def callback(self, *args, **kwargs) -> List[Any]:
"""Renders the parameter dependent plots and tables
"""
pars = kwargs["pars"]
if kwargs["show_additional_projections"]:
title = self.content["infected-v-revovered-title"]
time_evolution = self._build_frame(**kwargs)
time_evolution_data = plot_dataframe(
time_evolution.drop(columns=self.content["susceptible"]),
max_y_axis=pars.max_y_axis,
)
children = [
H4(title, id="infected-v-revovered-title"),
Graph(figure=time_evolution_data,
id="infected-v-revovered-graph"),
]
if kwargs["show_tables"]:
if kwargs["as_date"]:
time_evolution.index = time_evolution.index.strftime(
"%b, %d")
time_evolution_table_data = (df_to_html_table(
time_evolution, data_only=True, n_mod=7)
if kwargs["show_tables"] else {})
children.append(
Table(time_evolution_table_data,
id="infected-v-revovered-table"))
else:
children = []
return [children]
def create_header(idx: str, content: Dict[str, str]):
"""
Create heading element using localization map
"""
return H4(id=idx, children=content[idx])
shops = prices_df.shop.unique()
shops = np.append(shops, ["All"])
#TODO:
#Dropdown limit
today = date.today().strftime("%Y-%m-%d")
prices_today = prices_df[prices_df['date']==today]
fig = px.bar(prices_today, x='name', y='price',title="Product Prices")
bars_page = [
Container([
H1('Bar plot'),
H4('Select Date'),
dcc.Dropdown(
id='dateDropdown',
options=[{'label': i, 'value': i} for i in dates],
value=[i for i in dates]),
H4('Select shop'),
dcc.Dropdown(
id='shopDropdown',
options=[{'label': i, 'value': i} for i in shops],
value=[i for i in shops]),
H4('Select type of product'),
dcc.Dropdown(
id='productDropdown',
),
def create_header(idx: str, content: Dict[str, str]):
"""
Create heading element using localization map
"""
HEADER_STYLE = {"font-size": "1rem"}
return H4(id=idx, children=content[idx], style=HEADER_STYLE)
prices_df = pd.read_csv(__prices_file)
names = prices_df["name"].unique()
names = names[1:20]
shops = prices_df.shop.unique()
selected = dot({'shop': None, 'kind': None})
#TODO:
#Dropdown limit
#Shop dropdown?
#Line
evolution_page = [
Container([
H1('Evolution'),
H4('Select product'),
P("Shop"),
dcc.Dropdown(id='shopEvo',
options=[{
'label': i,
'value': i
} for i in shops],
value=[i for i in shops],
placeholder="Shop"),
P("Kind"),
dcc.Dropdown(id='productEvo', ),
Button("Load Products", id="LoadNamesEvo", n_clicks=0),
P("Product name"),
dcc.Dropdown(id='evolutionDropdown', ),
dcc.Graph(id="evolutionGraph")
],
from dash.dependencies import Output as DOutput
from dotmap import DotMap as dot
import pandas as pd
import dash_table
import datetime as date
import dash_core_components as dcc
__prices_file = 'csv/prices.csv'
prices_df = pd.read_csv(__prices_file)
productOptions = prices_df.kind.unique()
table_page = [
Container([
H1('Table'),
H4('Select type of product'),
dcc.Dropdown(id='productDropdown',
options=[{
'label': i,
'value': i
} for i in productOptions],
value=[i for i in productOptions]),
dash_table.DataTable(columns=[{
'name': 'Name',
'id': 'name',
'type': 'text'
}, {
'name': 'Kind',
'id': 'kind',
'type': 'text'
}, {
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()
comp_page = [
Container([
H1('Comparator'),
#First Product
H4('Select first product'),
P("Shop"),
dcc.Dropdown(
id='shopCompOne',
options=[{'label': i, 'value': i} for i in shops],
value=[i for i in shops],
placeholder="Shop"),
P("Kind"),
dcc.Dropdown(
id='productCompOne',
),
Button("Load Products", id="LoadNamesCompOne", n_clicks=0),
P("Product name"),
dcc.Dropdown(
id='nameCompOne',),
#Second Product