<jupyter_start><jupyter_text>Só zoeira kkkkkk<jupyter_code>pd.Series([sum, print, len, tuple, list, dict, False, True])
seri1 = pd.Series([1,2,3,4], index=['Brasil', 'Chile', 'Bolivia', 'Argentina'])
seri1
seri2 = pd.Series(data=[1,2,3,4], index=['EUA', 'Europa', 'Brasil', 'Argentina'])
seri2
seri1 + seri2<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.21364985163204747, 'fraction_numerical': 0.04154302670623145, 'mean_word_length': 9.5625, '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': '362010', 'license': 'Apache-2.0', 'n_tokens_mistral': 159, 'n_tokens_neox': 158, 'n_words': 26, 'path': 'secao6 - Python para Analise de dados utizando Pandas/aula24_Series.ipynb', 'repo_name': 'IgoPereiraBarros/data-science-and-machine-learning', 'size': '337'}