<jupyter_start><jupyter_text>Contadores<jupyter_code>import pandas as pd
s = pd.Series(list('asdadeadesdasesda'))
s
s.unique()
s.value_counts()
dados = pd.read_csv('dados/aluguel.csv', sep=';')
dados.Tipo.unique()
dados.Tipo.value_counts()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16728624535315986, 'fraction_numerical': 0.0, 'mean_word_length': 9.384615384615385, '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': '454332', 'license': 'MIT', 'n_tokens_mistral': 119, 'n_tokens_neox': 117, 'n_words': 14, 'path': 'extras/Contadores.ipynb', 'repo_name': 'cleristonnovaes/Curso-Pandas', 'size': '269'}