我有以下两个dataFrame：
DF_1
LEU,LEID,DUNS,BVD,LEO
'1','2','3','4','5'
'2','1','2','3','4'
'2','AA','','',''
'3','3','','',''
'4','4','','',''
DF_2
LEID
'1'
'2'
我想从DF_1中删除LEID列上与DF_2匹配的行。
我使用了这段代码，但是没有用：
import pandas as pd
import os
originalFile=os.path.abspath("D:\\python\\test\\OriginalFile.csv")
remove_leid=os.path.abspath("D:\\python\\test\\LEID.csv")
df = pd.read_csv(originalFile)
df_2=pd.read_csv(remove_leid)
df_concat = pd.concat([df, df_2])
df_concat.drop_duplicates(subset='LEID', keep=False)
df_concat.to_csv('D:\\python\\test\\CorrectedFile.csv')
print (df_concat)
预期的返回结果：
LEU,LEID,DUNS,BVD,LEO
'2','AA','','',''
'3','3','','',''
'4','4','','',''
我尝试过：
import pandas as pd
import os
originalFile=os.path.abspath("D:\\python\\test\\OriginalFile.csv")
remove_leid=os.path.abspath("D:\\python\\test\\LEID.csv")
df = pd.read_csv(originalFile)
remove_leid = ['1','2']
df[~df.LEID.isin(remove_leid)]
df.to_csv('D:\\python\\test\\CorrectedFile.csv')
print (df)
但是仍然无法正常工作。我一直都有：
LEU LEID DUNS BVD LEO
0 '1' '2' '3' '4' '5'
1 '2' '1' '2' '3' '4'
2 '2' 'AA' '' '' ''
3 '3' '' '' '' ''
4 '4' '' '' '' ''
我也尝试失败：
import pandas as pd
import os
originalFile=os.path.abspath("D:\\python\\test\\OriginalFile.csv")
remove_leid=os.path.abspath("D:\\python\\test\\LEID.csv")
df = pd.read_csv(originalFile, sep=',', quotechar="'")
df_2=pd.read_csv(remove_leid, sep=',', quotechar="'")
df[~df.LEID.isin(remove_leid)]
df = df[~df['LEID'].isin(df_2['LEID'])]
df.to_csv('D:\\python\\test\\CorrectedFile.csv')
print (df)