pandas 我怎样才能捕捉到熊猫数据错误？
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How can I catch a pandas DataError?
提问by A User
I have since fixed the bug that caused the DataError, but I can not for the life of me figure out how to catch it explicitly:
我已经修复了导致 DataError 的错误，但我终生无法弄清楚如何明确捕获它：
try:
df["my column"] = df.baddata + df.morebaddata
except DataError:
print "Caught Error!"
Gives: NameError: name 'DataError' is not defined
给出： NameError: name 'DataError' is not defined
Then I tried pd.core.frame.DataErrorand received an AttributeError. I also tried Googling this but could not find a list of pandas error types. What is the correct path for DataError?
然后我尝试pd.core.frame.DataError并收到了AttributeError. 我也试过谷歌搜索这个，但找不到Pandas错误类型的列表。什么是正确的路径DataError？
采纳答案by Christian O'Reilly
For Pandas<=0.22 (previous answer was given for Django), the solution is as proposed by @henrique-marciel but with the Pandas import. So
对于 Pandas<=0.22（先前的答案是针对 Django 给出的），解决方案是由 @henrique-marciel 提出的，但使用 Pandas 导入。所以
from pandas.core.groupby import DataError
and add the exception
并添加例外
except DataError:
For Pandas>=0.23, as noted by ytu, the API changed and the following import should be used instead:
对于 Pandas>=0.23，如 ytu 所述，API 已更改，应改为使用以下导入：
from pandas.core.groupby.groupby import DataError
回答by Henrique Maciel
I had the same problem, you can solve as follows:
我有同样的问题，你可以解决如下：
from django.db import DataError
Add the exception
添加例外
except DataError:
I managed to solve this way, below is the link of the documentation.
我设法以这种方式解决，下面是文档的链接。
