pandas 转换成行列表进行读取与Nan处理的方法

# 1.导入包

import pandas as pd

# 2读入数据

readFile = pd.read_csv(\'输出路径\',encoding=\'gb2312\')

for record in readFile.values:

   print(record)

readFile = readFile.fillna(\'del_token\')
在for record in readFile.values后面加入一个while循环
    record = list(record)

while (\'del_token\' in record):

   record.remove(\'del_token\')
  print(record)
整个代码看起来就像这样子了：
# 1.导入包

import pandas as pd

# 2读入数据

readFile = pd.read_csv(\'输出路径\',encoding=\'gb2312\')

# 给Nan赋值

readFile = readFile.fillna(\'del_token\')
for record in readFile.values:

# 转换列表删除Nan

while (\'del_token\' in record):

   record.remove(\'del_token\')
# 打印
   print(record)