Question

我的要求是我有两个CSV文件，我需要在两个文件的最后一列上进行比较和执行操作。我正在使用pandas打开两个CSV文件，当我打开第二个CSV文件并尝试访问任何列时返回错误。

import pandas as pd1
import pandas as pd

# comma delimited is the default
df = pd.read_csv("results.csv", header = 0)

spamColumnValues=df['isSpam'].values

df1=pd1.read_csv("compare.csv",header=0)

spamCompareValues=df1['isSpam'].values

收到错误

  File "/Library/Python/2.7/site-packages/pandas/core/frame.py", line 1964, in __getitem__
    return self._getitem_column(key)

  File "/Library/Python/2.7/site-packages/pandas/core/frame.py", line 1971, in _getitem_column
    return self._get_item_cache(key)

  File "/Library/Python/2.7/site-packages/pandas/core/generic.py", line 1645, in _get_item_cache
    values = self._data.get(item)

  File "/Library/Python/2.7/site-packages/pandas/core/internals.py", line 3590, in get
    loc = self.items.get_loc(item)

  File "/Library/Python/2.7/site-packages/pandas/core/indexes/base.py", line 2444, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))

  File "pandas/_libs/index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280)

  File "pandas/_libs/index.pyx", line 154, in pandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)

  File "pandas/_libs/hashtable_class_helper.pxi", line 1210, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20523)

  File "pandas/_libs/hashtable_class_helper.pxi", line 1218, in pandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20477)

KeyError: 'isSpam'

任何人都可以指出我的错误，或者用熊猫做不到这个吗？

可以在

找到两个csv文件

https://drive.google.com/file/d/0B3XlF206d5UrUENtZlcwd0pVLW8/view?usp=sharing

https://drive.google.com/file/d/0B3XlF206d5UrbGdJRFM5TURmejQ/view?usp=sharing

Answer 1

问题是您在compare.csv中没有名为“isSpam”的列。您需要将header=None传递给pd.read_csv()，否则您将以标题捕获第一个观察结果：

df1=pd1.read_csv("compare.csv",header=None)

并且因为列看起来是相同的：

df1.columns = df.columns

无法在同一个python程序中打开多个csv文件

1 个答案: