# assigning df to object variable data
data_object = db()
region_country, country_city, state_city = data_object.get_dict()
external_stylesheets = [
'https://stackpath.bootstrapcdn.com/bootswatch/4.5.0/cyborg/bootstrap.min.css'
]
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'Temperature Data'
server = app.server
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink('About', href='#vis')),
dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem(
[html.I(className='linkedin'), ' LinkedIn'],
href='https://www.linkedin.com/in/patrick-wilky/',
target='_blank'),
dbc.DropdownMenuItem(
[html.I(className='github'), ' GitHub'],
href='https://github.com/PWalis/city_temp',
target='_blank'),
],
nav=True,
in_navbar=True,
label="Links",
),
import adusql as ads
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import pandas as pd
from constant import SEATTLE, INIT_ZOOM
from dash_daq import ToggleSwitch # requires dash_daq version 0.1.0
from folium import Map
# Navigation Bar
NavigationBar = dbc.NavbarSimple(
children=[
#dbc.NavItem(dbc.NavLink("Home", href="/")),
dbc.NavItem(dbc.NavLink("Map", href="/")),
dbc.NavItem(dbc.NavLink("Financial Feasibility", href="/finances")),
dbc.NavItem(dbc.NavLink("FAQ", href="/faq")),
#dbc.NavItem(dbc.NavLink("Transparency", href="/transparency")),
],
brand="Seattle ADU Feasibility",
brand_href=
"http://www.seattle.gov/services-and-information/city-planning-and-development",
brand_external_link=True,
color="primary",
dark=True,
fluid=True,
id="navbar",
style={})
# Address addressDropdown
adunit = ads.Connection()
import dash_table
server = Flask(__name__)
app = dash.Dash(__name__,
server=server,
external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
NAVBAR = dbc.Navbar(
children=[
dbc.NavbarBrand(html.Img(
src="https://gnps-cytoscape.ucsd.edu/static/img/GNPS_logo.png",
width="120px"),
href="https://gnps.ucsd.edu"),
dbc.Nav([
dbc.NavItem(
dbc.NavLink("GNPS FBMN Group Selector Dashboard", href="#")),
],
navbar=True)
],
color="light",
dark=False,
sticky="top",
)
DASHBOARD = [
dbc.CardHeader(html.H5("GNPS FBMN Group Selector Dashboard")),
dbc.CardBody([
dcc.Location(id='url', refresh=False),
html.Div(id='version', children="Version - 0.1"),
html.Br(),
html.H3(children='GNPS Task Selection'),
title='Customers',
range=[0, 350]),
yaxis=dict(showline=True,
linecolor='rgb(100, 100, 100)',
tickfont_color='rgb(100, 100, 100)',
title='Rate(stars)'),
paper_bgcolor='white',
plot_bgcolor='white')
####################################################################################################
# Site
HOME_LOGO = "https://www.nicepng.com/png/full/420-4209725_smart-homes-wifi-sign.png"
app = dash.Dash(external_stylesheets=[dbc.themes.BOOTSTRAP])
nav_item1 = dbc.NavItem(
dbc.NavLink("GitHub", href='https://github.com/Diana-Doe/homework'))
nav_item2 = dbc.NavItem(
dbc.NavLink("Database", href='https://www.smarthomedb.com/products'))
nav_item = dbc.NavItem(
dbc.NavLink(
"Dash Udemy Course",
href=
"https://www.udemy.com/course/plotly-dash/?referralCode=16FC11D8981E0863E557"
))
navbar = dbc.Navbar(
dbc.Container([
html.A(
# Use row and col to control vertical alignment of logo / brand
dbc.Row(
[
dbc.Col(html.Img(src=HOME_LOGO, height="30px")),
import dash_html_components as html
import dash_bootstrap_components as dbc
from dash.exceptions import PreventUpdate
import pandas as pd
import os
from apps import app_db, app_cosmos, app_map
### ---------------------------- NAV BAR ------------------------------- ###
# Nav Bar
LOGO = app.get_asset_url('logo.png') # update logo.png in assets/
# nav item links
nav_items = dbc.Container([
dbc.NavItem(dbc.NavLink('Cosmos', href='/')),
dbc.NavItem(dbc.NavLink('Database', href='/db')),
dbc.NavItem(dbc.NavLink('Map', href='/map'))
])
# navbar with logo
navbar = dbc.Navbar(
dbc.Container([
html.A(
# Use row and col to control vertical alignment of logo/brand
dbc.Row(
[
dbc.Col(html.Img(src=LOGO, height="30px")),
dbc.Col(dbc.NavbarBrand("DWR Sidewinder",
className="ml-2")),
],
# Read the CSV file with the data of the cameras and transform it to Pandas dataframe
cameras_df = pd.read_excel(path_data, sheet_name='cameras')
cameras_df = cameras_df.set_index('id_district', drop=True)
cameras_df = cameras_df[cameras_df['readable'] == 1]
# Malaga's university logo
UMA_LOGO = "https://www.uma.es/servicio-comunicacion/navegador_de_ficheros/Marcas-UMA/descargar/Marca%20Universidad%20de%20M%C3%A1laga/marcauniversidaddemalagaVERTICAL.png"
# ==============================================================================
# Forms menus
# ==============================================================================
# Make a reuseable navitem for the different examples
nav_items = dbc.Nav([
dbc.NavItem(dbc.NavLink("Real-time traffic", href="/real-traffic")),
dbc.NavItem(dbc.NavLink("Data search", href="/data-search")),
dbc.NavItem(dbc.NavLink("Cameras location", href="/camera-location")),
dbc.NavItem(
dbc.NavLink("GitHub", href="https://github.com/jrcaro/Rehoboam")),
dbc.NavItem(dbc.NavLink("About me", href="/about"))
],
className="ml-auto",
navbar=True,
style={
'font-weight': 'bold',
'font-size': '18px',
})
# Logo to the navbar brand
logo = dbc.Navbar(dbc.Container([
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
from app import app, server
from apps import home, pokemon_episode, pokemon_routes, sentiment_analysis
navbar = html.Div(children=[
dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Pokemon-episodes graph", href="/pokemon_episode")),
dbc.NavItem(dbc.NavLink("Sentiment analysis", href="/sentiment_analysis")),
dbc.NavItem(dbc.NavLink("Pokemon-routes graph", href="/pokemon_routes"))
],
brand="Pokemon graphs and analysis",
brand_href="/",
brand_style={'fontSize': '2.5rem'},
color="dark",
dark=True
)],
style={'fontSize': '2rem'}
)
app.layout = html.Div([
navbar,
dcc.Location(id='url', refresh=False),
html.Div(id='page-content')
])
def render_navbar():
"""Make Navbar"""
apps_dict = {
'converter': {
'render': app.config['NWB_GUI_RENDER_CONVERTER'],
'id': 'nav_nwb_converter',
'children': 'NWB Converter',
'href': '/converter'
},
'viewer': {
'render': app.config['NWB_GUI_RENDER_VIEWER'],
'id': 'nav_nwb_viewer',
'children': 'NWB Viewer',
'href': '/viewer'
},
'dashboard': {
'render': app.config['NWB_GUI_RENDER_DASHBOARD'],
'id': 'nav_nwb_dashboard',
'children': 'Dashboard',
'href': '/dashboard'
},
"close_gui": {
"render": True,
'id': "close_gui",
"children": "Close GUI",
"href": '/shutdown'
}
}
navchildren = []
for k, v in apps_dict.items():
if v['render']:
item = dbc.NavItem(
html.A(id=v['id'],
children=v['children'],
href=v['href'],
style={
"font-size": "120%",
"font-weight": "normal"
},
className='nav-link'))
navchildren.append(item)
navbar = dbc.Navbar(
[
html.A(
dbc.Row(
[
dbc.Col(html.Img(src=NAV_LOGO, height="60px")),
# dbc.Col(dbc.NavbarBrand("Navbar", className="ml-2")),
],
align="center",
no_gutters=True,
),
href="/",
id="nav_brand"),
dbc.Nav([dbc.Container(navchildren)],
horizontal='end',
className="ml-auto flex-nowrap mt-3 mt-md-0")
],
color="dark",
dark=True)
return navbar
df = import_data()
plot_df = bin_data(df)
geo = "https://raw.githubusercontent.com/jacPeach/covid-movement-map/master/uk_subdivisions.geojson"
slider_map = {
i: date
for i, date in enumerate(sorted(plot_df["date"].unique()))
}
navbar = dbc.NavbarSimple(children=[
dbc.NavItem(
dbc.NavLink("Data Source",
href="https://www.google.com/covid19/mobility/")),
dbc.NavItem(
dbc.NavLink("Source Code",
href="https://github.com/jacPeach/covid-movement-map"))
],
brand="Covid-19: UK Travel Changes",
brand_href="#",
color="dark",
dark=True)
app_layout = dbc.Container(children=[
dbc.Row(
dcc.Markdown("""
-----
This dashboard uses data sourced from the Google Community Mobility Reports.
import dash_bootstrap_components as dbc
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Data 1", href="/data1")),
dbc.NavItem(dbc.NavLink("Data 2", href="/data2")),
dbc.NavItem(dbc.NavLink("Data 3", href="/data3")),
dbc.NavItem(dbc.NavLink("Data 4", href="/data4")),
dbc.NavItem(dbc.NavLink("Live Data", href="/live")),
],
brand="AdaRel",
brand_href="/",
color="secondary",
dark=True,
)
# Imports from 3rd party libraries
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app, server
from pages import index, predictions, insights, process
navbar = dbc.NavbarSimple(
brand='BTCUSD Predictor',
brand_href='/',
children=[
dbc.NavItem(dcc.Link('About', href='/about', className='nav-link')),
],
sticky='top',
color="#082255",
dark=True,
fluid=True,
className='h1',
)
"""
navbar = dbc.Navbar(
dbc.Container(
[
html.A(
dbc.Row(
[
from scripts.leagueAnalysis import league_analysis
from app import app
# league_analysis_df = league_analysis(year=2020, leagueid=22328189)
# categories = list(league_analysis_df['variable'].unique())
# team_list = list(league_analysis_df['team_name'].unique())
layout = html.Div([
html.H3('Fantasy Team Analysis'),
# dcc.Link('Go to player table', href='/'),
# html.Br(),
# dcc.Link('Go to salary calculator', href='/salaryCalculator'),
# html.Br(),
# dcc.Link('Go to team optimizer', href='/optimalTeam'),
dbc.Nav([
dbc.NavItem(dbc.NavLink('Go to player table', href='/')),
dbc.NavItem(
dbc.NavLink('Go to salary calculator', href='/salaryCalculator')),
dbc.NavItem(dbc.NavLink('Go to team optimizer', href='/optimalTeam'))
],
horizontal='center'),
html.Div([
html.Div(dcc.Dropdown(
id='your-team', options=[], placeholder='Your Team'),
style={'width': '20%'}),
html.Div(dcc.Dropdown(id='league-picker',
options=[{
'label': 'Javale McGeenomes',
'value': '22328189'
}, {
'label': 'Losses Pool',
# Data inicial
capital_inicial = 1000
capital_meta = 2000
capital_actual = 0
app.layout = html.Div([
# Barra de Navegación
dbc.NavbarSimple(
children=[
# Boton subir archivo CSV
dbc.NavItem(
html.Div([
dcc.Input(id='username',
value='Ingresa la URL...',
type='text'),
html.Button(id='submit-button',
type='submit',
children='Subir archivo'),
html.Div(id='output_div')
])),
# Lista de submenu
dbc.DropdownMenu(children=[
dbc.DropdownMenuItem("Análisis", header=True),
dbc.DropdownMenuItem("Análisis de gráficos",
href="https://tradingview.com"),
dbc.DropdownMenuItem(
"Noticias económicas",
href="https://mx.investing.com/news/latest-news"),
],
nav=True,
in_navbar=True,
import requests
server = Flask(__name__)
app = dash.Dash(__name__,
server=server,
external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
NAVBAR = dbc.Navbar(
children=[
dbc.NavbarBrand(html.Img(
src="https://gnps-cytoscape.ucsd.edu/static/img/GNPS_logo.png",
width="120px"),
href="https://gnps.ucsd.edu"),
dbc.Nav([
dbc.NavItem(dbc.NavLink("GNPS Workflow URL Formatter", href="#")),
],
navbar=True)
],
color="light",
dark=False,
sticky="top",
)
DASHBOARD = [
dbc.CardHeader(html.H5("GNPS URL Formatter Dashboard")),
dbc.CardBody([
html.Div(id='version', children="Version - Release_1"),
html.Br(),
html.Div(children="Workflow Name"),
dcc.Dropdown(id="workflowname",
Requires dash-bootstrap-components 0.3.0 or later
"""
import dash
import dash_bootstrap_components as dbc
from dash import Input, Output, State, html
PLOTLY_LOGO = "https://images.plot.ly/logo/new-branding/plotly-logomark.png"
app = dash.Dash(external_stylesheets=[dbc.themes.BOOTSTRAP])
# try running the app with one of the Bootswatch themes e.g.
# app = dash.Dash(external_stylesheets=[dbc.themes.JOURNAL])
# app = dash.Dash(external_stylesheets=[dbc.themes.SKETCHY])
# make a reuseable navitem for the different examples
nav_item = dbc.NavItem(dbc.NavLink("Link", href="#"))
# make a reuseable dropdown for the different examples
dropdown = dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem("Entry 1"),
dbc.DropdownMenuItem("Entry 2"),
dbc.DropdownMenuItem(divider=True),
dbc.DropdownMenuItem("Entry 3"),
],
nav=True,
in_navbar=True,
label="Menu",
)
# this is the default navbar style created by the NavbarSimple component
## Sidebars
search_bar = dbc.Row(
[
dbc.Col(dbc.Input(type="search", placeholder="Search")),
dbc.Col(
dbc.Button("Search", color="primary", className="ml-2"),
width="100%",
),
],
no_gutters=True,
className="ml-auto flex-nowrap mt-3 mt-md-0",
align="center",
)
nav_item = dbc.NavItem(dbc.NavLink("Home", href="/", external_link=True))
nav_item1 = dbc.NavItem(dbc.NavLink("Ticker Info", href="/dashboard1", external_link=True))
nav_item2 = dbc.NavItem(dbc.NavLink("Ticker Trends", href="/dashboard2", external_link=True, disabled=True))
nav_item3 = dbc.NavItem(dbc.NavLink("My Blog", href="https://nelsonljs.github.io/myblog/"),
style = {"background-color": "#fffbe0"})
# dropdown = dbc.DropdownMenu(
# children=[
# dbc.DropdownMenuItem("Ticker Info", href = "/dashboard1", external_link=True),
# dbc.DropdownMenuItem("Ticker Trends", href = "https://github.com"),
# dbc.DropdownMenuItem(divider=True),
# dbc.DropdownMenuItem("Home", href = "/", external_link=True),
# ],
# nav=True,
# in_navbar=True,
# label="Menu",
# )
def Comparer_Base_layout(app):
app.title = "KBO analysis"
team_name = [
'SSG', 'SK', 'KIA', '두산', '한화', 'LG', '삼성', '키움', '롯데', 'NC', 'KT'
]
year = count_year()
batter_name = []
pitcher_name = []
app.layout = html.Div([
baselayout,
# 그래프
dbc.Container(
[
dbc.Row(
dbc.Col(
dbc.Alert(
"해당 분석은 한국프로야구단 공식 홈페이지인 KBO에서 스크래핑한 데이터를 바탕으로 진행되었습니다.",
color="secondary",
style={
'margin-top': 80,
'margin-right': 10,
'margin-left': 10
}))),
dbc.Row([
dbc.Col(children=[
dbc.Card(
[
dbc.CardHeader("팀별 분석 비교"),
dbc.CardBody(
dcc.Checklist(id='team_name_select',
value='',
options=[{
'label': i,
'value': i
} for i in team_name],
inputStyle={
'margin-right': '2px',
'margin-left': '2px'
},
labelStyle={
'margin-right': '7px',
'margin-left': '7px'
})),
],
color="light",
style={
'width': "auto",
'margin-top': 20,
'margin-left': 10,
'margin-right': 10,
'margin-bottom': 20
}),
dbc.CardColumns([
dbc.Card(
[
dbc.CardHeader("연도별 승리 추세선"),
dbc.CardBody(
dcc.Graph(id='team_win_graph',
hoverData={
'points': [{
'year':
'record'
}]
})),
],
style={
'width': "auto",
'margin-top': 20,
'margin-left': 10,
'margin-right': 10,
'margin-bottom': 20
}),
dbc.Card(
[
dbc.CardHeader("누적 월별 승률(%)"),
dbc.CardBody(
dcc.Graph(id='month_winprop_graph',
hoverData={
'points': [{
'year': 'prop'
}]
})),
],
style={
'width': "auto",
'margin-top': 20,
'margin-left': 10,
'margin-right': 10,
'margin-bottom': 20
})
])
],
xs=12,
sm=12,
md=6,
lg=6),
dbc.Col(children=[
dbc.Card(
[
dbc.CardHeader("선수별 분석 비교"),
dbc.CardBody(
dcc.RadioItems(
id="player",
options=[{
'label': '타자(Batter)',
'value': 'batter'
}, {
'label': '투수(Pitcher)',
'value': 'pitcher'
}],
value='batter',
inputStyle={'margin-right': '10px'},
labelStyle={'margin-right': '20px'}))
],
color="light",
style={
'width': "auto",
'margin-top': 20,
'margin-left': 10,
'margin-right': 10,
'margin-bottom': 20
}),
dbc.Card(
[
dbc.CardBody(
html.Div(
[
dcc.Dropdown(id='name_list',
options=[{
'label': i,
'value': i
} for i in batter_name
],
value=[''],
placeholder=
"Typing player name",
multi=True),
dcc.Graph(id='graph2')
],
style={
'width': '100%',
'display': 'inline-block',
'font-size': '80%',
'margin-bottom': 80,
'margin-top': 5
}))
],
style={
'width': "auto",
'margin-top': 20,
'margin-left': 10,
'margin-right': 10,
'margin-bottom': 20
})
],
xs=12,
sm=12,
md=6,
lg=6)
],
no_gutters=True,
justify="around"),
],
id="graphs",
style={
"width": "auto",
'margin-left': 210,
'color': None,
"transition": "all .2s",
"z-index": -1
},
fluid=True),
# 사이드바
html.Div(
[
html.Div(
[
dbc.Nav([
html.P("Main",
style={
'color': '#7E8083',
'font-size': '80%'
}),
html.Li(
dbc.Row([
dbc.Col(html.I(
className="fas fa-balance-scale fa-2x",
style={
'color': '#FFFFFF',
'margin-top': 11,
'font-size': 17,
'margin-left': -1.5
}),
width="auto"),
dbc.Col(
dbc.NavItem(
dbc.NavLink(
"Comparer",
href=
"http://127.0.0.1:5000/comparer/",
id="comparer",
style={
"color": "#FFFFFF",
'margin-left': -30
}))),
dbc.Col(dbc.NavItem(
dbc.NavLink(
html.I(
className=
"fas fa-chevron-right fa-xs",
style={
'color': '#FFFFFF',
'margin-top': 8
}),
href=
"http://127.0.0.1:5000/comparer/")
),
width=3)
])),
html.Br(),
html.Br(),
html.Br(),
html.P("Others",
style={
'color': '#7E8083',
'font-size': '80%'
}),
html.Li(
dbc.Row([
dbc.Col(html.I(
className="fas fa-project-diagram",
style={
'color': '#7E8083',
'margin-top': 12
}),
width="auto"),
dbc.Col(
dbc.NavItem(
dbc.NavLink(
"Teams",
href=
"http://127.0.0.1:5000/teams/",
id="teams",
style={
"color": "#7E8083",
'margin-left': -30
}))),
dbc.Col(dbc.NavItem(
dbc.NavLink(
html.I(
className=
"fas fa-chevron-right fa-xs",
style={
'color': '#7E8083',
'margin-top': 8
}),
href="http://127.0.0.1:5000/teams/"
)),
width=3)
])),
html.Li(
dbc.Row([
dbc.Col(html.I(
className="fas fa-chart-bar fa-2x",
style={
'color': '#7E8083',
'margin-top': 11,
'font-size': 20
}),
width="auto"),
dbc.Col(
dbc.NavItem(
dbc.NavLink(
"Batters",
href=
"http://127.0.0.1:5000/batters/",
id="batters",
style={
"color": "#7E8083",
'margin-left': -30
}))),
dbc.Col(dbc.NavItem(
dbc.NavLink(
html.I(
className=
"fas fa-chevron-right fa-xs",
style={
'color': '#7E8083',
'margin-top': 8
}),
href=
"http://127.0.0.1:5000/batters/")),
width=3)
])),
html.Li(
dbc.Row([
dbc.Col(html.I(
className="fas fa-table fa-2x",
style={
'color': '#7E8083',
'margin-top': 10,
'font-size': 18
}),
width="auto"),
dbc.Col(
dbc.NavItem(
dbc.NavLink(
"Pitchers",
href=
"http://127.0.0.1:5000/pitchers/",
id="pitchers",
style={
"color": "#7E8083",
'margin-left': -28
}))),
dbc.Col(dbc.NavItem(
dbc.NavLink(
html.I(
className=
"fas fa-chevron-right fa-xs",
style={
'color': '#7E8083',
'margin-top': 8
}),
href=
"http://127.0.0.1:5000/pitchers/")
),
width=3)
])),
],
vertical="md",
horizontal='start',
className="ml-auto"),
],
id="sidebar",
style={
"position": "fixed",
"top": 55,
"left": "-13rem",
"bottom": 0,
"width": "13rem",
"padding": "2rem 1rem",
"background-color": "#353A3F",
"transition": "left .2s"
})
],
id="side",
style={
"position": "fixed",
"top": 55,
"left": "0",
"bottom": 0,
"width": 0,
"background-color": "rgba(0, 0, 0, 0.5)",
"transition": "left .2s",
})
])
@app.callback(Output("sidebar", "style"), Output("graphs", "style"),
Output("side", "style"), [Input("sidebtn", "n_clicks")], [
State("sidebar", "style"),
State("graphs", "style"),
State("side", "style")
])
def toggle(n, style1, style2, style3):
if n and style1['left'] == "-13rem" and style2['margin-left'] == 0:
style1['left'] = 0
style2['margin-left'] = 210
style3['width'] = "100%"
return style1, style2, style3
else:
style1['left'] = "-13rem"
style2['margin-left'] = 0
style3['width'] = 0
return style1, style2, style3
@app.callback(Output('team_win_graph', 'figure'),
Output('month_winprop_graph', 'figure'),
Input('team_name_select', 'value'))
def update_output(value):
fig1 = go.Figure()
fig2 = go.Figure()
for i in range(len(value)):
year, prop, pred = team_win_table(value[i])
prop1 = month_win_prop(value[i])
fig1.add_trace(go.Scatter(x=year, y=prop, name=value[i]))
fig2.add_trace(
go.Bar(x=[3, 4, 5, 6, 7, 8, 9, 10],
y=prop1,
name=value[i],
text=prop1))
fig2.update_traces(texttemplate='%{text:.2f}',
textposition='outside')
fig1.update_layout(margin=dict(l=0, r=0, t=0, b=0),
template='plotly_white',
height=300,
xaxis=dict(tickmode='linear', dtick=1),
legend=dict(orientation="h",
yanchor="bottom",
xanchor="center",
x=0.5,
y=-0.2))
fig2.update_layout(margin=dict(l=0, r=0, t=0, b=0),
template='plotly_white',
height=300,
xaxis=dict(tickmode='linear', dtick=1),
legend=dict(orientation="h",
yanchor="bottom",
xanchor="center",
x=0.5,
y=-0.2))
return fig1, fig2
@app.callback(Output('name_list', "options"), Output('name_list', "value"),
Input('player', "value"))
def batter_name_list(value):
if value == 'pitcher':
pitcher_name = pitcher_names()
value = ['']
options = [{'label': i, 'value': i} for i in pitcher_name]
return options, value
else:
batter_name = batter_names()
value = ['']
options = [{'label': i, 'value': i} for i in batter_name]
return options, value
@app.callback(Output('graph2', "figure"), Input('name_list', "value"),
Input('player', "value"))
def batter_graph(value, value2):
if value2 == 'batter':
fig = make_subplots(rows=2,
cols=1,
vertical_spacing=0.1,
specs=[[{
"type": "scatterpolar"
}], [{
"type": "table"
}]])
df = pd.DataFrame(
columns=['NAME', 'AVG', 'OBP', 'SLG', 'ISO', 'EOBP'])
if len(value) == 0: value = ['']
for i in range(len(value)):
scores = c_batter_yearly_base(value[i])
df.loc[i] = scores[-1]
df.replace(scores[-1][0], value[i], inplace=True)
fig.add_trace(
go.Scatterpolar(r=list(scores[-1][1:]),
opacity=0.7,
theta=[
' 평균타율(AVG) ', ' 출루율(OBP) ',
' 장타율(SGL) ', ' 순장타율(ISO) ',
' 순출루율(EOBP) '
],
fill='toself',
name=value[i]), 1, 1)
fig.add_trace(
go.Table(header=dict(values=df.columns,
height=32,
fill_color='#6E757C',
line_color='#6E757C',
align='center',
font=dict(color='white')),
cells=dict(values=[
df.NAME, df.AVG, df.OBP, df.SLG, df.ISO, df.EOBP
],
fill_color='white',
line_color='#6E757C',
font=dict(color='black'),
align='center',
height=32)), 2, 1)
fig.update_layout(height=610,
margin=dict(l=0, r=0, t=35, b=0),
template=None,
polar=dict(radialaxis=dict(visible=True,
showticklabels=False,
ticks=''),
angularaxis=dict(showticklabels=True,
ticks='',
tickfont_size=13)),
yaxis=dict(anchor="free",
side="left",
position=0.015),
xaxis=dict(tickmode='linear', dtick=1),
legend=dict(orientation="h",
yanchor="bottom",
y=1.05,
xanchor="center",
x=0.5))
else:
fig = make_subplots(rows=2,
cols=1,
vertical_spacing=0.1,
specs=[[{
"type": "scatterpolar"
}], [{
"type": "table"
}]])
df = pd.DataFrame(
columns=['NAME', 'AVG', 'OBP', 'RA9', 'ERA', 'FIP'])
if len(value) == 0: value = ['']
for i in range(len(value)):
scores, temp = c_pitcher_yearly_base(value[i])
df.loc[i] = scores[-1]
df.replace(scores[-1][0], value[i], inplace=True)
df.replace(float('inf'), 0, inplace=True)
df = df.fillna(0)
fig.add_trace(
go.Scatterpolar(r=list(scores[-1][1:]),
opacity=0.7,
theta=[
' 피안타율(AVG) ', ' 피출루율(OBP) ',
' 평균실점(RA9) ', ' 평균자책점(ERA) ',
' 수비무관투구(FIP) '
],
fill='toself',
name=value[i]), 1, 1)
fig.add_trace(
go.Table(header=dict(values=df.columns,
height=32,
fill_color='#6E757C',
line_color='#6E757C',
align='center',
font=dict(color='white')),
cells=dict(values=[
df.NAME, df.AVG, df.OBP, df.RA9, df.ERA,
df.FIP
],
fill_color='white',
line_color='#6E757C',
font=dict(color='black'),
align='center',
height=32)), 2, 1)
fig.update_layout(height=610,
margin=dict(l=0, r=0, t=35, b=0),
template=None,
polar=dict(radialaxis=dict(visible=True,
showticklabels=False,
ticks=''),
angularaxis=dict(showticklabels=True,
ticks='',
tickfont_size=13)),
yaxis=dict(anchor="free",
side="left",
position=0.015),
xaxis=dict(tickmode='linear', dtick=1),
legend=dict(orientation="h",
yanchor="bottom",
y=1.05,
xanchor="center",
x=0.5))
return fig
return app
children=dbc.Button(id="return-start",
color="primary",
className="mr-1",
children="Return to start",
n_clicks=0))
])
### Specify initial layout ###
app.layout = html.Div(
id="main-body",
children=[
dbc.NavbarSimple(
children=[
dbc.DropdownMenu(children=[
dbc.NavItem(
dbc.NavLink("Basic",
id="basic-link",
href="http://localhost:8050",
n_clicks=0)),
dbc.NavItem(
dbc.NavLink("Anti Spoofing",
id="anti-spoofing-link",
href="/",
n_clicks=0))
],
nav=True,
in_navbar=True,
label="Select demo",
id="dropdown-menu")
],
brand="Group 5 Demo",
color="dark",
from app import server
from app import app
from apps import shells, attractors, more_attractors, home, style_transfer, rick_gen
import base64
image_filename = 'me.png' # logo
encoded_image = base64.b64encode(open(image_filename, 'rb').read())
#'data:image/png;base64,{}'.format(encoded_image.decode())
#app = dash.Dash(external_stylesheets=[dbc.themes.BOOTSTRAP])
# try running the app with one of the Bootswatch themes e.g.
# app = dash.Dash(external_stylesheets=[dbc.themes.JOURNAL])
# app = dash.Dash(external_stylesheets=[dbc.themes.SKETCHY])
# make a reuseable navitem for the different examples
nav_item = dbc.NavItem(dbc.NavLink("Home", href="/home"))
# make a reuseable dropdown for the different examples
dropdown = dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem("Sea Shells", href="/shell"),
dbc.DropdownMenuItem("Lorenz Attractors", href="/lorenz"),
dbc.DropdownMenuItem("More Attractors", href="/attractors"),
dbc.DropdownMenuItem("Style Transfer", href="/style_transfer"),
dbc.DropdownMenuItem(divider=True),
dbc.DropdownMenuItem("Coming soon"),
dbc.DropdownMenuItem("Rick & Morty Generator", href='/rick_gen'),
],
nav=True,
in_navbar=True,
label="Menu",
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
db = get_db()
df_ag = find_df('df_ag', db)
##########
### UI ###
##########
navbar = dbc.Navbar(
brand="Demo App",
brand_href="#",
sticky="top",
children=[
dbc.NavItem(dbc.NavLink("Page 1", href="#")),
dbc.NavItem(dbc.NavLink("Page 2", href="#")),
dbc.NavItem(dbc.NavLink("Page 3", href="#")),
dbc.NavItem(dbc.NavLink("About", href="#")),
# dbc.DropdownMenu(
# nav=True,
# in_navbar=True,
# label="Menu",
# children=[
# dbc.DropdownMenuItem("Entry 1"),
# dbc.DropdownMenuItem("Entry 2"),
# dbc.DropdownMenuItem(divider=True),
# dbc.DropdownMenuItem("Entry 3"),
# ],
# ),
],
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app, server
from pages import index, predictions, insights, process
# Navbar docs: https://dash-bootstrap-components.opensource.faculty.ai/l/components/navbar
navbar = dbc.NavbarSimple(
brand='Hotel Check-Out',
brand_href='/',
children=[
dbc.NavItem(
dcc.Link('Predictions', href='/predictions',
className='nav-link')),
#dbc.NavItem(dcc.Link('Insights', href='/insights', className='nav-link')),
dbc.NavItem(dcc.Link('Process', href='/process',
className='nav-link')),
],
sticky='top',
color='dark',
light=True,
dark=True)
# Footer docs:
# dbc.Container, dbc.Row, dbc.Col: https://dash-bootstrap-components.opensource.faculty.ai/l/components/layout
# html.P: https://dash.plot.ly/dash-html-components
# fa (font awesome) : https://fontawesome.com/icons/github-square?style=brands
# mr (margin right) : https://getbootstrap.com/docs/4.3/utilities/spacing/
wohntypen = df['Wohntyp'].unique()
wohntypendf = pd.DataFrame(wohntypen, columns=['c'])
wohntypendf = wohntypendf.dropna().sort_values('c')
regions = df['region'].unique()
regiondf = pd.DataFrame(regions, columns=['c'])
regiondf = regiondf.dropna().sort_values('c')
dev_states = df['dev_status'].unique()
dev_statesdf = pd.DataFrame(dev_states, columns=['c'])
dev_statesdf = dev_statesdf.dropna().sort_values('c')
# navbar
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Dashboard", href="#")),
dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem("Service 1", href="#"),
dbc.DropdownMenuItem("Service 2", href="#"),
],
nav=True,
in_navbar=True,
label="Services",
),
dbc.NavItem(dbc.NavLink("Profile", href="#")),
# dd space between links an logout button
dbc.NavItem(dbc.NavLink(" ")),
dbc.NavItem(dbc.NavLink(" ")),
dbc.NavItem(dbc.NavLink(" ")),
dbc.NavItem(dbc.NavLink(" ")),
agri = pd.read_csv("data_csv/crops.csv")
quan_vul = pd.read_csv("data_csv/qntify_vulnerability_192.csv")
read_vul = pd.read_csv("data_csv/readiness_ec_social_gov_192.csv")
antarc_mass = pd.read_csv("data_csv/antarctica_mass.csv")
green_mass = pd.read_csv("data_csv/greenland_mass.csv")
dice_model = pd.read_csv("data_csv/DICE_model.csv")
gsl_merged = pd.read_csv("data_csv/sl_merged.csv")
weather = pd.read_csv("data_csv/weather-events-US-1980-2017.csv")
weather['Year'] = weather['Begin Date'].astype(str)
weather['Year'] = weather['Year'].str.slice(0,4)
weather['Year'] = weather['Year'].astype(int)
nav_menu = dbc.Nav(
[
dbc.NavItem(dbc.NavLink("Home", href="/", id = "home-link", style={"color":"white", "fontWeight":"bold"})),
dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem("Carbon Dioxide Concentration", href='/co2', id = "co2-link"),
dbc.DropdownMenuItem("Carbon Dioxide Emission", href='/co2_emission', id = "co2-emiss-link"),
dbc.DropdownMenuItem("Surface Temperature", href='/temp', id = "temp-link"),
dbc.DropdownMenuItem("Antarctica Ice Sheet Mass", href='/antarc', id = "antarc-link"),
dbc.DropdownMenuItem("Sea Level Rise", href='/sea', id = "sea-link"),
dbc.DropdownMenuItem("Social Cost of Carbon", href='/scc', id = "scc-link")
],
nav=True,
in_navbar=True,
label='Climate Change Charts',
style={"color":"white", "fontWeight":"bold"}
),
dbc.DropdownMenu(
'Penthouse', 'Serviceflat', 'Studio', 'Tussenwoning',
'Twee onder kap', 'Villa', 'Vrijstaande woning',
'Woon-/winkelpand', 'Woonboerderij', 'Woonboot']
#Todo: ook gemiddelde prijs berekenen per gemeente
#Todo: Met 80, 90, 95% zekerheid confidence intervals gebaseerd op quantiles van average error
#Todo: multiple callbacks
#Todo: checken of perceeloppervlakte niet de m2 verpest
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'Huurprijs Indicator'
server = app.server
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Page 1", href="#")),
dbc.DropdownMenu(
children=[
dbc.DropdownMenuItem("More pages", header=True),
dbc.DropdownMenuItem("Page 2", href="#"),
dbc.DropdownMenuItem("Page 3", href="#"),
],
nav=True,
in_navbar=True,
label="More",
),
],
brand="Point Forecast Consultancy",
brand_href="http://www.pointforecastconsultancy.nl",
color="info",
dark=True,
height="30px",
),
href="https://plotly.com/dash/",
)),
dbc.Col(dbc.NavbarBrand("Object Properties App")),
modal_overlay,
],
align="center",
),
dbc.Row(
dbc.Col([
dbc.NavbarToggler(id="navbar-toggler"),
dbc.Collapse(
dbc.Nav(
[
dbc.NavItem(button_howto),
dbc.NavItem(button_gh)
],
className="ml-auto",
navbar=True,
),
id="navbar-collapse",
navbar=True,
),
]),
align="center",
),
],
fluid=True,
),
color="dark",
nav=True,
in_navbar=True,
style={
'text-decoration': 'none',
'padding': '0',
'color': '#FFF'
})
nav = dbc.Nav(children=[
dbc.NavItem(children=[
dbc.NavLink(children=[
html.Img(
src=
'https://emojis.slackmojis.com/emojis/images/1450822151/257/github.png',
style={'width': '15px'}), ' GitHub Repo'
],
href=
'https://github.com/RodolfoFerro/psychopathology-fer-assistant/',
className='nav-link btn btn-light text-dark',
style={'margin-top': '9px'})
],
className='nav-item mr-sm-2'),
dbc.NavItem(children=[dbc.NavLink(children=[dropdowns], )],
className='nav-item dropdown my-2 my-sm-0',
style={
'text-decoration': 'none',
'padding': '0'
})
],
className=
'navbar-nav navbar-expand-lg ml-auto flex-nowrap mt-3 mt-md-0',
SIDEBAR_STYLE = {
"position": "fluid",
}
# the styles for the main content position it to the right of the sidebar and
# add some padding.
CONTENT_STYLE = {
"position": "fixed",
"margin-left": "4rem",
"margin-right": "4rem",
"padding": "2rem 2rem",
}
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Summary", href="/page-1", id="page-1-link")),
dbc.NavItem(dbc.NavLink("Portfolio Composition", href="/page-2", id="page-2-link")),
dbc.NavItem(dbc.NavLink("PNL", href="/page-3", id="page-3-link")),
dbc.NavItem(dbc.NavLink("Stock Charts", href="/page-4", id="page-4-link")),
dbc.NavItem(dbc.NavLink("Transactions", href="/page-5", id="page-5-link")),
dbc.NavItem(dbc.NavLink("Risk Analysis", href="/page-6", id="page-6-link")),
],
brand="STOCKAPP",
brand_href="/page-1",
color="primary",
dark=True,
className="mb-4 containter-flex",
style=SIDEBAR_STYLE,
)
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import map_component as mc
from inputs import inputs
navbar = dbc.NavbarSimple(
children=[
dbc.NavItem(
dbc.NavLink(
"501 team GitHub",
href="https://github.com/coding-competition-2019/501")),
],
brand="501 Activities APP",
brand_href="#",
sticky="top",
)
body = html.Div(
[
dbc.Row([
dbc.Col(
[
html.H2("There is always time for sport..."),
html.P(""),
],
md=3,
),
]),
dbc.Row([
# _*_ coding: utf-8 _*_
"""
导航栏
"""
import dash_html_components as html
import dash_bootstrap_components as dbc
PLOTLY_LOGO = "https://images.plot.ly/logo/new-branding/plotly-logomark.png"
# 通用组件
nav_item1 = dbc.NavItem(children=dbc.NavLink("首页", href="/"))
nav_item2 = dbc.NavItem(children=dbc.NavLink("Link2", href="#"))
drop_down = dbc.DropdownMenu(children=[
dbc.DropdownMenuItem("More", header=True),
dbc.DropdownMenuItem("Entry app1", href="/app1"),
dbc.DropdownMenuItem("Entry app2", href="/app2"),
dbc.DropdownMenuItem(divider=True),
dbc.DropdownMenuItem("Entry app3", href="/app3"),
dbc.DropdownMenuItem("Entry app4", href="/app4"),
],
nav=True,
in_navbar=True,
label="Menu")
# 定义不同的导航栏
navbar_default = dbc.NavbarSimple(children=[nav_item1, nav_item2, drop_down],
brand="Dash",
brand_href="#",
sticky="top")
</body>
</html>"""
NAVBAR = dbc.Navbar(
children=[
dbc.NavbarBrand(
html.Img(
src="https://gnps-cytoscape.ucsd.edu/static/img/GNPS_logo.png",
width="120px",
),
href="https://gnps.ucsd.edu",
),
dbc.Nav(
[
dbc.NavItem(
dbc.NavLink(
"Metabolomics USI", href="/", className="nav-link")),
],
navbar=True,
),
],
color="light",
dark=False,
sticky="top",
)
DATASELECTION_CARD = [
dbc.CardHeader(
dbc.Row([
dbc.Col(html.H5("USI Data Selection")),
dbc.Col(
