def Navbar(routes: dot = dot()):
children = [
NavItem(NavLink(value.nav, href=key, active=True))
for key, value in routes.items()
]
return NavbarSimple(children,
brand="PriceTracker",
brand_href="#",
color="primary",
dark=True,
id='app-navbar')
from dash_bootstrap_components import Container
from dash_html_components import H1
from dash_html_components import H4
from dash_html_components import Button
from dash.dependencies import Input as DInput
from dash.dependencies import Output as DOutput
from dotmap import DotMap as dot
import pandas as pd
import numpy as np
import plotly.express as px
import dash_core_components as dcc
from dash.dash import no_update
selected = dot({
'date': None,
'shop': None,
'kind': None
})
__prices_file = 'csv/prices.csv'
prices_df = pd.read_csv(__prices_file)
productOptions= prices_df.kind.unique()
productOptions = np.append(productOptions, ['All'])
dates = prices_df.date.unique()
shops = prices_df.shop.unique()
shops = np.append(shops, ["All"])
#TODO:
routes = dot({
'/':
dot({
'layout': home_page,
'nav': 'Home',
'title': 'Home'
}),
'/table':
dot({
'layout': table_page,
'nav': 'Table',
'title': 'Table'
}),
'/bars':
dot({
'layout': bars_page,
'nav': 'Bars',
'title': 'Bars'
}),
'/evolution':
dot({
'layout': evolution_page,
'nav': 'Evolution',
'title': 'Evolution'
}),
'/comparator':
dot({
'layout': comp_page,
'nav': 'Comparator',
'title': 'Comparator'
})
# '/maps/heat': dot({
# 'layout': heat_maps_page,
# 'nav': 'Heat',
# 'title': 'MM Heat Maps'
# }),
# '/maps/choro': dot({
# 'layout': choro_maps_page,
# 'nav': 'Choropleth',
# 'title': 'MM Choropleth Maps'
# })
})
from dash_html_components import Button
from dash.dependencies import Input as DInput
from dash.dependencies import Output as DOutput
from dotmap import DotMap as dot
import plotly.express as px
import pandas as pd
from dash.dash import no_update
import dash_core_components as dcc
#TODO:
#Dropdown limit
#Shop dropdown?
selected = dot({
'One': None,
'Two': None
})
selectedOne = dot({
'shop': None,
'kind': None
})
selectedTwo = dot({
'shop': None,
'kind': None
})
__prices_file = 'csv/prices.csv'
prices_df = pd.read_csv(__prices_file)
names = prices_df["name"].unique()
shops = prices_df.shop.unique()