我有一個資料框如下：（e，g）
import pandas as pd
df = pd.DataFrame({'text':['Lary Page is visiting on Saturday',' On Monday his boss, Maria Jackson is here .']})
對于每次出現的日子，我想用假庫中的隨機日期替換以下串列中收集的一周中的幾天。我做了以下作業：
from faker import Faker
import numpy as np
fake = Faker()
days_list = ['Saturday','Monday','Tuesday']
我嘗試了以下方法，但都回傳替換的日期而不是整個句子：
df.text = np.where(df.text.str.contains('|'.join(days_list)),
fake.day_of_week(), df.text)
或者
df.text.str.replace('|'.join(days_list), fake.day_of_week())
我想要的輸出：
print(df): (e,g)
'Lary Page is visiting on Tuesday'
'On Thursday his boss, Maria Jackson is here .'
uj5u.com熱心網友回復：
使用 lambda 函式替換回呼：
regex = '|'.join(days_list)
df['text'] = df.text.str.replace(regex, lambda x: fake.day_of_week(), regex=True)
print (df)
text
0 Lary Page is visiting on Tuesday
1 On Thursday his boss, Maria Jackson is here .
uj5u.com熱心網友回復：
from faker import Faker
import pandas as pd
df = pd.DataFrame({'text':['Lary Page is visiting on Saturday',' On Monday his boss, Maria Jackson is here .']})
fake = Faker()
days_list = ['Saturday','Monday','Tuesday']
df['text'] = df['text'].apply(lambda x: ' '.join(fake.day_of_week() if i in days_list else i for i in x.split()))
print(df)
輸出：
text
0 Lary Page is visiting on Tuesday
1 On Monday his boss, Maria Jackson is here .
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