Python 熊猫系列消除重复问题
我有一个重复的系列,我正试图摆脱Python 熊猫系列消除重复问题,python,pandas,series,Python,Pandas,Series,我有一个重复的系列,我正试图摆脱 0 RWAY001 1 RWAY001 2 RWAY002 3 RWAY002 ... 112 RWAY057 113 RWAY057 114 RWAY058 115 RWAY058 Length: 116 Drop.duplicates()似乎将长度减少到了58,但索引似乎仍然从0变为116,只是跳过了重复项: 0 RWAY001 2 RWAY002 ... 112 RWAY0
0 RWAY001
1 RWAY001
2 RWAY002
3 RWAY002
...
112 RWAY057
113 RWAY057
114 RWAY058
115 RWAY058
Length: 116
Drop.duplicates()似乎将长度减少到了58,但索引似乎仍然从0变为116,只是跳过了重复项:
0 RWAY001
2 RWAY002
...
112 RWAY057
114 RWAY058
Length: 58
因此,中间的行似乎仍然存在,且具有NaN值。我尝试了dropna(),但它对数据没有任何影响
这是我的代码:
df = pd.read_csv(path + flnm)
fields = df.file
fields = fields.drop_duplicates()
print fields
非常感谢您的帮助。谢谢。我想您需要参数drop=True
:
fields.reset_index(inplace=True, drop=True)
或:
样本:
import pandas as pd
df = pd.DataFrame({'file': {0: 'RWAY001', 1: 'RWAY001', 2: 'RWAY002', 3: 'RWAY002', 115: 'RWAY058', 113: 'RWAY057', 112: 'RWAY057', 114: 'RWAY058'}})
print (df)
file
0 RWAY001
1 RWAY001
2 RWAY002
3 RWAY002
112 RWAY057
113 RWAY057
114 RWAY058
115 RWAY058
print (df.file.drop_duplicates())
0 RWAY001
2 RWAY002
112 RWAY057
114 RWAY058
Name: file, dtype: object
print (df.file.drop_duplicates().reset_index(drop=True))
0 RWAY001
1 RWAY002
2 RWAY057
3 RWAY058
Name: file, dtype: object
import pandas as pd
df = pd.DataFrame({'file': {0: 'RWAY001', 1: 'RWAY001', 2: 'RWAY002', 3: 'RWAY002', 115: 'RWAY058', 113: 'RWAY057', 112: 'RWAY057', 114: 'RWAY058'}})
print (df)
file
0 RWAY001
1 RWAY001
2 RWAY002
3 RWAY002
112 RWAY057
113 RWAY057
114 RWAY058
115 RWAY058
print (df.file.drop_duplicates())
0 RWAY001
2 RWAY002
112 RWAY057
114 RWAY058
Name: file, dtype: object
print (df.file.drop_duplicates().reset_index(drop=True))
0 RWAY001
1 RWAY002
2 RWAY057
3 RWAY058
Name: file, dtype: object