How can I make it so y values do not cluster and the y values on y axis does not overlap?

2 issues, values in the y direction just cluster and not use the entire space of the subplot, no matter what, and then there is this black thing on y axis (sort of like y values but on top of one another), what is that? and how to fix these issues?

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import tkinter as tkfrom tkinter import ttkimport matplotlib.pyplot as pltfrom matplotlib.backends.backend_tkagg import FigureCanvasTkAggimport threadingimport queueimport timefrom data import *import random# Function to continuously update the plotdef update_plot():    while True:        try:            # Get the latest point from the queue            point = point_queue.get_nowait()            index = point[1]            pairs = point[0].return_pairs()            color_ = [ 'FF5733', '8B0000', '00FF00', '006400', '6495ED', '00008B']            color_used = color_[index]            ax[0,0].plot(pairs[0][0], pairs[0][1],'o-', color_used)  # Assuming point is a tuple (x, y)            ax[1,0].plot(pairs[1][0], pairs[1][1], 'o-', color_used)  # Assuming point is a tuple (x, y)            ax[0,1].plot(pairs[2][0], pairs[2][1], 'o-', color_used)  # Assuming point is a tuple (x, y)            ax[1,1].plot(pairs[3][0], pairs[3][1], 'o-', color_used)  # Assuming point is a tuple (x, y)            # find mins            ax[0, 0].set_xlim(800, 2100)  # Start from 950, let matplotlib automatically adjust the upper limit            ax[1, 0].set_xlim(800, 2100)  # Start from 950, let matplotlib automatically adjust the upper limit            ax[0, 1].set_xlim(800, 2100)  # Start from 950, let matplotlib automatically adjust the upper limit            ax[1, 1].set_xlim(800, 2100)  # Start from 950, let matplotlib automatically adjust the upper limit            canvas.draw()        except queue.Empty:            pass        time.sleep(0.02)def add_point_to_queue(x, *args):    point_queue.put((x, *args))# Set up the Tkinter GUIroot = tk.Tk()root.title("Live Plot with Tkinter and Matplotlib")# Create a Matplotlib figure and embed it in the Tkinter windowfig, ax = plt.subplots(2, 2)ax[0, 0].set_xlabel('Frequency, Hz')ax[0, 0].set_ylabel('Gain, dB')ax[0, 0].set_title('Gain')ax[0, 1].set_ylabel('Detector')ax[0, 1].set_xlabel('Frequency, Hz')ax[0, 1].set_title('DetectorEn')ax[1, 0].set_ylabel('Detector')ax[1, 0].set_xlabel('Frequency, Hz')ax[1, 0].set_title('DetectorDis')ax[1, 1].set_ylabel('Temperature, C')ax[1, 1].set_xlabel('Frequency, Hz')ax[1, 1].set_title('Temperature')plt.tight_layout()canvas = FigureCanvasTkAgg(fig, master=root)canvas_widget = canvas.get_tk_widget()canvas_widget.pack(side=tk.TOP, fill=tk.BOTH, expand=True)point_queue = queue.Queue()update_thread = threading.Thread(target=update_plot)update_thread.daemon = Trueupdate_thread.start()def add_random_point():    for frequency in range(950, 1951, 100):        for i in range(6):            gain = random.randint(0, 100)            temperature = random.randint(79, 85)            input_power = random.randint(-10, -1)            meter_output = random.random()            pout_det = random.randint(2000, 2500)            pout_det_dis = random.randint(2100, 2600)            curr_point = Point(freq=frequency, gain=gain, Temperature=temperature, input_power=input_power, pout=meter_output, pout_det=pout_det, pout_det_dis=pout_det_dis)            add_point_to_queue(curr_point, i)add_random_point()root.mainloop()

I tried yslim and autoajusting