import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from apps import commonmodules
from app import app
layout = html.Div([
commonmodules.get_header(),
commonmodules.get_menu(),
html.H3('Line Chart'),
dcc.Graph(id='example-graph',
figure={
'data': [
{
'x': [1, 2, 3],
'y': [4, 1, 2],
'type': 'bar',
'name': 'SF'
},
{
'x': [1, 2, 3],
'y': [2, 4, 5],
'type': 'bar',
'name': u'Montreal'
},
],
'layout': {
'title': 'Dash Data Visualization'
}
}),
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from apps import commonmodules
from app import app
layout = html.Div([
commonmodules.get_header("Mail Page"),
commonmodules.get_menu(),
])
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
from apps import commonmodules
import pandas as pd
import numpy as np
# plotly libraries
from plotly import graph_objs as go
from app import app, df
layout = html.Div([
commonmodules.get_header("Stat Page"),
commonmodules.get_menu_from_stat(),
dcc.Graph(id="stat_layout"),
html.Div("some value", style={"display":"none"} ,id="useless")
])
@app.callback(Output('stat_layout', 'figure'),
[Input('useless', 'children'),
Input("check_user", "n_clicks"),
],
[State("id", "value"),
]
)
def display_stat(pathname, n_clicks, user_id):
# make the barplot
print("display stat")
df["id"] = df["id"].astype(str)
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from apps import commonmodules
from app import app
layout = html.Div([
commonmodules.get_header("Home Page"),
commonmodules.get_menu(),
])
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from apps import commonmodules
from app import app
layout = html.Div([
commonmodules.get_header("Yammer Page"),
commonmodules.get_menu(),
])