Question

在Linux上的[GCC 7.4.0]上的Python 3.7.3中运行以下代码：进口的Numpy，seaborn，pandas，sklearn，matplotlib。

尝试使用dictwriter和writerow编写一个csv文件，然后使用简单的ML代码对其进行分析，但我一直遇到错误。

删除“禁运”时，“票价”成为KeyError。

Csv文件：

PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
    1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
    2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs 
 Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
    3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
    4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S

这是我的ML代码，我不断收到错误消息：

for dataset in train_test_data:
    dataset['Embarked'] = dataset['Embarked'].fillna('S')

# mapping the 'Embarked'
embarked_mapping = {'S': 0, 'C': 1, 'Q':2}

for dataset in train_test_data:
    dataset['Embarked'] = dataset['Embarked'].map(embarked_mapping)

# filling missing fare
train['Fare'].fillna(train.groupby('Pclass')['Fare'].transform('median'), inplace=True)
test['Fare'].fillna(train.groupby('Pclass')['Fare'].transform('median'), inplace=True)

for dataset in train_test_data:
    dataset.loc[ dataset['Fare'] <= 17, 'Fare'] = 0,
    dataset.loc[(dataset['Fare'] > 17) & (dataset['Fare'] <= 30), 'Fare'] = 1,
    dataset.loc[(dataset['Fare'] > 30) & (dataset['Fare'] <= 100), 'Fare'] = 2,
    dataset.loc[dataset['Fare'] > 100, 'Fare' ] = 3

错误

Traceback (most recent call last):
    File "/usr/local/lib/python3.7/site- packages/pandas/core/indexes/base.py", line 2657, in get_loc
return self._engine.get_loc(key)
  File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Embarked'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 2446, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1951, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1820, in handle_user_exception
reraise(exc_type, exc_value, tb)
  File "/usr/local/lib/python3.7/site-packages/flask/_compat.py", line 39, in reraise
raise value
  File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1949, in full_dispatch_request
rv = self.dispatch_request()
  File "/usr/local/lib/python3.7/site-packages/flask/app.py", line 1935, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
  File "/home/ubuntu/project/application.py", line 44, in get_sheet
if main():
  File "/home/ubuntu/project/helpers.py", line 80, in main
dataset['Embarked'] = dataset['Embarked'].fillna('S')
  File "/usr/local/lib/python3.7/site-packages/pandas/core/frame.py", line 2927, in __getitem__
indexer = self.columns.get_loc(key)
  File "/usr/local/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 2659, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Embarked'

有人碰巧知道怎么了吗？

pandas._libs.hashtable.PyObjectHashTable.get_item KeyError：''

0 个答案: