String 数据帧中的字符串用python连接

我得到一个数据框，如下所示，它从csv文件读取

   COMPOUND  CELL_LINE         AUC
0  'ADAM17'     'A549'   97.228927
1  'ADAM17'    'BT-20'   75.409415
2  'ADAM17'   'BT-549'   66.641992
3  'ADAM17'  'CAL-120'   82.707886
4  'ADAM17'  'CAL-148'   59.822385
5  'ADAM17'   'CAL-51'   79.014796
6  'ADAM17'   'CAMA-1'   66.700791
7  'ADAM17'   'Calu-3'  302.225056
8  'ADAM17'   'Calu-6'   99.496544

其中I index

AUC.iloc[0,0]

。它给了我

'ADAM17'

我尝试测试

AUC.iloc[0,0]='ADAM17'

结果是

False

发生了什么事

第二个问题是如何读取csv文件并直接成为以下字符串而不使用单引号

  COMPOUND CELL_LINE         AUC
0   ADAM17      A549   97.228927
1   ADAM17     BT-20   75.409415
2   ADAM17    BT-549   66.641992
3   ADAM17   CAL-120   82.707886
4   ADAM17   CAL-148   59.822385
5   ADAM17    CAL-51   79.014796
6   ADAM17    CAMA-1   66.700791
7   ADAM17    Calu-3  302.225056
8   ADAM17    Calu-6   99.496544  

---

我认为您需要添加两个

”

，因为如果您只有一个

”

，它将被读取为

字符串，而不带
引号
：

import pandas as pd
import io

temp=u"""COMPOUND,CELL_LINE,AUC
'ADAM17','A549',97.228927
'ADAM17','BT-20',75.409415
'ADAM17','BT-549',66.641992
'ADAM17','CAL-120',82.707886
'ADAM17','CAL-148',59.822385
'ADAM17','CAL-51',79.014796
'ADAM17','CAMA-1',66.700791
'ADAM17','Calu-3',302.225056
'ADAM17','Calu-6',99.496544"""
#after testing replace io.StringIO(temp) to filename
AUC = pd.read_csv(io.StringIO(temp))

print AUC
   COMPOUND  CELL_LINE         AUC
0  'ADAM17'     'A549'   97.228927
1  'ADAM17'    'BT-20'   75.409415
2  'ADAM17'   'BT-549'   66.641992
3  'ADAM17'  'CAL-120'   82.707886
4  'ADAM17'  'CAL-148'   59.822385
5  'ADAM17'   'CAL-51'   79.014796
6  'ADAM17'   'CAMA-1'   66.700791
7  'ADAM17'   'Calu-3'  302.225056
8  'ADAM17'   'Calu-6'   99.496544

print AUC.iloc[0,0] == 'ADAM17'
False
print AUC.iloc[0,0] == "ADAM17"
False
print AUC.iloc[0,0] == "'ADAM17'"
True

您可以将参数
quotechar=“”
添加到以删除
'
：

在路上。在我的原始csv文件中。该字符串已包含单引号，我想在Dataframe中删除它。原始文件：复合单元线AUC“ADAM17”BT-20“84.86402756”ADAM17“BT-549”69.95587388“ADAM17”CAL-120“70.06211297”
import pandas as pd
import io

temp=u"""COMPOUND,CELL_LINE,AUC
'ADAM17','A549',97.228927
'ADAM17','BT-20',75.409415
'ADAM17','BT-549',66.641992
'ADAM17','CAL-120',82.707886
'ADAM17','CAL-148',59.822385
'ADAM17','CAL-51',79.014796
'ADAM17','CAMA-1',66.700791
'ADAM17','Calu-3',302.225056
'ADAM17','Calu-6',99.496544"""
#after testing replace io.StringIO(temp) to filename
df = pd.read_csv(io.StringIO(temp),  quotechar="'")
print df
  COMPOUND CELL_LINE         AUC
0   ADAM17      A549   97.228927
1   ADAM17     BT-20   75.409415
2   ADAM17    BT-549   66.641992
3   ADAM17   CAL-120   82.707886
4   ADAM17   CAL-148   59.822385
5   ADAM17    CAL-51   79.014796
6   ADAM17    CAMA-1   66.700791
7   ADAM17    Calu-3  302.225056
8   ADAM17    Calu-6   99.496544