def makeinteract3diagrams(v, z):
Q = interactive(lambda x0, dx: view3diagrams(
x0, dx, v1=v[0], v2=v[1], v3=v[2], z1=z[0], z2=z[1]),
x0=IntSlider(min=0, max=10, step=1, value=4),
dx=IntSlider(min=0, max=20, step=1, value=4))
return Q
def _display_on_map_iteractive(self, index, map_name, **kwargs):
view = _MapView(self.solutions, map_name, **kwargs)
slider = IntSlider(min=1, max=len(self.solutions), value=index + 1)
slider.on_trait_change(
lambda x: view(slider.get_state("value")["value"]))
display(slider)
view(1)
def makeinteractTXdiagram():
Q = interactive(lambda x0, dx: viewTXdiagram(
x0, dx, v1=v1, v2=v2, v3=v3, z1=z1, z2=z2),
x0=IntSlider(min=1, max=10, step=1, value=4),
dx=IntSlider(min=1, max=10, step=1, value=4))
return Q
def display_on_map(self, map_name=None):
view = _MapView(self.solutions, map_name)
slider = IntSlider(min=1, max=len(self.solutions), value=1)
slider.on_trait_change(
lambda x: view(slider.get_state("value")["value"]))
display(slider)
view(1)
def iview(self, width = 400):
f = lambda rows_start, rows_end,cols: display(self[list(cols)].iloc[rows_start:rows_end])
rs = IntSlider(min=0, max=self.shape[0], width=width)
re = IntSlider(min=0, max=self.shape[0], width= width)
link((re, 'min'), (rs, 'value'))
interact(f,
cols=SelectMultiple(options=self.columns.tolist()),
rows_start=rs,
rows_end=re, width=width)
def makeinteractTXwigglediagram():
v1 = 600.
v2 = 1200.
v3 = 1700.
z1, z2 = 5., 10.
Q = interactive(lambda x0, dx, tI, v, Fit=False: viewWiggleTX(
x0, dx, tI, v, Fit=Fit, v1=v1, v2=v2, v3=v3, z1=z1, z2=z2),
x0=IntSlider(min=1, max=10, step=1, value=4),
dx=IntSlider(min=1, max=10, step=1, value=4),
tI=FloatSlider(min=0., max=0.25, step=0.0025, value=0.05),
v=FloatSlider(min=400, max=2000, step=50, value=1000.))
return Q
def TrajectorySliderView(traj, frame=0, **kwargs):
"""IPython notebook widget for viewing trajectories in the browser with
an interactiver slider.
Parameters
----------
traj : Trajectory
Trajectory for which you want the viewer.
frame : int, default=0
Frame to set the slider to by default
kwargs : string
See TrajectoryView for all available options.
See Also
--------
TrajectoryView: IPython notebook widget for displaying trajectories in the
browser with WebGL.
"""
widget = TrajectoryView(traj, frame=frame, **kwargs)
def slide(frame):
widget.frame = frame
s = IntSlider(min=0, max=traj.n_frames - 1, value=frame)
slider = interactive(slide, frame=s)
container = Box()
container.children = [widget, slider]
return container
def makeinteractTXwigglediagram():
Q = interactive(lambda x0, dx, tI, v, Fit=False: showWiggleTX(x0,
dx,
v1=v1,
v2=v2,
v3=v3,
z1=z1,
z2=z2,
tI=tI,
v=v,
Fit=Fit,
noise=True),
x0=IntSlider(min=1, max=10, step=1, value=4),
dx=IntSlider(min=1, max=10, step=1, value=4),
tI=FloatSlider(min=0., max=0.25, step=0.0025, value=0.05),
v=FloatSlider(min=400, max=2000, step=50, value=1000.))
return Q
def PseudoSectionWidget(survey, flag):
dx = 5
xr = np.arange(-40, 41, dx)
if flag == "PoleDipole":
ntx, nmax = xr.size - 2, 8
dxr = np.diff(xr)
elif flag == "DipolePole":
ntx, nmax = xr.size - 1, 7
dxr = xr
elif flag == "DipoleDipole":
ntx, nmax = xr.size - 3, 8
dxr = np.diff(xr)
xzlocs = getPseudoLocs(dxr, ntx, nmax, flag)
PseudoSectionPlot = lambda i, j: PseudoSectionPlotfnc(i, j, survey, flag)
return interact(PseudoSectionPlot,
i=IntSlider(min=0, max=ntx - 1, step=1, value=0),
j=IntSlider(min=0, max=nmax - 1, step=1, value=0))
def _widget_abbrev_single_value(o):
"""Make widgets from single values, which can be used as parameter defaults."""
if isinstance(o, string_types):
return Text(value=unicode_type(o))
elif isinstance(o, dict):
return Dropdown(options=o)
elif isinstance(o, bool):
return Checkbox(value=o)
elif isinstance(o, float):
min, max, value = _get_min_max_value(None, None, o)
return FloatSlider(value=o, min=min, max=max)
elif isinstance(o, int):
min, max, value = _get_min_max_value(None, None, o)
return IntSlider(value=o, min=min, max=max)
else:
return None
def _display_on_map_iteractive(self, index, map_name, **kwargs):
view = _MapView(self.solutions, map_name, **kwargs)
slider = IntSlider(min=1, max=len(self.solutions), value=index + 1)
slider.on_trait_change(lambda x: view(slider.get_state("value")["value"]))
display(slider)
view(1)
def plot_tree_interactive():
from IPython.html.widgets import interactive, IntSlider
slider = IntSlider(min=0, max=8, step=1, value=0)
return interactive(plot_tree, max_depth=slider)
plt.plot(x,data[:])
plt.xlabel("y")
plt.ylabel("w")
plt.figure()
scalex = np.sqrt(np.abs(data[1]/x[1]) * p['viscosity']) / p['viscosity']
scaley = 1./np.sqrt(np.abs(data[1]/x[1]) * p['viscosity'])
plt.plot(scalex*x[:50],scaley*data[:50], 'x-')
plt.grid(True)
plt.xlabel("y+")
plt.ylabel("w+")
plt.figure()
scalex = np.sqrt(np.abs(data[-1]/(x[-1]-1)) * p['viscosity']) / p['viscosity']
scaley = 1./np.sqrt(np.abs(data[-1]/(x[-1]-1)) * p['viscosity'])
plt.plot(scalex*(x[-50:]-1),scaley*data[-50:], 'x-')
plt.grid(True)
plt.xlabel("y+")
plt.ylabel("w+")
interact(plot_profile,
frame=(0,64),
index=IntSlider(min=0,max=sc[0.0,'w_xy'].shape[0]-1,step=8,value=int(sc[0.0,'w_xy'].shape[0]*7/9))
)
# In[8]:
get_ipython().magic('install_ext http://raw.github.com/jrjohansson/version_information/master/version_information.py')
get_ipython().magic('load_ext version_information')
get_ipython().magic('version_information numpy, matplotlib, slict, chest, glopen, globussh')
def makeinteractSeisRefracSurvey():
Q = interactive(viewSeisRefracSurvey,
x0=IntSlider(min=0, max=10, step=1, value=0),
dx=IntSlider(min=1, max=10, step=1, value=8))
return Q
def MidpointPseudoSectionWidget():
ntx = 18
return interact(DipoleDipolefun,
i=IntSlider(min=0, max=ntx - 1, step=1, value=0))
def display_on_map(self, map_name=None):
view = _MapView(self.solutions, map_name)
slider = IntSlider(min=1, max=len(self.solutions), value=1)
slider.on_trait_change(lambda x: view(slider.get_state("value")["value"]))
display(slider)
view(1)