How to save pd.read_html dataframes as html file?

I got the answer. If you got better decision, feel free to add it. HTML file with result looks ugly, but it's readable with pandas.

import pandas as pd
import numpy as np
import re
import codecs

# read file
folder = 'folder_path'
file = 'file_name.html'
html_df = pd.read_html(folder + '/' + file)

# check dataframes
# I need keep data from some dataframes

html_match = re.compile(r'_TOM$|_TOD$')
df_check = []
for i, df in enumerate(html_df):
    for col in df.columns:
        try:
            if len(df[df[col].str.contains(html_match) == True]) != 0:
                df_check.append(i)
            else:
                continue
        except AttributeError:
            continue

# clear all tables except dataframe with '_TOM$|_TOD$'
for i in range(len(html_df)):
    if i in df_check:
        continue
    else:
        html_df[i][html_df[i].columns[1:]] = ''


# make str to put all tables togever
html_all = str()
# pattern to clear string
pat = re.compile(r"[ ]{2,}")

# put all dataframes at one string
# to make html-code I used df.to_markdown.
html_all = str()
for i in range(len(html_df)):
    ner_str = str(html_df[i].to_markdown(tablefmt="html", index=False))
    ner_str = re.sub(pat, '''<br>
    ''', ner_str)
    html_all = '<br>'.join([html_all, ner_str])

# save result
# right encoding is very important
file1 = 'new_file.html'
with codecs.open(folder + '/' + file1, 'w', encoding='utf-8-sig') as f:
    f.write(html_all)
    f.close()