Question

现在，我分析了卡格尔的泰坦尼克号挑战。我的代码是这样的： code

但我的理想输出是： ideal output

所以，在我的上一个代码是

df["Age"].fillna(df.Age.median(), inplace=True)

发生错误

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/indexes/base.py in get_loc(self, key, method, tolerance)
   2133             try:
-> 2134                 return self._engine.get_loc(key)
   2135             except KeyError:

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)()

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13742)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13696)()

KeyError: 'Age'

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
<ipython-input-4-9763f0a9951c> in <module>()
----> 1 df["Age"].fillna(df.Age.median(), inplace=True)

/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2057             return self._getitem_multilevel(key)
   2058         else:
-> 2059             return self._getitem_column(key)
   2060 
   2061     def _getitem_column(self, key):

/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/core/frame.py in _getitem_column(self, key)
   2064         # get column
   2065         if self.columns.is_unique:
-> 2066             return self._get_item_cache(key)
   2067 
   2068         # duplicate columns & possible reduce dimensionality

/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
  1384         res = cache.get(item)
   1385         if res is None:
-> 1386             values = self._data.get(item)
   1387             res = self._box_item_values(item, values)
   1388             cache[item] = res

/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/core/internals.py in get(self, item, fastpath)
   3541 
   3542             if not isnull(item):
-> 3543                 loc = self.items.get_loc(item)
   3544             else:
   3545                 indexer = np.arange(len(self.items))[isnull(self.items)]

/Users/XXXi/anaconda/envs/py36/lib/python3.6/site-packages/pandas/indexes/base.py in get_loc(self, key, method, tolerance)
   2134                 return self._engine.get_loc(key)
   2135             except KeyError:
-> 2136                 return self._engine.get_loc(self._maybe_cast_indexer(key))
   2137 
   2138         indexer = self.get_indexer([key], method=method, tolerance=tolerance)

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:4433)()

pandas/index.pyx in pandas.index.IndexEngine.get_loc (pandas/index.c:4279)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13742)()

pandas/src/hashtable_class_helper.pxi in pandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13696)()

KeyError: 'Age'

我使用sep=','所以我真的不明白为什么这段代码不能在每个逗号中分开。我该如何解决这个问题？

我跟着一个回答，但错误发生了（我不知道为什么）

我的数据是

Answer 1

你的read_csv看起来很好，同一行的替换似乎造成了麻烦。

尝试首先将csv原样读入变量df。这样你的代码就会更清晰。

df = pd.read_csv('Desktop/data/train.csv',sep=',')
df['Sex'] = df['Sex'].map( {'female': 1, 'male': 0} )

但是你可以完全保留sep参数，因为逗号是标准分隔符

或者在将文件读入df并使用后，在新行上进行清洁并进行清洁 inplace=True：

df['Sex'].replace({'male': 0, 'female': 1}, inplace=True)

一般建议：

Kaggle网页支持内核部分中的脚本共享和注释。如果你被困在某个地方，试着看看它如何进行分析：

https://www.kaggle.com/c/titanic/kernels

Answer 2

<强>注意！

主要问题是下载数据。如果您遇到加载和处理Kaggle Titanic数据集的问题，您可以从here重新下载CSV并重新运行您的程序。

您可以传递delimiter=','：

df = pd.read_csv("Desktop/data/train.csv", delimiter=',')
print(df.head())

   PassengerId  Survived  Pclass  \
0            1         0       3   
1            2         1       1   
2            3         1       3   
3            4         1       1   
4            5         0       3   

                                                Name     Sex   Age  SibSp  \
0                            Braund, Mr. Owen Harris    male  22.0      1   
1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   
2                             Heikkinen, Miss. Laina  female  26.0      0   
3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   
4                           Allen, Mr. William Henry    male  35.0      0   

   Parch            Ticket     Fare Cabin Embarked  
0      0         A/5 21171   7.2500   NaN        S  
1      0          PC 17599  71.2833   C85        C  
2      0  STON/O2. 3101282   7.9250   NaN        S  
3      0            113803  53.1000  C123        S  
4      0            373450   8.0500   NaN        S  


print(df.columns)

Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',
       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],
      dtype='object')

接下来，您可以创建各种映射：

mapping = {'male' : 0, 'female' : 1}

您将致电pd.Series.replace：

df.Sex = df.Sex.replace(mapping)
print(df.Sex)

0    0
1    1
2    1
3    1
4    0
Name: Sex, dtype: int64

Pandas read_csv没有正确加载逗号分隔的CSV

2 个答案: