将pandas dataframe转换为utf8

Question

如何将pandas数据帧转换为unicode？

`messages=pandas.read_csv('data/SMSSpamCollection',sep='\t',quoting=csv.QUOTE_NONE,names=["label", "message"])
def split_into_tokens(message):
  message = unicode(message, 'utf8')  # convert bytes into proper unicode
  return TextBlob(message).words


messages.head().apply(split_into_tokens(messages))`

它给出了错误

Traceback (most recent call last):
File "minor.py", line 46, in <module>
messages.head().apply(split_into_tokens(messages))
File "minor.py", line 42, in split_into_tokens
message = unicode(message, 'utf8')  # convert bytes into proper unicode
TypeError: coercing to Unicode: need string or buffer, DataFrame found

Answer 1

Df.x.str.encode( 'UTF-8')

将解决您的问题.

http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.encode.html

Answer 2

更改代码

messages.head().apply(split_into_tokens(messages))

到

messages.head().apply(split_into_tokens)

当使用“apply”与像您的情况一样的函数时，不需要传递参数，因为您的代码显示它正在传递一个在执行时出错的数据帧。