Question

我有一个要清理的csv文件。我正在尝试查看第一列，并删除第一列中该行除chars之外的任何行（我现在正在清理第一列具有^或。的行）。看来我所有的尝试都无能为力，或者核对了整个csv文件。

足够有趣的是，我有可以识别问题行的代码，而且看起来工作正常

def FindProblemRows():
    with open('Data.csv') as csvDataFile:
        ProblemRows = []
        csvReader = csv.reader(csvDataFile)
        data = [row for row in csv.reader(csvDataFile)]
        length = len(data)
        for i in range (0,length):
            if data[i][0].find('^')!=-1 or data[i][0].find('.')!=-1:
                ProblemRows.append(i)
    return (ProblemRows)

下面是我最近的三个失败尝试。我要去哪里错了，应该怎么改变？其中哪一个最接近？

'''
def Clean():
with open("Data.csv", "w", newline='') as f:
    data = list(csv.reader(f))
    writer = csv.writer(f)
    Problems = FindProblemRows()
    data = list(csv.reader(f))
    length = len(data)
    for row in data:
        for i in Problems:
            for j in range (0, length):
                if row[j] == i:
                    writer.writerow(row)
                    Problems.remove(i)






def Clean():
    Problems = FindProblemRows()
    with open('Data.csv') as csvDataFile:
        csvReader = csv.reader(csvDataFile)
        data = [row for row in csv.reader(csvDataFile)]
        length = len(data)
        width = len(data[0])
    with open("Data.csv","r") as csvFile:
        csvReader = csv.reader( csvFile )

    with open("CleansedData.csv","w") as csvResult:
        csvWrite = csv.writer( csvResult )
        for i in Problems:
            for j in range (0, length):
                if data[j] == i:
                    del data[j]
        for j in range (0, length):
            csvWrite.writerow(data[j])

      '''



def Clean():
     with open("Data.csv", 'r') as infile , open("CleansedData.csv", 'w') as outfile:
         data = [row for row in infile]
         for row in infile:
             for column in row:
                 if "^" not in data[row][0]:
                     if "." not in data[row][0]:
                         outfile.write(data[row])

更新

现在我有

def Clean():
    df = pd.read_csv('Data.csv')
    df =  df['^' not in df.Symbol]
    df =  df['.' not in df.Symbol]

但是我得到KeyError：True

那不行吗？

Answer 1

您应检查Symbol列是否包含任何感兴趣的字符。方法contains采用正则表达式：

bad_rows = df.Symbol.str.contains('[.^]')
df_clean = df[~bad_rows]

使用Python删除csv文件中包含某些字符的行

1 个答案: