def _nglButtons(self, ngl_widget, statetype, states):
# Adds buttons for enabling and disabling macrostate visualizations
import IPython.html.widgets as widgets
from IPython.display import display
originalreps = ngl_widget.representations.copy()
otherreps = originalreps[:-len(states)]
originalreps = originalreps[-len(states):]
container = []
for s in states:
w = widgets.Checkbox(description="{} {}".format(statetype, s))
w.value = True
container.append(w)
def updateReps(name):
ngl_widget.isClick = True
reps = otherreps.copy()
for i, w in enumerate(container):
if w.value:
reps.append(originalreps[i])
ngl_widget.representations = reps
for w in container:
w.on_trait_change(updateReps, "value")
hb = widgets.HBox(container)
display(hb)
def add_run(data, name, Z):
run_count = frame.get_state_data("run_count")
runs_data = frame.get_state_data("runs")
widget_name = "runs_widget_#" + str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
runs_data.append((data, name, Z, widget_name))
frame.set_state_children("runs", [widget_name])
frame.set_state_data("runs", runs_data)
run_count += 1
frame.set_state_data("run_count", run_count)
def add_data_set(data, name):
data_set_count = frame.get_state_data("data_set_count")
data_sets = frame.get_state_data("data_sets")
widget_name = "data_set_widget_#" + str(data_set_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
data_sets.append((data, name, widget_name))
frame.set_state_children("data_sets", [widget_name])
frame.set_state_data("data_sets", data_sets)
data_set_count += 1
frame.set_state_data("data_set_count", data_set_count)
def add_run(state, data, name):
run_count = frame.get_state_data("run_count")
state_data = frame.get_state_data("runs",state)
styles = frame.get_state_data("styles")
style = styles.get_style()
line_color = style["color"]
line_style = style["shape"]
widget_name = "runs_widget_#"+str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, state, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
state_data.append((data, name, line_style, line_color, widget_name))
frame.set_state_children("runs", [widget_name], state=state)
frame.set_state_data("runs", state_data, state)
def __init__(self, *args, **kwd):
toggle_types = {'checkbox': widgets.Checkbox,
'button': widgets.ToggleButton}
toggle_type = kwd.pop('toggle_type', 'checkbox')
if toggle_type not in toggle_types:
raise ValueError('toggle_type must be one of '
'{}'.format(toggle_type.keys()))
super(ToggleContainer, self).__init__(*args, **kwd)
self._toggle_container = widgets.Box(description='toggle holder')
self._checkbox = toggle_types[toggle_type](description=self.description)
self._toggle_container.children = [self._checkbox]
self._container = widgets.Box(description="Toggle-able container")
self._state_monitor = widgets.Checkbox(visible=False)
self.children = [
self._toggle_container,
self._container,
self._state_monitor
]
self._link_children()
self._child_notify_parent_on_change(self.toggle)
def simulate(transitions,
input='10101',
unary=False,
input_unary=12,
pause=0.05,
step_from=0,
step_to=100,
step_slack=100):
"""loads widget to simulate a given TM"""
# widgets to specify the range of steps to simulate
from_w = widgets.IntText(value=step_from, description="simulate from step")
to_w = widgets.IntText(value=step_to, description="simulate to step")
pause_w = widgets.FloatText(value=pause, description="pause between steps")
# widget to indicate current step
steps_w = widgets.IntSlider(min=0,
max=step_to + step_slack,
value=0,
description="current step")
# subroutine to animate the simulation
def animate(x):
steps_w.max = to_w.value + step_slack
for steps in range(from_w.value, to_w.value + 1):
steps_w.value = steps
sleep(pause_w.value)
# button to start animated simulation
simulate_w = widgets.Button(description='simulate')
simulate_w.on_click(animate)
input_w = widgets.Text(value=input, description="input")
unary_w = widgets.Checkbox(value=unary, description='unary?')
input_unary_w = widgets.IntText(value=input_unary,
description='input number')
def update():
if unary_w.value:
input_w.disabled = True
input_unary_w.visible = True
input_w.value = '1' * input_unary_w.value
else:
input_w.disabled = False
input_unary_w.visible = False
update()
unary_w.on_trait_change(update)
input_unary_w.on_trait_change(update)
# display control widgets
box = widgets.VBox(
children=[simulate_w, from_w, to_w, pause_w, unary_w, input_unary_w])
display(box)
# widgets to display simulation
interact(display_wrap(run),
transitions=fixed(transitions),
input=input_w,
steps=steps_w)
def start_SYGMA():
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",
background_color="white",
border_color="LightGrey",
border_radius="0.5em")
frame.set_default_io_style(padding="0.25em",
margin="0.25em",
border_color="LightGrey",
border_radius="0.5em")
tablist = ["sim_page", "plot_page", "custom_imf_page", "get_table_page"]
yield_list = {
"Analytic perscription": {
"Delay":
"yield_tables/isotope_yield_table_MESA_only_fryer12_delay.txt",
"Rapid":
"yield_tables/isotope_yield_table_MESA_only_fryer12_rapid.txt",
"Exclude neutron-alpha rich freeze-out":
"yield_tables/isotope_yield_table_MESA_only_fryer12_exclnalpha.txt"
},
"Ye=0.4982": {
"Fallback at Ye":
"yield_tables/isotope_yield_table_MESA_only_ye.txt",
"Fallback motivated by GCE":
"yield_tables/isotope_yield_table_MESA_only_ye_fallback.txt"
}
}
group_style = {"border_style": "none", "border_radius": "0em"}
text_box_style = {"width": "10em"}
button_style = {"font_size": "1.25em", "font_weight": "bold"}
first_tab_style = {"border_radius": "0em 0.5em 0.5em 0.5em"}
custom_imf_dir = os.environ["SYGMADIR"] + "/SYGMA_widget_imfs/"
default_custom_imf_text = "\n#File to define a custom IMF\n#Define your IMF in custom_imf\n#so that the return value represents\n#the chosen IMF value for the input mass\n\ndef custom_imf(mass):\n #Salpeter IMF\n return mass**-2.35\n"
states_plot = [
"plot_totmasses", "plot_mass", "plot_spectro", "plot_mass_range"
]
states_sim_plot = ["run_sim"] + states_plot
states_cimf = ["custom_imf", "load_custom_imf"]
states = states_sim_plot + states_cimf
frame.add_state(states)
isotopes_all = [
'H-1', 'H-2', 'He-3', 'He-4', 'Li-7', 'B-11', 'C-12', 'C-13', 'N-14',
'N-15', 'O-16', 'O-17', 'O-18', 'F-19', 'Ne-20', 'Ne-21', 'Ne-22',
'Na-23', 'Mg-24', 'Mg-25', 'Mg-26', 'Al-27', 'Si-28', 'Si-29', 'Si-30',
'P-31', 'S-32', 'S-33', 'S-34', 'S-36', 'Cl-35', 'Cl-37', 'Ar-36',
'Ar-38', 'Ar-40', 'K-39', 'K-40', 'K-41', 'Ca-40', 'Ca-42', 'Ca-43',
'Ca-44', 'Ca-46', 'Ca-48', 'Sc-45', 'Ti-46', 'Ti-47', 'Ti-48', 'Ti-49',
'Ti-50', 'V-50', 'V-51', 'Cr-50', 'Cr-52', 'Cr-53', 'Cr-54', 'Mn-55',
'Fe-54', 'Fe-56', 'Fe-57', 'Fe-58', 'Co-59', 'Ni-58', 'Ni-60', 'Ni-61',
'Ni-62', 'Ni-64'
]
elements_all = [
'H', 'He', 'Li', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si',
'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe',
'Co', 'Ni'
]
isotopes_sn1a = [
'C-12', 'C-13', 'N-14', 'N-15', 'O-16', 'O-17', 'O-18', 'F-19',
'Ne-20', 'Ne-21', 'Ne-22', 'Na-23', 'Mg-24', 'Mg-25', 'Mg-26', 'Al-27',
'Si-28', 'Si-29', 'Si-30', 'P-31', 'S-32', 'S-33', 'S-34', 'S-36',
'Cl-35', 'Cl-37', 'Ar-36', 'Ar-38', 'Ar-40', 'K-39', 'K-40', 'K-41',
'Ca-40', 'Ca-42', 'Ca-43', 'Ca-44', 'Ca-46', 'Ca-48', 'Sc-45', 'Ti-46',
'Ti-47', 'Ti-48', 'Ti-49', 'Ti-50', 'V-50', 'V-51', 'Cr-50', 'Cr-52',
'Cr-53', 'Cr-54', 'Mn-55', 'Fe-54', 'Fe-56', 'Fe-57', 'Fe-58', 'Co-59',
'Ni-58', 'Ni-60', 'Ni-61', 'Ni-62', 'Ni-64'
]
elements_sn1a = [
'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar',
'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni'
]
isotopes_sel_mult = ["All"] + isotopes_all
elements_sel_mult = ["All"] + elements_all
line_styles = ["-", "--", ":", "-."]
# line_colors=["k", "r", "g", "b", "c", "m", "y"]
line_colors = ["k", "r", "b", "c", "m", "y"] #remove "g"
line_markers = ["o", "s", "x", "D", "v", "^", "<", ">", "p", "*", "+"]
styles = auto_styles()
styles.set_line_styles(line_styles)
styles.set_line_colors(line_colors)
styles.set_line_markers(line_markers)
frame.set_state_data("elements", elements_all)
frame.set_state_data("isotopes", isotopes_all)
frame.set_state_data("over_plotting_data", [])
frame.set_state_data("styles", styles)
frame.set_state_data("old_state", None)
frame.set_state_data("runs", [])
frame.set_state_data("run_count", 0)
def add_run(data, name, Z):
run_count = frame.get_state_data("run_count")
runs_data = frame.get_state_data("runs")
widget_name = "runs_widget_#" + str(run_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
runs_data.append((data, name, Z, widget_name))
frame.set_state_children("runs", [widget_name])
frame.set_state_data("runs", runs_data)
run_count += 1
frame.set_state_data("run_count", run_count)
def remove_runs():
data = frame.get_state_data("runs")
children = ["runs_title"]
tmp_data = []
for i in xrange(len(data)):
widget_name = data[i][3]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data.append(data[i])
data = tmp_data
frame.set_state_children("runs", children, append=False)
frame.set_state_data("runs", data)
def list_custom_imf():
if os.path.isdir(custom_imf_dir):
files_dirs = os.listdir(custom_imf_dir)
imfs = []
for file in files_dirs:
file_full = custom_imf_dir + file
if os.path.isfile(file_full):
file = file.rsplit(".", 1)
if file[1] == "py":
imfs.append(file[0])
return imfs
else:
return []
frame.add_display_object("window")
frame.add_io_object("title")
frame.add_display_object("widget_runs_group")
frame.add_display_object("widget")
frame.add_display_object("runs")
frame.add_io_object("runs_title")
###Sim page###
frame.add_display_object("sim_page")
frame.add_display_object("mass_Z_group")
frame.add_io_object("init_Z")
frame.add_io_object("mass_gas")
frame.add_display_object("time_group")
frame.add_io_object("t_end")
frame.add_io_object("dt")
frame.add_display_object("imf_type_group")
frame.add_io_object("imf_type")
frame.add_io_object("imf_alpha")
frame.add_display_object("imf_mass_group")
frame.add_io_object("imf_mass_min")
frame.add_io_object("imf_mass_max")
frame.add_display_object("sn1a_group")
frame.add_io_object("use_sn1a")
frame.add_io_object("sn1a_rates")
frame.add_display_object("yield_table_group")
frame.add_io_object("yield_table_selection")
frame.add_io_object("yield_table_list")
frame.add_display_object("run_sim_remove_run_group")
frame.add_io_object("run_sim")
frame.add_io_object("remove_run")
frame.add_io_object("run_name")
frame.add_io_object("plot_type")
frame.add_io_object("sim_responce")
frame.set_state_children("window", ["title", "widget_runs_group"])
frame.set_state_children("widget_runs_group", ["widget", "runs"])
frame.set_state_children("widget", ["sim_page"], titles=["Simulation"])
frame.set_state_children("sim_page", [
"mass_Z_group", "time_group", "imf_type_group", "imf_mass_group",
"sn1a_group", "yield_table_group", "run_sim_remove_run_group",
"sim_responce"
])
frame.set_state_children("mass_Z_group", ["mass_gas", "init_Z"])
frame.set_state_children("time_group", ["t_end", "dt"])
frame.set_state_children("imf_type_group", ["imf_type", "imf_alpha"])
frame.set_state_children("imf_mass_group",
["imf_mass_min", "imf_mass_max"])
frame.set_state_children("sn1a_group", ["use_sn1a", "sn1a_rates"])
frame.set_state_children("yield_table_group",
["yield_table_selection", "yield_table_list"])
frame.set_state_children("run_sim_remove_run_group",
["run_sim", "remove_run", "run_name"])
frame.set_state_children("runs", ["runs_title"])
###plotting page###
frame.add_display_object("plot_page")
frame.add_io_object("warning_msg")
frame.add_io_object("plot_name")
frame.add_display_object("source_over_plotting_group")
frame.add_io_object("source")
frame.add_io_object("over_plotting")
frame.add_io_object("clear_plot")
frame.add_display_object("species_group")
frame.add_io_object("iso_or_elem")
frame.add_io_object("species")
frame.add_io_object("elem_numer")
frame.add_io_object("elem_denom")
frame.add_io_object("plot")
frame.set_state_children("widget", ["plot_page"], titles=["Plotting"])
frame.set_state_children("plot_page", [
"warning_msg", "plot_type", "plot_name", "source_over_plotting_group",
"species_group", "elem_numer", "elem_denom", "plot"
])
frame.set_state_children("source_over_plotting_group",
["source", "over_plotting", "clear_plot"])
frame.set_state_children("species_group", ["iso_or_elem", "species"])
###Custom IMF page###
frame.add_display_object("custom_imf_page")
frame.add_display_object("load_save_imf_group")
frame.add_io_object("load_imf")
frame.add_io_object("list_imfs")
frame.add_io_object("name_imf")
frame.add_io_object("save_imf")
frame.add_io_object("delete_imf")
frame.add_io_object("text_imf")
frame.add_io_object("test_imf")
frame.set_state_children("widget", ["custom_imf_page"],
titles=["Custom IMF"])
frame.set_state_children("custom_imf_page",
["load_save_imf_group", "text_imf", "test_imf"])
frame.set_state_children(
"load_save_imf_group",
["load_imf", "list_imfs", "name_imf", "save_imf", "delete_imf"])
###plotting page###
frame.add_display_object("get_table_page")
frame.add_display_object("species_mult_group")
frame.add_io_object("species_mult")
frame.add_io_object("get_table")
frame.add_io_object("table_links")
frame.set_state_children("widget", ["get_table_page"],
titles=["Download Tables"])
frame.set_state_children(
"get_table_page",
["warning_msg", "species_mult_group", "get_table", "table_links"])
frame.set_state_children("species_mult_group",
["iso_or_elem", "species_mult"])
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute('title',
visible=True,
value="<center><h1>SYGMA</h1></center>")
frame.set_state_attribute("widget_runs_group", visible=True, **group_style)
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute("runs",
visible=True,
margin="3.15em 0em 0em 0em")
frame.set_state_attribute("runs", states_cimf, visible=False)
frame.set_state_attribute("runs_title",
visible=True,
value="<center><h2>Runs</h2></center>",
**group_style)
frame.set_state_attribute('sim_page', visible=True, **first_tab_style)
frame.set_state_attribute("mass_Z_group", visible=True, **group_style)
frame.set_state_attribute("mass_gas",
visible=True,
description="Total stellar mass [$M_{\odot}$]:",
value="1.0",
**text_box_style)
frame.set_state_attribute(
'init_Z',
visible=True,
description="Initial metallicity: ",
options=["0.02", "0.01", "0.006", "0.001", "0.0001", "0.0"])
frame.set_state_attribute('time_group', visible=True, **group_style)
frame.set_state_attribute('t_end',
visible=True,
description="Final time [yrs]: ",
value="1.0e10",
**text_box_style)
frame.set_state_attribute('dt',
visible=True,
description="Time step [yrs]: ",
value="1.0e7",
**text_box_style)
frame.set_state_attribute('imf_type_group', visible=True, **group_style)
frame.set_state_attribute(
'imf_type',
visible=True,
description="IMF type: ",
options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] +
list_custom_imf())
frame.set_state_attribute('imf_alpha',
description="Set alpha: ",
min=0,
max=5)
frame.set_state_attribute("imf_mass_group", visible=True, **group_style)
frame.set_state_attribute('imf_mass_min',
visible=True,
description="IMF lower limit [$M_{\odot}$]: ",
value="1.0",
**text_box_style)
frame.set_state_attribute('imf_mass_max',
visible=True,
description="IMF upper limit [$M_{\odot}$]: ",
value="30.0",
**text_box_style)
frame.set_state_attribute('sn1a_group', visible=True, **group_style)
frame.set_state_attribute('use_sn1a',
visible=True,
description="Include SNe Ia: ",
value=True)
frame.set_state_attribute("yield_table_group", visible=True, **group_style)
frame.set_state_attribute("yield_table_selection",
visible=True,
description="CCSN remnant prescription:",
options=["Analytic perscription", "Ye=0.4982"],
value="Ye=0.4982")
frame.set_state_attribute('yield_table_list',
visible=True,
options=yield_list["Ye=0.4982"],
selected_label="Fallback at Ye")
frame.set_state_links("sn1a_link", [("use_sn1a", "value"),
("sn1a_rates", "visible")],
directional=True)
frame.set_state_attribute(
'sn1a_rates',
description="SNe Ia rates: ",
options=['Power law', 'Exponential', 'Gaussian', 'Maoz12'])
frame.set_state_attribute("run_sim_remove_run_group",
visible=True,
**group_style)
frame.set_state_attribute('run_sim',
visible=True,
description="Run simulation",
**button_style)
frame.set_state_attribute("remove_run",
visible=True,
description="Remove selected",
**button_style)
frame.set_state_attribute("run_name",
visible=True,
description="Run name: ",
placeholder="Enter name",
value="",
**text_box_style)
frame.set_state_attribute("sim_responce",
value="<p>Simulation data loaded.</p>",
**group_style)
frame.set_state_attribute("sim_responce", states_sim_plot, visible=True)
frame.set_state_attribute('plot_type',
states_sim_plot,
visible=True,
description="Plot type: ",
options=[
"Total mass", "Species mass",
"Species spectroscopic",
"Mass range contributions"
])
def mass_gas_handler(name, value):
frame.set_attributes("mass_gas", value=float_text(value))
def t_end_handler(name, value):
frame.set_attributes("t_end", value=float_text(value))
def dt_handler(name, value):
frame.set_attributes("dt", value=float_text(value))
def imf_mass_min_handler(name, value):
frame.set_attributes("imf_mass_min", value=float_text(value))
def imf_mass_max_handler(name, value):
frame.set_attributes("imf_mass_max", value=float_text(value))
def sel_imf_type(attribute, value):
if value == "alphaimf":
frame.set_state_attribute("imf_alpha", visible=True)
frame.set_attributes("imf_alpha", visible=True, value=2.35)
else:
frame.set_state_attribute("imf_alpha", visible=False)
frame.set_attributes("imf_alpha", visible=False)
def yield_table_selection_handler(name, value):
frame.set_attributes("yield_table_list", options=yield_list[value])
if value == "Analytic perscription":
frame.set_attributes("yield_table_list", selected_label="Delay")
elif value == "Ye=0.4982":
frame.set_attributes("yield_table_list",
selected_label="Fallback at Ye")
def run_simulation(widget):
frame.set_attributes("sim_responce", visible=False)
clear_output()
pyplot.close("all")
sn1a_map = {
"Power law": "power_law",
"Gaussian": "gauss",
"Exponential": "exp",
"Maoz12": "maoz"
}
mgal = float(frame.get_attribute("mass_gas", "value"))
iniZ = float(frame.get_attribute("init_Z", "value"))
imf_type = frame.get_attribute("imf_type", "value")
alphaimf = frame.get_attribute("imf_alpha", "value")
mass_min = float(frame.get_attribute("imf_mass_min", "value"))
mass_max = float(frame.get_attribute("imf_mass_max", "value"))
imf_bdys = [mass_min, mass_max]
sn1a_on = frame.get_attribute("use_sn1a", "value")
sn1a_rate = sn1a_map[frame.get_attribute("sn1a_rates", "value")]
dt = float(frame.get_attribute("dt", "value"))
tend = float(frame.get_attribute("t_end", "value"))
yield_table = frame.get_attribute("yield_table_list", "value")
if not (imf_type in ['salpeter', 'chabrier', 'kroupa', 'alphaimf']):
destination = os.environ["SYGMADIR"] + "/imf_input.py"
shutil.copy(custom_imf_dir + imf_type + ".py", destination)
imf_type = "input"
run_count = frame.get_state_data("run_count")
name = frame.get_attribute("run_name", "value")
if name == "":
name = "Run - " + "%03d" % (run_count + 1, )
if iniZ == 0.0:
data = s.sygma(mgal=mgal,
iniZ=iniZ,
imf_type=imf_type,
alphaimf=alphaimf,
imf_bdys=[10.1, 100.0],
imf_bdys_pop3=imf_bdys,
sn1a_on=sn1a_on,
sn1a_rate=sn1a_rate,
dt=dt,
tend=tend,
table=yield_table)
else:
data = s.sygma(mgal=mgal,
iniZ=iniZ,
imf_type=imf_type,
alphaimf=alphaimf,
imf_bdys=imf_bdys,
sn1a_on=sn1a_on,
sn1a_rate=sn1a_rate,
dt=dt,
tend=tend,
table=yield_table)
frame.set_state("run_sim")
##force reset plottype
frame.set_attributes("plot_type",
selected_label="Species mass",
value="Species mass")
frame.set_attributes("plot_type",
selected_label="Total mass",
value="Total mass")
add_run(data, name, iniZ)
frame.update()
def remove_simulation(widget):
remove_runs()
frame.update()
def sel_tab(name, value):
open_tab = tablist[value]
if open_tab == "custom_imf_page":
frame.set_state_data("old_state", frame.get_state())
frame.set_state("custom_imf")
if frame.get_attribute("name_imf", "value") == "":
frame.set_attributes("text_imf", value=default_custom_imf_text)
else:
if frame.get_state() in states_cimf:
old_state = frame.get_state_data("old_state")
if old_state != None:
frame.set_state(old_state)
else:
frame.set_state("default")
frame.set_state_data("old_state", None)
frame.set_state_callbacks("mass_gas", mass_gas_handler)
frame.set_state_callbacks("t_end", t_end_handler)
frame.set_state_callbacks("dt", dt_handler)
frame.set_state_callbacks("imf_mass_min", imf_mass_min_handler)
frame.set_state_callbacks("imf_mass_max", imf_mass_max_handler)
frame.set_state_callbacks("imf_type", sel_imf_type)
frame.set_state_callbacks("yield_table_selection",
yield_table_selection_handler)
frame.set_state_callbacks("run_sim",
run_simulation,
attribute=None,
type="on_click")
frame.set_state_callbacks("remove_run",
remove_simulation,
attribute=None,
type="on_click")
frame.set_state_callbacks("widget", sel_tab, "selected_index")
frame.set_object("window", widgets.Box())
frame.set_object("title", widgets.HTML())
frame.set_object("widget_runs_group", widgets.HBox())
frame.set_object("widget", widgets.Tab())
frame.set_object("runs", widgets.VBox())
frame.set_object("runs_title", widgets.HTML())
frame.set_object("sim_page", widgets.VBox())
frame.set_object("mass_Z_group", widgets.HBox())
frame.set_object("mass_gas", widgets.Text())
frame.set_object("init_Z", widgets.Dropdown())
frame.set_object("time_group", widgets.HBox())
frame.set_object("t_end", widgets.Text())
frame.set_object("dt", widgets.Text())
frame.set_object("imf_type_group", widgets.HBox())
frame.set_object("imf_type", widgets.Dropdown())
frame.set_object("imf_alpha", widgets.FloatSlider())
frame.set_object("imf_mass_group", widgets.HBox())
frame.set_object("imf_mass_min", widgets.Text())
frame.set_object("imf_mass_max", widgets.Text())
frame.set_object("sn1a_group", widgets.HBox())
frame.set_object("use_sn1a", widgets.Checkbox())
frame.set_object("sn1a_rates", widgets.Dropdown())
frame.set_object("yield_table_group", widgets.HBox())
frame.set_object("yield_table_selection", widgets.ToggleButtons())
frame.set_object("yield_table_list", widgets.Dropdown())
frame.set_object("run_sim_remove_run_group", widgets.HBox())
frame.set_object("run_sim", widgets.Button())
frame.set_object("remove_run", widgets.Button())
frame.set_object("run_name", widgets.Text())
frame.set_object("sim_responce", widgets.HTML())
frame.set_object("plot_type", widgets.Dropdown())
frame.set_state_attribute("plot_page", visible=True)
frame.set_state_attribute("warning_msg",
visible=True,
value="<h3>Error: No simulation data!</h3>",
**group_style)
frame.set_state_attribute("warning_msg", states_plot, visible=False)
frame.set_state_attribute("plot_name", **group_style)
frame.set_state_attribute("plot_name",
"plot_totmasses",
visible=True,
value="<h2>Plot: Total mass evolution</h2>")
frame.set_state_attribute("plot_name",
"plot_mass",
visible=True,
value="<h2>Plot: Species mass evolution</h2>")
frame.set_state_attribute(
"plot_name",
"plot_spectro",
visible=True,
value="<h2>Plot: Spectroscopic Mass evolution</h2>")
frame.set_state_attribute(
"plot_name",
"plot_mass_range",
visible=True,
value=
"<h2>Plot: Mass range contributions</h2><p>Only ejecta from AGB and massive stars are considered.</p>"
)
frame.set_state_attribute("source_over_plotting_group",
states_plot,
visible=True,
**group_style)
frame.set_state_attribute("source",
["plot_totmasses", "plot_mass", "plot_spectro"],
visible=True,
description="Yield source: ",
options=["All", "AGB", "SNe Ia", "Massive"],
selected_label="All")
frame.set_state_attribute("over_plotting",
visible=True,
description="Over plotting",
value=False,
**button_style)
frame.set_state_attribute("clear_plot",
description="Clear plot",
**button_style)
frame.set_state_links("clear_plot_link", [("over_plotting", "value"),
("clear_plot", "visible")],
directional=True)
frame.set_state_attribute("species_group",
["plot_mass", "plot_mass_range"],
visible=True,
**group_style)
frame.set_state_attribute("iso_or_elem",
visible=True,
description="species type: ",
options=["Elements", "Isotopes"],
selected_label="Elements")
frame.set_state_attribute("species",
visible=True,
description="Element: ",
options=elements_all,
**text_box_style)
frame.set_state_attribute("elem_numer",
"plot_spectro",
visible=True,
description="Y-axis [X/Y], choose X: ",
options=elements_all,
**text_box_style)
frame.set_state_attribute("elem_denom",
"plot_spectro",
visible=True,
description="Y-axis [X/Y], choose Y: ",
options=elements_all,
**text_box_style)
frame.set_state_attribute("plot",
states_plot,
visible=True,
description="Generate Plot",
**button_style)
def clear_plot_handler(widget):
clear_output()
pyplot.close("all")
frame.set_state_data("over_plotting_data", [])
def sel_plot_type(attribute, value):
if value == "Total mass":
frame.set_state("plot_totmasses")
elif value == "Species mass":
frame.set_state("plot_mass")
elif value == "Species spectroscopic":
frame.set_state("plot_spectro")
elif value == "Mass range contributions":
frame.set_state("plot_mass_range")
# iniZ = float(frame.get_attribute("init_Z", "value"))
# if iniZ==0.0:
# frame.set_attributes("source", options=["All", "AGB", "Massive"])
# else:
frame.set_attributes("source",
options=["All", "AGB", "SNe Ia", "Massive"])
frame.set_state_data("over_plotting_data", [])
def sel_source(attribute, value):
if value == "SNe Ia":
frame.set_state_data("elements", elements_sn1a)
frame.set_state_data("isotopes", isotopes_sn1a)
else:
frame.set_state_data("elements", elements_all)
frame.set_state_data("isotopes", isotopes_all)
frame.set_attributes("elem_numer", options=[])
frame.set_attributes("elem_denom", options=[])
frame.set_attributes("species", options=[])
elements = frame.get_state_data("elements")
isotopes = frame.get_state_data("isotopes")
frame.set_attributes("elem_numer", options=elements)
frame.set_attributes("elem_denom", options=elements)
if frame.get_attribute("iso_or_elem", "value") == "Isotopes":
frame.set_attributes("species",
description="Isotope: ",
options=isotopes)
elif frame.get_attribute("iso_or_elem", "value") == "Elements":
frame.set_attributes("species",
description="Element: ",
options=elements)
def sel_iso_or_elem(attribute, value):
elements = frame.get_state_data("elements")
isotopes = frame.get_state_data("isotopes")
if value == "Isotopes":
frame.set_attributes("species",
description="Isotope: ",
options=isotopes)
frame.set_attributes("species_mult",
description="Isotope: ",
options=isotopes_sel_mult)
elif value == "Elements":
frame.set_attributes("species",
description="Element: ",
options=elements)
frame.set_attributes("species_mult",
description="Element: ",
options=elements_sel_mult)
def run(widget):
styles = frame.get_state_data("styles")
styles.reset_line_count()
clear_output()
pyplot.close("all")
over_plotting = frame.get_attribute("over_plotting", "value")
source_map = {
"All": "all",
"AGB": "agb",
"SNe Ia": "sn1a",
"Massive": "massive"
}
label_map = {
"All": "",
"AGB": ", AGB",
"SNe Ia": ", SNIa",
"Massive": ", Massive"
}
tot_mass_labels = {
"all": "All",
"agb": "AGB",
"sn1a": "SNIa",
"massive": "Massive"
}
state = frame.get_state()
runs = frame.get_state_data("runs")
source = source_map[frame.get_attribute("source", "value")]
label_source = label_map[frame.get_attribute("source", "value")]
species = frame.get_attribute("species", "value")
no_runs = True
if state == "plot_totmasses":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + tot_mass_labels[kwargs["source"]]
kwargs.update({"label": label})
kwargs.update(styles.get_style())
data.plot_totmasses(**kwargs)
elif state == "plot_mass":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("specie", species), ("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs["specie"]
if not kwargs["source"] == "all":
label = label + ", " + tot_mass_labels[
kwargs["source"]]
kwargs.update({"label": label})
kwargs.update(styles.get_style())
data.plot_mass(**kwargs)
elif state == "plot_spectro":
X = frame.get_attribute("elem_numer", "value")
Y = frame.get_attribute("elem_denom", "value")
yaxis = "[" + X + "/" + Y + "]"
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("yaxis", yaxis), ("source", source)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs[
"yaxis"] + ", " + tot_mass_labels[kwargs["source"]]
kwargs.update({"label": label})
kwargs.update(styles.get_style())
data.plot_spectro(**kwargs)
elif state == "plot_mass_range":
plot_data = frame.get_state_data("over_plotting_data")
if not over_plotting:
plot_data = []
over_plot = [("specie", species)]
if not over_plot in plot_data:
plot_data.append(over_plot)
frame.set_state_data("over_plotting_data", plot_data)
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
no_runs = False
for item in plot_data:
kwargs = dict(item)
label = name + ": " + kwargs["specie"]
kwargs.update({"label": label})
kwargs.update(styles.get_style())
data.plot_mass_range_contributions(**kwargs)
if no_runs:
print "No runs selected."
frame.set_state_callbacks("clear_plot",
clear_plot_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("plot_type", sel_plot_type)
frame.set_state_callbacks("source",
sel_source,
state=["plot_spectro", "plot_mass"])
frame.set_state_callbacks("iso_or_elem", sel_iso_or_elem)
frame.set_state_callbacks("plot", run, attribute=None, type="on_click")
frame.set_object("plot_page", widgets.VBox())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_name", widgets.HTML())
frame.set_object("source_over_plotting_group", widgets.HBox())
frame.set_object("source", widgets.Dropdown())
frame.set_object("over_plotting", widgets.ToggleButton())
frame.set_object("clear_plot", widgets.Button())
frame.set_object("species_group", widgets.VBox())
frame.set_object("iso_or_elem", widgets.RadioButtons())
frame.set_object("species", widgets.Select())
frame.set_object("elem_numer", widgets.Select())
frame.set_object("elem_denom", widgets.Select())
frame.set_object("plot", widgets.Button())
frame.set_state_attribute("custom_imf_page", visible=True)
frame.set_state_attribute("load_save_imf_group",
visible=True,
**group_style)
frame.set_state_attribute("load_imf",
"custom_imf",
visible=True,
description="Load custom IMF",
**button_style)
frame.set_state_attribute("list_imfs",
"load_custom_imf",
visible=True,
description="Select IMF")
frame.set_state_attribute("name_imf",
"custom_imf",
visible=True,
description="IMF name",
**text_box_style)
frame.set_state_attribute("save_imf",
"custom_imf",
visible=True,
description="Save IMF",
**button_style)
frame.set_state_attribute("delete_imf",
"custom_imf",
visible=True,
description="Delete IMF",
**button_style)
frame.set_state_attribute("text_imf", visible=True)
frame.set_state_attribute("test_imf",
visible=True,
description="Test selected IMF file",
**button_style)
def load_imf_handler(widget):
frame.set_state("load_custom_imf")
options = ["", "Preset: default"] + list_custom_imf()
frame.set_attributes("list_imfs",
options=options,
value="",
selected_label="")
def sel_custom_imf(name, value):
if value != "":
frame.set_state("custom_imf")
if value == "Preset: default":
frame.set_attributes("name_imf", value="")
frame.set_attributes("text_imf", value=default_custom_imf_text)
else:
text = ""
with open(custom_imf_dir + value + ".py", "r") as fin:
text = fin.read()
frame.set_attributes("name_imf", value=value)
frame.set_attributes("text_imf", value=text)
def save_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("Error: not IMF name given")
else:
if not os.path.isdir(custom_imf_dir):
os.mkdir(custom_imf_dir)
with open(custom_imf_dir + imf_name + ".py", "w") as fout:
fout.write(frame.get_attribute("text_imf", "value"))
print("Custom IMF saved to " + imf_name)
frame.set_state_attribute(
'imf_type',
options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] +
list_custom_imf())
def delete_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("Error: not IMF name given")
else:
if os.path.isdir(custom_imf_dir):
if os.path.isfile(custom_imf_dir + imf_name + ".py"):
os.remove(custom_imf_dir + imf_name + ".py")
frame.set_attributes("name_imf", value="")
frame.set_attributes("text_imf",
value=default_custom_imf_text)
print("Custom IMF " + imf_name + " deleted.")
else:
print("Custom IMF, " + imf_name + ", not found!")
frame.set_state_attribute(
'imf_type',
options=['salpeter', 'chabrier', 'kroupa', 'alphaimf'] +
list_custom_imf())
def test_imf_handler(widget):
clear_output()
pyplot.close("all")
imf_name = frame.get_attribute("name_imf", "value")
if imf_name == "":
print("No IMF name given!")
return
try:
ci = load_source("custom_imf", custom_imf_dir + imf_name + ".py")
except IOError:
print("Failed to load " + imf_name + ", no IMF file found.")
return
mass_min = 0.0
mass_max = 30.0
xaxis = numpy.linspace(mass_min, mass_max, 1000)[1:]
yaxis = [0 for x in xaxis]
for i, x in enumerate(xaxis):
yaxis[i] = ci.custom_imf(x)
pyplot.plot(xaxis, numpy.log10(yaxis))
pyplot.title("IMF file test: " + imf_name)
pyplot.xlabel("mass [$M_{\odot}$]")
pyplot.ylabel("IMF")
pyplot.show()
frame.set_state_callbacks("load_imf",
load_imf_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("list_imfs", sel_custom_imf)
frame.set_state_callbacks("save_imf",
save_imf_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("delete_imf",
delete_imf_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("test_imf",
test_imf_handler,
attribute=None,
type="on_click")
frame.set_object("custom_imf_page", widgets.VBox())
frame.set_object("load_save_imf_group", widgets.HBox())
frame.set_object("load_imf", widgets.Button())
frame.set_object("list_imfs", widgets.Dropdown())
frame.set_object("name_imf", widgets.Text())
frame.set_object("save_imf", widgets.Button())
frame.set_object("delete_imf", widgets.Button())
frame.set_object("text_imf", widgets.Textarea())
frame.set_object("test_imf", widgets.Button())
frame.set_state_attribute("get_table_page", visible=True)
frame.set_state_attribute("warning_msg",
visible=True,
value="<h3>Error: No simulation data!</h3>",
**group_style)
frame.set_state_attribute("warning_msg", states_plot, visible=False)
frame.set_state_attribute("species_mult_group",
states_sim_plot,
visible=True,
**group_style)
frame.set_state_attribute("iso_or_elem",
visible=True,
description="species type: ",
options=["Elements", "Isotopes"],
selected_label="Elements")
frame.set_state_attribute("species_mult",
visible=True,
description="Element: ",
options=elements_sel_mult,
**text_box_style)
frame.set_state_attribute("get_table",
states_sim_plot,
visible=True,
description="Get table links",
**button_style)
frame.set_state_attribute("table_links",
states_sim_plot,
visible=True,
value="",
**group_style)
def species_mult_handler(name, value):
if "All" in value:
iso_or_elem = frame.get_attribute("iso_or_elem", "value")
if iso_or_elem == "Elements":
value = tuple(elements_all)
elif iso_or_elem == "Isotopes":
value = tuple(isotopes_all)
frame.set_attributes("species_mult",
value=value,
selected_labels=value)
frame.set_attributes("table_links", value="")
def get_table_handler(widget):
iso_or_elem = frame.get_attribute("iso_or_elem", "value")
species = list(frame.get_attribute("species_mult", "value"))
runs = frame.get_state_data("runs")
title = "<h3>Data table links:</h3>"
html = title
if not os.path.isdir("./evol_tables"):
os.mkdir("./evol_tables")
for data, name, Z, widget_name in runs:
if frame.get_attribute(widget_name, "value"):
file = "evol_tables/" + widget_name.replace("#", "") + "file"
if iso_or_elem == "Elements":
data.write_evol_table(species, [], file, "./")
elif iso_or_elem == "Isotopes":
data.write_evol_table([], species, file, "./")
html = html + "<p><a href=\"" + file + "\" target=\"_blank\" download>" + name + "</a></p>\n"
if html == title:
html = ""
print("No runs selected.")
frame.set_attributes("table_links", value=html)
clear_output()
pyplot.close("all")
frame.set_state_callbacks("species_mult", species_mult_handler)
frame.set_state_callbacks("get_table",
get_table_handler,
attribute=None,
type="on_click")
frame.set_object("species_mult_group", widgets.VBox())
frame.set_object("species_mult", widgets.SelectMultiple())
frame.set_object("get_table_page", widgets.VBox())
frame.set_object("get_table", widgets.Button())
frame.set_object("table_links", widgets.HTML())
##start widget##
frame.display_object("window")
def start_explorer(global_namespace, manual_data_select=False, dir="./"):
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",
background_color="white",
border_color="LightGrey",
border_radius="0.5em")
frame.set_default_io_style(padding="0.25em",
margin="0.25em",
border_color="LightGrey",
border_radius="0.5em")
group_style = {
"border_style": "none",
"border_radius": "0em",
"width": "100%"
}
text_box_style = {"width": "10em"}
button_style = {"font_size": "1.25em", "font_weight": "bold"}
first_tab_style = {"border_radius": "0em 0.5em 0.5em 0.5em"}
states_movie = ["movie", "movie_iso_abund", "movie_abu_chart"]
states_nugrid = [
"nugrid", "nugrid_w_data", "nugrid_get_data", "iso_abund", "abu_chart",
"nugrid_plot"
] + states_movie
states_mesa = [
"mesa", "mesa_w_data", "get_data", "hrd", "plot", "kip_cont",
"kippenhahn", "tcrhoc"
]
states_plotting = states_nugrid[3:] + states_mesa[3:]
frame.add_state(states_nugrid)
frame.add_state(states_mesa)
if manual_data_select:
frame.set_state_data("model_data", (None, None))
else:
frame.set_state_data("model_data", (None, None, None))
frame.set_state_data("variable_name_timer", None)
frame.set_state_data("dir", os.path.abspath(dir))
def update_dir_bar_list():
dir = frame.get_state_data("dir")
dirs = [".", ".."] + os.listdir(dir)
frame.set_state_attribute("address_bar", value=dir)
frame.set_state_attribute("directory_list", options=dirs)
frame.add_display_object("window")
frame.add_io_object("Title")
frame.add_display_object("widget")
###Data page###
frame.add_display_object("page_data")
frame.add_io_object("mass")
frame.add_io_object("Z")
frame.add_io_object("select_nugrid_mesa")
frame.add_io_object("address_bar")
frame.add_io_object("directory_list")
frame.add_display_object("contain_module_load")
frame.add_io_object("select_module")
frame.add_display_object("contain_model_select")
frame.add_io_object("model_select")
frame.add_io_object("load_data")
frame.set_state_children("window", ["Title", "widget"])
frame.set_state_children("widget", ["page_data"], titles=["Data"])
frame.set_state_children("page_data", [
"mass", "Z", "address_bar", "directory_list", "select_nugrid_mesa",
"contain_module_load"
])
frame.set_state_children(
"contain_module_load",
["select_module", "contain_model_select", "load_data"])
frame.set_state_children("contain_model_select", ["model_select"])
###Plotting page###
frame.add_display_object("page_plotting")
frame.add_io_object("select_plot")
frame.add_io_object("warning_msg")
frame.add_io_object("plot_name")
frame.add_display_object("cycle_sparsity_group")
frame.add_io_object("cycle")
frame.add_io_object("cycle_range")
frame.add_io_object("sparsity")
frame.add_io_object("movie_type")
frame.add_display_object("xax")
frame.add_io_object("xaxis")
frame.add_io_object("logx")
frame.add_display_object("yax")
frame.add_io_object("yaxis")
frame.add_io_object("logy")
frame.add_display_object("mass_settings")
frame.add_io_object("set_amass")
frame.add_io_object("amass_range")
frame.add_io_object("set_mass")
frame.add_io_object("mass_range")
frame.add_io_object("lbound")
frame.add_display_object("kipp_settings")
frame.add_io_object("plot_star_mass")
frame.add_io_object("plot_c12border")
frame.add_io_object("plot_engminus")
frame.add_io_object("plot_engplus")
frame.add_io_object("ixaxis")
frame.add_display_object("lim_settings")
frame.add_io_object("set_lims")
frame.add_io_object("ylim")
frame.add_io_object("xlim")
frame.add_io_object("yres")
frame.add_io_object("xres")
frame.add_io_object("stable")
frame.add_display_object("abu_settings")
frame.add_io_object("ilabel")
frame.add_io_object("imlabel")
frame.add_io_object("imagic")
frame.add_io_object("variable_name")
frame.add_io_object("generate_plot")
frame.set_state_children("widget", ["page_plotting"], titles=["Plotting"])
frame.set_state_children("page_plotting", [
"select_plot", "warning_msg", "plot_name", "movie_type",
"variable_name", "cycle_sparsity_group", "xax", "yax", "stable",
"mass_settings", "kipp_settings", "lim_settings", "abu_settings",
"stable", "generate_plot"
])
frame.set_state_children("cycle_sparsity_group",
["cycle", "cycle_range", "sparsity"])
frame.set_state_children("xax", ["xaxis", "logx"])
frame.set_state_children("yax", ["yaxis", "logy"])
frame.set_state_children(
"mass_settings",
["set_amass", "amass_range", "set_mass", "mass_range", "lbound"])
frame.set_state_children(
"lim_settings", ["ixaxis", "set_lims", "xlim", "ylim", "xres", "yres"])
frame.set_state_children("abu_settings", ["ilabel", "imlabel", "imagic"])
frame.set_state_children(
"kipp_settings",
["plot_star_mass", "plot_c12border", "plot_engminus", "plot_engplus"])
###DEFAULT###
frame.set_state_data("class_instance", None)
frame.set_state_attribute('window', visible=True, **group_style)
frame.set_state_attribute(
'Title',
visible=True,
value=
"<center><h1>NuGrid Set explorer</h1></center><p><center>This explorer allows you to investigate NuGrid stellar evolution and yields data sets.</center></p>"
)
frame.set_state_attribute('widget', visible=True, **group_style)
frame.set_state_attribute("page_data", visible=True, **first_tab_style)
frame.set_state_attribute('mass',
visible=not manual_data_select,
description="Mass: ",
options=[
"1.0", "1.65", "2.0", "3.0", "4.0", "5.0",
"6.0", "7.0", "12.0", "15.0", "20.0", "25.0",
"32.0", "60.0"
],
selected_label="2.0")
frame.set_state_attribute('Z',
visible=not manual_data_select,
description="Z: ",
options=["1E-4", "1E-3", "6E-3", "1E-2", "2E-2"])
frame.set_state_attribute("address_bar", visible=manual_data_select)
frame.set_state_attribute("directory_list", visible=manual_data_select)
frame.set_state_attribute("select_nugrid_mesa",
visible=True,
description="Select NuGrid or Mesa: ",
options=["", "NuGrid", "Mesa"])
frame.set_state_attribute("contain_module_load",
visible=True,
**group_style)
frame.set_state_attribute("select_module",
visible=True,
description="Select data type: ",
disabled=True)
frame.set_state_attribute("contain_model_select",
border_style="none",
padding="0px",
margin="0px",
width="18em")
frame.set_state_attribute("model_select",
visible=True,
description="Select model: ",
placeholder="1",
**text_box_style)
frame.set_state_attribute("load_data",
visible=True,
description="Load Data",
disabled=True,
**button_style)
###NUGRID###
frame.set_state_attribute("select_module",
states_nugrid,
options=["", "H5 out"],
disabled=False)
frame.set_state_attribute("load_data", states_nugrid, disabled=False)
###MESA###
frame.set_state_attribute("select_module",
states_mesa,
options=["", "History", "Profile"],
disabled=False)
frame.set_state_attribute("load_data", states_mesa, disabled=False)
###CALLBACKS###
def model_select_handler(name, value):
frame.set_attributes("model_select", value=int_text(value))
def mass_Z_handler(name, value):
if frame.get_attribute("contain_model_select", "visible"):
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if manual_data_select:
mdir, mmodel = frame.get_state_data("model_data")
if (mdir != dir) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(dir)
frame.set_state_data("model_data", (dir, pre_data.model))
else:
mmass, mZ, mmodel = frame.get_state_data("model_data")
if (mmass != mass) or (mZ != Z) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(mass=mass, Z=Z)
frame.set_state_data("model_data",
(mass, Z, pre_data.model))
def address_bar_handler(widget):
dir = frame.get_attribute("address_bar", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def directory_list_handler(name, value):
dir = frame.get_state_data("dir")
dir = dir + "/" + frame.get_attribute("directory_list", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def sel_nugrid_mesa(name, value):
if value == "NuGrid":
frame.set_state("nugrid")
elif value == "Mesa":
frame.set_state("mesa")
elif value == "":
frame.set_state("default")
def load(widget):
clear_output()
data = None
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if frame.get_attribute("model_select", "value") != "":
model = int(frame.get_attribute("model_select", "value"))
else:
model = 1
module = frame.get_attribute("select_module", "value")
if module == "H5 out":
if manual_data_select:
data = mp.se(dir)
else:
data = mp.se(mass=mass, Z=Z)
frame.set_state("nugrid_w_data")
properties = ["mass", "radius", "rho", "temperature"]
frame.set_attributes("xaxis",
options=properties + data.se.isotopes)
frame.set_attributes("yaxis",
options=properties + data.se.isotopes)
elif module == "History":
if manual_data_select:
data = ms.history_data(dir)
else:
data = ms.history_data(mass=mass, Z=Z)
frame.set_state("mesa_w_data")
frame.set_attributes("xaxis", options=sorted(data.cols.keys()))
frame.set_attributes("yaxis", options=sorted(data.cols.keys()))
elif module == "Profile":
if manual_data_select:
data = ms.mesa_profile(dir, num=model)
else:
data = ms.mesa_profile(mass=mass, Z=Z, num=model)
frame.set_state("mesa_w_data")
frame.set_attributes("xaxis", options=sorted(data.cols.keys()))
frame.set_attributes("yaxis", options=sorted(data.cols.keys()))
else:
nugrid_or_mesa = frame.get_attribute("select_nugrid_mesa", 'value')
if nugrid_or_mesa == "NuGrid":
frame.set_state("nugrid")
elif nugrid_or_mesa == "Mesa":
frame.set_state("mesa")
frame.set_state_data("class_instance", data)
frame.set_attributes("select_plot", selected_label="")
def change_module(widget, value):
if value == "History":
frame.set_state_attribute("select_plot",
states_mesa[1:],
options={
"": "mesa_w_data",
"HR-Diagram": "hrd",
"Plot": "plot",
"Kippenhahn": "kippenhahn",
"Kippenhahan contour": "kip_cont",
"TCRhoC plot": "tcrhoc",
"Get data": "get_data"
})
frame.set_state_attribute("contain_model_select",
states_mesa,
visible=False)
frame.set_attributes("contain_model_select", visible=False)
elif value == "Profile":
frame.set_attributes("load_data", disabled=True)
frame.set_state_attribute("select_plot",
states_mesa[1:],
options={
"": "mesa_w_data",
"Plot": "plot",
"Get data": "get_data"
})
mass = float(frame.get_attribute("mass", "value"))
Z = float(frame.get_attribute("Z", "value"))
dir = frame.get_attribute("address_bar", "value")
if manual_data_select:
mdir, mmodel = frame.get_state_data("model_data")
if (mdir != dir) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(dir)
mmodel = pre_data.model
frame.set_state_data("model_data", (dir, mmodel))
else:
mmass, mZ, mmodel = frame.get_state_data("model_data")
if (mmass != mass) or (mZ != Z) or (mmodel == None):
clear_output()
pre_data = ms.mesa_profile(mass=mass, Z=Z)
mmodel = pre_data.model
frame.set_state_data("model_data", (mass, Z, mmodel))
frame.set_state_attribute("contain_model_select",
states_mesa,
visible=True)
frame.set_attributes("contain_model_select", visible=True)
frame.set_attributes("model_select", value=str(mmodel[-1]))
frame.set_attributes("load_data", disabled=False)
else:
frame.set_state_attribute("contain_model_select",
states_mesa,
visible=False)
frame.set_attributes("contain_model_select", visible=False)
frame.set_state_callbacks("model_select", model_select_handler)
frame.set_state_callbacks("mass", mass_Z_handler)
frame.set_state_callbacks("Z", mass_Z_handler)
frame.set_state_callbacks("address_bar",
address_bar_handler,
attribute=None,
type="on_submit")
frame.set_state_callbacks("directory_list", directory_list_handler)
frame.set_state_callbacks("select_nugrid_mesa", sel_nugrid_mesa)
frame.set_state_callbacks("select_module", change_module)
frame.set_state_callbacks("load_data",
load,
attribute=None,
type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("Title", widgets.HTML())
frame.set_object("widget", widgets.Tab())
frame.set_object("page_data", widgets.VBox())
frame.set_object("mass", widgets.Dropdown())
frame.set_object("Z", widgets.ToggleButtons())
frame.set_object("address_bar", widgets.Text())
frame.set_object("directory_list", widgets.Select())
frame.set_object("select_nugrid_mesa", widgets.Dropdown())
frame.set_object("contain_module_load", widgets.HBox())
frame.set_object("select_module", widgets.Dropdown())
frame.set_object("contain_model_select", widgets.HBox())
frame.set_object("model_select", widgets.Text())
frame.set_object("load_data", widgets.Button())
###Plotting page###
frame.set_state_attribute('page_plotting', visible=True)
frame.set_state_attribute("select_plot",
visible=True,
description="Select plot type: ",
disabled=True)
frame.set_state_attribute("select_plot",
states_nugrid[1:],
options={
"": "nugrid_w_data",
"Isotope abundance": "iso_abund",
"Abundance chart": "abu_chart",
"Movie": "movie",
"Plot": "nugrid_plot",
"Get data": "nugrid_get_data"
},
disabled=False)
frame.set_state_attribute("select_plot",
states_mesa[1:],
options={
"": "mesa_w_data",
"HR-Diagram": "hrd",
"Plot": "plot",
"Kippenhahn": "kippenhahn",
"Kippenhahan contour": "kip_cont",
"TCRhoC": "tcrhoc",
"Get data": "nugrid_get_data"
},
disabled=False)
frame.set_state_attribute('warning_msg',
visible=True,
value="<h3>Error: No data loaded!</h3>",
**group_style)
frame.set_state_attribute("warning_msg", ["nugrid_w_data", "mesa_w_data"],
value="<h2>Select plot.</h2>")
frame.set_state_attribute("warning_msg",
states_plotting +
["get_data", "nugrid_get_data"],
visible=False)
frame.set_state_attribute("plot_name", **group_style)
frame.set_state_attribute('plot_name',
"iso_abund",
visible=True,
value="<h2>Isotope abundance</h2>")
frame.set_state_attribute('plot_name',
"abu_chart",
visible=True,
value="<h2>Abundance chart</h2>")
frame.set_state_attribute('plot_name',
states_movie,
visible=True,
value="<h2>Movie</h2>")
frame.set_state_attribute('plot_name',
"hrd",
visible=True,
value="<h2>HR-Diagram</h2>")
frame.set_state_attribute('plot_name', ["plot", "nugrid_plot"],
visible=True,
value="<h2>Plot</h2>")
frame.set_state_attribute('plot_name',
"kippenhahn",
visible=True,
value="<h2>Kippenhahn</h2>")
frame.set_state_attribute('plot_name',
"kip_cont",
visible=True,
value="<h2>Kippenhahn contour</h2>")
frame.set_state_attribute(
'plot_name',
"tcrhoc",
visible=True,
value="<h2>Central temperature vs central density</h2>")
frame.set_state_attribute('plot_name', ["get_data", "nugrid_get_data"],
visible=True,
value="<h2>Get data</h2>")
frame.set_state_attribute("variable_name", ["get_data", "nugrid_get_data"],
visible=True,
description="Variable name: ",
placeholder="Enter name.",
**text_box_style)
frame.set_state_attribute('movie_type',
states_movie,
visible=True,
description="Movie Type: ",
options={
"": "movie",
"Isotope abundance": "movie_iso_abund",
"Abundance chart": "movie_abu_chart"
})
frame.set_state_attribute('cycle_sparsity_group',
states_nugrid[1:] + states_mesa[1:] +
states_movie,
visible=True,
**group_style)
frame.set_state_attribute(
'cycle', ["iso_abund", "abu_chart", "nugrid_plot", "nugrid_get_data"],
visible=True,
description="cycle: ")
frame.set_state_attribute('cycle_range', states_movie[1:], visible=True)
frame.set_state_attribute('sparsity',
states_movie[1:],
visible=True,
description="Sparsity: ",
value="1",
**text_box_style)
frame.set_state_attribute(
'xax', ["plot", "nugrid_plot", "get_data", "nugrid_get_data"],
visible=True,
**group_style)
frame.set_state_attribute('xaxis',
visible=True,
description="select X-axis: ")
frame.set_state_attribute('xaxis', ["get_data", "nugrid_get_data"],
description="select data: ")
frame.set_state_attribute('logx', visible=True, description="log X-axis: ")
frame.set_state_attribute('logx', ["get_data", "nugrid_get_data"],
visible=False)
frame.set_state_attribute('yax', ["plot", "nugrid_plot"],
visible=True,
**group_style)
frame.set_state_attribute('yaxis',
visible=True,
description="select Y-axis: ")
frame.set_state_attribute('logy', visible=True, description="log Y-axis: ")
frame.set_state_attribute("mass_settings",
["iso_abund", "abu_chart"] + states_movie[1:],
visible=True,
**group_style)
frame.set_state_attribute("set_amass", ["iso_abund", "movie_iso_abund"],
visible=True,
description="Set atomic mass: ")
frame.set_state_attribute("amass_range", ["iso_abund", "movie_iso_abund"],
description="Atomi mass range: ",
min=0,
max=211,
value=(0, 211))
frame.set_state_attribute("set_mass",
["iso_abund", "abu_chart"] + states_movie[1:],
visible=True,
description="Set mass: ")
frame.set_state_attribute("mass_range",
["iso_abund", "abu_chart"] + states_movie[1:],
description="Mass range: ")
frame.set_state_attribute("lbound",
"abu_chart",
visible=True,
description="lbound",
min=-12,
max=0,
step=0.05,
value=(-12, 0))
frame.set_state_links("amass_link", [("set_amass", "value"),
("amass_range", "visible")],
["iso_abund", "movie_iso_abund"], True)
frame.set_state_links("mass_link", [("set_mass", "value"),
("mass_range", "visible")],
["iso_abund", "abu_chart"] + states_movie[1:], True)
frame.set_state_attribute(
"lim_settings",
["iso_abund", "abu_chart", "kip_cont", "tcrhoc"] + states_movie[1:],
visible=True,
**group_style)
frame.set_state_attribute(
"set_lims",
["iso_abund", "abu_chart", "kip_cont", "tcrhoc"] + states_movie[1:],
visible=True,
description="Set axis limits: ")
frame.set_state_attribute("xlim",
["abu_chart", "movie_abu_chart", "kip_cont"],
description="x-axis limits: ",
min=0,
max=130,
value=(0, 130),
step=0.5)
frame.set_state_attribute("xlim",
"tcrhoc",
description="x-axis limits: ",
min=3.0,
max=10.0,
value=(3.0, 10.0),
step=0.5)
frame.set_state_attribute(
"ylim",
["iso_abund", "abu_chart", "kip_cont", "tcrhoc"] + states_movie[1:],
description="y-axis limits: ")
frame.set_state_attribute("ylim", ["iso_abund", "movie_iso_abund"],
min=-13,
max=0,
step=0.05,
value=(-13, 0))
frame.set_state_attribute("ylim", ["abu_chart", "movie_abu_chart"],
min=0,
max=130,
value=(0, 130),
step=0.5)
frame.set_state_attribute("ylim",
"kip_cont",
min=0,
max=1,
value=(0, 1),
step=0.005) #mass
frame.set_state_attribute("ylim",
"tcrhoc",
min=8.0,
max=10.0,
value=(8.0, 10.0),
step=0.5)
frame.set_state_attribute("ixaxis",
"kip_cont",
visible=True,
description="X axis format: ",
options={
"Log time": "log_time_left",
"Age": "age",
"Model number": "model_number"
},
value="model_number")
frame.set_state_links(
"xlims_link", [("set_lims", "value"), ("xlim", "visible")],
["abu_chart", "movie_abu_chart", "kip_cont", "tcrhoc"], True)
frame.set_state_links("ylims_link", [("set_lims", "value"),
("ylim", "visible")],
["iso_abund", "abu_chart", "kip_cont", "tcrhoc"] +
states_movie[1:], True)
frame.set_state_attribute("xres",
"kip_cont",
visible=True,
description="x resolution: ",
placeholder="1000",
**text_box_style)
frame.set_state_attribute("yres",
"kip_cont",
visible=True,
description="y resolution: ",
placeholder="1000",
**text_box_style)
frame.set_state_links("xres_link", [("set_lims", "value"),
("xres", "visible")], "kip_cont", True)
frame.set_state_links("yres_link", [("set_lims", "value"),
("yres", "visible")], "kip_cont", True)
frame.set_state_attribute("abu_settings", ["abu_chart", "movie_abu_chart"],
visible=True,
**group_style)
frame.set_state_attribute("ilabel", ["abu_chart", "movie_abu_chart"],
visible=True,
description="Element label")
frame.set_state_attribute("imlabel", ["abu_chart", "movie_abu_chart"],
visible=True,
description="Isotope label")
frame.set_state_attribute("imagic", ["abu_chart", "movie_abu_chart"],
visible=True,
description="Magic numbers")
frame.set_state_attribute("kipp_settings", ["kippenhahn", "kip_cont"],
visible=True,
**group_style)
frame.set_state_attribute("plot_star_mass",
"kippenhahn",
visible=True,
description="Plot star mass: ")
frame.set_state_attribute("plot_c12border", ["kippenhahn", "kip_cont"],
visible=True,
description="Show C-12 Border: ")
frame.set_state_attribute(
"plot_engminus",
"kip_cont",
visible=True,
description="Energy generation contours (eps_nuc>0): ")
frame.set_state_attribute(
"plot_engplus",
"kip_cont",
visible=True,
description="Energy generation contours (eos_nuc<0): ")
frame.set_state_attribute("stable",
"iso_abund",
visible=True,
description="stable: ")
frame.set_state_attribute('generate_plot',
states_plotting,
visible=True,
description="Generate Plot",
**button_style)
frame.set_state_attribute('generate_plot', ["get_data", "nugrid_get_data"],
visible=True,
description="Get Data",
**button_style)
def variable_name_full_validation(value):
frame.set_attributes("variable_name",
value=token_text(value, strict=True))
frame.set_state_data("variable_name_timer", None)
def variable_name_handler(name, value):
value = token_text(value)
frame.set_attributes("variable_name", value=value)
timer = frame.get_state_data("variable_name_timer")
if (value != token_text(value, strict=True)):
if timer != None:
timer.cancel()
timer = threading.Timer(1.0,
variable_name_full_validation,
kwargs={"value": value})
timer.start()
else:
if timer != None:
timer.cancel()
timer = None
frame.set_state_data("variable_name_timer", timer)
def yres_handler(name, value):
frame.set_attributes("yres", value=int_text(value))
def xres_handler(name, value):
frame.set_attributes("xres", value=int_text(value))
def sel_plot(widget, value):
data = frame.get_state_data("class_instance")
if value in ["iso_abund", "abu_chart"]:
cycle_list = data.se.cycles
step = int(cycle_list[1]) - int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
mass_list = data.se.get(min, "mass")
mass_min, mass_max = mass_list[0], mass_list[-1]
mass_step = (mass_max - mass_min) / 200.0
frame.set_state_attribute("mass_range", ["iso_abund", "abu_chart"],
min=mass_min,
max=mass_max,
value=(mass_min, mass_max),
step=mass_step)
frame.set_state_attribute('cycle', ["iso_abund", "abu_chart"],
min=min,
max=max,
step=step)
if value == "kip_cont":
min = 0
max = len(data.data)
mass = data.header_attr["initial_mass"]
frame.set_state_attribute("xlim",
"kip_cont",
min=min,
max=max,
step=1,
value=(min, max))
frame.set_state_attribute("ylim",
"kip_cont",
min=0.0,
max=mass,
step=mass / 200.0,
value=(0.0, mass))
if value in ["nugrid_plot", "nugrid_get_data"]:
cycle_list = data.se.cycles
step = int(cycle_list[1]) - int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
frame.set_state_attribute('cycle',
["nugrid_plot", "nugrid_get_data"],
min=min,
max=max,
step=step)
frame.set_state(value)
def sel_movie_plot(widget, value):
data = frame.get_state_data("class_instance")
if value in ["movie_iso_abund", "movie_abu_chart"]:
cycle_list = data.se.cycles
step = int(cycle_list[1]) - int(cycle_list[0])
min = int(cycle_list[0])
max = int(cycle_list[-1])
mass_list = data.se.get(min, "mass")
mass_min, mass_max = mass_list[0], mass_list[-1]
mass_step = (mass_max - mass_min) / 200.0
frame.set_state_attribute("mass_range",
["movie_iso_abund", "movie_abu_chart"],
min=mass_min,
max=mass_max,
value=(mass_min, mass_max),
step=mass_step)
frame.set_state_attribute('cycle_range',
["movie_iso_abund", "movie_abu_chart"],
min=min,
max=max,
step=step,
value=(min, max))
frame.set_state(value)
def make_plot(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data = frame.get_state_data("class_instance")
variable_name = frame.get_attribute("variable_name", "value")
cycle = frame.get_attribute("cycle", "value")
cycle_range = frame.get_attribute("cycle_range", "value")
if state in states_movie:
sparsity = int(frame.get_attribute("sparsity", "value"))
xax = frame.get_attribute("xaxis", "value")
logx = frame.get_attribute("logx", "value")
yax = frame.get_attribute("yaxis", "value")
logy = frame.get_attribute("logy", "value")
if frame.get_attribute("set_amass", "value"):
amass = frame.get_attribute("amass_range", "value")
amass = [amass[0], amass[1]]
else:
amass = None
if frame.get_attribute("set_mass", "value"):
mass = frame.get_attribute("mass_range", "value")
mass = [mass[0], mass[1]]
else:
mass = None
lbound = frame.get_attribute("lbound", "value")
if frame.get_attribute("set_lims", "value"):
xlim = frame.get_attribute("xlim", "value")
ylim = frame.get_attribute("ylim", "value")
else:
xlim = [0, 0]
ylim = [0, 0]
xres = frame.get_attribute("xres", "value")
if xres == "":
xres = "1000"
yres = frame.get_attribute("yres", "value")
if yres == "":
yres = "1000"
xres = int(xres)
yres = int(yres)
ixaxis = frame.get_attribute("ixaxis", "value")
stable = frame.get_attribute("stable", "value")
ilabel = frame.get_attribute("ilabel", "value")
imlabel = frame.get_attribute("imlabel", "value")
imagic = frame.get_attribute("imagic", "value")
plot_star_mass = frame.get_attribute("plot_star_mass", "value")
plot_c12border = frame.get_attribute("plot_c12border", "value")
plot_engminus = frame.get_attribute("plot_engminus", "value")
plot_engplus = frame.get_attribute("plot_engplus", "value")
if state == "iso_abund":
data.iso_abund(cycle, stable, amass, mass, ylim)
elif state == "abu_chart":
plotaxis = [xlim[0], xlim[1], ylim[0], ylim[1]]
data.abu_chart(cycle,
mass,
ilabel,
imlabel,
imagic=imagic,
lbound=lbound,
plotaxis=plotaxis,
ifig=1)
elif state == "plot":
if isinstance(yax, basestring):
yax = [yax]
for yaxis in yax:
data.plot(xax, yaxis, logx=logx, logy=logy, shape="-")
elif state == "nugrid_plot":
if isinstance(yax, basestring):
yax = [yax]
for yaxis in yax:
data.plot(xax,
yaxis,
logx=logx,
logy=logy,
shape="-",
fname=cycle,
numtype="time")
elif state == "hrd":
data.hrd_new()
elif state == "kippenhahn":
data.kippenhahn(0,
"model",
plot_star_mass=plot_star_mass,
c12_bm=plot_c12border)
elif state == "kip_cont":
xlims = [xlim[0], xlim[1]]
ylims = [ylim[0], ylim[1]]
if (xlims == [0, 0]) and (ylims == [0, 0]):
xlim = frame.get_attribute("xlim", "value")
ylim = frame.get_attribute("ylim", "value")
xlims = [xlim[0], xlim[1]]
ylims = [ylim[0], ylim[1]]
data.kip_cont(modstart=xlims[0],
modstop=xlims[1],
ylims=ylims,
xres=xres,
yres=yres,
engenPlus=plot_engplus,
engenMinus=plot_engminus,
c12_boundary=plot_c12border,
ixaxis=ixaxis)
elif state == "tcrhoc":
lims = [xlim[0], xlim[1], ylim[0], ylim[1]]
if lims == [0, 0, 0, 0]:
lims = [3.0, 10.0, 8.0, 10.0]
data.tcrhoc(lims=lims)
elif state == "movie_iso_abund":
cycles = data.se.cycles
cyc_min = cycles.index("%010d" % (cycle_range[0], ))
cyc_max = cycles.index("%010d" % (cycle_range[1], ))
cycles = cycles[cyc_min:cyc_max:sparsity]
display(
data.movie(cycles,
"iso_abund",
amass_range=amass,
mass_range=mass,
ylim=ylim))
elif state == "movie_abu_chart":
cycles = data.se.cycles
cyc_min = cycles.index("%010d" % (cycle_range[0], ))
cyc_max = cycles.index("%010d" % (cycle_range[1], ))
cycles = cycles[cyc_min:cyc_max:sparsity]
plotaxis = [xlim[0], xlim[1], ylim[0], ylim[1]]
display(
data.movie(cycles,
"abu_chart",
mass_range=mass,
ilabel=ilabel,
imlabel=imlabel,
imagic=imagic,
plotaxis=plotaxis))
elif state == "get_data":
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data.get(xax)
print(
"\nThe data " + str(xax) +
" is loaded into the global namespace under the variable name \""
+ str(variable_name) + "\".")
elif state == "nugrid_get_data":
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data.se.get(cycle, xax)
print(
"\nThe data " + str(xax) +
" is loaded into the global namespace under the variable name \""
+ str(variable_name) + "\".")
frame.set_state_callbacks("variable_name", variable_name_handler)
frame.set_state_callbacks("yres", yres_handler)
frame.set_state_callbacks("xres", xres_handler)
frame.set_state_callbacks("select_plot", sel_plot)
frame.set_state_callbacks("movie_type", sel_movie_plot)
frame.set_state_callbacks("generate_plot",
make_plot,
attribute=None,
type="on_click")
frame.set_object("page_plotting", widgets.VBox())
frame.set_object("select_plot", widgets.Dropdown())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_name", widgets.HTML())
frame.set_object("movie_type", widgets.Dropdown())
frame.set_object("variable_name", widgets.Text())
frame.set_object("cycle_sparsity_group", widgets.HBox())
frame.set_object("cycle", widgets.IntSlider())
frame.set_object("cycle_range", widgets.IntRangeSlider())
frame.set_object("sparsity", widgets.Text())
frame.set_object("xax", widgets.HBox())
frame.set_object("xaxis", widgets.Select())
frame.set_object("logx", widgets.Checkbox())
frame.set_object("yax", widgets.HBox())
frame.set_object("yaxis", widgets.SelectMultiple())
frame.set_object("logy", widgets.Checkbox())
frame.set_object("mass_settings", widgets.VBox())
frame.set_object("set_amass", widgets.Checkbox())
frame.set_object("amass_range", widgets.IntRangeSlider())
frame.set_object("set_mass", widgets.Checkbox())
frame.set_object("mass_range", widgets.FloatRangeSlider())
frame.set_object("lbound", widgets.FloatRangeSlider())
frame.set_object("lim_settings", widgets.VBox())
frame.set_object("set_lims", widgets.Checkbox())
frame.set_object("ixaxis", widgets.Dropdown())
frame.set_object("ylim", widgets.FloatRangeSlider())
frame.set_object("xlim", widgets.FloatRangeSlider())
frame.set_object("yres", widgets.Text())
frame.set_object("xres", widgets.Text())
frame.set_object("stable", widgets.Checkbox())
frame.set_object("abu_settings", widgets.HBox())
frame.set_object("ilabel", widgets.Checkbox())
frame.set_object("imlabel", widgets.Checkbox())
frame.set_object("imagic", widgets.Checkbox())
frame.set_object("kipp_settings", widgets.HBox())
frame.set_object("plot_star_mass", widgets.Checkbox())
frame.set_object("plot_c12border", widgets.Checkbox())
frame.set_object("plot_engminus", widgets.Checkbox())
frame.set_object("plot_engplus", widgets.Checkbox())
frame.set_object("generate_plot", widgets.Button())
update_dir_bar_list()
frame.display_object("window")
def show3D_comparison(image,
gt,
pred,
bbox,
save_dir='paper_figs/',
show_all_legend=True):
'''
show 3d comparison plot of ground truth and prediction.
Four views: original CT image with zoomed in bbox, ground truth overlay on the image,
prediction overlay on the image, gt and pred contour outline comparison
image: CT image of dimension 3
gt: a list of 2 elements, the first is ground truth mask and the second is ground truth contour
pred: a list of 2 elements, the first is predicted mask and the second is predicted contour
bbox: [start, end], plot zoomed in region (defined by this param) for view 2 - 4
'''
continuous_update = False
# n_img = 1 + sum([not img is None for img in masks])
start, end = bbox
params = {
'z': 0,
'level': 0,
'width': 1000,
'show_mask': True,
'start': start,
'end': end
}
z_slider = w.IntSlider(min=0,
max=image.shape[0] - 1,
step=1,
value=params['z'],
continuous_update=continuous_update,
description="z")
level_slider = w.IntSlider(min=-1024,
max=1000,
step=1,
value=params['level'],
continuous_update=continuous_update,
description="level")
width_slider = w.IntSlider(min=-1024,
max=2000,
step=1,
value=params['width'],
continuous_update=continuous_update,
description="width")
mask_checkbox = w.Checkbox(value=True,
description='show mask',
disabled=False)
N = 3
plt.rcParams['legend.markerscale'] = 0.2
fig, axes = plt.subplots(1, N)
plt.subplots_adjust(hspace=0)
for i in range(N):
axes[i].set_axis_off()
def on_z_value_change(change):
params['z'] = change.new
plot_compare_figure(image, gt, pred, params, save_dir, show_all_legend)
def on_level_value_change(change):
params['level'] = change.new
plot_compare_figure(image, gt, pred, params, save_dir, show_all_legend)
def on_width_value_change(change):
params['width'] = change.new
plot_compare_figure(image, gt, pred, params, save_dir, show_all_legend)
def on_mask_value_change(change):
params['show_mask'] = change.new
plot_compare_figure(image, gt, pred, params, save_dir, show_all_legend)
display(z_slider, level_slider, width_slider, mask_checkbox)
z_slider.observe(on_z_value_change, names='value')
level_slider.observe(on_level_value_change, names='value')
width_slider.observe(on_width_value_change, names='value')
mask_checkbox.observe(on_mask_value_change, names='value')
plot_compare_figure(image, gt, pred, params, save_dir, show_all_legend)
def show3Dimg2(image, *masks):
'''
Plot contour and mask on original CT image using matplotlib
image: CT image of dimension 3.
*masks: usually consists of [mask, contour], then contour
would be plot using alpha=1 and mask using alpha 0.5.
'''
continuous_update = False
n_img = 1 + sum([not img is None for img in masks])
params = {'z': 0, 'level': 0, 'width': 1000, 'show_mask': True}
z_slider = w.IntSlider(min=0,
max=image.shape[0] - 1,
step=1,
value=params['z'],
continuous_update=continuous_update,
description="z")
level_slider = w.IntSlider(min=-1024,
max=1000,
step=1,
value=params['level'],
continuous_update=continuous_update,
description="level")
width_slider = w.IntSlider(min=-1024,
max=2000,
step=1,
value=params['width'],
continuous_update=continuous_update,
description="width")
mask_checkbox = w.Checkbox(value=True,
description='show mask',
disabled=False)
def plot_figure():
z = params['z']
level = params['level']
width = params['width']
show_mask = params['show_mask']
plt.imshow(image[z],
cmap='gray',
vmin=level - width / 2,
vmax=level + width / 2)
if show_mask:
for i in range(len(masks)):
mask = masks[i].astype(np.float32)
mask[mask == 0] = np.nan
plt.imshow(mask[z],
cmap=custom_cmap,
alpha=0.5 * (i + 1),
vmin=1,
vmax=28)
plt.axis('off')
plt.legend(handles=patches1,
bbox_to_anchor=(1.01, 1),
loc=2,
borderaxespad=0.)
plt.show()
def on_z_value_change(change):
params['z'] = change.new
plot_figure()
def on_level_value_change(change):
params['level'] = change.new
plot_figure()
def on_width_value_change(change):
params['width'] = change.new
plot_figure()
def on_mask_value_change(change):
params['show_mask'] = change.new
plot_figure()
display(z_slider, level_slider, width_slider, mask_checkbox)
z_slider.observe(on_z_value_change, names='value')
level_slider.observe(on_level_value_change, names='value')
width_slider.observe(on_width_value_change, names='value')
mask_checkbox.observe(on_mask_value_change, names='value')
plot_figure()
def four_panel_horizontal(var,
src_dir=WORK_DIR,
extract=True,
extr_kwargs={},
load=True,
load_kwargs={},
debug=False):
var_name = var.varname
# Extract the variables we want to plot, if necessary
if extract:
var.extract(src_dir,
act_cases=CASES_ACT,
aer_cases=CASES_AER,
**extr_kwargs)
else:
if debug: print("skipping extraction")
# Load into memory
if load:
var.load_datasets(src_dir, act_cases=CASES_ACT, aer_cases=CASES_AER)
else:
if debug: print("skipping loading")
# Coerce to DataArray
sample = var.data[CASES_ACT[0], CASES_AER[0]]
if isinstance(sample, Dataset):
var.apply(lambda ds: ds[var.varname])
if debug:
print("converted to dataarray from %r" % type(sample))
data_dict = var.data
# Set up area grid for weighted global averages
ds = data_dict[CASES_ACT[0], CASES_AER[0]]
area = area_grid(ds.lon, ds.lat)
total_area = np.sum(area.data)
# Compute PD-PI difference
max_diff = 0.
max_level = 0.
if debug: print("Reading...")
for act in CASES_ACT:
if debug: print(" ", act)
exp_pd = data_dict[act, "F2000"]
exp_pi = data_dict[act, "F1850"]
abs_diff = exp_pi - exp_pd
case_max_diff = np.max(abs_diff.data)
if debug: print(" max diff", case_max_diff)
if case_max_diff > max_diff:
max_diff = case_max_diff
_, case_max_level = min_max_cubes(exp_pd, exp_pi)
if debug: print(" max level", case_max_level)
if np.abs(case_max_level) > max_level:
max_level = case_max_level
if debug:
print("Final max diff/level -", max_diff, max_level)
#################################################################
act_control = widgets.Dropdown(description="Activation Case",
options=CASES_ACT)
proj_control = widgets.Dropdown(description="Map Projection",
options=["PlateCarree", "Robinson"])
max_level_trunc = widgets.FloatText(description="Trunc level",
value=max_level)
abs_top = np.ceil(1.5 * max_diff)
step = 0.01 if abs_top <= 1. else 0.1
if debug:
print("absolute slider range - ", 0., abs_top)
print(" step - ", step)
abs_control = widgets.FloatSlider(description="Max Abs. Difference",
value=abs_top,
min=0.,
max=abs_top,
width=150.,
step=step)
rel_control = widgets.IntSlider(description="Max Rel. Difference",
value=50,
min=0,
max=150,
width=150.)
reverse_cmap = widgets.Checkbox(description="Reverse colormap",
value=False,
width=150.)
colormap_text = widgets.Text(description="Colormap on PD/PI",
value="cubehelix_r")
plot_button = widgets.Button(description="Make Plot")
save_quality = widgets.Dropdown(description="Save quality",
options=["quick", "production", "vector"])
save_filename = widgets.Text(description="Save filename",
value="%s_horiz_PD-PI" % var_name)
save_button = widgets.Button(description="Save Figure")
form = widgets.VBox(width=1000)
hbox_make = widgets.HBox()
hbox_make.children = [act_control, proj_control, plot_button]
hbox_diff = widgets.HBox()
hbox_diff.children = [abs_control, rel_control]
hbox_cmap = widgets.HBox()
hbox_cmap.children = [max_level_trunc, reverse_cmap, colormap_text]
hbox_save = widgets.HBox()
hbox_save.children = [save_quality, save_filename, save_button]
form.children = [hbox_make, hbox_diff, hbox_cmap, hbox_save]
def _driver(*args, **kwargs):
if not debug: clear_output()
# Save the fig for later reference
global fig
fig = plt.figure("4panel_PD-PI", figsize=(12, 8))
fig.clf()
fig.set_rasterized(True)
exp_pd = data_dict[act_control.value, "F2000"]
exp_pi = data_dict[act_control.value, "F1850"]
pd_vs_pi_summary(exp_pd, exp_pi, area, max_level_trunc.value,
abs_control.value, rel_control.value,
reverse_cmap.value, colormap_text.value,
proj_control.value, fig)
def _savefig(*args, **kwargs):
global fig
save_figure(save_filename.value + ".4panel",
fig=fig,
qual=save_quality.value)
plot_button.on_click(_driver)
save_button.on_click(_savefig)
return display(form)
def start_PPM(global_namespace, local_dir="./"):
frame = framework.framework()
frame.set_default_display_style(padding="0.25em",
background_color="white",
border_color="LightGrey",
border_radius="0.5em")
frame.set_default_io_style(padding="0.25em",
margin="0.25em",
border_color="LightGrey",
border_radius="0.5em")
group_style = {
"border_style": "none",
"border_radius": "0em",
"width": "100%"
}
text_box_style = {"width": "10em"}
button_style = {"font_size": "1.25em", "font_weight": "bold"}
first_tab_style = {"border_radius": "0em 0.5em 0.5em 0.5em"}
states_plotting = ["plot_prof_time", "plot_tEkmax", "plot_vprofs", "get"]
states_loaded = ["data_loaded"] + states_plotting
states = states_loaded
frame.add_state(states)
frame.set_state_data("data_sets", [])
frame.set_state_data("data_set_count", 0)
frame.set_state_data("dir", os.path.abspath(local_dir))
frame.set_state_data("yaxis_options", [""], "plot_prof_time")
frame.set_state_data("yaxis_options", [""], "get")
frame.set_state_data("cycles", [])
frame.set_state_data("variable_name_timer", None)
def add_data_set(data, name):
data_set_count = frame.get_state_data("data_set_count")
data_sets = frame.get_state_data("data_sets")
widget_name = "data_set_widget_#" + str(data_set_count)
frame.add_io_object(widget_name)
frame.set_state_attribute(widget_name, visible=True, description=name)
frame.set_object(widget_name, widgets.Checkbox())
data_sets.append((data, name, widget_name))
frame.set_state_children("data_sets", [widget_name])
frame.set_state_data("data_sets", data_sets)
data_set_count += 1
frame.set_state_data("data_set_count", data_set_count)
def remove_data_set():
data_sets = frame.get_state_data("data_sets")
children = ["data_sets_title"]
tmp_data_sets = []
for i in xrange(len(data_sets)):
widget_name = data_sets[i][2]
if frame.get_attribute(widget_name, "value"):
frame.remove_object(widget_name)
else:
children.append(widget_name)
tmp_data_sets.append(data_sets[i])
data_sets = tmp_data_sets
frame.set_state_children("data_sets", children, append=False)
frame.set_state_data("data_sets", data_sets)
if data_sets == []:
frame.set_state()
def update_dir_bar_list():
dir = frame.get_state_data("dir")
dirs = [".", ".."] + os.listdir(dir)
frame.set_state_attribute("address_bar", value=dir)
frame.set_state_attribute("directory_list", options=dirs)
frame.add_display_object("window")
frame.add_io_object("Title")
frame.add_display_object("widget_data_set_group")
frame.add_display_object("widget")
frame.add_display_object("data_sets")
frame.add_io_object("data_sets_title")
##data page
frame.add_display_object("data_page")
frame.add_display_object("file_system_group")
frame.add_io_object("address_bar")
frame.add_io_object("directory_list")
frame.add_display_object("name_load_remove_group")
frame.add_io_object("data_set_name")
frame.add_io_object("data_set_load")
frame.add_io_object("data_set_remove")
##plotting page
frame.add_display_object("plotting_page")
frame.add_io_object("select_plot")
frame.add_io_object("plot_title")
frame.add_io_object("warning_msg")
frame.add_display_object("cycle_range_group")
frame.add_io_object("cycle")
frame.add_io_object("cycle_range")
frame.add_io_object("cycle_sparsity")
frame.add_io_object("variable_name")
frame.add_display_object("yaxis_group")
frame.add_io_object("yaxis")
frame.add_io_object("logy")
frame.add_io_object("plot")
frame.set_state_children("window", ["Title", "widget_data_set_group"])
frame.set_state_children("widget_data_set_group", ["widget", "data_sets"])
frame.set_state_children("data_sets", ["data_sets_title"])
frame.set_state_children("widget", ["data_page", "plotting_page"],
titles=["Data", "Plotting"])
frame.set_state_children("data_page",
["file_system_group", "name_load_remove_group"])
frame.set_state_children("file_system_group",
["address_bar", "directory_list"])
frame.set_state_children(
"name_load_remove_group",
["data_set_load", "data_set_remove", "data_set_name"])
frame.set_state_children("plotting_page", [
"select_plot", "warning_msg", "plot_title", "variable_name",
"cycle_range_group", "yaxis_group", "plot"
])
frame.set_state_children("cycle_range_group",
["cycle", "cycle_range", "cycle_sparsity"])
frame.set_state_children("yaxis_group", ["yaxis", "logy"])
frame.set_state_attribute("window", visible=True, **group_style)
frame.set_state_attribute("Title",
visible=True,
value="<center><h1>PPM explorer</h1></center>")
frame.set_state_attribute("widget_data_set_group",
visible=True,
**group_style)
frame.set_state_attribute("data_sets",
visible=True,
margin="3.15em 0em 0em 0em")
frame.set_state_attribute("data_sets_title",
visible=True,
value="<center><h2>Data Sets</h2></center>",
**group_style)
frame.set_state_attribute("widget", visible=True, **group_style)
frame.set_state_attribute("data_page", visible=True, **first_tab_style)
frame.set_state_attribute("file_system_group", visible=True, **group_style)
frame.set_state_attribute("address_bar", visible=True)
frame.set_state_attribute("directory_list", visible=True)
frame.set_state_attribute("name_load_remove_group",
visible=True,
**group_style)
frame.set_state_attribute("data_set_name",
visible=True,
description="Data set name:",
placeholder="Enter name",
**text_box_style)
frame.set_state_attribute("data_set_load",
visible=True,
description="Load data set",
**button_style)
frame.set_state_attribute("data_set_remove",
visible=True,
description="Remove data set",
**button_style)
def address_bar_handler(widget):
dir = frame.get_attribute("address_bar", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def directory_list_handler(name, value):
dir = frame.get_state_data("dir")
dir = dir + "/" + frame.get_attribute("directory_list", "value")
if os.path.isdir(dir):
dir = os.path.abspath(dir)
frame.set_state_data("dir", dir)
update_dir_bar_list()
frame.update()
frame.set_attributes("address_bar", value=dir)
frame.set_attributes("directory_list",
value=".",
selected_label=u".")
def data_set_load_handler(widget):
clear_output()
pyplot.close("all")
dir = frame.get_attribute("address_bar", "value")
data_set_count = frame.get_state_data("data_set_count")
name = frame.get_attribute("data_set_name", "value")
if name == "":
name = "Data set - " + "%03d" % (data_set_count + 1, )
data = ppm.yprofile(dir)
if data.files != []:
frame.set_state("data_loaded")
old_cycs = frame.get_state_data("cycles")
cycs = data.cycles
cycs = list(set(cycs) | set(old_cycs))
cycs.sort()
frame.set_state_data("cycles", cycs)
frame.set_state_data("yaxis_options", data.dcols, "plot_prof_time")
frame.set_state_data("yaxis_options", data.dcols + data.cattrs,
"get")
frame.set_state_attribute("cycle",
min=cycs[0],
max=cycs[-1],
value=cycs[-1])
frame.set_state_attribute("cycle_range",
min=cycs[0],
max=cycs[-1],
value=(cycs[0], cycs[-1]))
add_data_set(data, name)
frame.update()
def data_set_remove_handler(widget):
remove_data_set()
frame.update()
frame.set_state_callbacks("address_bar",
address_bar_handler,
attribute=None,
type="on_submit")
frame.set_state_callbacks("directory_list", directory_list_handler)
frame.set_state_callbacks("data_set_load",
data_set_load_handler,
attribute=None,
type="on_click")
frame.set_state_callbacks("data_set_remove",
data_set_remove_handler,
attribute=None,
type="on_click")
frame.set_object("window", widgets.Box())
frame.set_object("Title", widgets.HTML())
frame.set_object("widget_data_set_group", widgets.HBox())
frame.set_object("widget", widgets.Tab())
frame.set_object("data_sets", widgets.VBox())
frame.set_object("data_sets_title", widgets.HTML())
frame.set_object("data_page", widgets.VBox())
frame.set_object("file_system_group", widgets.VBox())
frame.set_object("address_bar", widgets.Text())
frame.set_object("directory_list", widgets.Select())
frame.set_object("name_load_remove_group", widgets.HBox())
frame.set_object("data_set_name", widgets.Text())
frame.set_object("data_set_load", widgets.Button())
frame.set_object("data_set_remove", widgets.Button())
frame.set_state_attribute("plotting_page", visible=True)
frame.set_state_attribute("select_plot",
states_loaded,
visible=True,
options={
"": "data_loaded",
"Profile time": "plot_prof_time",
"Velocity Profile": "plot_vprofs",
"tEkmax": "plot_tEkmax",
"Get Data": "get"
})
frame.set_state_attribute("warning_msg",
visible=True,
value="<h3>No data sets loaded!</h3>",
**group_style)
frame.set_state_attribute("warning_msg",
"data_loaded",
value="<h3>Select plot.</h3>")
frame.set_state_attribute("warning_msg", states_plotting, visible=False)
frame.set_state_attribute("plot_title", visible=False, **group_style)
frame.set_state_attribute("plot_title",
"plot_prof_time",
visible=True,
value="<h3>Prof_time</h3>")
frame.set_state_attribute("plot_title",
"plot_vprofs",
visible=True,
value="<h3>Plot Velocity Profiles</h3>")
frame.set_state_attribute("plot_title",
"plot_tEkmax",
visible=True,
value="<h3>tEkmax</h3>")
frame.set_state_attribute("plot_title",
"get",
visible=True,
value="<h3>Get Data</h3>")
frame.set_state_attribute("variable_name",
"get",
visible=True,
description="Variable name:",
placeholder="Enter name.",
**text_box_style)
frame.set_state_attribute("cycle_range_group",
["plot_prof_time", "plot_vprofs", "get"],
visible=True,
**group_style)
frame.set_state_attribute("cycle",
"get",
visible=True,
description="Cycle:")
frame.set_state_attribute("cycle_range", ["plot_prof_time", "plot_vprofs"],
visible=True,
description="Cycle range:")
frame.set_state_attribute("cycle_sparsity",
["plot_prof_time", "plot_vprofs"],
visible=True,
description="Cycle sparsity",
value=1)
frame.set_state_attribute("yaxis_group",
["plot_prof_time", "plot_vprofs", "get"],
visible=True,
**group_style)
frame.set_state_attribute("yaxis", ["plot_prof_time", "get"],
visible=True,
description="Yaxis:",
options=[""])
frame.set_state_attribute("logy", ["plot_prof_time", "plot_vprofs"],
visible=True,
description="Log Y axis:")
frame.set_state_attribute("plot",
states_loaded,
visible=True,
description="Generate Plot",
**button_style)
frame.set_state_attribute("plot", "get", description="Get Data")
def variable_name_full_validation(value):
frame.set_attributes("variable_name",
value=token_text(value, strict=True))
frame.set_state_data("variable_name_timer", None)
def variable_name_handler(name, value):
value = token_text(value)
frame.set_attributes("variable_name", value=value)
timer = frame.get_state_data("variable_name_timer")
if (value != token_text(value, strict=True)):
if timer != None:
timer.cancel()
timer = threading.Timer(1.0,
variable_name_full_validation,
kwargs={"value": value})
timer.start()
else:
if timer != None:
timer.cancel()
timer = None
frame.set_state_data("variable_name_timer", timer)
def select_plot_handler(name, value):
if value in ["plot_prof_time", "get"]:
frame.set_state_attribute("yaxis",
value,
options=frame.get_state_data(
"yaxis_options", value))
frame.set_state(value)
def plot_handler(widget):
clear_output()
pyplot.close("all")
state = frame.get_state()
data_sets = frame.get_state_data("data_sets")
variable_name = frame.get_attribute("variable_name", "value")
cycle = frame.get_attribute("cycle", "value")
cycle_min, cycle_max = frame.get_attribute("cycle_range", "value")
cycle_sparsity = int(frame.get_attribute("cycle_sparsity", "value"))
if state in ["plot_prof_time", "plot_vprofs"]:
cycles = range(cycle_min, cycle_max, cycle_sparsity)
yaxis = frame.get_attribute("yaxis", "value")
logy = frame.get_attribute("logy", "value")
no_runs = True
if state == "plot_prof_time":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.prof_time(cycs, yaxis_thing=yaxis, logy=logy)
elif state == "plot_vprofs":
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
cycs = data.cycles
cycs = list(set(cycs) & set(cycles))
cycs.sort()
no_runs = False
data.vprofs(cycs, log_logic=logy)
elif state == "plot_tEkmax":
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
no_runs = False
data.tEkmax(ifig=1, label=name, id=i)
i += 1
elif state == "get":
data_out = []
i = 0
for data, name, widget_name in data_sets:
if frame.get_attribute(widget_name, "value"):
if cycle in data.cycles:
i += 1
no_runs = False
if yaxis in data.cattrs:
data_out.append(data.get(attri=yaxis))
else:
data_out.append(data.get(attri=yaxis, fname=cycle))
else:
print("cycle out of range for " + name)
if data_out != []:
if i == 1:
data_out = data_out[0]
if variable_name == "":
print("No variable name.")
else:
global_namespace[variable_name] = data_out
print(
"\nThe selected data is now loaded into the global namespace under the variable name \""
+ variable_name + "\".")
if no_runs:
print "No data sets selected."
frame.set_state_callbacks("variable_name", variable_name_handler)
frame.set_state_callbacks("select_plot", select_plot_handler)
frame.set_state_callbacks("plot",
plot_handler,
attribute=None,
type="on_click")
frame.set_object("plotting_page", widgets.VBox())
frame.set_object("select_plot", widgets.Dropdown())
frame.set_object("warning_msg", widgets.HTML())
frame.set_object("plot_title", widgets.HTML())
frame.set_object("variable_name", widgets.Text())
frame.set_object("cycle_range_group", widgets.HBox())
frame.set_object("cycle", widgets.IntSlider())
frame.set_object("cycle_range", widgets.IntRangeSlider())
frame.set_object("cycle_sparsity", widgets.IntText())
frame.set_object("yaxis_group", widgets.HBox())
frame.set_object("yaxis", widgets.Select())
frame.set_object("logy", widgets.Checkbox())
frame.set_object("plot", widgets.Button())
update_dir_bar_list()
frame.display_object("window")
