def update_output(n_clicks):
print(n_clicks)
if n_clicks is None:
shown = True
print("shown = true")
raise PreventUpdate
else:
return html.Script(
alert(
'If you see this alert, then your custom JavaScript script has run!'
))
"""
server = Flask(__name__)
app = dash.Dash(__name__, server=server, external_stylesheets=external_stylesheets)
app.title='Virdash'
app.layout = html.Div([
# Meta data
html.Meta(
name='viewport',
content='width=device-width, initial-scale=1.0'),
html.Link(
rel='shortcut icon',
href='https://raw.githubusercontent.com/virdash/coronavirus/master/app/assets/favicon.ico'),
html.Script(
id='twitter',
src='https://platform.twitter.com/widgets.js'),
# Header section
html.Div([
html.Div([
html.H2('Virdash'),
], className='container')
], className='banner'),
html.Div([
# column 1
html.Div([
# Confirmed card
html.Div([
html.P(['Total Confirmed'], className='title'),
### Approximate p-value
An approximate p-value can also be calculated assuming that under Η₀, the sample proportion will follow a normal distribution with mean equal to 1/3 and variance equal to 2/(9*n), where n is the sample size. This approximate method may be used when the sample size is large (at least 25), thanks to Central Limit Theorem.
'''
attribution = '''
Built by [Justin Angevaare](http://onuncertainty.com) with [Plot.ly Dash](https://dash.plot.ly)
'''
app.title = 'TriangleDash'
app.layout = html.Div(
className='twelve columns',
children=[
html.Script(
type="text/javascript",
src=
"http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"
),
html.Div(
className='row',
children=[
html.Center(
html.
H1('TriangleDash: Triangle Test Calculator and Utilities'))
]),
html.Div(
className='row',
children=[
html.Div(className='six columns',
children=[dcc.Markdown(children=description)
]), # end of left side
def render_layout(resource):
return [html.Iframe(src=resource + "?ccfnsallddwef=" + str(hash(datetime.now())), style=iframe_style),
html.Script("sleep(1000);iframe=document.getElementByTagName('iframe')[0];iframe.src=iframe.src")]
Adapted from the suggestion by user 'mccalluc' found here:
https://community.plot.ly/t/problem-of-linking-local-javascript-file/6955/2
"""
uri = (
('data:;base64,').encode('utf8') +
urlsafe_b64encode(s.encode('utf8'))
).decode("utf-8", "strict")
return uri
app = dash.Dash(__name__)
katex = src="https://cdn.jsdelivr.net/npm/[email protected]/dist/katex.min.js"
app.scripts.append_script({ 'external_url' : katex })
auto_render = "https://cdn.jsdelivr.net/npm/[email protected]/dist/contrib/auto-render.min.js"
app.scripts.append_script({ 'external_url' : auto_render })
app.scripts.append_script({'external_url': "https://rawgit.com/nealde/electrochemistry/master/render.js"})
app.layout = html.Div(id='main',children=[
html.P(children='Delicious \(\pi\) is inline with my goals.'),
html.P(children='$$ \lim_{t \\rightarrow \infty} \pi = 0$$'),
html.P(style={'text-align':'left'}, children='\(\\leftarrow \pi\)'),
html.P(style={'text-align':'left'}, children='not much left.'),
html.P(style={'text-align':'right'},children='\(\pi \\rightarrow\)'),
html.P(style={'text-align':'right'},children='but it feels so right.'),
html.Script(children='renderMathInElement(document.body);'),
])
if __name__ == '__main__':
app.run_server(debug=True)
md=8),
dbc.Col(
[
dcc.Markdown('''
#### Sobre
Feito por Lucas ferreira,[Linkedin](https://www.linkedin.com/in/lfcosta-1996/)
Contato:[email protected]
Código fonte:[Github](https://github.com/lucs123/covid-brasil)
''')
],
width={'offset': 1},
)
])
#Layout
app.layout = html.Div(children=[
html.Script('async defer', src="https://buttons.github.io/buttons.js"),
dcc.Location(id='url'),
html.Header(children=navbar),
html.Br(),
dbc.Container(id='content', fluid=True),
html.Br(),
html.Hr(),
dbc.Container(footer, fluid=True)
])
@app.callback(Output('content', 'children'), [Input('url', 'pathname')])
def update_content(url):
if url == '/':
return map_layout
elif url == '/timeline':
mode='lines',
hovertext=format_coefs(model.coef_))
data = [trace0, trace1, trace2]
if dataset == 'custom':
data.insert(0, trace_contour)
layout = go.Layout(
title=f"Score: {test_score:.3f}, MSE: {test_error:.3f} (Test Data)",
legend=dict(orientation='h'),
margin=dict(l=25, r=25),
hovermode='closest')
return go.Figure(data=data, layout=layout)
external_css = [
"https://cdnjs.cloudflare.com/ajax/libs/normalize/7.0.0/normalize.min.css",
"https://fonts.googleapis.com/css?family=Open+Sans|Roboto", # Fonts
"https://maxcdn.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css",
# Base Stylesheet
"https://cdn.rawgit.com/xhlulu/9a6e89f418ee40d02b637a429a876aa9/raw/base-styles.css"
]
for css in external_css:
app.css.append_css({"external_url": css})
# Running the server
html.Script(src="C://Users/orbitronic/PycharmProjects/untitled2/myjs.js")
if __name__ == '__main__':
app.run_server(debug=True)
className='link',
href='https://plotcon.plot.ly/workshops'),
html.A('user guide',
className='link active',
href='https://plot.ly/dash/'),
html.A('plotly',
className='link',
href='https://plot.ly/')
])
]))
app.title = 'Dash User Guide and Documentation - Dash by Plotly'
app.layout = html.Div(
[html.Link(rel='stylesheet', href=css_link) for css_link in css] +
[html.Script(type='text/javascript', src=js_link) for js_link in js] + [
html.Meta(name='viewport',
content='width=device-width, initial-scale=1.0'),
html.Meta(name='description',
content=('Dash User Guide and Documentation. '
'Dash is a Python framework for building '
'reactive web apps developed by Plotly.')), header,
html.Div([
html.Div(id='wait-for-layout'),
html.Div([
html.Div(html.Div(id='chapter', className='content'),
className='content-container'),
],
className='container-width')
],
className='background'),
features = extract_bias_features(stmt)
result['features'] = features
return result
app = dash.Dash('Hello World')
# noinspection PyUnresolvedReferences
app.layout = html.Div([
html.Div(id="afscontianer1"),
html.Script(
async="async",
src="http://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"),
html.Script(""" (adsbygoogle = window.adsbygoogle || []).push({
google_ad_client: "ca-pub-9697562934451352",
enable_page_level_ads: true
});"""),
html.Script("""
google_adtest = "on";
google_ad_client: "ca-pub-9697562934451352";
"""),
html.Script(src="http://pagead2.googlesyndication.com/pagead/show_ads.js"),
dcc.Textarea(id='my-textarea',
placeholder='Enter a value...',
value='Enter text here...',
style={'width': '100%'}),
dcc.Dropdown(id='my-dropdown',
options=[{
'label': 'Coke',
'value': 'COKE'
}, {
html.Div(
style={'Clear': 'both'},
children=[
html.H4(
style={
'display': 'inline',
'textAlign': 'right'
},
children="Top 10 Jobs recommended to User ID "),
html.H4(id='output',
style={
'display': 'inline',
'textAlign': 'left'
})
]),
html.Script(id='particles-js',
src='E:/Thesis/recommender/assets/app.js'),
html.Div(style={
'backgroundColor': colors['background'],
'color': colors['text']
},
children=[
dash_table.DataTable(
id='table',
columns=[{
"name": i,
"id": i
} for i in df1.columns],
style_header={
'backgroundColor': 'white',
'fontWeight': 'bold'
},
clients = ['John', 'Sally', 'Cris']
portfolios = ['3401', '3403', '3404']
asset_classes = ['Equities', 'Fixed Income']
random_n = [5, 3]
#base chart height and width, into a list and adjusted with slider
chartW = 600
chartH = 500
sizes = [chartW, chartH]
# App layout
app.layout = html.Div(
children=[
#stylesheets and general head
html.Link(href='/static/style.css', rel='stylesheet'),
html.Script(src='/static/javascript.js'),
#LEFT
html.Div(
children=[
#HEADER
html.Div(children=[
html.H2('Control Panel'),
],
className='top-left'),
#LEFT NAV CONTENT
html.Div(children=[
html.Label('Dropdown 1'),
dcc.Dropdown(id='dropdown-1',
options=[{
'label': i,
'value': i
"float": "right",
},
),
dcc.Loading([
html.Div(
id="qc-table-div",
children=[dt.DataTable(id="qc-table")],
style={
"margin-top": "1.5em",
"minHeight": "400px",
},
)
]),
# hack to turn off browser autocomplete
html.Script(
children=
'document.getElementById("qc-table-columns").getAttribute("autocomplete") = "off";'
),
html.Div(id="tabs-content"),
]))
]),
html.Div(id="selection-output"),
html.Div(id="selected-raw-files", style={"visibility": "hidden"}),
dcc.Loading(
html.Div(id="shapley-values", style={"visibility": "hidden"})),
],
style={
"max-width": "90%",
"display": "block",
"margin": "auto"
},
)
flask_app = Flask(__name__)
dash_app = Dash(__name__, server=flask_app)
colors = {'background': '#AB1111', 'text': '#7FDBFF'}
dash_app.layout = html.Div(
id='universe',
style={'backgroundColor': colors['background']},
children=[
dcc.Location(id='url', refresh=False),
html.Script("""
function setCookie(name,value,days) {
var expires = "";
if (days) {
var date = new Date();
date.setTime(date.getTime() + (days*24*60*60*1000));
expires = "; expires=" + date.toUTCString();
}
document.cookie = name + "=" + (value || "") + expires + "; path=/";
}""",
type="text/JavaScript"),
html.Div(id='main-page',
style={'backgroundColor': colors['background']},
children=[
html.Div(id='page-header',
style={'backgroundColor': '#1B1111'},
children=[
html.P(children=[
"Username: ",
dcc.Input(type='text',
id='username',
import dash_html_components as html
from dash_dangerously_set_inner_html import DangerouslySetInnerHTML
from dash.dependencies import Input, Output
from datatable import DataTable
app = dash.Dash()
app.scripts.config.serve_locally = True
app.css.config.serve_locally = True
DF = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')
app.layout = html.Div([
html.Script(src='/static/js/custom.js'),
html.Script(src='/static/js/jquery.dataTables.min.js'),
# DangerouslySetInnerHTML('''
# <link rel="stylesheet" type="text/css" href="//cdn.datatables.net/1.10.12/css/jquery.dataTables.min.css">
# '''),
html.Link(href='/static/css/jquery.dataTables.min.css', rel='stylesheet'),
# html.Link(href='/static/css/dash.css', rel='stylesheet'),
html.H4('Continents'),
dcc.Dropdown(
id='continents',
options=[{'label': i, 'value': i} for i in DF['continent'].unique()],
),
html.H4('DataTable'),
html.Div([html.P()],
className='six columns'), # leave a gap of 6 columns
html.Div([dcc.RadioItems(id='graph-line', )],
className="six columns"),
],
className="row"),
html.Div(
[
html.H4(children='Bar Chart Race',
style={
'textAlign': 'center',
'color': colors['text'],
'backgroundColor': colors['background'],
},
className='twelve columns'),
html.Script(
src='https://public.flourish.studio/resources/embed.js'),
html.Iframe(src='https://flo.uri.sh/visualisation/2487975/embed',
width='1375',
height='450'),
],
className="flourish-embed flourish-bar-chart-race",
),
html.Br(),
#adding zone map
# check the zone of your district
html.Div([
html.H4(children='For more zonewise information',
style={
'textAlign': 'center',
'color': colors['text'],
import dash
import dash_html_components as html
app = dash.Dash()
app.layout = html.Div([html.Script('alert(1);', type='text/javascript')])
if __name__ == '__main__':
app.run_server()
html.Div(id='mynetwork'),
html.Div(id='loading'),
html.Div(className='legend unselected', children='not offered this sem'),
html.Div(className='legend selected', children='only offered this sem'),
html.Div(className='legend future_selected',
children='only offered next sem'),
html.Div(className='legend intersect_selected',
children='offered both sem'),
html.Div(id='instructions',
children='only shows classes from 2018S to 2026S'),
html.Div(id='config'),
#use div#graph-data to store json data that will be accessed by display.js
html.Div(
id='graph-data', style={'display': 'none'}, children=json.dumps(data)),
html.Script(src='display.js', defer=True)
])
@app.callback(Output('graph-data', 'children'),
[Input('year-chooser', 'value')])
def color_setter(year):
if year not in years_offered:
for node in data['nodes']:
node['color'] = selected
else:
for node in data['nodes']:
try:
if year_data.loc[node['id'][0:8]][
year]: #if course is offered in given year
node['color'] = selected
t.join()
for k, v in self.blocks.items():
blocks.append(v)
return blocks
# Create class objects.
block_constructor = BlockConstructor()
table_constructor = TableConstructor()
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div(
[
html.Header(html.Script(src=app.get_asset_url('gtag.js'))),
# Announcement Banner
dcc.Markdown(get_markdown(markdown_path + 'announcement.md'),
className='announcement-bar'),
# Site Header
html.Div([
html.Img(
src=
'https://github.com/Robswc/bitmex-ranker/raw/master/img/bitmex-ranker-logo.png',
className='bitmex-ranker-logo'),
html.Div([
dcc.Markdown(
get_markdown(markdown_path + 'sitedescription.md')),
html.Details([