def onPlotTimeDep(self, e=None, *args, **kargs):
def plot_data(time, data):
x = np.array(time, dtype='float').flatten()
y = np.array(data, dtype='float').flatten()
x = [t for t in x if not np.isnan(t)]
y = [t for t in y if not np.isnan(t)]
return np.array(x), np.array(y)
help = self.td._var0._help
data = self.td._var0
import ifigure.interactive as plt
plt.figure()
time = data['18']['data']
new_plot = True
for key in help:
if not key in data: continue
if key == '18': continue
x, y = help[key]
if y.startswith('-'):
if not new_plot: plt.addpage()
try:
xdata, ydata = plot_data(time, data[key]['data'])
plt.plot(xdata, ydata)
plt.title(x)
new_plot = False
except:
print('failed to generate picture for', key)
new_plot = True
pass
def onSlice(self, event):
from ifigure.interactive import figure, plot, nsec, isec, update, title, xlabel, ylabel
if event.mpl_xydata[0] is None:
return
app = self.get_root_parent().app
data1, data2 = self.get_slice(event.mpl_xydata[0],
event.mpl_xydata[1])
if data1 is None:
return
if data2 is None:
return
from ifigure.widgets.book_viewer import BookViewer
book, viewer = app.open_newbook_in_newviewer(BookViewer)
book.get_page(0).set_section(2)
ou = update()
isec(0)
plot(data1[0], data1[1])
title('x slice : y = '+str(event.mpl_xydata[1]))
xlabel('x')
isec(1)
plot(data2[0], data2[1])
title('y slice : x = '+str(event.mpl_xydata[0]))
xlabel('y')
update(ou)
def onPlotTimeDep(self, e=None, *args, **kargs):
def plot_data(time, data):
x = np.array(time, dtype='float').flatten()
y = np.array(data, dtype='float').flatten()
x = [t for t in x if not np.isnan(t)]
y = [t for t in y if not np.isnan(t)]
return np.array(x), np.array(y)
help = self.td._var0._help
data = self.td._var0
import ifigure.interactive as plt
plt.figure()
time = data['18']['data']
new_plot = True
for key in help:
if not key in data: continue
if key == '18': continue
x, y = help[key]
if y.startswith('-'):
if not new_plot: plt.addpage()
try:
xdata, ydata = plot_data(time, data[key]['data'])
plt.plot(xdata, ydata)
plt.title(x)
new_plot = False
except:
print('failed to generate picture for', key)
new_plot = True
pass
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 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 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 plot_tiles3():
x, y, z = read_tile_data(list=True)
figure()
threed('on')
hold('on')
for k in range(100):
m = k + 100
plot(x[m], y[m], z[m], facecolor=[1, 0, 0, 1])
def plot_tiles():
'''
line plot of tile data
'''
x, y, z = read_tile_data()
figure()
threed('on')
plot(x, y, z)
def plot_tiles3():
x, y, z = read_tile_data(list = True)
figure()
threed('on')
hold('on')
for k in range(100):
m = k+100
plot(x[m], y[m], z[m], facecolor = [1, 0, 0, 1])
def plot_tiles():
'''
line plot of tile data
'''
x, y, z = read_tile_data()
figure()
threed('on')
plot(x, y, z)
def onSlice(self, event):
from ifigure.interactive import figure, plot, nsec, isec, update, title, xlabel, ylabel
if event.mpl_xydata[0] is None: return
app = self.get_root_parent().app
data1, data2 = self.get_slice(event.mpl_xydata[0],
event.mpl_xydata[1])
if data1 is None: return
if data2 is None: return
from ifigure.widgets.book_viewer import BookViewer
book, viewer = app.open_newbook_in_newviewer(BookViewer)
book.get_page(0).set_section(2)
ou = update()
isec(0)
plot(data1[0], data1[1])
title('x slice : y = '+str(event.mpl_xydata[1]))
xlabel('x')
isec(1)
plot(data2[0], data2[1])
title('y slice : x = '+str(event.mpl_xydata[0]))
xlabel('y')
update(ou)
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)
"""
# ** Template for a new script **
# Following variabs/functions can be used
# obj : script object
# top. proj : = obj.get_root_parent()
# wdir : proj.getvar('wdir')
# model: target model to work on
# param : model param
# app : proj.app (ifigure application)
# exit() : exit from script
# stop() : exit from script due to error
#
# args : parameter arguments passed to Run method (default = ())
# kwagrs : keyward arguments passed to Run method (default = {})
import numpy as np
import ifigure.interactive as plt
def example():
import numpy as np
x = np.linspace(0, 6.28)
y = np.sin(x)
return x, y
x, y = example()
plt.addpage()
plt.plot(x, y)
def plot_tiles2():
x, y, z = read_tile_data()
figure()
threed('on')
plot(x, y, z, facecolor=[1, 0, 0, 1])
def plot_tiles2():
x, y, z = read_tile_data()
figure()
threed('on')
plot(x, y, z, facecolor = [1, 0, 0, 1])
"""
# ** Template for a new script **
# Following variabs/functions can be used
# obj : script object
# top. proj : = obj.get_root_parent()
# wdir : proj.getvar('wdir')
# model: target model to work on
# param : model param
# app : proj.app (ifigure application)
# exit() : exit from script
# stop() : exit from script due to error
#
# args : parameter arguments passed to Run method (default = ())
# kwagrs : keyward arguments passed to Run method (default = {})
import numpy as np
import ifigure.interactive as plt
def example():
import numpy as np
x = np.linspace(0, 6.28)
y = np.sin(x)
return x, y
x, y = example()
plt.addpage()
plt.plot(x, y)
