phi), cos(theta)) |
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| 67 | y = radius * np.outer(sin(phi), cos(theta)) |
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| 68 | z = radius * np.outer(np.ones_like(phi), sin(theta)) |
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| 69 | #w = np.outer(weights, weights*abs(cos(dtheta*t))) |
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| 70 | w = np.outer(weights, weights*abs(cos(theta))) |
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| 71 | |
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| 72 | x, y, z, w = [v.flatten() for v in (x,y,z,w)] |
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| 73 | x, y, z = rotate(x, y, z, phi_center, theta_center, flow_center) |
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| 74 | |
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| 75 | ax.scatter(x, y, z, c=w, marker='o', vmin=0., vmax=1.) |
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| 76 | |
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| 77 | def rotate(x, y, z, phi, theta, psi): |
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| 78 | R = rotation_matrix(psi, theta, phi) |
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| 79 | p = np.vstack([x,y,z]) |
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| 80 | q = np.dot(R,p) |
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| 81 | return q |
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| 82 | |
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| 83 | def rotation_matrix(xa,ya,za): |
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| 84 | Rz = [[cos(za), -sin(za), 0.], |
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| 85 | [sin(za), cos(za), 0.], |
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| 86 | [0., 0., 1.]] |
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| 87 | Ry = [[cos(ya), 0., -sin(ya)], |
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| 88 | [0., 1., 0.], |
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| 89 | [sin(ya), 0., cos(ya)]] |
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| 90 | Rx = [[1., 0., 0.], |
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| 91 | [0., cos(xa), sin(xa)], |
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| 92 | [0., -sin(xa), cos(xa)]] |
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| 93 | R = np.dot(np.dot(Rz, Ry), Rx) |
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| 94 | return R |
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| 95 | |
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| 96 | def main(): |
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| 97 | plt.hold(True) |
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| 98 | plt.set_cmap('gist_earth') |
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| 99 | plt.clf() |
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| 100 | #gs = gridspec.GridSpec(2,1,height_ratios=[4,1]) |
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| 101 | #ax = plt.subplot(gs[0], projection='3d') |
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| 102 | ax = plt.axes([0.0, 0.2, 1.0, 0.8], projection='3d') |
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| 103 | |
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| 104 | phi, dphi = -45., 3. |
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| 105 | theta, dtheta = 70., 10. |
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| 106 | flow = 0. |
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| 107 | #dist = 'rect' |
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| 108 | dist = 'gauss' |
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| 109 | |
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| 110 | axcolor = 'lightgoldenrodyellow' |
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| 111 | axphi = plt.axes([0.1, 0.1, 0.45, 0.04], axisbg=axcolor) |
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| 112 | axtheta = plt.axes([0.1, 0.15, 0.45, 0.04], axisbg=axcolor) |
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| 113 | sphi = Slider(axphi, 'Phi', -180, 180, valinit=phi) |
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| 114 | stheta = Slider(axtheta, 'Theta', -180, 180, valinit=theta) |
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| 115 | axdphi = plt.axes([0.75, 0.1, 0.15, 0.04], axisbg=axcolor) |
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| 116 | axdtheta = plt.axes([0.75, 0.15, 0.15, 0.04], axisbg=axcolor) |
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| 117 | sdphi = Slider(axdphi, 'dPhi', 0, 30, valinit=dphi) |
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| 118 | sdtheta = Slider(axdtheta, 'dTheta', 0, 30, valinit=dtheta) |
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| 119 | |
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| 120 | axflow = plt.axes([0.1, 0.05, 0.45, 0.04], axisbg=axcolor) |
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| 121 | sflow = Slider(axflow, 'Flow', -180, 180, valinit=flow) |
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| 122 | axusenew= plt.axes([0.75, 0.05, 0.15, 0.04], axisbg=axcolor) |
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| 123 | susenew = CheckButtons(axusenew, ['New'], [True]) |
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| 124 | |
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| 125 | def update(val, axis=None): |
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| 126 | phi, theta = sphi.val, stheta.val |
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| 127 | dphi, dtheta = sdphi.val, sdtheta.val |
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| 128 | flow = sflow.val |
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| 129 | use_new = susenew.lines[0][0].get_visible() |
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| 130 | ax.cla() |
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| 131 | draw_sphere(ax) |
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| 132 | if use_new: |
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| 133 | draw_mesh_new(ax, theta=theta, dtheta=dtheta, phi=phi, dphi=dphi, |
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| 134 | flow=flow, radius=11., dist=dist) |
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| 135 | else: |
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| 136 | draw_mesh_current(ax, theta=theta, dtheta=dtheta, phi=phi, dphi=dphi, |
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| 137 | radius=11., dist=dist) |
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| 138 | if not axis.startswith('d'): |
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| 139 | ax.view_init(elev=theta, azim=phi) |
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| 140 | plt.gcf().canvas.draw() |
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| 141 | |
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| 142 | stheta.on_changed(lambda v: update(v,'theta')) |
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| 143 | sphi.on_changed(lambda v: update(v, 'phi')) |
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| 144 | sdtheta.on_changed(lambda v: update(v, 'dtheta')) |
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| 145 | sdphi.on_changed(lambda v: update(v, 'dphi')) |
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| 146 | sflow.on_changed(lambda v: update(v, 'dflow')) |
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| 147 | susenew.on_clicked(lambda v: update(v, 'use_new')) |
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| 148 | |
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| 149 | update(None, 'phi') |
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| 150 | |
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| 151 | plt.show() |
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| 152 | |
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| 153 | if __name__ == "__main__": |
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| 154 | main() |
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