我使用utf-8编码在Pandas Dataframe中成功读取了一个Csv文件，但是在Dataframe上打印操作结果（在这种情况下，交叉表）会失败，因为UnicodeEncodeError'ascii'编解码器无法编码字符u'\ xb0' - 我应该在打印此中间数据帧之前再次编码/解码（下面的示例代码中为“p”）
import pandas as pd
filehandle='/home/ekta/Desktop/test_data/df_30.csv'
df0 = pd.read_csv(filehandle,skiprows=0, sep=',', encoding='utf-8',nrows=100)
df=df0[['country', 'appname']]
p=pd.crosstab(df['appname'], df['country'], rownames=['appname'], colnames=['country'])
print p #errr while printing this Dataframe
""" Data frame read was success, both for df0 & df, but cross tab fails with and the error that I get *"UnicodeEncodeError: 'ascii' codec can't encode character u'\xb0' in position 13: ordinal not in range(128)"*. See "p" below """
#The dataframe, df looks like this
country appname
0 SGP Android Skout New
2 SGP Android Skout New
3 SGP Android Skout New
7 SGP Guess The Emoji - Android
14 SGP ScoreMobile Android
15 IDN Android Skout New
16 IND Truecaller - Caller ID & Block
19 IDN Indonesia News
....More ... <Chopped>
251 IDN 'Anonymous healthcare_and_fitness App cflw`2B2[h1s`lNzF@sPC1FtaCji:6kTF@']
272 SGP '(old) Weather\xc2\xb0'
# note the last two entries in this sample , there are more of these.
既然df的“读取”是成功的，这就是我想要理解的 - ：
在将"Series"对象 (df['appname']) 传递给交叉表之前
-
Should I be doing the encode-> decode ？类似于
df['country'].encode('utf-8').decode('utf-8')[虽然这不是一个有效的语法] -
下面的片段转换为df - 这让我想到了问题， WHY ?
df0 ['country'] = df0 ['country'] . astype（unicode）
DF0 [ '国家']
0 S.
2 S.
3 S.
7 S.
14 S.
15我
16我
19我
21我
22我
25我
37我
41 S.
43我
My main question : 在我提供编码为"utf-8"之后，csv读取成功的帖子，为什么在我做交叉表时需要再次编码？我究竟做错了什么 ？
Note that the creation of "p" the dataframe from the pd.crosstab is NOT a problem, 只是"print p" . 我使用p作为中间对象，但想知道如何打印这个DataFrame - 我应该使用（1）技术吗？