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import pandas as pd from pymystem3 import Mystem import datetime try: data = pd.read_csv('toxic_comments.csv') except: data = pd.read_csv('/datasets/toxic_comments.csv') data m = Mystem() corpus = data['text'].values.astype('U') def lemmatize(text): return "".join(m.lemmatize(text)) kol = 10 a=0 for i in corpus[:kol]: print() print(f"{datetime.datetime.now().strftime('%H:%M:%S.%f')[:-3]} - Лемматизированный текст {a+1}/{kol}: ") print(lemmatize(corpus[0])) a+=1 # Вывод # 12:30:26.760 - Лемматизированный текст 1/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:28.366 - Лемматизированный текст 2/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:30.084 - Лемматизированный текст 3/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:31.672 - Лемматизированный текст 4/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:33.349 - Лемматизированный текст 5/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:34.980 - Лемматизированный текст 6/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:36.634 - Лемматизированный текст 7/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:38.208 - Лемматизированный текст 8/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:39.882 - Лемматизированный текст 9/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 # 12:30:41.584 - Лемматизированный текст 10/10: # Explanation # Why the edits made under my username Hardcore Metallica Fan were reverted? They weren't vandalisms, just closure on some GAs after I voted at New York Dolls FAC. And please don't remove the template from the talk page since I'm retired now.89.205.38.27 kol = 10 a=0 for i in corpus[:kol]: print() print(f"{datetime.datetime.now().strftime('%H:%M:%S.%f')[:-3]} - Лемматизированный текст {a+1}/{kol}: ") a+=1 # Вывод # 12:31:34.197 - Лемматизированный текст 1/10: # 12:31:34.197 - Лемматизированный текст 2/10: # 12:31:34.197 - Лемматизированный текст 3/10: # 12:31:34.197 - Лемматизированный текст 4/10: # 12:31:34.197 - Лемматизированный текст 5/10: # 12:31:34.197 - Лемматизированный текст 6/10: # 12:31:34.197 - Лемматизированный текст 7/10: # 12:31:34.197 - Лемматизированный текст 8/10: # 12:31:34.197 - Лемматизированный текст 9/10: # 12:31:34.197 - Лемматизированный текст 10/10:
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