pandas 使用均值填充缺失值列的小技巧分享

for column in list(df.columns[df.isnull().sum() > 0]):  mean_val = df[column].mean()  df[column].fillna(mean_val, inplace=True)# -------代码分解-------# 判断哪些列有缺失值，得到series对象df.isnull().sum() > 0# outputcontributors           Truecoordinates            Truecreated_at            Falsedisplay_text_range        Falseentities             Falseextended_entities         Truefavorite_count          Falsefavorited            Falsefull_text            Falsegeo                Trueid                Falseid_str              False...# 根据上一步结果，筛选需要填充的列df.columns[df.isnull().sum() > 0]# outputIndex(['contributors', 'coordinates', 'extended_entities', 'geo',    'in_reply_to_screen_name', 'in_reply_to_status_id',    'in_reply_to_status_id_str', 'in_reply_to_user_id',    'in_reply_to_user_id_str', 'place', 'possibly_sensitive',    'possibly_sensitive_appealable', 'quoted_status', 'quoted_status_id',    'quoted_status_id_str', 'retweeted_status'],   dtype='object')