Typographycal fixes

app/excel_download.py

@@ -36,7 +36,7 @@ def prepare_and_download_df_as_excel(df: pd.DataFrame, filename: str):
     excel_stream = prepare_df_as_excel_stream(df)
 
     st.download_button(
-        label="Download Table as Excel",
+        label="Download table as Excel",
         data=excel_stream,
         file_name=f"{filename}.xlsx",
         help="Click to download this Table as Excel File.",

app/layout_elements.py

@@ -100,7 +100,7 @@ def display_footer():
         with c1:
             st.markdown(
                 """
-                ##### Developed by:
+                ##### Developed by
                 Öko-Institut<br/>
                 Merzhauser Straße 173<br/>
                 D-79100 Freiburg im Breisgau<br/>
@@ -111,7 +111,7 @@ def display_footer():
         with c2:
             st.markdown(
                 """
-                ##### On behalf of:
+                ##### On behalf of
                 Agora Energiewende<br/>
                 Anna-Louisa-Karsch-Str. 2<br/>
                 D-10178 Berlin<br/>
@@ -122,14 +122,14 @@ def display_footer():
         with c3:
             st.markdown(
                 """
-                ##### Authors:
-                - Christoph Heinemann
-                - Dr. Roman Mendelevitch
-                - Markus Haller
-                - Christian Winger
-                - Johannes Aschauer
-                - Susanne Krieger
-                - Katharina Göckeler
+                ##### Authors
+                Christoph Heinemann<br/>
+                Dr. Roman Mendelevitch<br/>
+                Markus Haller<br/>
+                Christian Winger<br/>
+                Johannes Aschauer<br/>
+                Susanne Krieger<br/>
+                Katharina Göckeler<br/>
                 """,
                 unsafe_allow_html=True,
             )

app/ptxboa_functions.py

@@ -654,12 +654,12 @@ def display_and_edit_input_data(
             st.info(
                 (
                     "You can edit data directly in the table. When done, click the "
-                    "**Apply Changes** button below to rerun calculations."
+                    "**Apply changes** button below to rerun calculations."
                 )
             )
 
             st.form_submit_button(
-                "Apply Changes",
+                "Apply changes",
                 type="primary",
                 on_click=register_user_changes,
                 kwargs={
@@ -774,10 +774,10 @@ def change_index_names(df: pd.DataFrame, mapping: dict | None = None) -> pd.Data
     if mapping is None:
         mapping = {
             "process_code": "Process",
-            "source_region_code": "Source Region",
-            "region": "Source Region",
+            "source_region_code": "Source region",
+            "region": "Source region",
             "scenario": "Scenario",
-            "res_gen": "RE Source",
+            "res_gen": "RE source",
             "chain": "Chain",
             "flow_code": "Carrier/Material",
         }

app/tab_certification_schemes.py

@@ -32,10 +32,6 @@ def _render_scheme_info(context_data, scheme_name):
             """
 **Explanations**
 
-- Info on "Geographical scope":
-  - This field provides an answer to the question: if you want to address a specific
- country of demand, which regulations and/or standards exist in this country
-   that require or allow proof of a specific product property?
 - Info on "Lifecycle scope":
   - Well-to-gate: GHG emissions are calculated up to production.
   - Well-to-wheel: GHG emissions are calculated up to the time of use.

app/tab_country_fact_sheets.py

@@ -30,21 +30,21 @@ def _create_fact_sheet_demand_country(context_data: dict):
     with st.expander("**Demand**"):
         c1, c2, c3 = st.columns(3)
         with c1:
-            st.markdown("**Projected H2 demand in 2030:**")
+            st.markdown("**Projected H2 demand in 2030**")
             if data["h2_demand_2030"] in ["", "-", "n/a"]:
                 st.markdown("no data")
             else:
                 st.markdown(data["h2_demand_2030"])
                 st.markdown(f"*Source: {data['source_h2_demand_2030']}*")
         with c2:
-            st.markdown("**Targeted sectors (main):**")
+            st.markdown("**Targeted sectors (main)**")
             if data["demand_targeted_sectors_main"] in ["", "-", "n/a"]:
                 st.markdown("no data")
             else:
                 st.markdown(data["demand_targeted_sectors_main"])
                 st.markdown(f"*Source: {data['source_targeted_sectors_main']}*")
         with c3:
-            st.markdown("**Targeted sectors (secondary):**")
+            st.markdown("**Targeted sectors (secondary)**")
             if data["demand_targeted_sectors_secondary"] in [
                 "",
                 "-",
@@ -57,22 +57,22 @@ def _create_fact_sheet_demand_country(context_data: dict):
                 st.markdown(f"*Source: {data['source_targeted_sectors_secondary']}*")
 
     with st.expander("**Hydrogen strategy**"):
-        st.markdown("**Documents:**")
+        st.markdown("**Documents**")
         st.markdown(data["h2_strategy_documents"])
 
-        st.markdown("**Authorities:**")
+        st.markdown("**Authorities**")
         st.markdown(data["h2_strategy_authorities"])
 
     with st.expander("**Hydrogen trade characteristics**"):
         st.markdown(data["h2_trade_characteristics"])
         st.markdown(f"*Source: {data['source_h2_trade_characteristics']}*")
 
     with st.expander("**Infrastructure**"):
-        st.markdown("**LNG import terminals:**")
+        st.markdown("**LNG import terminals**")
         st.markdown(data["lng_import_terminals"])
         st.markdown(f"*Source: {data['source_lng_import_terminals']}*")
 
-        st.markdown("**H2 pipeline projects:**")
+        st.markdown("**H2 pipeline projects**")
         st.markdown(data["h2_pipeline_projects"])
         st.markdown(f"*Source: {data['source_h2_pipeline_projects']}*")
 
@@ -124,15 +124,15 @@ def _create_fact_sheet_supply_country(context_data: dict, api: PtxboaAPI):
         )
         st.markdown(text)
 
-    with st.expander("**Carbon Capture & Storage (CCS) Potentials**"):
+    with st.expander("**Carbon Capture & Storage (CCS) potentials**"):
         value = data["ccs_pot"]
         source = data["source_ccs1"]
         if value == "n/a":
             st.markdown("no data")
         else:
             st.markdown(f"**{value}**\n\n*Source: {source}*")
 
-    with st.expander("**Electricity Prices**"):
+    with st.expander("**Electricity prices**"):
         value = data["elec_prices_IEA2020"]
         source = data["source_elec_prices"]
         if value == "n/a":

app/tab_dashboard.py

@@ -33,13 +33,13 @@ def content_dashboard(
         title_string = (
             f"{cost_component} cost of exporting "
             f"{st.session_state['chain']} to "
-            f"{st.session_state['country']}:"
+            f"{st.session_state['country']}"
         )
         st.subheader(title_string)
         c_1, c_2 = st.columns([2, 1])
 
         with c_1:
-            st.markdown("##### Costs by supply country:")
+            st.markdown("##### Costs by supply country")
             fig_map = plot_costs_on_map(
                 api, costs_per_region, scope="world", cost_component=cost_component
             )
@@ -50,7 +50,7 @@ def content_dashboard(
             st.plotly_chart(fig_map, use_container_width=True)
 
         with c_2:
-            st.markdown("##### Cost distribution and details:")
+            st.markdown("##### Cost distribution and details")
             # create box plot and bar plot:
             fig1 = create_box_plot(costs_per_region)
             filtered_data = costs_per_region[
@@ -86,30 +86,30 @@ def content_dashboard(
                 api, costs_per_region_without_user_changes, st.session_state["country"]
             ),
             "region",
-            "Costs by region:",
+            "Costs by region",
         )
 
     with st.container(border=True):
         display_costs(
             costs_per_scenario,
             costs_per_scenario_without_user_changes,
             "scenario",
-            "Costs by data scenario:",
+            "Costs by data scenario",
         )
 
     with st.container(border=True):
         display_costs(
             costs_per_res_gen,
             costs_per_res_gen_without_user_changes,
             "res_gen",
-            "Costs by renewable electricity source:",
+            "Costs by renewable electricity source",
         )
 
     with st.container(border=True):
         display_costs(
             costs_per_chain,
             costs_per_chain_without_user_changes,
             "chain",
-            "Costs by supply chain:",
+            "Costs by supply chain",
             output_unit="USD/MWh",
         )

app/tab_deep_dive_countries.py

@@ -65,7 +65,7 @@ def content_deep_dive_countries(
         with c_0_0:
             st.markdown("**Map**")
             map_parameter = st.selectbox(
-                "Show Parameter on Map",
+                "Show parameter on map",
                 [
                     "Wind Onshore",
                     "Wind Offshore",
@@ -91,7 +91,7 @@ def content_deep_dive_countries(
             )
 
         with c_0_1:
-            st.markdown("**Regional Distribution**")
+            st.markdown("**Regional distribution**")
         with c_1_1:
             fig = px.box(df)
             fig.update_layout(xaxis_title=None)

app/tab_input_data.py

@@ -40,7 +40,7 @@ def content_input_data(api: PtxboaAPI) -> None:
             st.markdown("**Map**")
             if data_selection in ["full load hours", "CAPEX"]:
                 map_parameter = st.selectbox(
-                    "Show Parameter on Map",
+                    "Show parameter on map",
                     [
                         "Wind Onshore",
                         "Wind Offshore",
@@ -68,7 +68,7 @@ def content_input_data(api: PtxboaAPI) -> None:
                 key=f"input_data_{data_selection}",
             )
         with c_0_1:
-            st.markdown("**Regional Distribution**")
+            st.markdown("**Regional distribution**")
         with c_1_1:
             # create plot:
             fig = px.box(df)

app/tab_literature.py

@@ -29,7 +29,7 @@ def content_literature(context_data: dict):
     markdown_text = ""
     for _ind, row in df.iterrows():
         if _is_valid_url(row["url"]):
-            text = f"- {row['long_name']}: [Link]({row['url']})\n"
+            text = f"- {row['long_name'].strip('.')} ([Link]({row['url']}))\n"
         else:
             text = f"- {row['long_name']}\n"
         markdown_text = markdown_text + text