使用python中的pandas将关键字映射到数据帧列

时间:2017-10-11 11:21:12

标签: python pandas dataframe data-analysis

我有一个数据框,

DF,
Name    Stage   Description
Sri     1       Sri is one of the good singer in this two
        2       Thanks for reading
Ram     1       Ram is one of the good cricket player
ganesh  1       good driver

和一个清单,

my_list=["one","driver"]

I tried, names=df.loc[df["Description"].str.contains("|".join(my_list),na=False), 'Name']
除了keyvalue列之外,

实现了一切。

 output_DF.
Name    Stage   Description
Sri     1       Sri is one of the good singer in this two
Ram     1       Ram is one of the good cricket player

My desired output is,
desired_DF,
Name    Stage   Description                                 keyvalue
Sri     1       Sri is one of the good singer in this two    one
        2       Thanks for reading                           
Ram     1       Ram is one of the good cricket player        one
ganesh  1       good driver                                  driver

有人帮我生成keyvalue列

1 个答案:

答案 0 :(得分:2)

我认为您可以使用here之前的解决方案,然后使用extract

pat = "|".join(my_list)

df['keyvalue'] = df['Description'].str.extract("(" + pat + ')', expand=False).fillna('')
print (df)
     Name  Stage                                Description keyvalue
0     Sri      1  Sri is one of the good singer in this two      one
1     Sri      2                         Thanks for reading         
2     Ram      1      Ram is one of the good cricket player      one
3  ganesh      1                                good driver   driver

所有在一起:

print (df)
#     Name  Stage                                Description
#0     Sri      1  Sri is one of the good singer in this two
#1              2                         Thanks for reading
#2     Ram      1      Ram is one of the good cricket player
#3  ganesh      1                            good Driver one

my_list=["ONE","driver"]
df['Name'] = df['Name'].mask(df['Name'].str.strip() == '').ffill()

pat = "|".join(my_list).lower()

names=df.loc[df["Description"].str.lower().str.contains(pat,na=False), 'Name']

df = df[df['Name'].isin(names)]

df['keyvalue'] = (df['Description'].str.lower()
                                   .str.extract("(" + pat + ')', expand=False)
                                   .fillna(''))
print (df)
#     Name  Stage                                Description keyvalue
#0     Sri      1  Sri is one of the good singer in this two      one
#1     Sri      2                         Thanks for reading         
#2     Ram      1      Ram is one of the good cricket player      one
#3  ganesh      1                            good Driver one   driver