def impressjs(tree, embed=True, params=None):
head = tree[0]
body = tree[1]
def path(*args):
return join_path("thirdparty", "impressjs", *args)
# remove the default style
#head.remove(head.find("./style"))
add_class(body, "impress-not-supported")
failback = html.Div(
'<div class="fallback-message">' +
'<p>Your browser <b>doesn\'t support the features required</b> by' +
'impress.js, so you are presented with a simplified version of this' +
'presentation.</p>' +
'<p>For the best experience please use the latest <b>Chrome</b>,' +
'<b>Safari</b> or <b>Firefox</b> browser.</p></div>')
slides = html.Div(id="impress")
for item in list(body):
body.remove(item)
slides.append(item)
body.append(slides)
# <script src="js/impress.js"></script>
body.append(js(path("js", "impress.js"), embed))
body.append(html.Script("impress().init();"))
def revealjs(tree, embed=True, params=None):
head = tree[0]
body = tree[1]
params = params or {}
theme_name = params.pop("theme", "default") + ".css"
def path(*args):
return join_path("thirdparty", "revealjs", *args)
add_class(body, "reveal")
slides = html.Div(class_="slides")
for item in list(body):
body.remove(item)
slides.append(item)
body.append(slides)
# <link rel="stylesheet" href="css/reveal.css">
# <link rel="stylesheet" href="css/theme/default.css" id="theme">
head.append(css(path("css", "reveal.css"), embed))
head.append(css(path("css", "theme", theme_name), embed))
# <script src="lib/js/head.min.js"></script>
# <script src="js/reveal.min.js"></script>
body.append(js(path("lib", "js", "head.min.js"), embed))
body.append(js(path("js", "reveal.min.js"), embed))
head.append(css("rst2html5-reveal.css", embed))
params['history'] = True
param_s = json.dumps(params)
body.append(
html.Script("$(function () { Reveal.initialize(%s); });" % param_s))
def display_graphs(n_clicks, value):
graphs = []
for i in value:
filtered_df = df[df.unit_name == i]
min_y = filtered_df['PG_Unit_P10'].min() * .75
max_y = filtered_df['PG_Unit_P90'].max()
tmp_df = df[df['unit_name'] == i]
graphs.append(
dcc.Graph(id='graph-{}'.format(i),
figure={
'data':
[(go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['Unit'].round(2),
hovertemplate='Unit Score: %{y}',
name=i,
showlegend=False,
line=dict(width=2.5,
color='rgb(0,0,0)'))),
go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['PG_Unit_P10'].round(2),
hovertemplate='10th Pctl: %{y}',
showlegend=False,
name='PG 10th Pctl',
fill='tozeroy',
line=dict(width=0.5,
color='rgb(151, 204, 255)')),
go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['PG_Unit_P25'].round(2),
hovertemplate='25th Pctl: %{y}',
showlegend=False,
name='PG 25th Pctl',
fill='tonexty',
line=dict(width=0.5,
color='rgb(153, 255, 153)')),
go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['PG_Unit_P50'].round(2),
hovertemplate='50th Pctl: %{y}',
showlegend=False,
name='PG 50th Pctl',
fill='tonexty',
line=dict(width=0.5,
color='rgb(255, 255, 102)')),
go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['PG_Unit_P75'].round(2),
hovertemplate='75th Pctl: %{y}',
showlegend=False,
name='PG 75th Pctl',
fill='tonexty',
line=dict(width=0.5,
color='rgb(255, 204, 153)')),
go.Scatter(x=tmp_df['Quarter'],
y=tmp_df['PG_Unit_P90'].round(2),
hovertemplate='90th Pctl: %{y}',
showlegend=False,
name='PG 90th Pctl',
fill='tonexty',
line=dict(width=0.5,
color='rgb(255, 102, 102)'))],
'layout': {
'title': 'HOC/Pt Day {}'.format(i),
'yaxis': {
'range': [min_y, max_y]
}
},
},
style={
'height': '50vh',
'width': '90%'
}))
return html.Div(graphs)
available_units = df['unit_name'].unique()
quarters = df['Quarter'].unique()
quarters = sorted(quarters)
micu = df[df['unit_name'] == 'MICU 12120']
app.layout = html.Div([
html.Div([
html.Label('Clinical Units'),
dcc.Dropdown(id='units',
options=[{
'label': i,
'value': i
} for i in available_units],
value='',
searchable=False,
multi=True,
style={'width': '75%'}),
]),
html.Div([
html.Button(id='button', n_clicks=0, children='Add graph'),
html.Div(id='container',
children=dcc.Graph(figure={'data': []},
style={'display': 'none'})),
])
])
@app.callback(Output('container', 'children'), [Input('button', 'n_clicks')],
[State('units', 'value')])
def display_graphs(n_clicks, value):