Data value of a variable in each marker within subplots

I'm developing the following function: extract_name_value() that generates a step chart taking the values of a pandas DataFrame in Python, for now it works fine, but I want to add the values of the variable points_axisyvalue or values_list to it in each marker:

    import xml.etree.ElementTree as ET
    import pandas as pd
    import numpy as np
    from matplotlib import pyplot as plt
    
    file_xml = ET.parse('example.xml')
    rootXML = file_xml.getroot()
    
    def transfor_data_atri(rootXML):
        file_xml = ET.parse(rootXML)
        data_XML = [
            {"Name": signal.attrib["Name"],
             "Value": int(signal.attrib["Value"].split(' ')[0])
             } for signal in file_xml.findall(".//Signal")
        ]
        
        signals_df = pd.DataFrame(data_XML)
        extract_name_value(signals_df)

    # Function to extract the Name and Value attributes
    def extract_name_value(signals_df, rootXML):
        # print(signals_df)
        names_list = [name for name in signals_df['Name'].unique()]
        num_names_list = len(names_list)
        num_axisx = len(signals_df["Name"])
        ### Variable that contains the values that I want to paint in each point or coordinate of the graph
        points_axisyvalue = signals_df["Value"]
        print(points_axisyvalue)

        colors = ['b', 'g', 'r', 'c', 'm', 'y']

        # Creation Graphic
        fig, ax = plt.subplots(nrows=num_names_list, figsize=(20, 30), sharex=True)
        plt.suptitle(f'File XML: {rootXML}', fontsize=16, fontweight='bold', color='SteelBlue', position=(0.75, 0.95))
        plt.xticks(np.arange(0, num_axisx), color='SteelBlue', fontweight='bold')
        i = 1
        for pos, name in enumerate(names_list):
            # get data
            data = signals_df[signals_df["Name"] == name]["Value"]
            # get color
            j = random.randint(0, len(colors) - 1)
            # get plots by index = pos
            ax[pos].plot(data.index, data, drawstyle='steps-post', marker='o', color=colors[j], linewidth=3)
            ax[pos].set_ylabel(name, fontsize=8, fontweight='bold', color='SteelBlue', rotation=30, labelpad=35)
            ax[pos].yaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))
            ax[pos].yaxis.set_tick_params(labelsize=6)
            ax[pos].grid(alpha=0.4)
            i += 1
    plt.show()

I tried to use the following examples:Data value at each marker, Matplotlib scatter plot with different text at each data point or How to put individual tags for a matplotlib scatter plot?, which would be something like what I want; also I even tried using plt.annotate(), but the data of the values does not come out the way I want it, plus I think it would cover up the graph a lot and not appreciate well. Below I put the code in which I'm using plt.annotate():

    # Function to extract the Name and Value attributes
    def extract_name_value(signals_df, rootXML):
        # print(signals_df)
        names_list = [name for name in signals_df['Name'].unique()]
        num_names_list = len(names_list)
        num_axisx = len(signals_df["Name"])
        values_list = [value for pos, value in enumerate(signals_df["Value"])]
        print(values_list)
        points_axisy = signals_df["Value"]
        print(len(points_axisy))

        colors = ['b', 'g', 'r', 'c', 'm', 'y']
    
        # Creation Graphic
        fig, ax = plt.subplots(nrows=num_names_list, figsize=(20, 30), sharex=True)
        plt.suptitle(f'File XML: {rootXML}', fontsize=16,         fontweight='bold', color='SteelBlue', position=(0.75, 0.95))
        plt.xticks(np.arange(-1, num_axisx), color='SteelBlue', fontweight='bold')
        labels = ['value: {0}'.format(j) for j in values_list]
        print(labels)
        i = 1
        for pos, name in enumerate(names_list):
            # get data
            data = signals_df[signals_df["Name"] == name]["Value"]
            print(data)
            # get color
            j = random.randint(0, len(colors) - 1)
            # get plots by index = pos
            x = np.hstack([-1, data.index.values, len(signals_df) - 1])
            y = np.hstack([0, data.values, data.iloc[-1]])
            ax[pos].plot(x, y, drawstyle='steps-post', marker='o', color=colors[j], linewidth=3)
            ax[pos].set_ylabel(name, fontsize=8, fontweight='bold', color='SteelBlue', rotation=30, labelpad=35)
            ax[pos].yaxis.set_major_formatter(ticker.FormatStrFormatter('%0.1f'))
             ax[pos].yaxis.set_tick_params(labelsize=6)
             ax[pos].grid(alpha=0.4)
             i += 1

             for label, x, y in zip(labels, x, y):
             plt.annotate(label, xy=(x, y), xytext=(-20, 20), textcoords='offset points', ha='right', va='bottom', bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),
                    arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0'))

        plt.show()

What I get I show it right away, which are the annotations spliced and in different position:

But, What does my code need to show each value at each point?

I've also been trying to use the code from the Matplotlib reference and couldn't get it done: Marker Reference. The xml file can be taken from here: xml file Thank you very much in advance, any comment helps.

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