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import streamlit as st
import pandas as pd
def show_single_table(result_df):
if len(result_df) == 0:
st.write("No resuolts found!")
else:
result_df = result_df.reset_index(drop=True)
# Transformations
result_df["crs_3_code_list"] = result_df['crs_3_code'].str.split(";").apply(lambda x: x[:-1] if x else [])
result_df["crs_5_code_list"] = result_df['crs_5_code'].str.split(";").apply(lambda x: x[:-1] if x else [])
result_df["sdg_list"] = result_df['sgd_pred_code'].apply(lambda x: [x] if pd.notna(x) else [])
result_df["flag"] = result_df['country'].apply(lambda x: f"https://flagicons.lipis.dev/flags/4x3/{x[:2].lower()}.svg" if pd.notna(x) else "https://flagicons.lipis.dev/flags/4x3/xx.svg")
st.dataframe(
result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],
use_container_width = True,
height = 35 + 35 * len(result_df),
column_config={
"similarity": st.column_config.TextColumn(
"Similarity",
help="similarity to selected project",
disabled=True,
width="small"
),
"iati_id": st.column_config.TextColumn(
"IATI ID",
help="IATI Project ID",
disabled=True,
width="small"
),
"orga_abbreviation": st.column_config.TextColumn(
"Organization",
help="If description not in English, description in other language provided",
disabled=True,
width="small"
),
"client": st.column_config.TextColumn(
"Client",
help="Client organization of customer",
disabled=True,
width="small"
),
"title_main": st.column_config.TextColumn(
"Title",
help="If title not in English, title in other language provided",
disabled=True,
width="large"
),
"description_main": st.column_config.TextColumn(
"Description",
help="If description not in English, description in other language provided",
disabled=True,
width="large"
),
"country": st.column_config.TextColumn(
"Country",
help="Country of project",
disabled=True,
width="small"
),
"flag": st.column_config.ImageColumn(
"Flag",
help="country flag",
width="small"
),
"sdg_list": st.column_config.ListColumn(
"SDG Prediction",
help="Prediction of SDG's",
width="small"
),
"crs_3_code_list": st.column_config.ListColumn(
"CRS 3",
help="CRS 3 code given by organization",
width="small"
),
"crs_5_code_list": st.column_config.ListColumn(
"CRS 5",
help="CRS 5 code given by organization",
width="small"
),
},
hide_index=True,
)
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