Splitting features and label for the perceptron data

perceptron-splitting-features-and-labels.py

train_data = pd.DataFrame(data = data, index=list(range(len(data))), columns=['X_1', 'X_2', 'label'])
# Don't forget to add a vector of 1s for the bias weight
train_data['bias'] = np.repeat(1.0, train_data.shape[0])
train_label = train_data.label
train_data = train_data[[each for each in train_data.columns if each != 'label']]
train_data.head()