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EnergyFlows.py
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EnergyFlows.py
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from dash import html
from dash import dcc
import dash_bootstrap_components as dbc
import pandas as pd
import os
CONTENT_STYLE = {
"margin-left": "0rem",
"margin-right": "1rem",
"border-style": "solid",
}
Country_List = [
"Samoa",
"Nauru",
"Vanuatu",
"Palau",
"Kiribati",
"Cook Islands",
"Solomon Islands",
"Tonga",
"New Caledonia",
"French Polynesia",
"Micronesia",
"Niue",
"Tuvalu",
"PNG",
"Fiji",
]
Year_List = ["2020","2019", "2018", "2017"]
def generate_select_country_drpdwn():
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Label("Select Country"),
dbc.Select(
id="select-country",
options=[{"label": i, "value": i} for i in Country_List],
value="New Caledonia",
style={"width": "15%", "margin-left": "15px"},
),
dbc.Label("Select Year", style={"margin-left": "15px"}),
dbc.Select(
id="select-year",
options=[{"label": i, "value": i} for i in Year_List],
value=Year_List[0],
style={"width": "15%", "margin-left": "15px"},
),
],
inline=True,
style={"marginLeft": 35, "marginTop": 25, "fontSize": 20},
)
return farm_drpdwn_dbc
def select_sankey_flows():
df = pd.read_csv("Data/Sankey/csv/{}/{}.csv".format(2019, "PNG"))
from_ = df[" (from)"].tolist()
from_ = list(set(from_))
to = df[" (to)"].tolist()
flow_list = []
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Label("From"),
dbc.Select(
id="select-from",
options=[{"label": i, "value": i} for i in from_],
value=from_[0],
style={"width": "20%", "margin-left": "15px"},
),
dbc.Label("to", style={"margin-left": "15px"}),
dbc.Select(id="select-to", style={"width": "20%", "margin-left": "15px"}),
html.Div(
[
dbc.RadioItems(
id="radio-normalization-sankey",
options=[
{"label": "Real values", "value": 1},
{"label": "Normalize with destination", "value": " (to)"},
{"label": "Normalize with origin", "value": " (from)"},
],
value=1,
inline=True,
style={"fontSize": 14},
)
]
),
dbc.Button(
"Add Figure",
color="danger",
id="update-button-cross-country-figure",
n_clicks=0,
className="me-1",
),
dbc.Button(
"Clear Canvas",
color="primary",
id="update-button-sankey-clear-canvas",
n_clicks=0,
className="me-1",
),
dcc.Checklist(
['Export data'],
inline=True,
id="export-df-sankey-cross-country"
)
],
inline=True,
style={"marginLeft": 35, "marginTop": 25, "fontSize": 25},
)
return farm_drpdwn_dbc
def generate_single_year_drpdwn():
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Label("Select year"),
dbc.Select(
id="select-year",
options=[{"label": i, "value": i} for i in Year_List],
value=Year_List[0],
style={"width": "15%", "margin-left": "15px"},
),
],
inline=True,
style={"marginLeft": 35, "marginTop": 25, "fontSize": 25},
)
return farm_drpdwn_dbc
figure_border_style = {
"border-style": "solid",
"border-color": "#ff4d4d",
"border-width": "1px",
"border-radius": "0.25rem",
}
Sankey = [
dbc.CardHeader(html.H5("Sankey diagram for energy flows of individual countries")),
dbc.CardBody(
[
dcc.Loading(
id="loading-sankey",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-sankey",
color="warning",
style={"display": "none"},
),
generate_select_country_drpdwn(),
html.Br(),
html.Div(dcc.Graph(id="Sankey_figure"), style=figure_border_style),
html.Br(),
html.Div(
dcc.Graph(id="Sankey_elec_figure"), style=figure_border_style
),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
def select_flow():
import os
path = "Data/EnergyBalance"
files = os.listdir(path)
df = pd.read_csv("Data/EnergyBalance/{}/all_countries_df.csv".format(files[-1]))
input_from = [
"Imports",
"Primary production",
"Total energy supply",
"Final consumption",
"Transformation",
"Exports",
]
input_source = [
"Primary Coal and Peat",
"Coal and Peat Products",
"Primary Oil",
"Oil Products",
"Natural Gas",
"Biofuels and Waste",
"Nuclear",
"Electricity",
"Heat",
"Total Energy",
"All Coal",
"All Oil",
"memo: Of which Renewables",
]
consumer_list = df["Transactions(down)/Commodity(right)"].unique()
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Row(
[
dbc.Col(
[
dbc.Label(
"Energy supplied from", style={"margin-right": "5px",
"font-size":16}
)
],
md=1.5,
),
dbc.Col(
[
dcc.Dropdown(
id="select-flow-provider",
options=[{"label": i, "value": i} for i in input_from],
value=[input_from[0]],
style={
"width": "90%",
"margin-left": "0px",
"margin-right": "10px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
multi=True,
searchable=True,
clearable=False,
),
],
md=4,
),
dbc.Col(
[dbc.Label("In the form of", style={"margin-right": "5px",
"font-size":16})],
md=1.5,
),
dbc.Col(
[
dbc.Select(
id="select-flow-provider-source",
options=[
{"label": i, "value": i} for i in input_source
],
value="All Oil",
style={
"width": "80%",
"margin-left": "0px",
"margin-right": "10px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
),
],
md=4,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col([dbc.Label("To",style={"font-size":16})], md=0.5),
dbc.Col(
[
dcc.Dropdown(
id="select-flow-cunsumer",
options=[
{"label": i, "value": i} for i in consumer_list
],
value=[
"International marine bunkers",
"International aviation bunkers",
],
style={
"width": "100%",
"margin-left": "0px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
multi=True,
searchable=True,
clearable=False,
)
],
md=6,
),
dbc.Col([dbc.Label("in the form of",style={"font-size":16})], md=1.5),
dbc.Col(
[
dbc.Select(
id="destination-carrier",
options=[
{"label": i, "value": i} for i in input_source
],
value="All Oil",
style={
"width": "80%",
"margin-left": "0px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
)
],
md=4,
),
]
),
html.Br(),
dbc.Input(
placeholder="Y axis title",
id="y_axis_title",
className="mb-3",
style={
"width": "40%",
},
),
dbc.Button(
"Add Figure",
color="danger",
id="update-button-cross-country-flow",
n_clicks=0,
className="me-1",
),
dbc.Button(
"Clear Canvas",
color="primary",
id="update-button-flow-clear",
n_clicks=0,
className="me-1",
),
],
inline=True,
style={"marginLeft": 35, "marginTop": 25, "fontSize": 25},
)
return farm_drpdwn_dbc
def select_row_breakdown_details():
path = "Data/EnergyBalance"
files = os.listdir(path)
df = pd.read_csv("Data/EnergyBalance/{}/all_countries_df.csv".format(files[-1]))
row_list = df["Transactions(down)/Commodity(right)"].unique()
dbc.Label("Select s sector", style={"margin-right": "5px"}),
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Label("Select a row "),
html.Br(),
dbc.Select(
id="select-row-for-breakdown",
options=[{"label": i, "value": i} for i in row_list],
value="Primary production",
style={
"width": "30%",
"margin-left": "0px",
"margin-right": "10px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
),
html.Br(),
dbc.Button(
"Add Figure",
color="danger",
id="update-button-sector-breakdown",
n_clicks=0,
className="me-1",
),
dbc.Button(
"Clear Canvas",
color="primary",
id="update-button-sector-breakdown-clear",
n_clicks=0,
className="me-1",
),
]
)
return farm_drpdwn_dbc
def dynamic_column_components():
path = "Data/EnergyBalance"
files = os.listdir(path)
df = pd.read_csv("Data/EnergyBalance/{}/all_countries_df.csv".format(files[-1]))
provider_list = df["Transactions(down)/Commodity(right)"].unique()
dbc.Label("Select s column", style={"margin-right": "5px"}),
columns = df.iloc[:, 3:-1]
farm_drpdwn_dbc = dbc.FormGroup(
[
dbc.Label("Select rows "),
dcc.Dropdown(
id="select-rows-for-column-comparison",
options=[{"label": i, "value": i} for i in provider_list],
value=["Primary production"],
style={
"width": "60%",
"margin-left": "0px",
"margin-right": "10px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
# style={"width": '60%'},
multi=True,
searchable=True,
clearable=False,
),
dbc.Label("Select a column"),
html.Br(),
dbc.Select(
id="select-dynamic-column",
options=[{"label": i, "value": i} for i in columns],
value="Electricity",
style={
"width": "30%",
"margin-left": "0px",
"margin-right": "10px",
"fontColor": "black",
"fontSize": 15,
"color": "black",
},
),
html.Br(),
dbc.Label("Write the label for y axis"),
html.Br(),
dbc.Input(
placeholder="Y axis title",
id="y_axis_title_dynamic_column",
className="mb-3",
style={
"width": "30%",
},
),
html.Br(),
dbc.Button(
"Add Figure",
color="danger",
id="update-button-dynamic-column",
n_clicks=0,
className="me-1",
),
dbc.Button(
"Clear Canvas",
color="primary",
id="update-button-dynamic-column-clear",
n_clicks=0,
className="me-1",
),
]
)
return farm_drpdwn_dbc
Tracing_energy_flows = [
dbc.CardHeader(
html.H5(
"Cross-country comparison of % one row to other rows (e.g., % of imported oil products consumed for international transit)"
)
),
dbc.CardBody(
[
dcc.Loading(
id="loading-sankey",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-sankey",
color="warning",
style={"display": "none"},
),
select_flow(),
html.Br(),
# html.Div(dcc.Graph(id="cross_country_sankey_figure"),style=figure_border_style),
html.Div(
id="Hidden_Div_breakdown",
children=[0, 0],
style={"display": "none"},
),
html.Div(
id="dynamic_callback_container_energy_breakdown",
children=[],
style={
"margin-top": "15px",
"margin-left": "20px",
"margin-right": "20px",
},
),
html.Br(),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
breakdown_of_source_in_a_sector = [
dbc.CardHeader(
html.H5(
"Breakdown of rows by energy sources in all countries (e.g., % final consumption from different energy sources)"
)
),
dbc.CardBody(
[
dcc.Loading(
id="loading-sankey",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-sankey",
color="warning",
style={"display": "none"},
),
select_row_breakdown_details(),
html.Br(),
# html.Div(dcc.Graph(id="cross_country_sankey_figure"),style=figure_border_style),
html.Div(
id="Hidden_Div_breakdown_by_source",
children=[0, 0],
style={"display": "none"},
),
html.Div(
id="dynamic_callback_container_energy_breakdown_by_source",
children=[],
style={
"margin-top": "15px",
"margin-left": "20px",
"margin-right": "20px",
},
),
html.Br(),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
dynamic_column_cross_country = [
dbc.CardHeader(
html.H5(
"Cross-country comparison of a column (i.e., Electricity primary production [TJ])"
)
),
dbc.CardBody(
[
dcc.Loading(
id="loading-sankey",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-sankey",
color="warning",
style={"display": "none"},
),
dynamic_column_components(),
html.Br(),
html.Div(
id="Hidden-Div_dynamic_column",
children=[0, 0],
style={"display": "none"},
),
html.Div(
id="dynamic_callback_container_dynamic_column",
children=[],
style={
"margin-top": "15px",
"margin-left": "20px",
"margin-right": "20px",
},
),
html.Br(),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
Cross_country_sankey = [
dbc.CardHeader(html.H5("Cross-country comparison of Sankey diagrams")),
dbc.CardBody(
[
dcc.Loading(
id="loading-sankey",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-sankey",
color="warning",
style={"display": "none"},
),
select_sankey_flows(),
html.Br(),
html.Div(
id="Hidden-Div_trend",
children=[0, 0],
style={"display": "none"},
),
html.Div(
id="dynamic_callback_container",
children=[],
style={
"margin-top": "15px",
"margin-left": "20px",
"margin-right": "20px",
},
),
html.Br(),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
style = {
"border": "solid",
"padding-top": "10px",
"align": "center",
"justify": "center",
"padding-left": "1px",
"padding-right": "1px",
}
BODY = dbc.Container(
[
dbc.Row(
[
dbc.Col(dbc.Card(Sankey)),
],
style={"marginTop": 30},
),
dbc.Row(
[
dbc.Col(dbc.Card(Tracing_energy_flows)),
],
style={"marginTop": 30},
),
dbc.Row(
[
dbc.Col(dbc.Card(breakdown_of_source_in_a_sector)),
],
style={"marginTop": 30},
),
dbc.Row(
[
dbc.Col(dbc.Card(dynamic_column_cross_country)),
],
style={"marginTop": 30},
),
dbc.Row(
[
dbc.Col(dbc.Card(Cross_country_sankey)),
],
style={"marginTop": 30},
),
],
fluid=True,
)
content = html.Div(id="page1", children=[BODY], style=CONTENT_STYLE)