| import streamlit as st | |
| def show_table(p1_df, p2_df): | |
| col1, col2 = st.columns([1, 1]) | |
| with col1: | |
| st.write("------------------") | |
| st.dataframe( | |
| p1_df[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code", "similarity"]], | |
| use_container_width = True, | |
| height = 35 + 35 * len(p1_df), | |
| column_config={ | |
| "iati_id": st.column_config.TextColumn( | |
| "IATI ID", | |
| help="IATI Project ID", | |
| disabled=True | |
| ), | |
| "orga_abbreviation": st.column_config.TextColumn( | |
| "Organization", | |
| help="If description not in English, description in other language provided", | |
| disabled=True | |
| ), | |
| "client": st.column_config.TextColumn( | |
| "Client", | |
| help="Client organization of customer", | |
| disabled=True | |
| ), | |
| "title_main": st.column_config.TextColumn( | |
| "Title", | |
| help="If title not in English, title in other language provided", | |
| disabled=True | |
| ), | |
| "description_main": st.column_config.TextColumn( | |
| "Description", | |
| help="If description not in English, description in other language provided", | |
| disabled=True | |
| ), | |
| "country": st.column_config.TextColumn( | |
| "Country", | |
| help="Country of project", | |
| disabled=True | |
| ), | |
| "sgd_pred_code": st.column_config.TextColumn( | |
| "SDG Prediction", | |
| help="Prediction of SDG's", | |
| disabled=True | |
| ), | |
| "crs_3_code": st.column_config.TextColumn( | |
| "CRS 3", | |
| help="CRS 3 code given by organization", | |
| disabled=True | |
| ), | |
| "crs_5_code": st.column_config.TextColumn( | |
| "CRS 5", | |
| help="CRS 5 code given by organization", | |
| disabled=True | |
| ), | |
| }, | |
| hide_index=True, | |
| ) | |
| with col2: | |
| st.write("------------------") | |
| st.dataframe( | |
| p2_df[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code", "similarity"]], | |
| use_container_width = True, | |
| height = 35 + 35 * len(p2_df), | |
| column_config={ | |
| "iati_id": st.column_config.TextColumn( | |
| "IATI ID", | |
| help="IATI Project ID", | |
| disabled=True | |
| ), | |
| "orga_abbreviation": st.column_config.TextColumn( | |
| "Organization", | |
| help="If description not in English, description in other language provided", | |
| disabled=True | |
| ), | |
| "client": st.column_config.TextColumn( | |
| "Client", | |
| help="Client organization of customer", | |
| disabled=True | |
| ), | |
| "title_main": st.column_config.TextColumn( | |
| "Title", | |
| help="If title not in English, title in other language provided", | |
| disabled=True | |
| ), | |
| "description_main": st.column_config.TextColumn( | |
| "Description", | |
| help="If description not in English, description in other language provided", | |
| disabled=True | |
| ), | |
| "country": st.column_config.TextColumn( | |
| "Country", | |
| help="Country of project", | |
| disabled=True | |
| ), | |
| "sgd_pred_code": st.column_config.TextColumn( | |
| "SDG Prediction", | |
| help="Prediction of SDG's", | |
| disabled=True | |
| ), | |
| "crs_3_code": st.column_config.TextColumn( | |
| "CRS 3", | |
| help="CRS 3 code given by organization", | |
| disabled=True | |
| ), | |
| "crs_5_code": st.column_config.TextColumn( | |
| "CRS 5", | |
| help="CRS 5 code given by organization", | |
| disabled=True | |
| ), | |
| }, | |
| hide_index=True, | |
| ) |