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import re
import pandas as pd
import dateutil.parser
def preprocess(data):
messages = []
dates = []
for line in data.splitlines(): # Assuming data is line-based
try:
date_obj = dateutil.parser.parse(line.split(',')[0]) # Assuming date is in first part
messages.append(line.split(',')[1]) # Assuming message is in second part
dates.append(date_obj) # Keep as datetime object
except (ValueError, IndexError):
pass # Handle parsing errors or missing data silently (optional)
df = pd.DataFrame({'user_message': messages, 'date': dates})
return df
users = []
messages = []
for message in df['user_message']:
entry = re.split('([\w\W]+?):\s', message)
if entry[1:]: # user name
users.append(entry[1])
messages.append(" ".join(entry[2:]))
else:
users.append('group_notification')
messages.append(entry[0])
df['user'] = users
df['message'] = messages
df.drop(columns=['user_message'], inplace=True)
df['only_date'] = df['date'].dt.date
df['year'] = df['date'].dt.year
df['month_num'] = df['date'].dt.month
df['month'] = df['date'].dt.month_name()
df['day'] = df['date'].dt.day
df['day_name'] = df['date'].dt.day_name()
df['hour'] = df['date'].dt.hour
df['minute'] = df['date'].dt.minute
period = []
for hour in df[['day_name', 'hour']]['hour']:
if hour == 23:
period.append(str(hour) + "-" + str('00'))
elif hour == 0:
period.append(str('00') + "-" + str(hour + 1))
else:
period.append(str(hour) + "-" + str(hour + 1))
df['period'] = period
return df |