<jupyter_start><jupyter_text>Removendo moeda em feature<jupyter_code>import pandas as pd
df = pd.DataFrame({'Nome': ['Lucas', 'Pedro', 'Maria', 'Paulo', 'Eliana'],
                  'Salário': [3200.45, 'R$ 1550.00', 4200.80, 'R$1700.00', 4500.00]
                  })
df
df.info()
df['Salário'] = df['Salário'].replace('[R$,]', '', regex=True).astype('float')
df.info()
df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.22332506203473945, 'fraction_numerical': 0.07444168734491315, 'mean_word_length': 4.17948717948718, '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': '230067', 'license': 'MIT', 'n_tokens_mistral': 185, 'n_tokens_neox': 161, 'n_words': 28, 'path': 'tratamento/remover-moeda.ipynb', 'repo_name': 'silvioedu/MachineLearning-Practice', 'size': '403'}