python - 读取数据时删除列包含某些字符串: python

Question

我正在读取目录中的 .txt 文件，并希望删除包含某些特定字符串的列。

for file in glob.iglob(files + '.txt', recursive=True):
    
    cols = list(pd.read_csv(file, nrows =1))
    
    df=pd.read_csv(file,header=0, skiprows=0, skipfooter=0, usecols =[i for i in cols if i.str.contains['TRIVIAL|EASY']==False])

当我这样做时，我会得到

df=pd.read_csv(file,header=0, skiprows=0, skipfooter=0, usecols =[i for i >in cols if i.str.contains['PASS']==True])

AttributeError: 'str' object has no attribute 'str'

我无法弄清楚哪一部分需要修复？

select columns based on columns names containing a specific string in pandas

drop column based on a string condition

AttributeError: 'str' object has no attribute 'str'

Drop multiple columns that end with certain string in Pandas

Answer 1

无需单独读取 header ，您就可以将可调用对象传递给usecols。检查'EASY'或'TRIVIAL'是否不在列名称中。

exclu = ['EASY', 'TRIVIAL']  # Any substring in this list excludes a column 
usecols = lambda x: not any(substr in x for substr in exclu)

df = pd.read_csv('test.csv', usecols=usecols)

print(df)
   HARD  MEDIUM
0     2       4
1     6       8
2     1       1

<小时/>

示例数据:test.csv

TRIVIAL,HARD,EASYfoo,MEDIUM
1,2,3,4
5,6,7,8
1,1,1,1