Why line fit is not drawn?

Question

I'm trying to plot a simple line fit using sklearn linear regression. Unfortunately, for some reason, the line fit itself is not drawn.

import numpy as np
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt

def main():
    #loading file
    arr = np.genfromtxt("data.csv", dtype=float, delimiter=";", names=True)

    #voltage
    X = np.array([[i[0] for i in arr]])
    print("Voltage")
    print(X)

    #left wheel
    LEFT_Y = np.array([[i[1] for i in arr]])
    print("Left wheel")
    print(LEFT_Y)

    #right wheel
    RIGHT_Y = np.array([[i[2] for i in arr]])
    print("Right wheel")
    print(RIGHT_Y)

    model = LinearRegression()
    model.fit(X, LEFT_Y)

    plt.scatter(X, LEFT_Y, color='blue')
    plt.plot(X, model.predict(X), color='red')
    plt.show()

if __name__ == "__main__":
    main()

Answer 1

My problem was in creating incorrect NumPy arrays. They have to be created this way:

X = np.array([i[0] for i in arr]) #no second braket

The same for other arrays.