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Added feature to select display units
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@camiloramirezgo
camiloramirezgo committed Sep 18, 2019
1 parent 22c35ed commit bf83e27
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Showing 2 changed files with 134 additions and 17 deletions.
3 changes: 2 additions & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
.idea
.snakemake
processed_data/*
results/*
results/*
148 changes: 132 additions & 16 deletions dashboard/app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -188,6 +188,8 @@

hover_template = '<br><b>Value</b>: %{y:.2f}' + '<br><b>Year</b>: %{x}'

units_dict = {'PJ': 1, 'Mtoe': 0.0238845897, 'MMboe': 0.163456, 'TWh': 0.277777778, None: 1}

##### Helper functions #####
def tfec_re_share(scenario, year_slider, layout_tfec):
dff = df_tfec_re.loc[(df_tfec_re['Scenario'] == scenario) & ((df_tfec_re['y'] >= year_slider[0]) & (df_tfec_re['y'] <= year_slider[1]))]
Expand All @@ -211,10 +213,11 @@ def tfec_re_share(scenario, year_slider, layout_tfec):

return data, layout_tfec

def get_general_graph(df, year_slider, variable, layout, title):
def get_general_graph(df, year_slider, variable, layout, title, units = None):
dff = df.loc[(df['y'] >= year_slider[0]) & (df['y'] <= year_slider[1])]
dff = dff.groupby(['y', 'Scenario']).agg({variable: 'sum'})
dff = dff.reset_index()
dff[variable] *= units_dict[units]

data = [
dict(
Expand Down Expand Up @@ -293,6 +296,18 @@ def get_general_graph(df, year_slider, variable, layout, title):
),
html.Div(
[
html.Div(
[
dbc.Button(
"Settings",
id="settings-button",
# className="mb-3",
# color="primary",
),
],
className="container",
style={'margin-bottom': '25px', 'margin-right': '25px'}
),
html.Div(
[
dbc.Button("Reference Energy System", id="open-res", style={'float': 'right'}),
Expand Down Expand Up @@ -362,6 +377,85 @@ def get_general_graph(df, year_slider, variable, layout, title):
style={'margin': 'auto', 'top': '0', 'right': '0', 'bottom': '0', 'left': '0'}
),

dbc.Collapse(
dbc.Card(
[
dbc.CardHeader("Units settings"),
dbc.CardBody(
[
html.Div(
[
html.P(
[
'Select energy ',
html.Span(
"units", id="units-tooltip-target"
),
],
className="control_label",
),
dbc.Tooltip(
[
html.P('PJ: Peta Joule', style={'font-size': '12px'}),
html.P('Mtoe: Mega tonne oil equivalent', style={'font-size': '12px'}),
html.P('MMboe: Million barrels of oil equivalent', style={'font-size': '12px'}),
],
style={'text-align': 'left', 'max-width': '500px'},
target="units-tooltip-target",
),
dcc.Dropdown(
id='energy_units',
options=[
{'label': 'PJ', 'value': 'PJ'},
{'label': 'Mtoe', 'value': 'Mtoe'},
{'label': 'MMboe', 'value': 'MMboe'},
],
value='PJ',
),
html.P(
[
'Select electricity ',
html.Span(
"units", id="el-units-tooltip-target"
),
],
className="control_label",
),
dbc.Tooltip(
[
html.P('PJ: Peta Joule', style={'font-size': '12px'}),
html.P('TWh: Terawatts hour', style={'font-size': '12px'}),
],
style={'text-align': 'left', 'max-width': '500px'},
target="el-units-tooltip-target",
),
dcc.Dropdown(
id='electricity_units',
options=[
{'label': 'PJ', 'value': 'PJ'},
{'label': 'TWh', 'value': 'TWh'},
],
value='TWh',
),
],
className="container",
),
# html.Div(
# [
# dcc.Graph(
# id='projection_graph',
# ),
# ]
# )
],
className="row flex-display",
)
]
),
id="settings",
className="container"
),

html.Div(
[
html.Div(
Expand Down Expand Up @@ -807,15 +901,17 @@ def set_state(value):
Input('tfec_scenario', 'value'),
Input('year_slider', 'value'),
Input('tfec_type', 'value'),
Input('energy_units', 'value'),
],
)
def update_tfec(scenario, year_slider, filter):
def update_tfec(scenario, year_slider, filter, units):
layout_tfec = copy.deepcopy(layout)
if filter == 'all':
data, layout_tfec = get_general_graph(df_tfec, year_slider, tfec_variable, layout, "Total Final Energy Consumption (PJ)")
data, layout_tfec = get_general_graph(df_tfec, year_slider, tfec_variable, layout, "Total Final Energy Consumption ({})".format(units), units)
elif filter == 'sector':
dff = df_tfec.loc[
(df_tfec['Scenario'] == scenario) & ((df_tfec['y'] >= year_slider[0]) & (df_tfec['y'] <= year_slider[1]))]
dff[tfec_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -829,10 +925,11 @@ def update_tfec(scenario, year_slider, filter):
]

layout_tfec["barmode"] = 'stack'
layout_tfec["title"] = "Total Final Energy Consumption (PJ)"
layout_tfec["title"] = "Total Final Energy Consumption ({})".format(units)
elif filter == 'fuel':
dff = df_tfec.loc[
(df_tfec['Scenario'] == scenario) & ((df_tfec['y'] >= year_slider[0]) & (df_tfec['y'] <= year_slider[1]))]
dff[tfec_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -846,7 +943,7 @@ def update_tfec(scenario, year_slider, filter):
]

layout_tfec["barmode"] = 'stack'
layout_tfec["title"] = "Total Final Energy Consumption (PJ)"
layout_tfec["title"] = "Total Final Energy Consumption ({})".format(units)

elif filter == 'RE':
data, layout_tfec = tfec_re_share(scenario, year_slider, layout_tfec)
Expand All @@ -862,18 +959,20 @@ def update_tfec(scenario, year_slider, filter):
Input('year_slider_supply', 'value'),
Input('electricity_visualization_drop', 'value'),
Input('electricity_type_drop', 'value'),
Input('electricity_units', 'value'),
],
)
def update_supply(scenario, year_slider, visualization, type):
def update_supply(scenario, year_slider, visualization, type, units):
layout_supply = copy.deepcopy(layout)

if visualization == 'el_demand':
if type == 'All':
data, layout_supply = get_general_graph(df_elec_demand, year_slider, elec_demand_variable, layout,
"Electricity demand (PJ)")
"Electricity demand ({})".format(units), units)
else:
dff = df_elec_demand.loc[
(df_elec_demand['Scenario'] == scenario) & ((df_elec_demand['y'] >= year_slider[0]) & (df_elec_demand['y'] <= year_slider[1]))]
dff[elec_demand_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -887,16 +986,17 @@ def update_supply(scenario, year_slider, visualization, type):
for tech in input_elec_demand[type].unique()
]

layout_supply["title"] = "Electricity demand (PJ)"
layout_supply["title"] = "Electricity demand ({})".format(units)
layout_supply["barmode"] = 'stack'

elif visualization == 'el_prod':
if type == 'All':
data, layout_supply = get_general_graph(df_supply, year_slider, supply_variable, layout,
"Electricity production (PJ)")
"Electricity production ({})".format(units), units)
else:
dff = df_supply.loc[
(df_supply['Scenario'] == scenario) & ((df_supply['y'] >= year_slider[0]) & (df_supply['y'] <= year_slider[1]))]
dff[supply_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -909,7 +1009,7 @@ def update_supply(scenario, year_slider, visualization, type):
for tech in input_production[type].unique()
]

layout_supply["title"] = "Electricity production (PJ)"
layout_supply["title"] = "Electricity production ({})".format(units)
layout_supply["barmode"] = 'stack'

elif visualization == 'el_co2':
Expand Down Expand Up @@ -985,12 +1085,14 @@ def update_supply(scenario, year_slider, visualization, type):
Output('el_access_graph', 'figure'),
[
Input('year_slider_el_access', 'value'),
Input('electricity_units', 'value'),
],
)
def el_access_graph(year_slider):
def el_access_graph(year_slider, units):
layout_access = copy.deepcopy(layout)

dff = df_elec_access.loc[(df_elec_access['Scenario'] == 'SDG7') & ((df_elec_access['y'] >= year_slider[0]) & (df_elec_access['y'] <= year_slider[1]))]
dff[elec_access_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -1004,7 +1106,7 @@ def el_access_graph(year_slider):
for tech in input_elec_access['VISUALIZATION'].unique()
]

layout_access["title"] = "Additional electricity needed for universal access (PJ)"
layout_access["title"] = "Additional electricity needed for universal access ({})".format(units)
layout_access["barmode"] = 'stack'

figure = dict(data=data, layout=layout_access)
Expand All @@ -1014,12 +1116,14 @@ def el_access_graph(year_slider):
Output('cooking_graph', 'figure'),
[
Input('year_slider_cooking', 'value'),
Input('energy_units', 'value'),
],
)
def cooking_graph(year_slider):
def cooking_graph(year_slider, units):
layout_cooking = copy.deepcopy(layout)

dff = df_cooking.loc[(df_cooking['Scenario'] == 'SDG7') & ((df_cooking['y'] >= year_slider[0]) & (df_cooking['y'] <= year_slider[1]))]
dff[cooking_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -1033,7 +1137,7 @@ def cooking_graph(year_slider):
for tech in input_cooking['VISUALIZATION'].unique()
]

layout_cooking["title"] = "Additional energy needed for universal access<br>to clean cooking fuels (PJ)"
layout_cooking["title"] = "Additional energy needed for universal access<br>to clean cooking fuels ({})".format(units)
layout_cooking["barmode"] = 'stack'

figure = dict(data=data, layout=layout_cooking)
Expand All @@ -1043,13 +1147,15 @@ def cooking_graph(year_slider):
Output('efficiency_graph', 'figure'),
[
Input('year_slider_efficiency', 'value'),
Input('energy_units', 'value'),
],
)
def efficiency_graph(year_slider):
def efficiency_graph(year_slider, units):
layout_efficiency = copy.deepcopy(layout)

dff = df_efficiency.loc[
(df_efficiency['Scenario'] == 'SDG7') & ((df_efficiency['y'] >= year_slider[0]) & (df_efficiency['y'] <= year_slider[1]))]
dff[efficiency_variable] *= units_dict[units]

data = [
dict(
Expand All @@ -1063,7 +1169,7 @@ def efficiency_graph(year_slider):
for tech in input_efficiency['VISUALIZATION'].unique()
]

layout_efficiency["title"] = "Reduction in energy consumption needed<br>to achieve energy efficiency target (PJ)"
layout_efficiency["title"] = "Reduction in energy consumption needed<br>to achieve energy efficiency target ({})".format(units)
layout_efficiency["barmode"] = 'stack'

figure = dict(data=data, layout=layout_efficiency)
Expand Down Expand Up @@ -1236,5 +1342,15 @@ def toggle_modal(n1, n2, is_open):
return not is_open
return is_open

@app.callback(
Output("settings", "is_open"),
[Input("settings-button", "n_clicks")],
[State("settings", "is_open")],
)
def toggle_collapse(n, is_open):
if n:
return not is_open
return is_open

if __name__ == '__main__':
app.run_server(debug=False)

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