<jupyter_start><jupyter_text>Notebook created: 2021-08-29 11:57:44  Generated from: source/01_comparison/includes/case.rst   The equivalent pandas methods are `Series.str.upper()`, `Series.str.lower()`, and`Series.str.title()`.<jupyter_code>firstlast = pd.DataFrame({"string": ["<NAME>", "<NAME>"]})
firstlast["upper"] = firstlast["string"].str.upper()
firstlast["lower"] = firstlast["string"].str.lower()
firstlast["title"] = firstlast["string"].str.title()
firstlast<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.20080321285140562, 'fraction_numerical': 0.0321285140562249, 'mean_word_length': 8.596153846153847, 'pattern_counts': {'":': 1, '<': 7, '<?xml version=': 0, '>': 7, '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': '611259', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 182, 'n_tokens_neox': 166, 'n_words': 25, 'path': '01_comparison/includes/case.ipynb', 'repo_name': 'olippuner/Pandas_Docu_as_Notebooks', 'size': '505'}