我已经使用pandas成功读取了一个csv文件.当我尝试从数据框中打印特定列时,我得到了keyerror.因此,我正在与错误共享代码.
import pandas as pd
reviews_new = pd.read_csv("D:\\aviva.csv")
reviews_new['review']
**
reviews_new['review']
Traceback (most recent call last):
File "", line 1, in
reviews_new['review']
File "C:\Users\30216\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\frame.py", line 1997, in __getitem__
return self._getitem_column(key)
File "C:\Users\30216\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\frame.py", line 2004, in _getitem_column
return self._get_item_cache(key)
File "C:\Users\30216\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\generic.py", line 1350, in _get_item_cache
values = self._data.get(item)
File "C:\Users\30216\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\internals.py", line 3290, in get
loc = self.items.get_loc(item)
File "C:\Users\30216\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\indexes\base.py", line 1947, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas\index.pyx", line 137, in pandas.index.IndexEngine.get_loc (pandas\index.c:4154)
File "pandas\index.pyx", line 159, in pandas.index.IndexEngine.get_loc (pandas\index.c:4018)
File "pandas\hashtable.pyx", line 675, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12368)
File "pandas\hashtable.pyx", line 683, in pandas.hashtable.PyObjectHashTable.get_item (pandas\hashtable.c:12322)
KeyError: 'review'
**
有人可以帮助我吗?
解决方法:
我认为可能有2个问题(显然):
1.列名称中的空格(也可能是数据)
解决方案是列名称中的strip个空格:
reviews_new.columns = reviews_new.columns.str.strip()
或者将参数skipinitialspace添加到read_csv:
reviews_new = pd.read_csv("D:\\aviva.csv", skipinitialspace=True)
2.默认分隔符不同,
解决方法是添加参数sep:
#sep is ;
reviews_new = pd.read_csv("D:\\aviva.csv", sep=';')
#sep is whitespace
reviews_new = pd.read_csv("D:\\aviva.csv", sep='\s+')
reviews_new = pd.read_csv("D:\\aviva.csv", delim_whitespace=True)
编辑:
你在列名中得到空格,所以需要1.solutions:
print (reviews_new.columns.tolist())
['Name', ' Date', ' review']
^ ^
标签:python,dataframe,pandas