def layout(symbols):
"""Return the UI layout."""
periods = [('1 day', 0), ('1 week', 1), ('1 month', 2), ('3 months', 3),
('1 year', 4), ('5 years', 5)]
return Div([
H3('Stock prices'),
Div([
Div([_symbol_selector_dropdown(symbols)],
style={
'width': '45%',
'float': 'left',
'display': 'inline-block'
}),
Div([_period_selector_radio(periods)],
style={
'width': '45%',
'float': 'right',
'display': 'inline-block'
})
],
style={
'display': 'inline-block',
'width': '100%'
}),
Graph(id='plot-stock', config={'displayModeBar': False})
])
def _generate_body(asset_name="", files=[]):
elements = []
elements.append(H2(" ".join(asset_name.split("-")).title()))
df_records = groupby(get_dataframes(files), lambda x: ".".join(x["record_path"].split(".")[:-2]))
for k, recs in df_records.items():
# Header
if k == "period":
continue
elements.append(H3(k))
elements.append(Div(len(recs)))
data = None
if len(recs) == 1:
# Data Vis: Chart or Table
data = recs[0]["data"]
elif len(recs) == 2:
df_num_idx = 0 if _is_series_numeric(recs[0]["data"]["value"]) else 1
df_str_idx = 1 - df_num_idx
df_num = recs[df_num_idx]["data"]
df_str = _reshape_dataframe_narrow_to_wide(recs[df_str_idx]["data"])
join_keys = list(df_num.columns.intersection(df_str.columns))
data = df_str.join(df_num.set_index(join_keys), on=join_keys, how="outer")
if data is not None:
if "value" in data.columns and _is_series_numeric(data["value"]) and "period" in data.columns:
elements.append(_generate_chart(data, asset_name + k))
else:
elements.append(_generate_table(data))
return elements
def per_machine_per_device_pie_charts(GPU_STATS, KEEP_ALIVE):
compute_machines = []
for machine_name, machine in GPU_STATS.items():
machine_devices = []
devices = machine["devices"]
for i, d in enumerate(devices):
used = d["used"] // MB_DIVISOR
total = d["total"] // MB_DIVISOR
used_ratio = used / total
used_ratio = [used_ratio] + [1.0 - used_ratio]
hover_text = [f"used:{used:.0f}mb", f"free:{total - used:.0f}mb"]
machine_devices.append(
Div(
[
Graph(
id=f"gpu_stats_{machine_name}{i}",
figure={
"data": [
graph_objs.Pie(
values=used_ratio,
text=hover_text,
name="used ratio",
hole=0.4,
)
],
"layout":
graph_objs.Layout(
title=f"{d['name']} cuda_idx:{d['id']}",
showlegend=False,
hovermode="closest",
),
},
style={
"width": "100%",
},
)
],
className="col",
))
compute_machines.append(
Div(
[
H3(
f"{machine_name}: {KEEP_ALIVE[machine_name]} sec ago",
className="text-monospace",
style={"text-decoration": "underline"},
),
Div([*machine_devices], className="row"),
],
style={
"text-align": "center",
"width": "100%",
},
))
return compute_machines
def logs():
return Col([
Row(
Col([H3('Logs'),
RefreshButton(btnid='kism-refresh-logs-btn')],
**dict(className='text-center'))),
Row(Col(Table(className='table', id='kism-logs-table')))
])
def lerz_helicorder():
return Col([
Row(
Col([
H3('KLUD'),
RefreshButton(btnid='lerz-refresh-helicorder-btn')
], **dict(className='text-center'))),
Row(Col(Img(id='lerz-helicorder-plot', src='', width='100%')))
])
def summit_helicorder():
return Col([
Row(
Col([
H3('RIMD'),
RefreshButton(btnid='kism-refresh-helicorder-btn')
], **dict(className='text-center'))),
Row(Col(Img(id='kism-helicorder-plot', src='', width='100%')))
])
def get_side_menu():
side_menu = Tabs(Tab(label='', tab_id='pctr_text'),
id='side-menu-tabs',
active_tab='pctr_text')
side_menu_col = Col(id='side-menu-col-2',
style=VISIBILITY_HIDDEN,
width=2,
children=[H3('', id='side-menu-header'), side_menu])
return side_menu_col
def summit_tiltv():
return Col([
Row(
Col([
H3('Tilt Vectors'),
RefreshButton(btnid='kism-refresh-tiltv-btn')
], **dict(className='text-center'))),
Row(Col(Img(id='kism-tiltv-plot', src='', width='100%')))
])
def ash3d():
return Col([
Row(
Col([H3('Ash3d'),
RefreshButton(btnid='refresh-ash3d-btn')],
**dict(className='text-center'))),
Row(Col(Img(id='ash3d-img', src='', width='100%')))
],
size=5)
def lerz_hypos():
return Col([
Row(Col(H3('Seismicity', style=dict(textAlign='center')))),
Row([
Col(dcc.RadioItems(id='lerz-hypos-radio',
options=[{
'label': 'Time',
'value': 'T'
}, {
'label': 'Depth',
'value': 'A'
}],
value='A'),
bp='md',
size=6,
**dict(className='text-center')),
Col(dcc.Dropdown(id='lerz-seismic-time-dropdown',
options=[{
'label': i.split('_')[1],
'value': PERIODS[i]
} for i in sorted(list(PERIODS.keys()))],
value=28800000,
searchable=False,
clearable=False),
bp='md',
size=2)
]),
Row([
Col(
Col([
Iframe(id='lerz-hypos-plot',
srcDoc='',
width='100%',
height=400),
Img(id='lerz-hypos-legend', src='', width='100%')
],
bp='md',
size=11,
**dict(className='offset-md-1'))),
Col(
Col(DataTable(
rows=[{}],
columns=('date', 'lat', 'lon', 'depth', 'prefMag'),
column_widths=[None, 125, 125, 75, 75],
filterable=True,
sortable=True,
id='lerz-datatable-hypos'),
bp='md',
size=11))
])
],
bp='md',
size=12)
def load_app(app):
"""
Callback loading given app into the appropriate :class:`Div` class
instance.
Parameters
----------
app : unicode
App path.
Returns
-------
Div
:class:`Div` class instance of the app layout.
"""
if app == app_1.APP_PATH:
return app_1.LAYOUT
elif app == app_2.APP_PATH:
return app_2.LAYOUT
else:
return Div([
P([
'Various colour science ',
A('Dash', href='https://dash.plot.ly/', target='_blank'),
' apps built on top of \n',
A('Colour',
href='https://github.com/colour-science/colour',
target='_blank'), '.'
]),
H3([
Link(app_1.APP_NAME, href=app_1.APP_PATH, className='app-link')
]),
Markdown(app_1.APP_DESCRIPTION.replace('This app c', 'C')),
H3([
Link(app_2.APP_NAME, href=app_2.APP_PATH, className='app-link')
]),
Markdown(app_2.APP_DESCRIPTION.replace('This app c', 'C')),
])
def lerz_gas():
return Col([
Row(
Col([
H3('LERZ SO2 Emissions'),
RefreshButton(btnid='lerz-refresh-so2-btn')
], **dict(className='text-center'))),
Row(
Col(dcc.Graph(id='lerz-so2-graph'),
bp='md',
size=10,
**dict(className='offset-md-1')))
])
def __init__(self):
super(GK_GUI, self).__init__()
self.app = dash.Dash()
self.serve_static()
print(__file__)
self.vars = {}
self.get_data()
self.app.layout = Div(children=[
H1(children='GEKKO results', style={'text-align': 'center'}),
Div(className='col-sm-3',
children=[
H3("options['INFO']"),
Div(children=[
self.make_options_table(self.options['INFO'],
["Option", "Value"])
]),
H3("options['APM']"),
Div(children=[
self.make_options_table(self.options['APM'],
["Option", "Value"])
])
]),
Div(className='col-sm-9', children=[self.make_tabs()])
])
def lerz_spectrograms():
return Col([
Row(
Col([
H3('Spectrograms'),
RefreshButton(btnid='lerz-refresh-spectrograms-btn')
], **dict(className='text-center'))),
Row([
Col(Img(id='lerz-pensive-plot', src=''),
size=5,
**dict(className='offset-md-1')),
Col(Img(id='lerz-ipensive-plot', src=''), size=5),
])
],
bp='md',
size=12)
def section_header(section, title):
return [
Row(Col(H3(f'{title}', style=dict(textAlign='center')))),
Row([
Col(dcc.Dropdown(id=f'{section}-{title.lower()}-time-dropdown',
options=[{
'label': i.split('_')[1],
'value': PERIODS[i]
} for i in sorted(list(PERIODS.keys()))],
value=28800000,
searchable=False,
clearable=False),
bp='md',
size=2,
**dict(className='offset-md-4')),
Col(RefreshButton(btnid=f'{section}-refresh-{title.lower()}-btn'),
**dict(className='offset-md-0.5'))
])
]
from random import randint
app = Dash(__name__)
N = 20
database = {
'index': list(range(N)),
'maiores': [randint(1, 1000) for _ in range(N)],
'menores': [randint(1, 1000) for _ in range(N)],
'bebes': [randint(1, 1000) for _ in range(N)],
}
app.layout = Div(children=[
H1('Evento X'),
H3('idade das pessoas que foram ao evento'),
Checklist(id='meu_check_list',
options=[{
'label': 'Menores de Idade',
'value': 'menores'
}, {
'label': 'Bebes',
'value': 'bebes'
}, {
'label': 'Maiores de idade',
'value': 'maiores'
}],
value=['bebes']),
Dropdown(id='meu_dropdown',
options=[
{
# layout
app.layout = html.Div(children=[
H1(
children=" Hivatkozási hálózat ",
style={
"color": "black",
"backgroundColor": "ffffff",
"text-align": "center",
},
),
html.Div(
children=[
html.P(
children=[
H3(children="Miről szól a projekt?"),
html.Element(dcc.Markdown(children=markdown_text), ),
],
className="six columns",
),
html.Div(
html.Iframe(
srcDoc=open("citation_net_VL_AAA_final.html").read(),
style={
"height": "100%",
"width": "100%"
},
),
style={"height": "400px"},
className="six columns",
),
env.process(warehouse_run(env,cutoff,target))
env.process(observe(env,observation_time,inventory_level_list))
env.run(until=days)
inventory_DF = pd.DataFrame({
'Time':observation_time,
'Inventory_Level':inventory_level_list
})
return inventory_DF
# UI layout - DASH app
app.layout = Div([
H3('Inventory Management using Discrete Event Simulation created by Karthik Anumalasetty'),
Div([A([Img(
src='data:image/png;base64,{}'.format(linkedin_image.decode()),
style={
'height' : '4%',
'width' : '4%',
'float' : 'right',
'position' : 'relative',
'padding-top' : 0,
'padding-right' : 0
})], href="https://www.linkedin.com/in/karthikanumalasetty/", target="_blank",
)]),
Div([A([Img(
src='data:image/jpg;base64,{}'.format(github_image.decode()),
style={
'height' : '8%',
' using the given *Chromatic Adaptation Transform*.')
"""
App description.
APP_DESCRIPTION : unicode
"""
APP_UID = hash(APP_NAME)
"""
App unique id.
APP_UID : unicode
"""
LAYOUT = Div([
H3([Link(APP_NAME, href=APP_PATH)], className='text-center'),
Div([
Markdown(APP_DESCRIPTION),
H5(children='Colourspace'),
Dropdown(id='colourspace-{0}'.format(APP_UID),
options=RGB_COLOURSPACES_OPTIONS,
value=RGB_COLOURSPACES_OPTIONS[0]['value'],
clearable=False,
className='app-widget'),
H5(children='Illuminant'),
Dropdown(id='illuminant-{0}'.format(APP_UID),
options=ILLUMINANTS_OPTIONS,
value=ILLUMINANTS_OPTIONS[0]['value'],
clearable=False,
className='app-widget'),
H5(children='Chromatic Adaptation Transform'),
#layout
app.layout = html.Div(children=[
H1(
children=f"{match_title} pass network",
style={
"color": "black",
"backgroundColor": "ffffff",
"text-align": "center",
},
),
html.Div(
children=[
html.Div(
children=[
H3(children="mi ez a cucc?"),
html.Element(
children="babababababababababbabaaabababababababababab",
),
],
className="six columns",
),
html.Div(
html.Iframe(
srcDoc=open("pass_network_team1.html").read(),
style={
"height": "100%",
"width": "100%"
},
),
style={"height": "400px"},
# layout
app.layout = html.Div(
children=[
H1(
children=f"{match_title} pass network",
style={
"color": "black",
"backgroundColor": "ffffff",
"text-align": "center",
},
),
html.Div(
children=[
html.P(
children=[
H3(children="What is this all about?"),
html.Element(dcc.Markdown(children=markdown_text),),
],
className="six columns",
),
html.Div(
html.Iframe(
srcDoc=open("pass_network_team1.html").read(),
style={"height": "100%", "width": "100%"},
),
style={"height": "400px"},
className="six columns",
),
],
className="row",
),
df_download = create_df_download(df_base)
minmax = get_minmax_from_df(df_download)
layout = Div([
# a storage to save the signal to update the tables and graphs
Store(id='download--store--signal'),
# title and subtitle
Div([
# title
H1(children='catalog-dash'),
# subtitle
H3(children='Download table analysis')
], style={'textAlign': 'center', 'color': colors['text']}),
# top tables - information table, date picker range and limit
Div([
# left table - information table
Div([
# title
P(
children='Table: Information',
style={'color': colors['text']}
),
# table information
DataTable(
id='download--table--information',
columns=[{'name': i, 'id': i} for i in df_information.columns],
from dash_core_components import Link
from dash_html_components import Br, Div, H1, H3
from app import url_base_pathname
from modules.utils import colors
layout = Div([
# title
H1(
children='publisher-dash',
style={
'textAlign': 'center',
'color': colors['text']
}
),
# subtitle
H3(
children='Index',
style={
'textAlign': 'center',
'color': colors['text']
}
),
# Link('Scene', href=f'{url_base_pathname}/scene'),
Br(),
Link('Publisher', href=f'{url_base_pathname}/publisher')
])
df_sd_ds_ym_long_lat = create_df_sd_ds_ym_long_lat(df_base)
minmax = get_minmax_from_df(df_sd_ds_ym_long_lat)
layout = Div([
# a storage to save the signal to update the tables and graphs
Store(id='scene--store--signal'),
# title and subtitle
Div([
# title
H1(children='catalog-dash'),
# subtitle
H3(children='Scene table analysis'),
], style={'textAlign': 'center', 'color': colors['text']}),
# number of scenes and information tables
Div([
# left div - number of scenes table
Div([
# title
P(
children='Table: Number of Scenes by Dataset and Year-Month',
style={'color': colors['text']}
),
# number of scenes table
DataTable(
id='scene--table--number-of-scenes',
columns=[{'name': i, 'id': i} for i in df_sd_dataset_year_month.columns],
