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merge the data processing python files
Merge the two files data_cleaning.py and preprocessor.py.
Consolidate the changes. Also if using substitution / regular expressions using DataFrames consider using lambda functions as it is considerably faster, especially for string functions / regex. See:
# Strip whitespace
import re
import pandas as pd
body = ["document1 file1", "document2 example222", "document3"]
df_body = pd.DataFrame(body, columns=['body_text'])
# substitute RE_WHITESPACE with any regular expression, where is of the format re.sub(**regular expression**, **substitute character**, **input string**)
RE_WHITESPACE = re.compile(r'[\s]{2,}')
df_body['body_text'] = df_body['body_text'].apply(lambda x: re.sub(RE_WHITESPACE, '', x))Recommend Projects
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