Negombo Badu Number Top May 2026

A trustworthy seller will have an "Open Bale" (demo bale). Ask to pull out 10 random "Tops."

Never pay the first price. If they ask LKR 25,000 for a Number 1 Top bale, counter with LKR 18,000. Typically, the deal closes at LKR 20,000-22,000.

# Example: cap outliers in top_number at 99th percentile
cap = df['top_number'].quantile(0.99)
df['top_number_capped'] = np.where(df['top_number'] > cap, cap, df['top_number'])

from sklearn.preprocessing import TargetEncoder
Please clarify if it refers to:
| Possibility | Deep Feature Suggestion |
|-------------|--------------------------|
| Fishing boat registry in Negombo with "Badu" as owner & "Top number" = catch rank | Rolling average of rank per boat, boat density per Negombo canal zone |
| A local competition (e.g., "Badu" = team, "Number Top" = score) | Team strength embedding via matrix factorization |
| A survey plot number (e.g., Grama Niladhari division) | Spatial features: distance to Negombo town, land use type encoded |
| A typo: "Negombo Badu Namba Top" (Sinhala: නෙගොම්බෝ බඩු නම්බර් ටොප්) meaning "Negombo goods number top" | Frequency encoding of "goods category", price rank percentile |

df['month'] = df['date'].dt.month
df['day_of_week'] = df['date'].dt.dayofweek
# Lag feature
df['top_number_lag1'] = df.groupby('badu_id')['top_number'].shift(1)

df = pd.get_dummies(df, columns=['badu_type'], prefix='badu')
 negombo badu number top

The "Badu" market evolves. You cannot just buy any top anymore. Here is what is selling as "Top Number" right now: A trustworthy seller will have an "Open Bale" (demo bale)

Insider Tip: Ask for "Top Number Euro Badu" (European bales). Europeans wear softer fabrics and discard clothes faster than US bales, meaning higher "Top Number" frequency.