<jupyter_start><jupyter_text>Use Pandas `to_html` method to generate HTML tables from DataFrames<jupyter_code>import pandas as pd
df = pd.read_csv("Resources/cities.csv")
df.head(3)
html_table = df.to_html()
df.to_html('data.html')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12643678160919541, 'fraction_numerical': 0.0038314176245210726, 'mean_word_length': 8.357142857142858, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '115838', 'license': 'ADSL', 'n_tokens_mistral': 103, 'n_tokens_neox': 100, 'n_words': 19, 'path': 'WebVisualizations/pandas_table.ipynb', 'repo_name': 'masitamohamad/Web-Design-Challenge', 'size': '261'}