joao.herculano/Ruptura_Projetada
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adição de coluna pendente

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João Herculano 2025-06-03 09:42:55 -03:00
parent 446f023425
commit 1e7bac3054
1 changed files with 3 additions and 1 deletions
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relatório_ruptura/ruptura projetada 23.05.py
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@ -48,6 +48,7 @@ SELECT
CASE WHEN promotions_description IS NULL THEN 'REGULAR' ELSE 'PROMOÇÃO' END AS tipo_promocao, CASE WHEN promotions_description IS NULL THEN 'REGULAR' ELSE 'PROMOÇÃO' END AS tipo_promocao,
COALESCE(stock_actual, 0) AS estoque, COALESCE(stock_actual, 0) AS estoque,
stock_intransit AS transito, stock_intransit AS transito,
pendingorder AS pendente,
nextcycleprojection AS pv_mar, nextcycleprojection AS pv_mar,
currentcyclesales AS venda_atual, currentcyclesales AS venda_atual,
CASE WHEN criticalitem_iscritical = 0 THEN 'REGULAR' ELSE 'CRITICO' END AS status_item CASE WHEN criticalitem_iscritical = 0 THEN 'REGULAR' ELSE 'CRITICO' END AS status_item
@ -126,6 +127,7 @@ colunas_ordenadas = [
'tipo_promocao', 'tipo_promocao',
'estoque', 'estoque',
'transito', 'transito',
'pendente',
'pv_mar', 'pv_mar',
'venda_atual', 'venda_atual',
'status_item', 'status_item',
@ -148,7 +150,7 @@ df3 = df3.groupby(['uf', 'canal','pdv'])['quantidade_ruptura'].sum().sort_values
with pd.ExcelWriter(excel_path, engine='openpyxl') as writer: with pd.ExcelWriter(excel_path, engine='openpyxl') as writer:
df2.to_excel(writer, sheet_name='Detalhado', index=False) df2.to_excel(writer, sheet_name='Detalhado', index=False)
df3.to_excel(writer, sheet_name='Resumo', index=False) df3.to_excel(writer, sheet_name='Resumo', index=False)
print(excel_path)
ruptura_total = df2['quantidade_ruptura'].sum() ruptura_total = df2['quantidade_ruptura'].sum()
ruptura_por_uf_pct = ( ruptura_por_uf_pct = (
df2.groupby('uf')['quantidade_ruptura'].sum() df2.groupby('uf')['quantidade_ruptura'].sum()