def compute_quads2(N=4):
x = np.linspace(0, N-1, N)
X, Y = np.meshgrid(x, x)
Z = X**2+Y**2
Z = Z.reshape((8, 2))
item = make.pcolor(Z) # checks if X, Y are properly generated in make.pcolor
return [item]
def __init__(self, xyz):
super().__init__(xlabel='Time', ylabel='Frequency',
xunit='s', yunit='Hz', yreverse=False, lock_aspect_ratio=False)
(x,y,z) = xyz
itm = make.pcolor(x,y,z)
self.plot.add_item(itm)
self.register_all_image_tools()
def compute_quads2(N=4):
x = np.linspace(0, N-1, N)
X, Y = np.meshgrid(x, x)
Z = X**2+Y**2
Z = Z.reshape((8, 2))
item = make.pcolor(Z) # checks if X, Y are properly generated in make.pcolor
return [item]
def pcolorshow(self, aX, aY, aData, title=None):
"""
Create 2D xyimage for guiqwt image dialog
Returns
--------
plot : ?
Plot widget in guiqwt ImageDialog
image : ?
new image object
"""
from guiqwt.builder import make
image = make.pcolor(
aX,
aY,
aData,
interpolation="nearest",
title=title,
)
plot = self.win.get_plot()
plot.add_item(image)
plot.do_autoscale()
plot.replot()
return plot, image
def compute_quads3():
pi = np.pi
cos = np.cos
sin = np.sin
items = []
for i, t in enumerate(np.linspace(0, 2 * pi, 16)):
X = np.array([[0.0, cos(t)], [-sin(t), cos(t) - sin(t)]])
Y = np.array([[0.0, sin(t)], [cos(t), sin(t) + cos(t)]])
Z = np.array([[1., 2.], [3., 4.]])
item = make.pcolor(X - 16 + 2 * i, Y - 3, Z)
items.append(item)
return items
def compute_quads3():
pi = np.pi
cos = np.cos
sin = np.sin
items = []
for i, t in enumerate( np.linspace(0, 2*pi, 16) ):
X = np.array( [[ 0.0, cos(t)],
[-sin(t), cos(t)-sin(t)]] )
Y = np.array( [[ 0.0, sin(t)],
[cos(t), sin(t)+cos(t)]] )
Z = np.array([[1., 2.], [3., 4.]])
item = make.pcolor(X-16+2*i, Y-3, Z)
items.append(item)
return items
def pcolor(*args):
"""
Create a pseudocolor plot of a 2-D array
Example:
import numpy as np
r = np.linspace(1., 16, 100)
th = np.linspace(0., np.pi, 100)
R, TH = np.meshgrid(r, th)
X = R*np.cos(TH)
Y = R*np.sin(TH)
Z = 4*TH+R
pcolor(X, Y, Z)
show()
"""
axe = gca()
img = make.pcolor(*args)
axe.add_image(img)
axe.yreverse = len(args) == 1
_show_if_interactive()
return [img]
def pcolor(*args):
"""
Create a pseudocolor plot of a 2-D array
Example:
import numpy as np
r = np.linspace(1., 16, 100)
th = np.linspace(0., np.pi, 100)
R, TH = np.meshgrid(r, th)
X = R*np.cos(TH)
Y = R*np.sin(TH)
Z = 4*TH+R
pcolor(X, Y, Z)
show()
"""
axe = gca()
img = make.pcolor(*args)
axe.add_image(img)
axe.yreverse = len(args) == 1
_show_if_interactive()
return [img]
def compute_quads(N=300):
X, Y, Z = polar_demo(N)
item = make.pcolor(X, Y, Z)
return [item]
def compute_quads(N=300):
X, Y, Z = polar_demo(N)
item = make.pcolor(X, Y, Z)
return [item]
