How to Print Streamlit App Pages into a PDF file?

This simple example below I created with help of @MathCatsAnd. There are multiple dataframes in each page, and only one dataframe per page is shown in the example below for simplicity. I would like to be able to print each page (with multiple dataframes) to a pdf file in standard 11x8.5 paper size. I would want to be able to fit the 26 columns in the paper width-wise, and values length-wise to be printed in multiple pages as the next one being continuation of previous one. I don't know why streamlit is lacking on this basic thing.

import streamlit as st
import pandas as pd
import numpy as np

# Initialize session state with dataframes
# Include initialization of "edited" slots by copying originals
if 'df1' not in st.session_state:
    st.title("**:blue[Title123]**")
    Nvals = 200
    rows = ['a{}'.format(i) for i in range(1, Nvals+1)] # a1:a19
    values = np.arange(Nvals)
    st.session_state.df1 = pd.DataFrame({
        "rows/cols": rows, 
        'A': list(range(Nvals)), 'B': list(range(Nvals)), 'C': list(range(Nvals)), 'D': list(range(Nvals)), 'E': list(range(Nvals)),
        'F': list(range(Nvals)), 'G': list(range(Nvals)), 'H': list(range(Nvals)), 'I': list(range(Nvals)), 'J': list(range(Nvals)),
        'K': list(range(Nvals)), 'L': list(range(Nvals)), 'M': list(range(Nvals)), 'N': list(range(Nvals)), 'Q': list(range(Nvals)),
        'O': list(range(Nvals)), 'P': list(range(Nvals)), 'R': list(range(Nvals)), 'S': list(range(Nvals)), 'T': list(range(Nvals)),
        'U': list(range(Nvals)), 'V': list(range(Nvals)), 'W': list(range(Nvals)), 'X': list(range(Nvals)), 'Y': list(range(Nvals)), 'Z': list(range(Nvals)),
    })
    st.session_state.edited_df1 = st.session_state.df1.copy()
    #
    st.session_state.df2 = pd.DataFrame({
        "col1": ["b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "b10"], 
        "Values": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        "col2": ["b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "b10"], 
        "Values": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        "col3": ["b1", "b2", "b3", "b4", "b5", "b6", "b7", "b8", "b9", "b10"], 
        "Values": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
    })
    st.session_state.edited_df2 = st.session_state.df2.copy()

# Save edits by copying edited dataframes to "original" slots in session state
def on_change_callback_fcn():
    st.session_state.df1 = st.session_state.edited_df1 
    st.session_state.df2 = st.session_state.edited_df2

# Sidebar to select page and commit changes upon selection
page = st.sidebar.selectbox("Select: ", ("A","B"), on_change=on_change_callback_fcn, key='SelectedSelectboxVal') 
# Convenient shorthand notation used below in funct1 and funct2
def funct1():
    st.session_state.edited_df1 = st.data_editor(st.session_state.df1, num_rows="dynamic",height=10*len(st.session_state.edited_df1)) 

def funct2():
    st.session_state.edited_df2 = st.data_editor(st.session_state.df2, num_rows="dynamic")

if  page == "A":
    st.header("Page A")
    funct1()
elif page == "B":
    st.header("Page B")
    funct2()

print('\n ...................... \n Entire Code Ran \n ...................... \n')
print(len(st.session_state.edited_df1))

I couldn't find many materials online regarding this. Ctrl+P doesn't print properly. How can this be done?

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