在MySQL上使用pandas方法to_sql时的另一个UnicodeEncodeError [英] Another UnicodeEncodeError when using pandas method to_sql with MySQL
问题描述
I posted on stack overflow a few days ago with a similar problem (which was solved), and I'm not sure what the proper etiquette is here, but I'm making a new post.
基本上,当我尝试将pandas DataFrame写入MySQL数据库时,出现了UnicodeEncodeError.我可以使用以下代码重现该错误:
Basically, I am getting a UnicodeEncodeError when I try to write a pandas DataFrame to a MySQL database. I can reproduce the error with the following code:
import pandas as pd
from sqlalchemy import create_engine
engine = create_engine('mysql://root:@localhost/testdb')
df = pd.DataFrame([[u'\u2013',2],['e',4]], index = ['a','b'], columns = ['c','d'])
df.to_sql('data', engine, if_exists = 'replace', index = False)
这是错误:
UnicodeEncodeError: 'latin-1' codec can't encode character u'\u2013' in position 0: ordinal not in range(256)
这是回溯的最后相关行:
And this is the last relevant line of the traceback:
C:\Anaconda\lib\site-packages\sqlalchemy\dialects\mysql\mysqldb.pyc in do_executemany(self, cursor, statement, parameters, context)
93
94 def do_executemany(self, cursor, statement, parameters, context=None):
---> 95 rowcount = cursor.executemany(statement, parameters)
96 if context is not None:
97 context._rowcount = rowcount
当我之前遇到此问题时,这是由于pandas.io.sql中的错误所致,而解决方法是更改
When I was having this issue before, it was due to a bug in pandas.io.sql, and the fix was to change a few lines of code. This worked fine until I encountered characters outside the range of the latin-1 codec.
你们有什么建议吗?
推荐答案
好吧,在发布我的问题后的一个小时内,我已经知道了.在发布之前,也许我应该做更多的研究.
Well, within an hour of posting my question, I already figured it out. Maybe I should have done a bit more research before posting.
问题在于需要将sqlalchemy配置为使用utf-8编码.上面代码中的解决方案是将第3行更改为:
The problem is that sqlalchemy needs to be configured to use utf-8 encoding. The solution in the above code would be to change line 3 to:
engine = create_engine('mysql://root:@localhost/testdb?charset=utf8', encoding = 'utf-8')
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