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Summary.py
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Summary.py
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from dash import html
from dash import dcc
import dash_bootstrap_components as dbc
from app import app
import pandas as pd
from EnergyFlows import figure_border_style
from dash import dash_table
import figures
summary_df = pd.read_csv("Data/SummaryTable.csv")
table = dbc.Table.from_dataframe(
summary_df,
striped=True,
bordered=True,
hover=True,
style={"color": "red"},
responsive=True,
)
dataTable = dash_table.DataTable(
data=summary_df.to_dict("records"),
columns=[{"id": c, "name": c} for c in summary_df.columns],
style_cell={
"textAlign": "left",
"padding": "5px",
"backgroundColor": "rgb(50, 50, 50)",
"color": "white",
},
style_as_list_view=False,
style_header={
"backgroundColor": "rgb(30, 30, 30)",
"fontWeight": "bold",
"border": "1px solid grey",
"whiteSpace": "normal",
},
style_data={
"border": "1px solid grey",
"whiteSpace": "normal",
"height": "auto",
},
style_cell_conditional=[ # style_cell_c. refers to the whole table
{"if": {"column_id": "Country / Territory"}, "textAlign": "left"}
],
style_table={
"width": "100%",
"margin": "0 0 0 0px",
"padding": "0 0px",
"overflowX": "auto",
"overflowY": "auto",
},
fixed_columns={"headers": True, "data": 0}, # 'headers': True,
)
Transit = [
dbc.CardHeader(html.H5("Status of all countries")),
dbc.CardBody(
[
dcc.Loading(
id="loading-bigrams-transit",
children=[
dbc.Alert(
"Something's gone wrong! Give us a moment, but try loading this page again if problem persists.",
id="no-data-alert-transit_comp",
color="warning",
style={"display": "none"},
),
dbc.Row([dbc.Col(dataTable)]),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="generation_mix_GWh",
figure=figures.generation_mix_plot()[0],
),
style=figure_border_style,
),
lg=12,
md=12,
),
]
),
html.Br(),
dbc.Row([ dbc.Col(
html.Div(
dcc.Graph(
id="generation_mix_MW",
figure=figures.generation_mix_plot()[1],
),
style=figure_border_style,
),
lg=12,
md=12,
)]),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="final-demand",
figure=figures.UNstats_plots(2020)[4],
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="transit_figure1",
figure=figures.UNstats_plots(2020)[7],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="Oil-imports",
figure=figures.UNstats_plots(2020)[3],
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="imports-to-GDP",
figure=figures.imports_to_GDP(2020)[0],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="import-per-capita",
figure=figures.imports_to_GDP(2020)[1],
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="renewables-per-capita",
figure=figures.UNstats_plots(2020)[8],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="transit_figure3",
figure=figures.UNstats_plots(2020)[2],
),
style=figure_border_style,
),
lg=12,
md=12,
),
]
),
html.Br(),
dbc.Row([dbc.Col(
html.Div(
dcc.Graph(
id="transit_figure2",
figure=figures.UNstats_plots(2020)[1],
),
style=figure_border_style,
),
lg=12,
md=12,
),]),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="final-demand",
figure=figures.UNstats_plots(2020)[0],
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="total renewables",
figure=figures.UNstats_plots(2020)[5],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="final-vs-non-re-demand",
figure=figures.land_use_plot()[5],
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="demand-per-capita",
figure=figures.land_use_plot()[4],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="demand-per-capita-world",
figure=figures.per_capita_renewables(),
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="intensity-capita-world",
figure=figures.per_capita_intensity(),
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="dependance-on-imports",
figure=figures.dependance_on_imports(),
),
style=figure_border_style,
),
lg=6,
md=12,
),
dbc.Col(
html.Div(
dcc.Graph(
id="GDP-per-capita",
figure=figures.GDP_per_capita(),
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
dbc.Row(
[
dbc.Col(
html.Div(
dcc.Graph(
id="three-demand-scenarios",
figure=figures.land_use_plot()[6],
),
style=figure_border_style,
),
lg=6,
md=12,
),
]
),
html.Br(),
],
type="default",
)
],
style={"marginTop": 0, "marginBottom": 0},
),
]
BODY = dbc.Container(
[
dbc.Row(
[
dbc.Col(dbc.Card(Transit)),
],
style={
"marginTop": 30,
},
),
],
# className="mt-12",
fluid=True,
)
# content = [EnergyFlows.generate_single_year_drpdwn(),BODY]
content = [BODY]