def __init__(self, name):
self.dirname = os.path.join(name, "")
odtfile = max(glob.iglob("{}*.odt".format(self.dirname)),
key=os.path.getctime)
self.dt = oommfodt.OOMMFodt(odtfile).df
self.time = self.dt["t"].as_matrix() / 1e-12
self.slider = ipywidgets.IntSlider(
value=self.time[0],
min=self.time[0],
max=self.time[-1],
step=self.time[1] - self.time[0],
description="t (ps):",
readout=True,
layout=ipywidgets.Layout(width="100%"),
continuous_update=False)
self.select = ipywidgets.Select(options=list(self.dt.columns.values),
description="Output:")
self.play = ipywidgets.Play(value=self.time[0],
min=self.time[0],
max=self.time[-1],
step=self.time[1] - self.time[0])
ipywidgets.jslink((self.play, "value"), (self.slider, "value"))
self.slider.observe(self.update_output_slider)
self.select.observe(self.update_output_slider)
self.out = ipywidgets.Output(layout=ipywidgets.Layout(width="300%"))
self.update_output_slider(None)
def interactive_plot():
if part.dim != 2:
print('only works in 2D')
return
l = widgets.Layout(width='150px')
step_text = widgets.BoundedIntText(min=0,
max=part.num_frames - 1,
value=0,
layout=l)
step_slider = widgets.IntSlider(min=0,
max=part.num_frames - 1,
value=0,
readout=False,
continuous_update=False,
layout=l)
play_button = widgets.Play(min=0,
max=part.num_frames - 1,
step=1,
interval=500,
layout=l)
widgets.jslink((step_text, 'value'), (step_slider, 'value'))
widgets.jslink((step_text, 'value'), (play_button, 'value'))
img = widgets.interactive_output(draw, {'s': step_text})
wid = widgets.HBox(
[widgets.VBox([step_text, step_slider, play_button]), img])
display(wid)
def animation(self, t, v, interval, duration, a_step=10, a_interval=100, a_duration=10):
xs = LinearScale()
ys = LinearScale()
line = Lines(x=t[:interval], y=v[:, :interval], scales={'x': xs, 'y': ys})
xax = Axis(scale=xs, label='x', grid_lines='solid')
yax = Axis(scale=ys, orientation='vertical', tick_format='0.2f', label='y', grid_lines='solid')
fig = Figure(marks=[line], axes=[xax, yax], animation_duration=a_duration)
def on_value_change(change):
line.x = t[change['new']:interval + change['new']]
line.y = v[:, change['new']:interval + change['new']]
play = widgets.Play(
interval=a_interval,
value=0,
min=0,
max=duration,
step=a_step,
description="Press play",
disabled=False
)
slider = widgets.IntSlider(min=0, max=duration)
widgets.jslink((play, 'value'), (slider, 'value'))
slider.observe(on_value_change, names='value')
return play, slider, fig
def animate_list(lst, play=False, navigation=True, interval=200):
slider = widgets.IntSlider(min=0, max=len(lst) - 1, step=1, value=0)
if navigation:
prev_button = widgets.Button(
description='Prev',
disabled=False,
)
next_button = widgets.Button(
description='Next',
disabled=False,
)
def increment_value(arg):
slider.value += 1
def decrement_value(arg):
slider.value -= 1
prev_button.on_click(decrement_value)
next_button.on_click(increment_value)
if play:
play_widget = widgets.Play(interval=interval)
widgets.jslink((play_widget, 'value'), (slider, 'value'))
if play or navigation:
if play and navigation:
display(widgets.HBox([play_widget, prev_button, next_button]))
elif play:
display(play_widjet)
elif navigation:
display(widgets.HBox([prev_button, next_button]))
return interact(step_slice, lst=fixed(lst), step=slider)
def setup(self):
nsteps = self.dataset._widgets.nsteps
self.label = widgets.Label(self.dataset._widgets.current_time_fmt)
self.label.layout = widgets.Layout(width='150px')
self.slider = widgets.IntSlider(value=0, min=0, max=nsteps - 1, readout=False)
self.slider.layout = widgets.Layout(width='auto', flex='3 1 0%')
self.slider.observe(self._update_step, names='value')
self.play = widgets.Play(value=0, min=0, max=nsteps - 1, interval=100)
self.play_speed = widgets.IntSlider(value=30, min=0, max=50, readout=False)
self.play_speed.layout = widgets.Layout(width='auto', flex='1 1 0%')
self.play_speed.observe(self._update_play_speed, names='value')
widgets.jslink((self.play, 'value'), (self.slider, 'value'))
return widgets.HBox(
[
self.play,
widgets.Label('slow/fast: '),
self.play_speed,
widgets.Label('steps: '),
self.slider,
self.label,
],
layout=widgets.Layout(width='100%'),
)
def images(
pathstring="kh_*.h5",
directory="/home/dominik/FUW/Semestr3/PrezentacjaNiestabilności/pyro2/backup2",
interval=2000,
figsize=(20, 20),
):
p = pathlib.Path(directory)
frames = sorted(list(p.glob(pathstring)))[::1]
plotfile_name = str(frames[0])
sims = [io.read(str(frame)) for frame in frames]
fig = plt.figure(figsize=figsize, dpi=200, facecolor='w')
slider = ipywidgets.IntSlider(min=1,
max=len(frames) - 1,
step=1,
continuous_update=True)
play = ipywidgets.Play(min=1, max=len(frames) - 1, interval=interval)
display(play)
ipywidgets.jslink((play, 'value'), (slider, 'value'))
def interactive(i):
sims[i].dovis()
plt.show()
return ipywidgets.interactive(interactive, i=slider)
def show_vibs(calc, amplitude=1):
import traitlets
import nglview
import ipywidgets as widgets
from ipywidgets import Layout, HBox, VBox
trajs = []
freqs, modes = calc.get_vibrational_modes()
freq_list = [
'-%.2f' % (f.real * 1000) if np.iscomplexobj(f) else '%.2f' %
(f * 1000) for f in freqs
]
for n, mode in enumerate(modes):
trajs.append(
[a.positions for a in form_traj(calc.atoms, mode, amplitude)])
v = nglview.show_asetraj([calc.atoms])
v.clear_representations()
v.add_spacefill(radius_type='vdw',
radius_scale=0.5,
roughness=1,
metalness=0)
v._set_size('450px', '300px')
v.camera = 'orthographic'
v.parameters = dict(clipDist=0, sampleLevel=1)
select = widgets.Select(options=freq_list,
value=freq_list[-1],
layout=Layout(width='100px', height='270px'),
disabled=False)
play = widgets.Play(value=0,
min=-10,
max=10,
step=1,
_repeat=True,
description="Press play",
disabled=False)
slider = widgets.IntSlider(
value=0,
min=-10,
max=10,
)
class FnScope:
traj = trajs[-1]
def handle_slider_change(change):
v.set_coordinates({0: FnScope.traj[change.new]})
def handle_select_change(change):
FnScope.traj = trajs[change.new]
slider.observe(handle_slider_change, names='value')
select.observe(handle_select_change, names='index')
traitlets.link((play, 'value'), (slider, 'value'))
vib_viewer = HBox([VBox([v, HBox([play, slider])]), select])
display(vib_viewer)
def __init__(self, image_fnames):
self.display_w = 400
self.display_h = 400
self.fnames = image_fnames
self.index = 0
self.data = []
for fname in self.fnames:
with open(fname, "rb") as f:
self.data.append(f.read())
self.label = ipywidgets.Label(value=self.fnames[self.index])
self.image = ipywidgets.Image(value=self.data[self.index],
width=self.display_w,
height=self.display_h,
format="png")
self.check = ipywidgets.Checkbox(value=False,
description='Show absolute file path',
disabled=False,
indent=False)
self.slider = ipywidgets.IntSlider()
self.play = ipywidgets.Play(value=0,
min=0,
max=len(self.data)-1,
step=1,
interval=500)
ipywidgets.jslink((self.play, "min"), (self.slider, "min"))
ipywidgets.jslink((self.play, "max"), (self.slider, "max"))
ipywidgets.jslink((self.play, "value"), (self.slider, "value"))
def __init__(self,
*args,
min=0,
max=100,
value=100,
step=1,
interval=500,
label="Value",
continuous_update=True,
**kwargs):
# initialise the hbox widget
super().__init__([
widgets.Label(label + ": "),
widgets.Play(min=min, max=max, value=value, interval=interval),
widgets.IntSlider(
min=min,
max=max,
value=value,
step=step,
continuous_update=continuous_update,
),
])
for trait in ("min", "max", "value", "step"):
# first the two control elements:
widgets.link((self.children[1], trait), (self.children[2], trait))
# then link the latter with self:
widgets.link((self.children[2], trait), (self, trait))
widgets.link((self.children[1], "interval"), (self, "interval"))
def showSlice(filePath):
image = sitk.ReadImage(filePath)
img = sitk.GetArrayFromImage(image)
zSlice = img[1, :, :]
pl = figure(plot_width=400,
plot_height=400,
x_range=(0, 10),
y_range=(0, 10))
slicer = pl.image(image=[zSlice], x=[0], y=[0], dw=[10], dh=[10])
def update(z):
zSlicer = img[z, :, :]
slicer.data_source.data['image'] = [zSlicer]
push_notebook()
show(pl, notebook_handle=True)
play = widgets.Play(value=50,
min=0,
max=154,
step=1,
description="Press play",
disabled=False)
slider = widgets.IntSlider()
widgets.jslink((play, 'value'), (slider, 'value'))
interact(update, z=play)
display(slider)
def animate_glyphs(scatter, sequence_length=None, add=True, interval=200):
"""Animate scatter or quiver by adding a slider and play button.
:param scatter: scatter or quiver object
:param sequence_length: If sequence_length is None we try try our best to figure out, in case we do it badly, you can tell us what it should be
:param add: if True, add the widgets to the container, else return a HBox with the slider and play button
:param interval: interval in msec between each frame
:return:
"""
if sequence_length is None:
# get all non-None arrays
values = [getattr(scatter, name) for name in "x y z vx vy vz".split()]
values = [k for k in values if k is not None]
# sort them such that the higest dim is first
values.sort(key=lambda key: -len(key.shape))
sequence_length = values[0].shape[
0] # assume this defines the sequence length
fig = gcf()
fig.animation = interval
fig.animation_exponent = 1.
play = ipywidgets.Play(min=0,
max=sequence_length,
interval=interval,
value=0,
step=1)
slider = ipywidgets.IntSlider(min=0, max=play.max - 1)
ipywidgets.jslink((play, 'value'), (slider, 'value'))
ipywidgets.jslink((slider, 'value'), (scatter, 'sequence_index'))
control = ipywidgets.HBox([play, slider])
if add:
current.container.children += (control, )
else:
return control
def __init__(
self,
first,
last,
):
play = widgets.Play(
# interval=10,
value=0,
min=first,
max=last,
step=1,
description="Press play",
disabled=False,
continuous_updata=1,
)
slider = widgets.IntSlider()
widgets.jslink((play, "value"), (slider, "value"))
hbox = widgets.HBox([play, slider])
display(hbox)
fig, ax = plt.subplots(1, 1, figsize=(9, 6))
while True:
print(play.value)
time.sleep(2)
ax.plot(play.value)
fig.canvas.draw_idle()
def _create_play_bar(self, num_iterations: int) -> widgets.Widget:
"""Create play bar widget over iterations.
Args:
num_iterations (int): length of the play bar
Returns:
widgets.Widget: play bar widget
"""
play = widgets.Play(
value=1,
min=1,
max=num_iterations,
step=1,
interval=400,
disabled=False,
)
slider = widgets.IntSlider(1, 1, num_iterations)
# Linking slider and play bar values in javascript
widgets.jslink((play, "value"), (slider, "value"))
self.widgets["iteration"] = slider
return widgets.HBox([play, slider])
def SlideShower(folder, frame_duration=800):
slides = list([open(os.path.join(folder,s), 'rb').read()
for s in natural_sort(os.listdir(folder))])
x, y = _get_png_info(slides[0])
img = widgets.Image(value=slides[0], width=x, height=y)
def on_frame(change):
n = change['new']
img.value = slides[n]
play = widgets.Play(
value=0,
min=0,
max=len(slides),
step=1,
interval=frame_duration,
disabled=False
)
slider = widgets.IntSlider(
value=0,
min=0,
max=len(slides)-1,
step=1
)
slider.observe(on_frame, names='value')
widgets.jslink((play, 'value'), (slider, 'value'))
box = widgets.VBox([img, widgets.HBox([play, slider])])
return box
def AnimateList(lst, play=False, interval=200):
slider = widgets.IntSlider(min=0, max=len(lst) - 1, step=1, value=0)
if play:
play_widjet = widgets.Play(interval=interval)
widgets.jslink((play_widjet, 'value'), (slider, 'value'))
display(play_widjet)
return interact(StepSlice, lst=fixed(lst), step=slider)
def joint_player(self):
# no player for static view
static = True
for a in self.arg:
if not a.static:
static = False
if static:
return
# compute timeline
timeline = []
for v in self.arg:
p = v.ctrl.widgets["player"]
if p.timeline is not None:
timeline = timeline + p.timeline
timeline = list(set(timeline))
timeline.sort()
self.timeline = timeline
# init widgets
self.player = widgets.Play(value=0, min=0,
max=len(timeline) - 1,
interval=150)
self.slider = widgets.SelectionSlider(value=timeline[0],
options=timeline)
self.speed = widgets.Dropdown(
options=[("1", 250), ("2", 200), ("3", 150), ("4", 100),
("5", 50)],
value=150,
description="Speed:",
layout=widgets.Layout(
width="100px"
),
style={
"description_width": "45px"
}
)
def on_slider_change(change):
t = change.new
self.player.value = self.timeline.index(t)
for v in self.arg:
p = v.ctrl.widgets["player"]
if p.slider is not None and t in p.slider.options:
p.slider.value = t
self.slider.observe(on_slider_change, names="value")
def on_player_change(change):
t = self.timeline[change.new]
self.slider.value = t
for v in self.arg:
p = v.ctrl.widgets["player"]
if p.slider is not None and t in p.slider.options:
p.slider.value = t
self.player.observe(on_player_change, names="value")
widgets.link((self.speed, "value"), (self.player, "interval"))
def __init__(self, simulation, emitter):
self.simulation = simulation
self.hmap = simulation.hmap
self.emitter = emitter
self.coords = np.array(
[self.hmap.hmap[i].coords for i in range(self.hmap.n**2)])
self.colors = [
'green' if self.hmap.hmap[i].state == 'terrain' else 'steelblue'
for i in range(self.hmap.n**2)
]
ax_x = Axis(label="x", scale=bqplot.LinearScale(min=0, max=2))
ax_y = Axis(label="y",
scale=bqplot.LinearScale(min=0, max=2),
orientation="vertical",
side="left")
self.grid_scat = plt.scatter(x=self.coords[:, 0],
y=self.coords[:, 1],
colors=self.colors,
default_size=3,
default_opacities=[.3],
marker='rectangle')
self.particles_scat = plt.scatter(
x=[p.x for p in simulation.particles],
y=[p.y for p in simulation.particles])
self.fig = plt.Figure(marks=[self.grid_scat, self.particles_scat],
axes=[ax_x, ax_y],
animation_duration=100,
padding_x=.05,
padding_y=.05)
self.out = widgets.Output()
def on_value_change(change):
t = change['new']
if t == 1:
self.simulation.reset()
self.emitter.reset()
self.hmap.reset()
self.out.clear_output()
self.particles_scat.x = [p.x for p in self.simulation.particles]
self.particles_scat.y = [p.y for p in self.simulation.particles]
self.simulation.update_particles()
p = self.emitter.emit()
if p:
self.simulation.add_particle(p)
self.slider = widgets.IntSlider(min=0,
max=1000,
step=1,
continuous_update=True)
self.play = widgets.Play(min=1, max=1000, interval=150)
self.slider.observe(on_value_change, 'value')
widgets.jslink((self.play, 'value'), (self.slider, 'value'))
def animation_control(object, sequence_length=None, add=True, interval=200):
"""Animate scatter, quiver or mesh by adding a slider and play button.
:param object: :any:`Scatter` or :any:`Mesh` object (having an sequence_index property), or a list of these to control multiple.
:param sequence_length: If sequence_length is None we try try our best to figure out, in case we do it badly,
you can tell us what it should be. Should be equal to the S in the shape of the numpy arrays as for instance documented
in :any:`scatter` or :any:`plot_mesh`.
:param add: if True, add the widgets to the container, else return a HBox with the slider and play button. Useful when you
want to customise the layout of the widgets yourself.
:param interval: interval in msec between each frame
:return: If add is False, if returns the ipywidgets.HBox object containing the controls
"""
if isinstance(object, (list, tuple)):
objects = object
else:
objects = [object]
del object
if sequence_length is None:
# get all non-None arrays
sequence_lengths = []
for object in objects:
sequence_lengths_previous = list(sequence_lengths)
values = [getattr(object, name) for name in "x y z vx vy vz".split() if hasattr(object, name)]
values = [k for k in values if k is not None]
# sort them such that the higest dim is first
values.sort(key=lambda key: -len(key.shape))
try:
sequence_length = values[0].shape[0] # assume this defines the sequence length
if isinstance(object, ipv.Mesh): # for a mesh, it does not make sense to have less than 1 dimension
if len(values[0].shape) >= 2: # if just 1d, it is most likely not an animation
sequence_lengths.append(sequence_length)
else:
sequence_lengths.append(sequence_length)
except IndexError: # scalars get ignored
pass
if hasattr(object, 'color'):
color = object.color
if color is not None:
shape = color.shape
if len(shape) == 3: # would be the case for for (frame, point_index, color_index)
sequence_lengths.append(shape[0])
# TODO: maybe support arrays of string type of form (frame, point_index)
if len(sequence_lengths) == len(sequence_lengths_previous):
raise ValueError('no frame dimension found for object: {}'.format(object))
sequence_length = max(sequence_lengths)
fig = gcf()
fig.animation = interval
fig.animation_exponent = 1.
play = ipywidgets.Play(min=0, max=sequence_length - 1, interval=interval, value=0, step=1)
slider = ipywidgets.FloatSlider(min=0, max=play.max, step=1)
ipywidgets.jslink((play, 'value'), (slider, 'value'))
for object in objects:
ipywidgets.jslink((slider, 'value'), (object, 'sequence_index'))
control = ipywidgets.HBox([play, slider])
if add:
current.container.children += (control,)
else:
return control
def interactive_plot(num_frames=-1):
max_frames = x.shape[0] - 1
if (num_frames == -1) or (num_frames > max_frames):
num_frames = max_frames
s = t[:, np.newaxis, np.newaxis]
if anomalous == False:
#print('not anomalous')
data = x / np.sqrt(s)
else:
#print('anomalous')
data = x / np.sqrt(s * np.log(s))
def update(s):
fig, ax = plt.subplots()
for d in range(part.dim):
q = np.histogram(data[s, :, d], density=True)
h = q[1]
dh = np.diff(h) / 2
h = h[:-1] + dh
hnew = np.linspace(h.min(), h.max(), 300)
v = InterpolatedUnivariateSpline(h, q[0])(hnew)
if anomalous == False:
#print('not anomalous')
n = norm_pdf(hnew, mu=0, var=2 * D)
else:
#print('anomalous')
n = norm_pdf(hnew, mu=0, var=2 * D)
ax.plot(hnew, v)
ax.plot(hnew, n)
l = widgets.Layout(width='150px')
step_text = widgets.BoundedIntText(min=2,
max=num_frames,
value=0,
layout=l)
step_slider = widgets.IntSlider(min=2,
max=num_frames,
value=0,
readout=False,
continuous_update=False,
layout=l)
widgets.jslink((step_text, 'value'), (step_slider, 'value'))
play_button = widgets.Play(min=2,
max=num_frames,
step=1,
interval=50,
layout=l)
widgets.jslink((step_text, 'value'), (play_button, 'value'))
img = widgets.interactive_output(update, {'s': step_text})
display(
widgets.HBox(
[widgets.VBox([step_text, step_slider, play_button]), img]))
def unit_player(self):
# no player for static view
if self.arg.static:
return
# compute timeline
layer, legend, profile = self.arg.get()
temp_path = self.arg.temp_path
file_list = self.arg.file_list
timeline = [t.split(".")[0] for t in self.arg.file_list]
timeline = [parser.parse(t) for t in timeline]
self.timeline = timeline
# init widgets
self.player = widgets.Play(value=0, min=0,
max=len(timeline) - 1,
interval=150)
self.slider = widgets.SelectionSlider(value=timeline[0],
options=timeline)
self.speed = widgets.Dropdown(
options=[("1", 250), ("2", 200), ("3", 150), ("4", 100),
("5", 50)],
value=150,
description="Speed:",
layout=widgets.Layout(
width="100px"
),
style={
"description_width": "45px"
}
)
# slider change event
def on_slider_change(change):
i = self.timeline.index(change.new)
self.player.value = i # regarding change on player
img = os.path.join(temp_path, file_list[i])
layer.url = View.Layer.read_image(img)
self.slider.observe(on_slider_change, names="value")
# player change event
def on_player_change(change):
t = self.timeline[change.new]
self.slider.value = t # regarding change on slider
img = os.path.join(temp_path, file_list[change.new])
layer.url = View.Layer.read_image(img)
self.player.observe(on_player_change, names="value")
# speed change event
widgets.link((self.speed, "value"), (self.player, "interval"))
def __init__(self, name):
self.dirname = os.path.join(name, "")
odtfile = max(glob.iglob("{}*.odt".format(self.dirname)),
key=os.path.getctime)
self.omffiles = sorted(glob.iglob("{}*.omf".format(self.dirname)),
key=os.path.getctime)
last_omf_file = max(glob.iglob("{}*.omf".format(self.dirname)),
key=os.path.getctime)
self.last_field = df.read_oommf_file(last_omf_file)
self.dt = oommfodt.OOMMFodt(odtfile).df
self.stage = self.dt["stage"].as_matrix()
self.slider = ipywidgets.IntSlider(
value=self.stage[0],
min=self.stage[0],
max=self.stage[-1],
step=self.stage[1] - self.stage[0],
description="Stage:",
readout=True,
layout=ipywidgets.Layout(width="80%"),
continuous_update=False)
self.slice_slider = ipywidgets.FloatSlider(
value=0,
min=0,
max=1,
step=0.01,
description="Point:",
readout=True,
layout=ipywidgets.Layout(width="75.5%"),
continuous_update=False)
self.play = ipywidgets.Play(value=self.stage[0],
min=self.stage[0],
max=self.stage[-1],
step=self.stage[1] - self.stage[0])
self.select = ipywidgets.RadioButtons(options=["x", "y", "z"],
description="Slice:")
ipywidgets.jslink((self.play, "value"), (self.slider, "value"))
self.slider.observe(self.update_plot)
self.slice_slider.observe(self.update_plot)
self.select.observe(self.update_plot)
self.out = ipywidgets.Output(layout=ipywidgets.Layout(width="300%"))
self.update_plot(None)
def animation_control(object, sequence_length=None, add=True, interval=200):
"""Animate scatter, quiver or mesh by adding a slider and play button.
:param object: :any:`Scatter` or :any:`Mesh` object (having an sequence_index property), or a list of these to control multiple.
:param sequence_length: If sequence_length is None we try try our best to figure out, in case we do it badly,
you can tell us what it should be. Should be equal to the S in the shape of the numpy arrays as for instance documented
in :any:`scatter` or :any:`plot_mesh`.
:param add: if True, add the widgets to the container, else return a HBox with the slider and play button. Useful when you
want to customise the layout of the widgets yourself.
:param interval: interval in msec between each frame
:return: If add is False, if returns the ipywidgets.HBox object containing the controls
"""
if isinstance(object, (list, tuple)):
objects = object
else:
objects = [object]
del object
if sequence_length is None:
# get all non-None arrays
sequence_lengths = []
for object in objects:
values = [
getattr(object, name) for name in "x y z vx vy vz".split()
if hasattr(object, name)
]
values = [k for k in values if k is not None]
# sort them such that the higest dim is first
values.sort(key=lambda key: -len(key.shape))
sequence_length = values[0].shape[
0] # assume this defines the sequence length
sequence_lengths.append(sequence_length)
sequence_length = max(sequence_lengths)
fig = gcf()
fig.animation = interval
fig.animation_exponent = 1.
play = ipywidgets.Play(min=0,
max=sequence_length - 1,
interval=interval,
value=0,
step=1)
slider = ipywidgets.FloatSlider(min=0, max=play.max, step=1)
ipywidgets.jslink((play, 'value'), (slider, 'value'))
for object in objects:
ipywidgets.jslink((slider, 'value'), (object, 'sequence_index'))
control = ipywidgets.HBox([play, slider])
if add:
current.container.children += (control, )
else:
return control
def __get_play_widget(function):
# type: (typing.Any) -> typing.Any
""" Generate play widget.
:param function: Function to associate with Play.
:return: Play widget.
"""
play = widgets.interactive(function,
i=widgets.Play(value=0,
min=0,
max=500,
step=1,
interval=5000,
description="Press play",
disabled=False))
return play
def __init__(self, file, file_count):
self.temp_data = load(file)['arrays']
self.frame = widgets.IntSlider(
min=0,
max=file_count,
step=1,
value=0,
description='frame',
layout=widgets.Layout(width='500px'),
continuous_update=False,
)
self.play_button = widgets.Play(
min=0,
max=file_count,
step=1,
disabled=False,
)
self.link = widgets.jslink(
(self.frame, 'value'),
(self.play_button, 'value'),
)
self.delay_box = widgets.FloatText(
value=0.2,
description='Delay',
disabled=False,
layout=widgets.Layout(width='240px', display='flex'),
)
self.save_figure = widgets.Text(
value='',
placeholder='example.pdf',
description='Save figure',
disabled=False,
layout=widgets.Layout(width='240px', display='flex'),
)
self.save_all_plots = widgets.ToggleButton(
value=False,
description='Save all plots!',
disabled=False,
tooltip='Saves the corresponding plots for all the' +
' frames in the presently set styling.',
icon='',
)
self.particles = {}
for array_name in self.temp_data.keys():
self.particles[array_name] = ParticleArrayWidgets(
self.temp_data[array_name], )
def animate_list(lst, play=False, navigation=True, interval=200):
"""
Wrapper function that creates a widget with navigation over a list of visualization objects
Args:
lst: list of static visualization objects to navigate over
play: if True, widget will contain basic audio like playbar
navigation: if True, widget will contain prev and next buttons
interval: if play=True, interval will set the delay between frame change (in ms)
Returns:
ipywidgets.interact object navigating over lst
"""
slider = widgets.IntSlider(min=0, max=len(lst) - 1, step=1, value=0)
if navigation:
prev_button = widgets.Button(
description='Prev',
disabled=False,
)
next_button = widgets.Button(
description='Next',
disabled=False,
)
def increment_value(arg):
slider.value += 1
def decrement_value(arg):
slider.value -= 1
prev_button.on_click(decrement_value)
next_button.on_click(increment_value)
if play:
play_widget = widgets.Play(interval=interval)
widgets.jslink((play_widget, 'value'), (slider, 'value'))
if play or navigation:
if play and navigation:
display(widgets.HBox([play_widget, prev_button, next_button]))
elif play:
display(play_widget)
elif navigation:
display(widgets.HBox([prev_button, next_button]))
return interact(step_slice, lst=fixed(lst), step=slider)
def animated_frames(animation_segments, animation_vertices):
import matplotlib.pyplot as plt
import numpy as np
import os
import ipywidgets
from ipywidgets import interact, IntSlider
from IPython.display import display
plt.close()
fig, ax = plt.subplots()
title = ax.set_title("Iteration 0")
def update(f: int = 0):
ax.cla()
frame_segments = animation_segments[f].T
# frame_segments = animation_segments[f]
frame_vertices = animation_vertices[f]
if frame_vertices.size > 0:
scatterplot = ax.scatter(frame_vertices[:, 0], frame_vertices[:,
1])
# TODO optimize the line below - done?
lines = ax.scatter(frame_segments[0], frame_segments[1], 0.1, 'k')
# lines = [ax.plot(segment[:, 0], segment[:, 1]) for segment in frame_segments]
ax.axis('equal')
title = ax.set_title(f"Iteration {f}/{len(animation_segments) - 1}")
fig.canvas.draw()
# fig.savefig(f"{folder}/{f:06}.png")
plt.show()
play = ipywidgets.Play(interval=200,
value=0,
min=0,
max=len(animation_segments) - 1,
step=1,
description="Press play",
disabled=False)
slider = IntSlider(min=0, max=len(animation_segments) - 1, step=1)
# w = interactive()
link = ipywidgets.jslink((play, 'value'), (slider, 'value'))
display(slider)
# ipywidgets.HBox([play, slider])
# 1.png
return interact(update, f=play)
def __init__(self,
fpath,
vis_fx=None,
dtypes=("pcd", "image", "conf"),
sleep=500):
# Parse args
self.fpath = fpath
self.subdirs = [x for x in fpath.iterdir()]
imgs = []
for sdir in self.subdirs:
imgs += [
x.stem for x in self.fpath.glob(f"{str(sdir.stem)}/pcd/*.pcd")
]
self.imgs = sorted(imgs)
self.dtypes = dtypes
self.vis_fx = vis_fx
# Create all widgets
self.selected = widgets.Text(value=imgs[0], layout={'width': '30%'})
self.play = widgets.Play(value=0,
min=0,
max=len(imgs) - 1,
step=1,
interval=sleep,
disabled=False,
continuous_update=False)
self.slider = widgets.IntSlider(
min=0,
max=len(imgs) - 1,
value=0,
continuous_update=False,
)
self.play.observe(self.change)
self.slider.observe(self.change)
widgets.jslink((self.play, "value"), (self.slider, "value"))
vbox = widgets.VBox([self.selected, self.slider, self.play])
display(vbox)
# Matplotlib 'canvas' init
if self.vis_fx is not None:
self.main_fig = plt.figure(figsize=(6, 6))
self.fig = self.main_fig.add_subplot(111)
# Initial setup
self.change({"name": "value"})
def pos_timelapse(arr,pos=0):
"""
Assumes the first column is 'pos' and the second column is time steps
"""
idx = arr['pos']==pos
fig = plt.figure(f"position {pos}")
im = plt.imshow(arr[idx][0]['image'])
def on_value_change(change):
i = change['new']
im.set_data(arr[idx][i]['image'])
fig.canvas.draw()
slider = widgets.IntSlider(min=0, max=np.sum(idx)-1, step=1, continuous_update=True)
play = widgets.Play(min=0,max=np.sum(idx)-1, interval=200,_repeat=True,_playing=True,step=1)
slider.observe(on_value_change, 'value')
widgets.jslink((play, 'value'), (slider, 'value'))
return widgets.HBox([play,slider])
def plot_solution(view):
line_para = []
size = view['size'][0]
xx, sol = view.apply(main, 1)[0]
x_sc, y_sc = LinearScale(), LinearScale()
ax_x = Axis(label='x', scale=x_sc, grid_lines='solid')
ax_y = Axis(label='solution', scale=y_sc, orientation='vertical', grid_lines='solid')
for i in range(size):
line_para.append(Lines(x=xx[i], y=sol[0][i], scales={'x': x_sc, 'y': y_sc}))
play = widgets.Play(
value=0,
min=0,
max=100,
step=1,
description="Press play",
disabled=False,
continuous_update=False
)
iteration = widgets.IntSlider(continuous_update=False)
widgets.jslink((play, 'value'), (iteration, 'value'))
def update_ite(iteration):
import time
for i in range(size):
line_para[i].y=sol[iteration][i]
time.sleep(.1)
def change_overlap(overlap):
xx[:], sol[:] = view.apply(main, overlap)[0]
iteration.value = 0
update_ite(0)
for i in range(size):
line_para[i].x=xx[i]
line_para[i].y=sol[0][i]
widgets.interact(update_ite, iteration=iteration);
overlap = widgets.IntSlider(value=1, min=0, max=20, step=1, continuous_update=False)
widgets.interact(change_overlap, overlap=overlap)
fig_para = Figure(axes=[ax_x, ax_y], marks=line_para, animation_duration=100)
return widgets.VBox([widgets.HBox([play, iteration, overlap]), fig_para])
def make_controls(self):
self.playbutton = ipy.Play(value=0,
min=0,
max=self.traj.num_frames - 1)
self.slider = ipy.IntSlider(value_selects='framenum',
value=0,
description='Frame:',
min=0,
max=len(self.traj) - 1,
readout=False)
self.readout = ipy.HTML(value='/%d' % (self.traj.num_frames - 1))
self.annotation = ipy.HTML()
traitlets.link((self.playbutton, 'value'), (self.slider, 'value'))
traitlets.link((self.slider, 'value'), (self, 'current_frame'))
return VBox(
(self.annotation, HBox(
(self.playbutton, self.slider, self.readout))))
