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from trase.tools.aws.aws_helpers import read_geojson

Description

The data below was downloaded from Ministério da Agricultura e Pecuária website and filtered for soy products.

  • Soja
  • Óleo de soja burto e demogago
  • Farelo de soja
  • Óleo de soja refinado
  • Proteína de soja
  • Lecitina de soja
PATH_INPUT = 'brazil/logistics/sicasq/out/SICASQ_2026.geojson'

PATH_SILOS = 'brazil/logistics/silos/silo_map_v3/silos_consolidated_capacity_brazil_2024_2.geojson'

Input Data

df_sicasq = read_geojson(key=PATH_INPUT, dtype={"cnpj": "string"})

df_silos = read_geojson(key=PATH_SILOS)

# Renaming sicasq geometry col
df_sicasq = df_sicasq.rename(columns={'geometry': 'geom'})
/Users/jailsonsoares/repos/TRASE/.venv/lib/python3.11/site-packages/pyogrio/raw.py:200: RuntimeWarning: driver GeoJSON does not support open option DTYPE
  return ogr_read(
print('Total records',
    df_sicasq.query('status == "Ativo"').shape[0]
)

print('Total records with coordinates',
    df_sicasq[
        (df_sicasq['latitude'].notna())
    ].shape[0]
)

print('Unique CNPJ',
    df_sicasq[['cnpj']].drop_duplicates().shape[0]
)
Total records 2186
Total records with coordinates 1825
Unique CNPJ 2186
print('Total records per destination')
df_sicasq.groupby('destination')[['company']].count()
Total records per destination
company
destination
BRAZIL 544
CHINA (MAINLAND) 1535
PANAMA 1
RUSSIAN FEDERATION 106
print('Total records per combined products')
df_sicasq.groupby('product')[['company']].count()
Total records per combined products
company
product
SOY LECITHIN, SOYBEAN CAKE, SOYBEAN OIL, SOYBEANS 1
SOY PROTEIN 1
SOY PROTEIN, SOYBEAN CAKE 4
SOY PROTEIN, SOYBEAN CAKE, SOYBEAN OIL 1
SOY PROTEIN, SOYBEAN CAKE, SOYBEAN OIL, SOYBEANS 14
SOY PROTEIN, SOYBEAN CAKE, SOYBEANS 23
SOY PROTEIN, SOYBEANS 2
SOYBEAN CAKE 18
SOYBEAN CAKE, SOYBEAN OIL 19
SOYBEAN CAKE, SOYBEAN OIL, SOYBEANS 126
SOYBEAN CAKE, SOYBEANS 130
SOYBEAN OIL 43
SOYBEAN OIL, SOYBEANS 13
SOYBEANS 1791