Plot the distribution of two different array

plot_actuals_and_predictions.py

def PlotPredictedVSActual(predictions, actuals):
    figsize(20, 10)
    plt.rcParams['font.size'] = 14

    # histogram of predictions
    ax = plt.subplot(121)
    ax.hist(predictions,
            bins=10, 
            color = "#971539", 
            edgecolor = 'white')
    ax.set_xlabel("points", size=14)
    ax.set_xticks(range(80, 101))
    ax.set_ylabel("count", size=14)
    ax.set_title("Predicted Distribution", size=16)
    plt.grid(b=True, axis = 'y', alpha=0.3)

    # histogram of actual values
    ax2 = plt.subplot(122)
    ax2.hist(actuals,
             bins=20, 
             color = "#971539", 
             edgecolor = 'white')
    ax2.set_xlabel("points", size=14)
    ax2.set_xticks(range(80, 101))
    ax2.set_ylabel("count", size=14)
    ax2.set_title("Actual Distribution", size=16)
    plt.grid(b=True, axis = 'y', alpha=0.3)

    # plt.savefig("PredictionsVSActuals.png")