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99a6975
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Parent(s):
4c1602f
Upload app.py
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app.py
CHANGED
@@ -112,14 +112,12 @@ with col3:
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if i_idx in ['Fossil Hard coal', 'Fossil Oil','Fossil Gas']:
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c_fuel_i.loc[i_idx] = st.slider(value=int(c_fuel_i.loc[i_idx]), min_value=0, max_value=300, label=i_idx + ' Price' , step=10)
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#time_steps_aggregate = 6
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#= xr_profiles.rolling( time_step = time_steps_aggregate).mean().sel(time_step = time[0::time_steps_aggregate])
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price_co2 = 0
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with col3:
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technologies_no_invest = st.multiselect(label='Excluded technologies', options=i, default=['Electrolyzer','Biomass','RoR','Hydro Water Reservoir','Nuclear'])
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-
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#technologies_no_invest = st.multiselect(label='Technolgy invest', options=i)
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#technologies_no_invest = ['Electrolyzer','Biomass','RoR','Hydro Water Reservoir']
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# %%
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if i_idx in ['Fossil Hard coal', 'Fossil Oil','Fossil Gas']:
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c_fuel_i.loc[i_idx] = st.slider(value=int(c_fuel_i.loc[i_idx]), min_value=0, max_value=300, label=i_idx + ' Price' , step=10)
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technologies_no_invest = st.multiselect(label='Excluded technologies', options=i, default=['Electrolyzer','Biomass','RoR','Hydro Water Reservoir','Nuclear'])
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#time_steps_aggregate = 6
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#= xr_profiles.rolling( time_step = time_steps_aggregate).mean().sel(time_step = time[0::time_steps_aggregate])
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price_co2 = 0
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#technologies_no_invest = st.multiselect(label='Technolgy invest', options=i)
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#technologies_no_invest = ['Electrolyzer','Biomass','RoR','Hydro Water Reservoir']
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# %%
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