<jupyter_start><jupyter_text>Index and selection<jupyter_code># Dictionary like

el_universal['title']
el_universal[['title','url']]
#Numpy like
el_universal.iloc[10:15] #Valores de la 10 a la 15
el_universal.iloc[13]['title'] #Devuelve el título del registro 13
el_universal.iloc[:6,0] #Primera columna de los primeros 6 registros
#Label based

el_universal.loc[: , 'body':'title']<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13349514563106796, 'fraction_numerical': 0.03640776699029126, 'mean_word_length': 8.604651162790697, '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': '410145', 'license': 'MIT', 'n_tokens_mistral': 170, 'n_tokens_neox': 153, 'n_words': 36, 'path': 'Notes/Ingenieria Datos/Indices_y_seleccion.ipynb', 'repo_name': 'je-castelan/Personal_Jupyter_Notes', 'size': '412'}