python提取包含特定字符串的行,如何选择在python中其列值之一包含特定字符串的行?...

how to select rows which one of its columns values contains specific string in python?

I have used the one mentioned here and got errors while I used sample data frame and it looks fine, I am suspicious about my own dataframe which I am reading from a file but still can't guess what the issue is :

df=pd.read_csv("location",encoding = "ISO-8859-1") # readCSV

df[df['DESCRIPTION'].str.contains('+')

errors:

File "C:\ProgramData\Anaconda3\lib\sre_parse.py", line 616, in _parse

source.tell() - here + len(this))

error: nothing to repeat

解决方案

+ is special regex char (match one or more repetitions), so need escape it:

df = pd.DataFrame({'DESCRIPTION': ['aa+','a','+']})

df = df[df['DESCRIPTION'].str.contains('\+')]

print(df)

DESCRIPTION

0 aa+

2 +

Or add parameter regex=False:

df[df['DESCRIPTION'].str.contains('+', regex=False)]

你可能感兴趣的:(python提取包含特定字符串的行,如何选择在python中其列值之一包含特定字符串的行?...)