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Improve overall experience of the app
Merged in feature/tgi-slides (pull request PyPSA#55) Feature/tgi slides * Remove unused function * Improve overall experience in app * Improve import export display * Add page to compare production and consumption profiles * Add switch between production and consumption to profiles * Add more comments
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,112 @@ | ||
| from pathlib import Path | ||
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| import pandas as pd | ||
| import plotly.express as px | ||
| import streamlit as st | ||
| from st_common import PROFILES_AREA | ||
| from st_common import YEARS | ||
| from st_common import network_path | ||
| from st_common import scenario_dict | ||
| from st_common import st_page_config | ||
| from st_common import st_side_bar | ||
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| st_page_config(layout="wide") | ||
| scenario = st_side_bar() | ||
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| st.title("Consumption per carrier") | ||
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| st.markdown("The total energy consumption per year, country and subsector. This data is currently shown at system level (ENTSO-E area), Belgium (BE) and Flanders (FL) due to the very large quantity of data that needs to be handled for every country in the system.") | ||
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| @st.cache_data(show_spinner="Retrieving data ...") | ||
| def get_data(scenario, year, selected_area): | ||
| area = selected_area if selected_area != "ENTSO-E area" else '' | ||
| return ( | ||
| pd.read_csv( | ||
| Path(network_path, scenario_dict[scenario]["path"], | ||
| f"load_temporal_{area.lower()}_{year}.csv".replace('__', '_')), | ||
| header=[1, 2] | ||
| ) | ||
| .set_index(("carrier", "sector")) | ||
| ) | ||
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| col1, col2 = st.columns(2) | ||
| with col1: | ||
| selected_area = st.selectbox('Choose area :', PROFILES_AREA) | ||
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| dfx = [] | ||
| for y in YEARS: | ||
| dfi = get_data(scenario, y, selected_area) | ||
| dfi = ((dfi.sum() / 1e3 | ||
| * 8760 / len(dfi.axes[0])) | ||
| .to_frame(name=y)) | ||
| dfx.append(dfi) | ||
| dfx = pd.concat(dfx, axis=1).fillna(0).sort_values(by=y, ascending=False) | ||
| dfx.index.name = 'Annual consumption [TWh]' | ||
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| with col2: | ||
| carrier = st.selectbox('Choose your carrier:', dfx.index.unique(0).sort_values(), index=6) | ||
| dfx = dfx.loc[carrier] | ||
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| st.subheader(f"Annual {carrier} consumption per sector") | ||
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| total = (dfx.sum()) | ||
| dfx.loc['Total'] = total | ||
| dfx.index.name = "Annual consumption [TWh]" | ||
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| fig = px.bar( | ||
| dfx, | ||
| title=f"Consumption in {selected_area} for {carrier} [TWh]", | ||
| barmode="group", | ||
| text_auto=".2s" | ||
| ) | ||
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| fig.update_traces(hovertemplate="%{y:,.0f}") | ||
| fig.update_layout(hovermode="x unified") | ||
| fig.update_yaxes(title_text='Consumption [TWh]') | ||
| fig.update_xaxes(title_text='Sectors') | ||
| fig.update_layout(legend_title_text='Years') | ||
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| st.plotly_chart( | ||
| fig | ||
| , use_container_width=True | ||
| ) | ||
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| st.dataframe( | ||
| dfx | ||
| .style | ||
| .format(precision=2, thousands=",", decimal='.'), | ||
| use_container_width=True | ||
| ) | ||
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| st.divider() | ||
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| st.subheader(f"Consumption profiles per carrier") | ||
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| st.markdown( | ||
| "The load 3-hourly profiles for every carrier, year and subsector. You can zoom on these interactive graphs for specific time windows and you can also select/deselect various categories if you want.") | ||
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| year = st.selectbox('Choose the year:', YEARS) | ||
| data = get_data(scenario, year, selected_area) | ||
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| df = data[carrier] | ||
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| fig = px.area( | ||
| df, | ||
| title=f"System consumption profile for {carrier} [GW]", | ||
| ) | ||
| fig.update_traces(hovertemplate="%{y:,.0f}", | ||
| line=dict(width=0.1)) | ||
| fig.update_layout(legend_traceorder="reversed", | ||
| hovermode="x unified", | ||
| legend_title_text='Technologies') | ||
| fig.update_yaxes(title_text='Consumption [GW]') | ||
| fig.update_xaxes(title_text='Timesteps') | ||
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| st.plotly_chart( | ||
| fig | ||
| , use_container_width=True | ||
| ) |
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