one_hot_encodding.py

import numpy as np

# one-hot-encoding
categories = np.array(['shirt', 'dress', 'shoe'])
labels = ['shoe', 'shirt', 'shoe', 'shirt', 'dress', 'dress', 'dress']

ohe_labels = np.zeros([len(labels), len(categories)])

for m in range(len(labels)):
    # find the location of the label 
    j = np.where(categories == labels[m])
    # give 1 to that corresponding position
    ohe_labels[m, j] = 1

print(ohe_labels)