Python UnicodeEncodeError:&x27；ascii'；编解码器可以'；t编码字符u'\u201c'；使用utf-16将series对象转换为unicode时_Python_Python 2.7_Unicode_Pandas

Python UnicodeEncodeError:&x27；ascii'；编解码器可以'；t编码字符u'\u201c'；使用utf-16将series对象转换为unicode时

python python-2.7 unicode pandas

Python UnicodeEncodeError:&x27；ascii'；编解码器可以'；t编码字符u'\u201c'；使用utf-16将series对象转换为unicode时,python,python-2.7,unicode,pandas,Python,Python 2.7,Unicode,Pandas,我有一个utf-16 csv文件，我正试图加载到熊猫中。默认情况下，数据作为对象数据类型输入。我计划对caption列进行一些建模，因此我想将df列['caption']从一个对象转换为一个unicode字符串。当前，我在执行以下操作时遇到以下错误“UnicodeEncodeError:“ascii”编解码器无法对位置6:ordinal not in range（128）”中的字符u'\u201c'进行编码 df['caption']=df['caption'].astype（unicode）

我有一个utf-16 csv文件，我正试图加载到熊猫中。默认情况下，数据作为对象数据类型输入。我计划对caption列进行一些建模，因此我想将df列['caption']从一个对象转换为一个unicode字符串。当前，我在执行以下操作时遇到以下错误“UnicodeEncodeError:“ascii”编解码器无法对位置6:ordinal not in range（128）”中的字符u'\u201c'进行编码 df['caption']=df['caption'].astype（unicode）

我试图通过对df['caption']列中的各个值使用encode和decode函数来解决这个问题，但我无法让它工作

我对pandas和unicode非常陌生，所以我想知道是否有人知道我做错了什么

提前谢谢

特蕾莎

其他资料如下：

回溯如下：

UnicodeEncodeError: Traceback (most recent call last)
<ipython-input-5-aad36f4acf38> in <module>()
    10 print df['caption'].head(10)
    11 
---> 12 df['caption']=df['caption'].astype(unicode)

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/generic.pyc in astype(self, dtype, copy, raise_on_error)
   2016 
   2017         mgr = self._data.astype(
-> 2018             dtype, copy=copy, raise_on_error=raise_on_error)
   2019         return self._constructor(mgr).__finalize__(self)
   2020 

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/internals.pyc in astype(self, *args, **kwargs)
   2414 
   2415     def astype(self, *args, **kwargs):
-> 2416         return self.apply('astype', *args, **kwargs)
   2417 
   2418     def convert(self, *args, **kwargs):

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/internals.pyc in apply(self, f, *args, **kwargs)
   2373 
   2374             else:
-> 2375                 applied = getattr(blk, f)(*args, **kwargs)
   2376 
   2377             if isinstance(applied, list):

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/internals.pyc in astype(self, dtype, copy, raise_on_error, values)
    425     def astype(self, dtype, copy=False, raise_on_error=True, values=None):
    426         return self._astype(dtype, copy=copy, raise_on_error=raise_on_error,
--> 427                             values=values)
    428 
    429     def _astype(self, dtype, copy=False, raise_on_error=True, values=None,

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/internals.pyc in _astype(self, dtype, copy, raise_on_error, values, klass)
    442             # force the copy here
    443             if values is None:
--> 444                 values = com._astype_nansafe(self.values, dtype, copy=True)
    445             newb = make_block(values, self.items, self.ref_items,
    446                               ndim=self.ndim, placement=self._ref_locs,

/opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/core/common.pyc in _astype_nansafe(arr, dtype, copy)
  2222         return lib.astype_intsafe(arr.ravel(), dtype).reshape(arr.shape)
  2223     elif issubclass(dtype.type, compat.string_types):
   -> 2224         return lib.astype_str(arr.ravel()).reshape(arr.shape)
  2225 
  2226     if copy:

   /opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/lib.so in pandas.lib.astype_str (pandas/lib.c:12944)()

   /opt/anaconda/envs/np18py27-1.9/lib/python2.7/site-packages/pandas/lib.so in pandas.lib.astype_str (pandas/lib.c:12862)()

UnicodeEncodeError: 'ascii' codec can't encode character u'\u201c' in position 6: ordinal not in range(128)

import pandas as pd
import numpy as np

df = pd.read_csv('Chevrolet_4-7-2014_cvid_data.csv',encoding='utf-16',header=0,na_values=['N/A',''],names=['channel','link','title','posted','views','likes','dislikes','description','category','statdate','statviews','timewatched','averagetw','subsdriven','shares','caption'])
print df.head(5)
print df.dtypes


print df['caption'].head(10)

df['caption']=df['caption'].astype(unicode)

数据如下所示：

channel                                        link  \
0  Chevrolet  http://www.youtube.com/watch?v=dCayKZe6WvI   
1  Chevrolet  http://www.youtube.com/watch?v=IRXK35dPXbE   
2  Chevrolet  http://www.youtube.com/watch?v=XXdj4QMw748   
3  Chevrolet  http://www.youtube.com/watch?v=_ger32ROs94   
4  Chevrolet  http://www.youtube.com/watch?v=Chfm7Pou49k   
5  Chevrolet  http://www.youtube.com/watch?v=ySmEJyQ94BI   

                                           title       posted   views  \
0  Chevy Open House Event: From Our House to Your...  Apr  1 2014   73111   
1  Truck Towing Capabilities: 2014 Silverado -- #...  Mar 26 2014   11934   
2  Potholes at the Milford Proving Grounds: Tips ...  Mar 20 2014    8037   
3  Diesel Trucks: Heavy Duty Strengths -- 2015 Si...  Mar 20 2014   12096   
4  Captain America: All in a Day's Work -- 2014 T...  Mar 14 2014   93377   
5  Media Blasting: Camaro Engineering -- 2014 Cam...  Mar 13 2014  109931   

   likes  dislikes                                        description  \
0     43        13  In March over 100000 people visited our Chevy ...   
1    183        56  Farmer Dewayne Kleman and General Motors engin...   
2     58        10  Chevrolet vehicles are carefully designed to w...   
3    210         6  Introducing the all-new 2015 Silverado HD. The...   
4   1095        35  From saving the world to working on math homew...   

       category statdate  statviews timewatched averagetw  subsdriven  \
0  Autos & Vehicles      NaN        NaN         NaN       NaN         NaN   
1  Autos & Vehicles      NaN        NaN         NaN       NaN         NaN   
2  Autos & Vehicles      NaN        NaN         NaN       NaN         NaN   
3  Autos & Vehicles      NaN        NaN         NaN       NaN         NaN   
4  Autos & Vehicles      NaN        NaN         NaN       NaN         NaN   

   shares                                            caption  
0     NaN   The Chevy Spring Open House Sale the perfect ...  
1     NaN   0:03 A Man And His Truck And An Engineer / To...  
2     NaN   0:02 Severe Bump road sign 0:07 Pothole Facil...  
3     NaN   0:03 And there's no stronger Silverado than t...  
4     NaN   0:03 Are you doing anything fun Saturday nigh...  
5     NaN   0:05 Camaro Z/28 logo 0:07 Z/28 Bead Lock 0:0...  

[5 rows x 16 columns]
channel         object
link            object
title           object
posted          object
views           object
likes            int64
dislikes         int64
description     object
category        object
statdate        object
statviews      float64
timewatched     object
averagetw       object
subsdriven     float64
shares         float64
caption         object

dtype: object
0     The Chevy Spring Open House Sale the perfect ...
1     0:03 A Man And His Truck And An Engineer / To...
2     0:02 Severe Bump road sign 0:07 Pothole Facil...
3     0:03 And there's no stronger Silverado than t...
4     0:03 Are you doing anything fun Saturday nigh...
5     0:05 Camaro Z/28 logo 0:07 Z/28 Bead Lock 0:0...

Name: caption, dtype: object

您可以尝试将

dtype={'caption'：str}

添加到您的

read\u csv（）

调用中吗？比如：

df = pd.read_csv('Chevrolet_4-7-2014_cvid_data.csv',
     encoding='utf-16',
     header=0,
     na_values=['N/A',''],
     names=[...],
     dtype={'caption' : str})

顺便说一句，熊猫在这里默认使用

header=0

。虽然我看不到您的CSV，但使用

名称

关键字参数可能是多余的，因为如果这些列名位于CSV的第0行，熊猫将自动使用这些列名。但不管怎样，如果另一件事对你有效，请告诉我。：）

你确定它还不是utf-16吗？您在读取csvWell时指定了它，因为执行

df['caption'].dtype

返回对象作为数据类型…所以我不确定。最后，我想在nltk和sci kit learn中运行数据帧，以进行一些预测建模，因此我想确保我有正确的数据类型

object

是非整数类型numpy的通用

dtype

，因此它很可能是，也可能仍然是utf-16字符串