def labels_updater(n): if promt is not None: promt_label = html.H2(promt) else: promt_label = html.H1(' ') if mask_detected: mask_label = html.H2('Mask Detected', style={'color': 'green'}) if body_temperature is not None: if temp_high: msg_label = html.H2('High Body Temperature Detected', style={'color': 'red'}) temp_label = temp_label = daq.Thermometer( id='thermometer', min=95, max=105, value=body_temperature, color='red', style={'padding': '10px'} ) elif temp_low: msg_label = html.H2('Normal Body Temperature', style={'color': 'green'}) temp_label = temp_label = daq.Thermometer( id='thermometer', min=95, max=105, value=body_temperature, color='green' ) else: temp_label = daq.Thermometer( id='thermometer', min=95, max=105, value=body_temperature, color='blue' ) msg_label = html.H2('Checking Temperature...') else: mask_label = html.H2('No Mask Detected', style={'color': 'red'}) temp_label = temp_label = daq.Thermometer( id='thermometer', min=95, max=105, value=0, color='blue' ) msg_label = html.H2('Detecting Mask...') return [html.H2(f'Visitor Id: {visitor_id}'), mask_label, temp_label, promt_label, msg_label]
def start(self, host_ip=None, port=8080, debug=False): thermometer_obj_list = list() div_list = [ html.H1('TempLogger Dash'), dcc.Graph( id='live-update-graph', animate=True, ), dcc.Interval( id='interval-component', interval=self.plot_interval * 1000, # in milliseconds n_intervals=0), ] callback_output_list = [ Output('live-update-graph', 'figure'), ] for device in self._device_config: th_id = '{}-thermometer'.format(device.lower()) callback_output_list.append(Output(th_id, 'value')) thermometer_obj_list.append( daq.Thermometer( id=th_id, value=20, min=0, max=35, style={ 'margin-bottom': '5%', 'width': '25%', 'display': 'inline-block', 'textAlign': 'center' }, showCurrentValue=True, units="C", label='Current temperature, {}'.format( self._device_config[device]['location'].capitalize()), labelPosition='top')) div_list.append( html.Div(thermometer_obj_list, style={'textAlign': 'center'})) self._app.layout = html.Div(html.Div(div_list)) @self._app.callback(callback_output_list, [Input('interval-component', 'n_intervals')]) def update_visualise(n): return self.visualise(n) if host_ip is None: hostname = socket.gethostname() host_ip = socket.gethostbyname(hostname) self._app.run_server(debug=debug, port=port, host=host_ip)
def climate_scenario(): return html.Div(children=[ html.H5(dcc.Markdown("**Scenario Selector**")), html.Br(), daq.Thermometer(id='my-daq-thermometer', min=0, max=8.5, scale={ 'start': 0, 'interval': 8.5, 'labelInterval': 2, 'custom': { 2: 2.6, 4: 4.5, 6: 6.0 } }, units="°C", value=0) ])
import dash import dash_core_components as dcc import dash_html_components as html import dash_daq as daq app = dash.Dash(__name__) app.layout = html.Div( [daq.Thermometer(id='my-daq-thermometer', min=95, max=105, value=98.6)]) if __name__ == '__main__': app.run_server(debug=True)
def UpdataPage(n_intervals): get_chunk = flow_from_df(df) for x in range(n_intervals): data = next(get_chunk) data.ts=pd.to_datetime(data['ts'],unit='ms') fig = make_subplots(rows=3, cols=2,horizontal_spacing=0.05, vertical_spacing=0.1,subplot_titles=("time vs CO","time vs humidity", "time vs temperature","time vs lpg","time vs Smoke")) fig['layout']['margin'] = { 'l': 30, 'r': 10, 'b': 30, 't': 30 } fig.append_trace({ 'x': data['ts'], 'y': data['co'], 'name': 'Time vs CO', 'mode': 'lines+markers', 'type': 'scatter' }, 1, 1) fig.append_trace({ 'x': data['ts'], 'y': data['humidity'], 'text': data['humidity'], 'name': 'time vs humidity', 'mode': 'lines+markers', 'type': 'scatter' }, 2, 1) fig.append_trace({ 'x': data['ts'], 'y': data['temp'], 'text': data['humidity'], 'name': 'time vs temperature', 'mode': 'lines+markers', 'type': 'scatter' }, 1, 2) fig.append_trace({ 'x': data['ts'], 'y': data['lpg'], 'text': data['lpg'], 'name': 'time vs lpg', 'mode': 'lines', 'type': 'scatter' }, 2, 2) fig.append_trace({ 'x': data['ts'], 'y': data['smoke'], 'text': data['smoke'], 'name': 'time vs smoke', 'mode': 'lines', 'type': 'scatter' }, 3, 1) fig.update_layout(height=700, showlegend=False) Tanker = daq.Gauge( value=data['lpg'].mean()*100, label='LPG in PPM', max=1, min=0, color={"gradient": True, "ranges": { "green": [0, .6], "yellow": [.6, .8], "red": [.8, 1]}}, ) Smoke = daq.Gauge( value=data['smoke'].mean()*100, label='Smoke in PPM', max=2.5, min=0, color={"gradient": True, "ranges": { "green": [0, 1.5], "yellow": [1.5, 2], "red": [2, 2.5]}}, ) Co = daq.Gauge( value=data['co'].mean()*100, label='CO in PPM', max=1, min=0, color={"gradient": True, "ranges": { "green": [0, .6], "yellow": [.6, .8], "red": [.8, 1]}}, ) Temp = daq.Thermometer( id='my-daq-thermometer', min=math.floor(data['temp'].min()), max=math.floor(data['temp'].max()), value=data['temp'].mean(), label="Temperature (F)", color="#9B51E0", ) motion = daq.Indicator( id='my-daq-indicator', value=data['light'][:1].values[0], label="Light Status", color='#b71c1c', style={ 'color': '#black' } ) hour = time.localtime(time.time())[3] hour = str(hour).zfill(2) minute = time.localtime(time.time())[4] minute = str(minute).zfill(2) Watch = daq.LEDDisplay( id='control-panel-utc-component', value=hour+':'+minute, label='Watch', size=50, color='#4a148c', ) Row=dbc.Row( children=[ dbc.Col( children=[motion, html.Br(),Watch] ), dbc.Col( children=[ Temp] ), dbc.Col( children=[Tanker] ), dbc.Col( children=[Smoke] ), dbc.Col( children=[Co] ) ] ) charts = dcc.Graph(figure=fig, config={"displayModeBar": False}) return [Row, charts]
targets = {"25": {"label": "TARGET"}}, color=theme['primary'], id='darktheme-daq-slider', className='dark-theme-control' ), html.Br(), daq.Tank( min=0, max=10, value=5, id='darktheme-daq-tank', className='dark-theme-control' ), html.Br(), daq.Thermometer( min=95, max=105, value=98.6, id='darktheme-daq-thermometer', className='dark-theme-control' ), html.Br() ]) app.layout = html.Div(id='dark-theme-container', children=[ daq.ToggleSwitch( id='toggle-theme', label=['Light', 'Dark'], value=True ), html.Br(), html.Div( id='theme-colors', children=[
for i in range(4)}, min=0, max=3, value=1, step=0.01, updatemode="drag") ]) result_label = html.Div( [html.H3(id="result-label"), html.H6("chance of exposure")]) result = html.Div( daq.Thermometer(id="result-thermometer", value=0, min=0, max=100, color="#f05454")) data_attribution = html.Div([ html.Span("Data from the "), html.A("State of California", href="https://www.ca.gov/", target="_blank"), html.Span(" and the "), html.A("US Census Bureau", href="https://www.census.gov/", target="_blank") ]) icon_attribution = html.Div([ html.Span("Icons made by "), html.A("Freepik", href="https://www.flaticon.com/authors/freepik", target="_blank"),
import dash import dash_daq as daq import dash_core_components as dcc import dash_html_components as html external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(__name__, external_stylesheets=external_stylesheets) app.layout = html.Div([ daq.Thermometer(id='my-thermometer', value=5, min=0, max=10, style={'margin-bottom': '5%'}), dcc.Slider( id='thermometer-slider', value=5, min=0, max=10, ), ]) @app.callback(dash.dependencies.Output('my-thermometer', 'value'), [dash.dependencies.Input('thermometer-slider', 'value')]) def update_thermometer(value): return value if __name__ == '__main__':
def update_values(value, n_intervals): cpu_temp = 50.0 pcb_temp = 30.0 system_time = 100 b_v = 12.0 battery_voltage = "%2.2f" % (b_v) memory_usage = 34 memory_max = 35 cpu_usage = 50 clock_speed = 1500 cpu_colour = "#44ff00" if cpu_temp > 70: cpu_colour = "#ff0000" elif cpu_temp > 60: cpu_colour = "#ff5500" elif cpu_temp > 55: cpu_colour = "#ff8800" elif cpu_temp > 50: cpu_colour = "#ffaa00" elif cpu_temp > 45: cpu_colour = "#dddd00" pcb_colour = "#44ff00" if pcb_temp > 45: pcb_colour = "#ff0000" elif pcb_temp > 40: pcb_colour = "#ff5500" elif pcb_temp > 35: pcb_colour = "#ff8800" elif pcb_temp > 30: pcb_colour = "#ffaa00" elif pcb_temp > 25: pcb_colour = "#dddd00" battery_bg_col = "#ffffff" battery_fg_col = "#00ff00" if (b_v < 10): battery_bg_col = "#ff0000" battery_fg_col = "#000000" elif (b_v < 11): battery_fg_col = "#ff0000" ret = html.Div([ html.Div( [ daq.Thermometer( label="PCB Temp", showCurrentValue=True, units="C", value=pcb_temp, color=pcb_colour, min=0, max=100, size=130, style={ "textAlign": "center", "width": "15%" }, ), daq.Thermometer( label="CPU Temp", showCurrentValue=True, units="C", value=cpu_temp, color=cpu_colour, min=0, max=100, size=130, style={ "textAlign": "center", "width": "15%" }, ), html.Div([ daq.LEDDisplay( label="Battery Voltage", value=battery_voltage, color=battery_fg_col, backgroundColor=battery_bg_col, size=40, ), daq.LEDDisplay( label="Clock Speed", value=clock_speed, color="#FF5E5E", size=40, ), ], style={ "textAlign": "center", "width": "19%" }), daq.Gauge( showCurrentValue=True, units="Percent", min=0, max=100, value=cpu_usage, color="#FF5E5E", label="CPU Usage", size=190, style={ "textAlign": "center", "width": "23%" }, ), daq.Gauge( showCurrentValue=True, units="MB", min=0, max=memory_max, value=memory_usage, color="#FF5E5E", label="Memory Usage", size=190, style={ "textAlign": "center", "width": "23%" }, ), ], style=flex_style, ), html.Div('Last response time: {}'.format( utils.decode_time(system_time).rstrip("0"))), ]) return ret
Thermometer = html.Div(children=[ html.H1('Thermometer Examples and Reference'), html.Hr(), html.H3('Default Thermometer'), reusable_components.Markdown("An example of a default Thermometer without \ any extra properties."), reusable_components.Markdown( examples['thermometer'][0], style=styles.code_container ), html.Div( examples['thermometer'][1], className='example-container', style={'overflow-x': 'initial'} ), html.Hr(), html.H3('Current value with units'), reusable_components.Markdown("Display the value of the thermometer along with \ optional units with ` showCurrentValue` and `units`."), ComponentBlock('''import dash_daq as daq daq.Thermometer( min=95, max=105, value=100, showCurrentValue=True, units="C" )''', style=styles.code_container), html.Hr(), html.H3('Height and width'), reusable_components.Markdown("Control the size of the thermometer by setting \ `height` and `width`."), ComponentBlock('''import dash_daq as daq daq.Thermometer( value=5, height=150, width=5 )''', style=styles.code_container), html.Hr(), html.H3('Label'), reusable_components.Markdown("Display a label alongside the thermometer in \ the specified positon by setting `label` and `labelPosition`."), ComponentBlock('''import dash_daq as daq daq.Thermometer( value=5, label='Current temperature', labelPosition='top' )''', style=styles.code_container), html.Hr(), html.H3('Custom scales'), reusable_components.Markdown("Control the intervals at which labels are displayed, \ as well as the labels themselves with the `scale` property."), ComponentBlock('''import dash_daq as daq daq.Thermometer( value=5, scale={'start': 2, 'interval': 3, 'labelInterval': 2, 'custom': { '2': 'ideal temperature', '5': 'projected temperature' }} )''', style=styles.code_container), html.Hr(), html.H3('Thermometer Properties'), generate_prop_info("Thermometer", lib=daq) ])
import dash import dash_daq as daq app = dash.Dash(__name__) app.layout = daq.Thermometer( value=80,min=-10, max=100, height=300 ) app.run_server(debug=True)
), daq.GraduatedBar( id='packaging-levels', min=0, max=100, step=5, color='blue', label='Packaging materials' ) ]), html.Div( className='indicator-box', children=[ html.H4("Manufacturing room temperature"), daq.Thermometer( id='manufacturing-temp', min=50, max=90, value=70, color='blue' ) ] ), dcc.Interval( id='polling-interval', n_intervals=0, interval=1*1000, disabled=True ), dcc.Store( id='annotations-storage', data=[] ) ])
}, 50: { 'label': '50' }, 75: { 'label': '75' } }), ]), ], className="pretty_container four columns"), html.Div([ daq.Thermometer( id='my-gauge', showCurrentValue=True, #color={"gradient":True,"ranges":{"red":[0,40],"yellow":[41,68],"green":[68.1,100]}}, label="Will Paper 7 be healthy?", max=100, min=0, value=60), ]) ]) @app.callback(Output('my-gauge', 'value'), [ Input('p1', 'value'), Input('p2', 'value'), Input('p3', 'value'), Input('p4', 'value'), Input('p5', 'value'), Input('p6', 'value'), ])
units="PSI", value=5, showCurrentValue=True, ) meter_4=daq.Gauge( color={"ranges":{"green":[0,5],"yellow":[5,9],"red":[9,10]}}, label="Tank-4", units="PSI", value=5, showCurrentValue=True, ) thm_1=daq.Thermometer( label="Tank-1", units="C", value=5, showCurrentValue=True, ) thm_2=daq.Thermometer( label="Tank-2", units="C", value=5, showCurrentValue=True, ) thm_3=daq.Thermometer( label="Tank-3", units="C", value=5, showCurrentValue=True, )
style={'width': '100%'}), html.Br(), html.Br(), html.P( "The Svalbard area is one of the fastest-warming places on Earth and this trend is forecasted to continue. " "The thermometer below shows the temperature anomaly compared to the 30-year average of 1961 - 1990.", style={'text-align': 'center'}), html.H3(id='output-thermometer-header', style={'text-align': 'center'}), html.Div( [ daq.Thermometer(label='Temperature anomaly', labelPosition='top', id='my-thermometer', min=0, max=12, showCurrentValue=True, color='red', style={ 'margin-bottom': '5%', 'backgroundColor': 'transparent' }), ], style={ 'width': '100%', 'display': 'inline-block', 'align-items': 'left', 'justify-content': 'left' }), html.Img(src=app.get_asset_url('SvalbardIMG3.jpg'), style={'width': '100%'}), html.Br(),
def update_values(value, n_intervals): data = pd.read_csv('/ramdisk/system.csv') try: current_values = data[[ 'system-time', 'battery-voltage', 'total-cpu-load', 'clock-speed', 'pcb-temp', 'cpu-temp', 'gpu-temp', 'memory-used', 'memory-total' ]].tail(1).iloc[0] cpu_temp = float(current_values['cpu-temp']) pcb_temp = float(current_values['pcb-temp']) system_time = round(current_values['system-time'], 3) b_v = float(current_values['battery-voltage']) battery_voltage = "%2.2f" % (b_v) memory_usage = int(current_values['memory-used']) memory_max = int(current_values['memory-total']) cpu_usage = float(current_values['total-cpu-load']) clock_speed = "%04d" % int(current_values['clock-speed']) cpu_colour = "#44ff00" if cpu_temp > 70: cpu_colour = "#ff0000" elif cpu_temp > 60: cpu_colour = "#ff5500" elif cpu_temp > 55: cpu_colour = "#ff8800" elif cpu_temp > 50: cpu_colour = "#ffaa00" elif cpu_temp > 45: cpu_colour = "#dddd00" pcb_colour = "#44ff00" if pcb_temp > 45: pcb_colour = "#ff0000" elif pcb_temp > 40: pcb_colour = "#ff5500" elif pcb_temp > 35: pcb_colour = "#ff8800" elif pcb_temp > 30: pcb_colour = "#ffaa00" elif pcb_temp > 25: pcb_colour = "#dddd00" battery_bg_col = "#ffffff" battery_fg_col = "#00ff00" if (b_v < 10): battery_bg_col = "#ff0000" battery_fg_col = "#000000" elif (b_v < 11): battery_fg_col = "#ff0000" ret = html.Div([ html.Div( [ daq.Thermometer( label="PCB Temp", showCurrentValue=True, units="C", value=pcb_temp, color=pcb_colour, min=0, max=100, size=130, style={ "textAlign": "center", "width": "15%" }, ), daq.Thermometer( label="CPU Temp", showCurrentValue=True, units="C", value=cpu_temp, color=cpu_colour, min=0, max=100, size=130, style={ "textAlign": "center", "width": "15%" }, ), html.Div([ daq.LEDDisplay( label="Battery Voltage", value=battery_voltage, color=battery_fg_col, backgroundColor=battery_bg_col, size=40, ), daq.LEDDisplay( label="Clock Speed", value=clock_speed, color="#FF5E5E", size=40, ), ], style={ "textAlign": "center", "width": "19%" }), daq.Gauge( showCurrentValue=True, units="Percent", min=0, max=100, value=cpu_usage, color="#FF5E5E", label="CPU Usage", size=190, style={ "textAlign": "center", "width": "23%" }, ), daq.Gauge( showCurrentValue=True, units="MB", min=0, max=memory_max, value=memory_usage, color="#FF5E5E", label="Memory Usage", size=190, style={ "textAlign": "center", "width": "23%" }, ), ], style=flex_style, ), html.Div('Last response time: {}'.format( utils.decode_time(system_time).rstrip("0"))), ]) except IndexError: ret = html.Div( 'Could not read system status file.\nIs core.py running, ramdisk correctly setup and system polling enabled in settings.py?' ) return ret
{'label': '1 Day Ago', 'value': 'day'}, {'label': '1 Week Ago', 'value': 'week'}, {'label': '1 Month Ago', 'value': 'month'}, {'label': 'None', 'value': 'fake'} ], value='fake', style=theme ) ]) ]), ]), html.Div(className='indicator-box'+class_theme['dark'], id='tmp1-container', children=[ html.H4("Blue CCD Temperature"), # Temperautre Thermometer for Blue CCD daq.Thermometer(id='tmp1-temp', min=0, max=273, value=100, color='blue' ), html.Br(), daq.LEDDisplay( # display temperature as LED box in K for Blue CCD id='tmp1-k-temperature', value='000000', color='blue', label={'label': 'K', 'style': {'font-size': '24pt'}}, labelPosition='right' ), html.Br(), daq.LEDDisplay( # display temperature in LED box in C for Blue CCD id='tmp1-c-temperature', value='000000', label={'label': 'C', 'style': {'font-size': '24pt'}},
"start": 40, "labelInterval": 10, "interval": 10 }, color={ "gradient": True, "ranges": { "blue": [30, 75], "red": [75, 100] }, }, ), className="two columns", ), html.Div( daq.Thermometer(id="my-thermometer", min=30, max=99, value=40), className="three columns", ), ], className="row", ), html.Div( [ html.Div( daq.LEDDisplay(id="my-leddisplay", value="40", color="#39FF14"), className="four columns", ), html.Div( daq.ColorPicker( id="my-colorpicker",
} } for index, depth_value in enumerate(get_depth_data())}, included=False, vertical=True, # tooltip={"placement": "topLeft"}, className="depthSlider") # themometer to show temperature: themometer = daq.Thermometer( id='thermometer', className="thermometer", value=0, min=0, max=40, # style={'height': '100vh'}, color=" #f83a3a", showCurrentValue=True, units=u'\N{DEGREE SIGN}' + "C", # size= '25%'#300, # labelPosition = "top", # label="hello" ) # a block with all the required indicators: indicators = html.Div( id="tempIndicators", className="tempIndicators", children=[ html.Div(id="surfaceMaxT", children=[ "Surface Maximum Temperature = NaN " +
def homepageDisplay(latestSensorData): # need to do this to get data for each sensor in the loop below df2 = latestSensorData.set_index('sensorID', drop=False) j = [] # this list holds section for each sensor # now loop for each sensor node # if more sensor nodes are available, change the range to sensorID + 1 # (i.e. if you have installed sensor 5, change the last number to 6 for sID in range(1, 5): #card creates a border around the sensors gauges k = [ dbc.Card( body=True, color='primary', outline=True, className='mt-2', children=[ dbc.Row([ # show the sensor number and latest timestamp for this sensor dbc.Col( [ html.H4('Sensor {:d}'.format(sID)), html.Div('Latest update'), html.Div(df2.at[sID, 'timestamp']) ], width=2, ), # show the temp in a thermometer dbc.Col( daq.Thermometer( min=-10, max=50, value=df2.at[sID, 'data.bmp180_temperature'], scale={ 'start': -10, 'interval': 5 }, showCurrentValue=True, units="C"), width="auto", ), # show humidity in a gauge dbc.Col( daq.Gauge( showCurrentValue=True, units="Rel.Humidity%", value=df2.at[sID, 'data.humidity'], label='Humidity', max=100, min=0, size=200, ), width="auto", ), # show air pressure in a gauge dbc.Col( daq.Gauge( showCurrentValue=True, units="Hectopascals (hPa)", value=df2.at[sID, 'data.bmp180_airpressure'], label='Barometer', max=1200, min=800, size=200, ), width="auto", ), # uses two rows to have the displays right under each other while still being # in the same row as the other gauges to show particulates reading as an LED display dbc.Col( [ dbc.Row( daq.LEDDisplay( label="PM2.5 (µg/m3)", labelPosition='bottom', backgroundColor="#5be4fc", color="#000000", value=df2.at[sID, 'data.pm25'].round(2)), ), dbc.Row( daq.LEDDisplay( label="PM10 (µg/m3)", labelPosition='bottom', backgroundColor="#5be4fc", color="#000000", value=df2.at[sID, 'data.pm10'].round(2)), ) ], width="auto", align="center", ), ]) ]) ] j.extend(k) # add section for each sensor to overall list of sections l = html.Div(children=[ dbc.Card( dbc.CardBody(j) # put all the sections inside another outer card ) ]) # return the overall homepage content return l
# Geo Location Based Prediction month_picker_slider2 = dcc.Slider( id='month_slider2', min=1, max=12, marks={ 1: "January", 2: "February", 3: "March", 4: "April", 5: "May", 6: "June", 7: "July", 8: "August", 9: "September", 10: "October", 11: "November", 12: "December" }, step=1, value=1, ) month_picker_row2 = html.Div(style={'textAlign': 'center', 'padding-bottom':'2rem'}, children=[html.Div(children='Query a Month:'), month_picker_slider2]) th = daq.Thermometer(id = 'th', value=0.00, min=0.00, max=100, showCurrentValue=True, width=20, height=450, label='Risk Percentage') label_cali_map2 = html.Div(html.H3(''),style={'margin-bottom':5, 'margin-left':5}) cali_map2 = dl.Map([dl.TileLayer(), dl.LayerGroup(id="layer")], id='map-id', style={'width':'100%', 'height':550}, center=[37.219306366090116, -119.66673872628975], zoom=5) cali_map_subdiv2 = html.Div(id = 'cal-map2',style={'columnCount': 2}, children=[cali_map2, th]) cali_map_div2 = html.Div(id = 'calmap2', children=[label_cali_map2, cali_map_subdiv2]) pred_div2 = html.Div(id = 'pred', children=[month_picker_row2, html.H3(className='county_graph_title', children=[f'Please pick a point from the map below']), cali_map_div2]) # End of Geo Located Based Prediction # Building App app.title = 'Cal Fire Dashboard' app.layout = html.Div(children=[dcc.Location(id='url', refresh=False), header, navbar, html.Div(id='page-content', children=[prompt_message_container, our_services])]) # Observer Functions
dbc.CardBody([ html.H5("Project by - Saurav Ganguly", className='text-danger') ]), ], color="danger", outline=True, className='text-center'), dbc.Card([ dbc.CardHeader("Temperature", className='h4 text-light bg-danger'), dbc.CardBody([ daq.Thermometer(id='thermometer', min=95, max=105, showCurrentValue=True, units="C", color="#FF5E5E", className='pt-2') ]), ], color="danger", outline=True, className='text-center'), dbc.Card([ dbc.CardHeader("Battery", className='h4 text-light bg-danger'), dbc.CardBody([ daq.GraduatedBar(id='graduatedbar', showCurrentValue=True, step=2, max=100,
style={ 'height': '300px', 'border-color': 'black' }), # centro esquerda html.Div( [ daq.Thermometer( id='left-top-graph', value=25, label='Temperatura Ambiente', min=0, max=45, color='yellow', scale={ 'start': 0, 'interval': 5, 'labelInterval': 1, }, showCurrentValue=True, units="C", ) ], className='three columns', # width: 30.6666666667%; style={ 'height': '300px', 'border-color': 'black' }), html.Div( [displays()],
}}, value=0, min=0, labelPosition='top', label={'label': "Avg. Speed (km/h)", 'style': {'font-size': 25}}, max=30 ) termo = daq.Thermometer( id='thermometer_widget', color='#D796EE', value=0, min=(-5), max=25, labelPosition='top', label={ 'label': "Avg. Temperature (°C)", 'style': { 'font-size': 25 }}, style={ 'margin-bottom': '5%' } ) duration = daq.LEDDisplay( id='duration_widget', label={'label': "Avg. Duration (s)", 'style': {'font-size': 25}}, labelPosition='top', value=0, color='#28435c' )
"ranges": { "green": [0, 8], "yellow": [8, 14], "red": [14, 20] } }, size=500, style={ 'display': 'inline-block', 'margin': '5%' }), daq.Thermometer(id='ondoke', min=0, max=100, showCurrentValue=True, style={ 'display': 'inline-block', 'marginLeft': '15%' }, size=500), dcc.Interval(id='intervalComp', interval=1000, n_intervals=0), ], style={'marginLeft': '10%'}), ], style={'margin': '5%'}), html.Div([ html.Div([html.H3(['Dash Cytoscape'], style=compTitle)]), html.Div([ dcc.Dropdown( id='dropdown-update-layout', value='grid',
color='blue', label='Catalyst'), daq.GraduatedBar(id='packaging-levels', min=0, max=100, step=5, color='blue', label='Packaging materials') ]), html.Div(className='indicator-box', id='temperature-container', children=[ html.H4("tmp1"), daq.Thermometer(id='manufacturing-temp', min=0, max=273, value=100, color='blue') ]) ]) temperatureRoot2 = html.Div() powerRoot2 = html.Div([ html.Div(id='PWSTATA-container', children=[ html.Div(className='indicator-box', id='pwstata-status', children=[ html.H4("Power Bank A"), daq.Indicator(id='pwa1-status',
import dash import dash_daq as daq import dash_core_components as dcc import dash_html_components as html import random external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(__name__, external_stylesheets=external_stylesheets) app.layout = html.Div([ daq.Thermometer(id='my-thermometer', value=5, min=30, max=110, style={'margin-bottom': '5%'}, showCurrentValue=True, units="F", label='Current temperature', labelPosition='top', color='red'), dcc.Interval( id='interval-component', interval=1 * 1000, # in milliseconds n_intervals=0), ]) @app.callback(dash.dependencies.Output('my-thermometer', 'value'), [dash.dependencies.Input('interval-component', 'n_intervals')]) def update_thermometer(n_intervals): value = random.uniform(40, 100)