SHELLAPANDIANGANHUNGING commited on
Commit
ef7d896
·
verified ·
1 Parent(s): c575d43

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -407,7 +407,7 @@ if 'temuan_kode_distrik' in df_local.columns:
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  col1, col2 = st.columns(2)
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  with col1:
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- st.markdown("<h5>Unit Pembangkit: Avg Monthly Finding/Person by Company</h5>", unsafe_allow_html=True)
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  if not avg_ratio_pg.empty:
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  color_discrete_map_pg = get_color_map(avg_ratio_pg['nama_perusahaan'])
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  fig_pg = px.pie(
@@ -425,7 +425,7 @@ if 'temuan_kode_distrik' in df_local.columns:
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  top_company_pg = avg_ratio_pg.loc[avg_ratio_pg['avg_monthly_ratio'].idxmax()]
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  low_company_pg = avg_ratio_pg.loc[avg_ratio_pg['avg_monthly_ratio'].idxmin()]
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- st.markdown("### Insight (PG)")
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  insight_text = (
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  f"<div class='ai-insight'>"
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  f"In PG Area, <strong>{top_company_pg['nama_perusahaan']}</strong> has the highest average finding-to-person ratio "
@@ -440,7 +440,7 @@ if 'temuan_kode_distrik' in df_local.columns:
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  st.warning("No data for PG area or all ratios are NaN.")
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  with col2:
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- st.markdown("<h5>Unit Maintenance: Avg Monthly Finding/Person by Company</h5>", unsafe_allow_html=True)
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  if not avg_ratio_um.empty:
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  color_discrete_map_um = get_color_map(avg_ratio_um['nama_perusahaan'])
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  fig_um = px.pie(
@@ -458,7 +458,7 @@ if 'temuan_kode_distrik' in df_local.columns:
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  top_company_um = avg_ratio_um.loc[avg_ratio_um['avg_monthly_ratio'].idxmax()]
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  low_company_um = avg_ratio_um.loc[avg_ratio_um['avg_monthly_ratio'].idxmin()]
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- st.markdown("### Insight (UM)")
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  insight_text = (
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  f"<div class='ai-insight'>"
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  f"In UM Area, <strong>{top_company_um['nama_perusahaan']}</strong> exhibits the highest average finding-to-person ratio "
 
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  col1, col2 = st.columns(2)
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  with col1:
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+ st.markdown("<h5>Unit Pembangkit: Avg Monthly Finding by Company</h5>", unsafe_allow_html=True)
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  if not avg_ratio_pg.empty:
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  color_discrete_map_pg = get_color_map(avg_ratio_pg['nama_perusahaan'])
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  fig_pg = px.pie(
 
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  top_company_pg = avg_ratio_pg.loc[avg_ratio_pg['avg_monthly_ratio'].idxmax()]
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  low_company_pg = avg_ratio_pg.loc[avg_ratio_pg['avg_monthly_ratio'].idxmin()]
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+ st.markdown("### Insight")
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  insight_text = (
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  f"<div class='ai-insight'>"
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  f"In PG Area, <strong>{top_company_pg['nama_perusahaan']}</strong> has the highest average finding-to-person ratio "
 
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  st.warning("No data for PG area or all ratios are NaN.")
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  with col2:
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+ st.markdown("<h5>Unit Maintenance: Avg Monthly Finding by Company</h5>", unsafe_allow_html=True)
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  if not avg_ratio_um.empty:
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  color_discrete_map_um = get_color_map(avg_ratio_um['nama_perusahaan'])
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  fig_um = px.pie(
 
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  top_company_um = avg_ratio_um.loc[avg_ratio_um['avg_monthly_ratio'].idxmax()]
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  low_company_um = avg_ratio_um.loc[avg_ratio_um['avg_monthly_ratio'].idxmin()]
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+ st.markdown("### Insight")
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  insight_text = (
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  f"<div class='ai-insight'>"
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  f"In UM Area, <strong>{top_company_um['nama_perusahaan']}</strong> exhibits the highest average finding-to-person ratio "