makeXy.py

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split

# make X and y
np.random.seed(0)
X = pd.DataFrame(np.random.normal(size = (20_000, len(feature_names))), columns = feature_names)
y = X2y(X, with_error = True)

# make X_trn, X_tst, y_trn, y_tst
X_trn, X_tst, y_trn, y_tst = train_test_split(X, y, test_size = .5, random_state = 0)