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app.py
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app.py
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import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table
from dash.dependencies import Input, Output
import pandas as pd
import seaborn as sns
from input import scenarios, detailed, stock, order, colors_attributes, subsidies, color_policies, scenarios_table
pd.options.plotting.backend = 'plotly'
app = dash.Dash(__name__, meta_tags=[{'name': 'viewport', 'content': 'width=device-width'}])
app.title = 'Res-IRF User Interface'
server = app.server
folder_assets = os.path.join(os.path.dirname(__file__), 'assets')
with open(os.path.join(folder_assets, 'description.md'), 'r') as f:
description = f.read()
with open(os.path.join(folder_assets, 'contacts.md'), 'r') as f:
contacts = f.read()
app.layout = \
html.Div(
style={'height': '100%'}, # , 'background': 'white'
children=[
# Banner display
html.Div(
[
html.H2(
app.title,
id='title',
className='eight columns',
style={'margin-left': '3%'},
)
],
className='banner row',
),
# Description
html.Div(
className='container',
style={'margin-top': '0px', 'margin-bottom': '0px'},
children=[
# html.P(markdown.markdown(description))
dcc.Markdown(description)
]),
# Aggregated output - Dropdown buttons and graph
html.Div(
className='container',
# style={'padding': '35px 25px'},
style={'margin-bottom': '0px'},
children=[
html.H4(
'Aggregated output',
className='twelve columns',
style={'font-weight': 'bold',
'margin-left': '2%'}
),
html.Div(
children=[
html.P(
'Outputs to display',
style={'font-weight': 'bold', 'margin-bottom': '0px'},
className='plot-display-text'
),
dcc.Dropdown(
id='dropdown_to_show',
options=[{'label': x, 'value': x} for x in detailed.keys()],
value=['Consumption actual (TWh)'],
multi=True,
placeholder='Select output to display',
)],
className='six columns dropdown-box-first'
),
html.Div(
children=[
html.P(
'Scenarios to display',
style={'font-weight': 'bold', 'margin-bottom': '0px'},
className='plot-display-text'),
dcc.Dropdown(
id='dropdown_scenario',
options=[{'label': x, 'value': x} for x in scenarios],
value=scenarios[:4],
multi=True,
placeholder='Select scenario',
),
],
className='six columns dropdown-box-first'
),
html.Div(
dcc.Graph(id='line-chart'),
className='twelve columns'
)
]
),
# Stock by attribute - Dropdown buttons and graph
html.Div(
className='container',
# style={'padding': '35px 25px'},
style={'margin-bottom': '0px'},
children=[
html.H4(
'Stock by attributes',
className='twelve columns',
style={'font-weight': 'bold',
'margin-left': '2%'}
),
html.Div(
children=[
html.P(
'Scenarios to display',
style={'font-weight': 'bold', 'margin-bottom': '0px'},
className='plot-display-text'),
dcc.Dropdown(
id='dropdown_scenario_stock',
options=[{'label': x, 'value': x} for x in scenarios],
value=scenarios[0],
multi=False,
placeholder='Select scenario',
),
],
className='six columns dropdown-box-first'
),
html.Div(
children=[
html.P(
'Attributes',
style={'font-weight': 'bold', 'margin-bottom': '0px'},
className='plot-display-text'
),
dcc.Dropdown(
id='dropdown_attributes',
options=[{'label': x, 'value': x} for x in order.keys()],
value='Energy performance',
multi=False,
placeholder='Select attributes',
)],
className='six columns dropdown-box-first'
),
html.Div(
dcc.Graph(id='stacked-bar-chart'),
className='twelve columns'
)
]
),
# Subsidies - Dropdown buttons and graph
html.Div(
className='container',
# style={'padding': '35px 25px'},
style={'margin-bottom': '0px'},
children=[
html.H4(
'Policies cost',
className='twelve columns',
style={'font-weight': 'bold',
'margin-left': '2%'}
),
html.Div(
children=[
html.P(
'Scenarios to display',
style={'font-weight': 'bold', 'margin-bottom': '0px'},
className='plot-display-text'),
dcc.Dropdown(
id='dropdown_scenario_subsidies',
options=[{'label': x, 'value': x} for x in subsidies.keys()],
value=list(subsidies.keys())[0],
multi=False,
placeholder='Select scenario',
),
],
className='six columns dropdown-box-first'
),
html.Div(
dcc.Graph(id='area-subsidies-chart'),
className='twelve columns'
)
]
),
html.Div(
children=[
html.H6(
['Detailed scenarios displayed']
),
dash_table.DataTable(
columns=[{"name": i, "id": i} for i in scenarios_table.columns],
data=scenarios_table.to_dict('records'),
style_as_list_view=True,
style_header={
'backgroundColor': 'white',
'fontWeight': 'bold'
},
style_cell={'textAlign': 'left',
'font-size': '1rem',
'font_family': 'sans-serif'
},
),
html.Br(),
dcc.Markdown(contacts)
],
className='container',
),
]
)
@app.callback(
Output('line-chart', 'figure'),
[
Input('dropdown_to_show', 'value'),
Input('dropdown_scenario', 'value')
]
)
def update_line_chart(to_show_list, scenario):
color = sns.color_palette('husl', len(scenarios))
colors = {to_show: 'rgb{}'.format(color[k]) for k, to_show in enumerate(to_show_list)}
line = ['solid', 'dash', 'dot', 'longdash', 'dashdot', 'longdashdot'] * 10
lines = {scenario: line[k] for k, scenario in enumerate(scenarios)}
data = []
for to_show in to_show_list:
temp = detailed[to_show].loc[:, [c for c in detailed[to_show].columns if c in scenario]]
temp.columns = ['{} - {}'.format(to_show, c) for c in temp.columns]
data += [temp]
data = pd.concat(data, axis=1)
colors = {c: colors[c.split(' - ')[0]] for c in data.columns}
lines = {c: lines[c.split(' - ')[1]] for c in data.columns}
fig = data.plot(title=', '.join(to_show_list), template='simple_white',
labels=dict(index='Years', value=' '))
temp = {k: fig.data[k].name for k in range(data.shape[1])}
for key, item in temp.items():
fig.data[key].line.dash = lines[item]
fig.data[key].line.color = colors[item]
fig.update_layout(legend=dict(yanchor='top', orientation='h', x=0, y=-0.5), legend_title_text='Variable - Scenario')
return fig
@app.callback(
Output('stacked-bar-chart', 'figure'),
[
Input('dropdown_scenario_stock', 'value'),
Input('dropdown_attributes', 'value')
]
)
def update_stacked_bar_chart(scenario, attribute):
df = stock[scenario].groupby(attribute).sum().loc[order[attribute], :].T
fig = df.plot(kind='bar', template='simple_white', color_discrete_map=colors_attributes,
labels=dict(index='Years', value=' '), title='Stock by {}'.format(attribute))
return fig
@app.callback(
Output('area-subsidies-chart', 'figure'),
[
Input('dropdown_scenario_subsidies', 'value')
]
)
def update_area_subsidies_chart(scenario):
df = subsidies[scenario] / 10**6
fig = df.plot(kind='bar', template='simple_white', color_discrete_map=color_policies,
labels=dict(index='Years', value=' '),
title='Subsidies amount for {} (Millions euro)'.format(scenario)
)
return fig
if __name__ == '__main__':
app.run_server(debug=True)