<jupyter_start><jupyter_text>Summaries Supported summaries:* total* average* min* max* median<jupyter_code>PrettyPandas(df)
PrettyPandas(df).total()
PrettyPandas(df).average()
PrettyPandas(df).average(axis=1)
PrettyPandas(df).average(axis=None)
PrettyPandas(df).min().max()
PrettyPandas(df).summary(np.mean, "Average")<jupyter_output><empty_output><jupyter_text>Multiple Summaries<jupyter_code>PrettyPandas(df).multi_summary([np.mean, np.sum],
                               ['Average', 'Total'],
                               axis=0)<jupyter_output><empty_output><jupyter_text>Number Formatting<jupyter_code>PrettyPandas(df).as_percent()
PrettyPandas(df).as_money()
PrettyPandas(df).as_percent(precision=3)
PrettyPandas(df).as_money(currency=u"$", precision=3)
PrettyPandas(df).as_unit('cm', location='suffix')
PrettyPandas(df).as_percent(subset=['B'])
PrettyPandas(df).as_percent(subset=['B']).total()
PrettyPandas(df).as_percent(subset=['B']).total().highlight_max()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17, 'fraction_numerical': 0.004, 'mean_word_length': 7.780701754385965, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '497636', 'license': 'MIT', 'n_tokens_mistral': 399, 'n_tokens_neox': 371, 'n_words': 30, 'path': 'docs/PrettyPandas Demo.ipynb', 'repo_name': 'nnamon/PrettyPandas', 'size': '1000'}