def surf_demo2(**kwargs):
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from ifigure.interactive import surf, threed, figure, isec, nsec
figure(gl=True)
nsec(3)
isec(0)
threed('on')
u = np.linspace(0, 2 * np.pi, 100)
v = np.linspace(0, np.pi, 100)
x = 10 * np.outer(np.cos(u), np.sin(v))
y = 10 * np.outer(np.sin(u), np.sin(v))
z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
surf(x, y, z, cz=False, facecolor='b', edgecolor='k')
isec(1)
threed('on')
surf(x, y, z, cstride=4, cz=True, edgecolor='k')
isec(2)
threed('on')
surf(x, y, z, cz=True, cdata=y, edgecolor=None)
def trisurf3d_demo(**kwargs):
from matplotlib import cm
import numpy as np
from ifigure.interactive import figure, threed, trisurf, nsec, isec, lighting
# preparing the data, the same as mplot3d demo
n_angles = 36
n_radii = 8
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
x = np.append(0, (radii * np.cos(angles)).flatten())
y = np.append(0, (radii * np.sin(angles)).flatten())
z = np.sin(-x * y)
v = figure()
nsec(3)
isec(0)
threed('on')
trisurf(x, y, z, cmap=cm.jet, linewidth=0.2, cz=True)
isec(1)
threed('on')
trisurf(x, y, z, linewidth=0.2, color='b')
lighting(light=0.5, ambient=0.5)
isec(2)
threed('on')
trisurf(x,
y,
z * 0,
cmap=cm.jet,
linewidth=0.2,
cz=True,
cdata=z,
edgecolor=None)
def quiver_demo(**kwargs):
'''
quiver_demo(length = 1.0,
normalize = True,
facecolor = 'b',
edgecolor = None,
arrow_length_ratio = 0.3,
shaftsize = 0.01,
headsize = 0.01)
'''
from ifigure.interactive import quiver, threed, figure, lighting, view, isec, nsec
x, y, z = np.meshgrid(np.arange(-0.8, 1, 0.2), np.arange(-0.8, 1, 0.2),
np.arange(-0.8, 1, 0.8))
u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
np.sin(np.pi * z))
figure()
nsec(2)
isec(0)
threed('on')
lighting(light=0.5, ambient=0.7)
view('noclip')
quiver(x, y, z, u, v, w, length=0.3, facecolor='b')
isec(1)
threed('on')
lighting(light=0.5, ambient=0.7)
view('noclip')
quiver(x, y, z, u, v, w, cz=True, cdata=y, length=0.3)
def surf_demo2(**kwargs):
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from ifigure.interactive import surf, threed, figure, isec, nsec
figure(gl = True)
nsec(3)
isec(0)
threed('on')
u = np.linspace(0, 2 * np.pi, 100)
v = np.linspace(0, np.pi, 100)
x = 10 * np.outer(np.cos(u), np.sin(v))
y = 10 * np.outer(np.sin(u), np.sin(v))
z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
surf(x, y, z, cz = False, facecolor='b', edgecolor = 'k')
isec(1)
threed('on')
surf(x, y, z, cstride=4, cz = True, edgecolor = 'k')
isec(2)
threed('on')
surf(x, y, z, cz = True, cdata = y, edgecolor = None)
def trisurf3d_demo(**kwargs):
from matplotlib import cm
import numpy as np
from ifigure.interactive import figure, threed, trisurf , nsec, isec, lighting
# preparing the data, the same as mplot3d demo
n_angles = 36
n_radii = 8
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)
angles = np.repeat(angles[...,np.newaxis], n_radii, axis=1)
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())
z = np.sin(-x*y)
v = figure()
nsec(3)
isec(0)
threed('on')
trisurf(x, y, z, cmap=cm.jet, linewidth=0.2, cz = True)
isec(1)
threed('on')
trisurf(x, y, z, linewidth=0.2, color='b')
lighting(light = 0.5, ambient = 0.5)
isec(2)
threed('on')
trisurf(x, y, z*0, cmap=cm.jet, linewidth=0.2,
cz = True, cdata = z, edgecolor = None)
def quiver_demo(**kwargs):
'''
quiver_demo(length = 1.0,
normalize = True,
facecolor = 'b',
edgecolor = None,
arrow_length_ratio = 0.3,
shaftsize = 0.01,
headsize = 0.01)
'''
from ifigure.interactive import quiver, threed, figure, lighting, view, isec, nsec
x, y, z = np.meshgrid(np.arange(-0.8, 1, 0.2),
np.arange(-0.8, 1, 0.2),
np.arange(-0.8, 1, 0.8))
u = np.sin(np.pi * x) * np.cos(np.pi * y) * np.cos(np.pi * z)
v = -np.cos(np.pi * x) * np.sin(np.pi * y) * np.cos(np.pi * z)
w = (np.sqrt(2.0 / 3.0) * np.cos(np.pi * x) * np.cos(np.pi * y) *
np.sin(np.pi * z))
figure()
nsec(2)
isec(0)
threed('on')
lighting(light = 0.5, ambient = 0.7)
view('noclip')
quiver(x, y, z, u, v, w, length = 0.3, facecolor = 'b')
isec(1)
threed('on')
lighting(light = 0.5, ambient = 0.7)
view('noclip')
quiver(x, y, z, u, v, w, cz = True, cdata = y, length = 0.3)
def specgram_demo(): ''' the demo in matplotlib. But calls interactive.specgram ''' from pylab import arange, sin, where, logical_and, randn, pi dt = 0.0005 t = arange(0.0, 20.0, dt) s1 = sin(2*pi*100*t) s2 = 2*sin(2*pi*400*t) # create a transient "chirp" mask = where(logical_and(t>10, t<12), 1.0, 0.0) s2 = s2 * mask # add some noise into the mix nse = 0.01*randn(len(t)) x = s1 + s2 + nse # the signal NFFT = 1024 # the length of the windowing segments Fs = int(1.0/dt) # the sampling frequency from ifigure.interactive import figure, specgram, nsec, plot, isec, clog, hold figure() hold(True) nsec(2) isec(0) plot(t, x) isec(1) specgram(x, NFFT=NFFT, Fs=Fs, noverlap=900) clog()
def spec_demo():
'''
the demo in matplotlib. But calls
interactive.specgram
'''
from pylab import arange, sin, where, logical_and, randn, pi
dt = 0.0005
t = arange(0.0, 20.0, dt)
s1 = sin(2 * pi * 100 * t)
s2 = 2 * sin(2 * pi * 400 * t)
# create a transient "chirp"
mask = where(logical_and(t > 10, t < 12), 1.0, 0.0)
s2 = s2 * mask
# add some noise into the mix
nse = 0.01 * randn(len(t))
x = s1 + s2 + nse # the signal
NFFT = 1024 # the length of the windowing segments
Fs = int(1.0 / dt) # the sampling frequency
from ifigure.interactive import figure, spec, nsec, plot, isec, clog, hold
figure()
hold(True)
nsec(2)
isec(0)
plot(t, x)
isec(1)
spec(t, x, NFFT=NFFT, noverlap=900)
clog()
def onSlice(self, event):
from ifigure.interactive import figure, plot, nsec, isec, update, title, xlabel, ylabel
if event.mpl_xydata[0] is None:
return
for a in self._artists:
axes = a.axes
if axes is None:
return
data1, data2 = self.get_slice(event.mpl_xy[0],
event.mpl_xy[1], a)
if data1 is None:
continue
if data2 is None:
continue
figure()
nsec(2)
ou = update()
isec(0)
plot(data1[0], data1[1])
title('y slice : y = '+str(event.mpl_xydata[1]))
xlabel('x')
isec(1)
plot(data2[0], data2[1])
title('x slice : x = '+str(event.mpl_xydata[0]))
xlabel('y')
update(ou)
def hist_demo(**kwargs): from ifigure.interactive import hist, nsec, isec x1 = np.random.random_sample(4000) x2 = np.random.random_sample(400)*3 hist(x1) nsec(3) isec(1) hist([x1, x2]) isec(2) hist(x1.reshape(1000,4))
def hist_demo(**kwargs):
from ifigure.interactive import hist, nsec, isec
x1 = np.random.random_sample(4000)
x2 = np.random.random_sample(400) * 3
hist(x1)
nsec(3)
isec(1)
hist([x1, x2])
isec(2)
hist(x1.reshape(1000, 4))
def onSlice(self, event):
from ifigure.interactive import figure, plot, nsec, isec, update, title, xlabel, ylabel
if event.mpl_xydata[0] is None: return
for a in self._artists:
axes = a.axes
if axes is None: return
data1, data2 = self.get_slice(event.mpl_xy[0],
event.mpl_xy[1], a)
if data1 is None: continue
if data2 is None: continue
figure()
nsec(2)
ou = update()
isec(0)
plot(data1[0], data1[1])
title('y slice : y = '+str(event.mpl_xydata[1]))
xlabel('x')
isec(1)
plot(data2[0], data2[1])
title('x slice : x = '+str(event.mpl_xydata[0]))
xlabel('y')
update(ou)
def solid_demo(**kwargs):
'''
solid_demo2(cz = True, linewidths = 1.0, edgecolor='red')
solid_demo2(facecolor='b', linewidths = 1.0, edgecolor='red')
'''
from ifigure.interactive import solid, figure, threed, isec, nsec, lighting
import ifigure, os
# preparing the data, the same as mplot3d demo
theta = np.linspace(0, 2.0 * np.pi, endpoint=True, num=50)
r = np.linspace(0.01, 4.0, endpoint=True, num=50)
# This is the Mobius mapping, taking a u, v pair and returning an x, y, z
# triple
THETA, R = np.meshgrid(theta, r)
X = R * np.cos(THETA)
Y = R * np.sin(THETA)
Z = np.exp(-R * R)
import matplotlib.tri as mtri
tri = mtri.Triangulation(X.flatten(), Y.flatten())
# Triangulate parameter space to determine the triangles
if 'cz' in kwargs and kwargs['cz']:
v = np.dstack((
tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],
))
v = np.vstack((tri.x, tri.y, Z.flatten()))
kwargs['cdata'] = 5 * Z.flatten()[tri.triangles]
kwargs['cdata'] = 5 * Z.flatten()
kwargs['cz'] = True
# or #
v = np.dstack((
tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],
5 * Z.flatten()[tri.triangles],
))
v = np.vstack((tri.x, tri.y, Z.flatten(), 5 * Z.flatten()))
elif 'twod' in kwargs and kwargs['twod']:
v = np.dstack((tri.x[tri.triangles], tri.y[tri.triangles]), )
v = np.vstack((
tri.x,
tri.y,
))
kwargs.pop('twod')
kwargs['zvalue'] = 1.0
else:
v = np.dstack((
tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],
))
v = np.vstack((tri.x, tri.y, Z.flatten()))
idxset = tri.triangles
v = v.transpose()
print v.shape, idxset.shape
viewer = figure()
nsec(3)
isec(0)
threed('on')
solid(v, idxset, edgecolor='k', facecolor='b')
lighting(light=0.5, ambient=0.5)
isec(1)
threed('on')
solid(v, idxset, cz=True)
lighting(light=0.5, ambient=0.5)
isec(2)
threed('on')
solid(v, idxset, cz=True, cdata=v[..., 0], shade='linear')
lighting(light=0.5, ambient=0.5)
def solid_demo(**kwargs):
'''
solid_demo2(cz = True, linewidths = 1.0, edgecolor='red')
solid_demo2(facecolor='b', linewidths = 1.0, edgecolor='red')
'''
from ifigure.interactive import solid, figure, threed, isec, nsec, lighting
import ifigure, os
# preparing the data, the same as mplot3d demo
theta = np.linspace(0, 2.0 * np.pi, endpoint=True, num=50)
r = np.linspace(0.01, 4.0, endpoint=True, num=50)
# This is the Mobius mapping, taking a u, v pair and returning an x, y, z
# triple
THETA, R = np.meshgrid(theta, r)
X = R*np.cos(THETA)
Y = R*np.sin(THETA)
Z = np.exp(- R*R)
import matplotlib.tri as mtri
tri = mtri.Triangulation(X.flatten(), Y.flatten())
# Triangulate parameter space to determine the triangles
if 'cz' in kwargs and kwargs['cz']:
v = np.dstack((tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],))
v = np.vstack((tri.x, tri.y, Z.flatten()))
kwargs['cdata'] = 5*Z.flatten()[tri.triangles]
kwargs['cdata'] = 5*Z.flatten()
kwargs['cz'] = True
# or #
v = np.dstack((tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],
5 * Z.flatten()[tri.triangles],))
v = np.vstack((tri.x, tri.y, Z.flatten(), 5*Z.flatten()))
elif 'twod' in kwargs and kwargs['twod']:
v = np.dstack((tri.x[tri.triangles],
tri.y[tri.triangles]),)
v = np.vstack((tri.x, tri.y, ))
kwargs.pop('twod')
kwargs['zvalue'] = 1.0
else:
v = np.dstack((tri.x[tri.triangles],
tri.y[tri.triangles],
Z.flatten()[tri.triangles],))
v = np.vstack((tri.x, tri.y, Z.flatten()))
idxset=tri.triangles
v = v.transpose()
print v.shape, idxset.shape
viewer = figure()
nsec(3)
isec(0)
threed('on')
solid(v, idxset, edgecolor = 'k', facecolor = 'b')
lighting(light = 0.5, ambient = 0.5)
isec(1)
threed('on')
solid(v, idxset, cz = True)
lighting(light = 0.5, ambient = 0.5)
isec(2)
threed('on')
solid(v, idxset, cz = True, cdata = v[...,0], shade='linear')
lighting(light = 0.5, ambient = 0.5)