Plot lines for unique label in col - Python

I'm trying to pass a function that plots various objects for each unique label. Using the df below, A-D are used to plot various objects. I then pass each unique value in label to the function.

I'm hoping to pass something more efficient that calling the function on each unique item in a list. Iterating through the list to produce a separate figure for each unique value in label. Using below, this should be 3 (X,Y,Z).

 import pandas as pd
 import matplotlib.pyplot as plt
 import numpy as np
 import random

def plot(dfs, label):

    fig, ax = plt.subplots()

    for l in label:

        df = dfs[dfs['label'] == l]

        x1 = df['A']
        y1 = df['B']

        x2 = df['C']
        y2 = df['D']

        plt.scatter(x1, y1, c = 'orange', marker = 'o', zorder = 3)
        plt.scatter(x2, y2, c = 'green', marker = 'o', zorder = 2)

        ax.plot([x1,x2],[y1,y2], color = 'k', linestyle = '-', linewidth = 1) 

    plt.show()  

np.random.seed(2020)
df = pd.DataFrame(np.random.randint(0,20,size=(20, 4)), columns=list('ABCD'))
labels = df['A'].apply(lambda x: random.choice(['X', 'Y', 'Z']) ) 
df['label'] = labels

unq_label = df['label'].unique()

figs = df.groupby('label').apply(plot,unq_label)

from Plot lines for unique label in col - Python