import py_shiny as ps
import matplotlib.pyplot as plt
import pandas as pd

def get_cpu_data():
    # Use psutil to get CPU data
    pass

def fake_get_cpu_data():
    # Fake version of psutil for Pyodide
    pass

def display_graph(data, colormap):
    # Display CPU data in a graphical format using matplotlib
    pass

def display_table(data, num_rows):
    # Display CPU data in a tabular format using pandas
    pass

def select_colormap():
    # Allow user to select the colormap for the graphs
    pass

def clear_history():
    # Clear the history of CPU usage data
    pass

def freeze_output():
    # Freeze the output
    pass

def set_num_samples():
    # Specify the number of samples per graph
    pass

def set_num_rows():
    # Specify the number of rows to display in the table
    pass

def hide_ticks(axis):
    # Function to hide ticks on a graph's axis
    pass

# Main code to create the CPU usage monitoring application
if __name__ == "__main__":
    if ps.is_pyodide():
        get_cpu_data = fake_get_cpu_data

    data = get_cpu_data()
    colormap = select_colormap()
    display_graph(data, colormap)
    display_table(data, set_num_rows())
    clear_history()
    freeze_output()
    set_num_samples()
    hide_ticks(plt.gca())