最好不要在原始列上操作，增加列

parties = {'Bachmann, Michelle': 'Republican',
           'Cain, Herman': 'Republican',
           'Gingrich, Newt': 'Republican',
           'Huntsman, Jon': 'Republican',
           'Johnson, Gary Earl': 'Republican',
           'McCotter, Thaddeus G': 'Republican',
           'Obama, Barack': 'Democrat',
           'Paul, Ron': 'Republican',
           'Pawlenty, Timothy': 'Republican',
           'Perry, Rick': 'Republican',
           "Roemer, Charles E. 'Buddy' III": 'Republican',
           'Romney, Mitt': 'Republican','Santorum, Rick': 'Republican'}

contb['party'] = contb['cand_nm'].map(parties)

下面是一個log日志字段說明，篇幅有限，提供兩行示例

將用戶行為類型給予不同的權(quán)重，拍腦袋設(shè)定的（也是經(jīng)驗的一部分，分享權(quán)重>收藏>評論>深度閱讀>隨意翻閱）

將文本 映射成數(shù)字的辦法

def action_type_transfer(x):
    if x == 'view':
        return 0.8
    elif x == 'deep_view':
        return 1
    elif x == 'comment':
        return 1.2
    elif x == 'collect':
        return 1.2
    elif x == 'share':
        return 1.5
    else:
        return 1
train['actiontype_weight'] = train['action_type'].apply(action_type_transfer) 

gender_map = {'F':0, 'M':1}
users['Gender'] = users['Gender'].map(gender_map)

以下兩個包是必不可少的

import time
import datetime
def timestamp_transfer(x):
    x = time.localtime(x)
    x = time.strftime("%Y-%m-%d %H:%M:%S", x)
    return x

train['date'] = train['action_time'].apply(timestamp_transfer)

all_news_info['date'] = pd.to_datetime(all_news_info['date']).dt.date
news_info['date'] = pd.to_datetime(news_info['date']).dt.date
news_info['sub_days'] = (datetime.date(2017, 2, 19) - news_info['date']).dt.days
all_news_info['sub_days'] = (datetime.date(2017, 2, 19) - all_news_info['date']).dt.days
train['sub_days'] = (datetime.date(2017, 2, 19) - train['date']).dt.days