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我正在尝试过滤通过从各种 .csv 中提取行创建的数据框。例如，当我尝试这样做时df_data["GPS_COD_SINRUT"]，它会打印：

1           T307 E0 00R
2           T307 C0 00I
3           T307 C0 00R
4           T307 C0 00R
               ...     
2069747     T307 E0 00R
2069748     T307 C0 00I
2069749     T307 C0 00I
2069750     T307 C0 00I
2069751     T307 C0 00I
Name: GPS_COD_SINRUT, Length: 2069752, dtype: object

但是当我尝试做: 时df_data[df_data["GPS_COD_SINRUT"]=="T307 C0 00R"]，会打印一个空的数据框。我有另一个具有相同列但值不同的数据框，它运行良好。df_data 的其他列是数字，当我尝试过滤一个值时它工作正常。我试图str()在我正在搜索的值之前放置一个，并尝试将列转换为字符串值.astype(str)。我想也许是我提取数据时的代码，但我没有改变任何东西。代码是：

outfile = open('output2.csv', 'w')
outfile.write("Patente; GPS_COD_SINRUT; idx_user; Date; LAT; LON, x_UTM; y_UTM; dist_rute; dist_to_rute; velocity; idx_empresa; idx_expedition")
for filename in glob.glob('*.gps'):
  if filename == 'output2.csv': # Skip the file we're writing.
    continue
  with open(filename, 'r') as infile:
    count = 0 
    lineno = 0 
    for line in infile:
      lineno += 1
      if lineno == 1: # Skip the header line.
        continue
      fields = line.split(';')
      Patente = str(fields[0])
      GPS_COD_SINRUT= str(fields[1])
      idx_user = str(fields[2])
      Date = str(fields[3])
      LAT = float(fields[4])
      LON = float(fields[5])
      x_UTM = float(fields[6])
      y_UTM = float(fields[7])
      dist_rute = float(fields[8])
      dist_to_rute = float(fields[9])
      velocity = float(fields[10])
      idx_empresa = str(fields[11])
      idx_expedition = str(fields[12])
      if "307" in idx_user:
        outfile.write('%s; %s; %s; %s; %f; %f; %f; %f; %f; %f; %f; %s; %s' % (Patente, GPS_COD_SINRUT, idx_user, Date, LAT, LON, x_UTM, y_UTM, dist_rute, dist_to_rute, velocity, idx_empresa, idx_expedition))
        count += 1
    if count == 0: # Handle the case when no lines were found.
      outfile.write('NA ; NA ; NA ; NA ; NA ; NA ; NA ; NA ; NA ; NA ; NA ; NA; NA ; %s\n' % filename)
outfile.close()

我在 SO 中找到此代码作为问题的答案。我希望你能帮助我！

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