Python CSV阅读器将Row作为列表 [英] Python CSV reader return Row as list
问题描述
我试图使用python解析CSV,并希望能够在一行中索引项,以便可以使用 row [0]
, row [1]
等等。
Im trying to parse a CSV using python and would like to be able to index items in a row so they can be accessed using row[0]
, row[1]
and so on.
到目前为止,这是我的代码:
So far this is my code:
def get_bitstats():
url = 'http://bitcoincharts.com/t/trades.csv?symbol=mtgoxUSD'
data = urllib.urlopen(url).read()
dictReader = csv.DictReader(data)
obj = BitData()
for row in dictReader:
obj.datetime = datetime.datetime.fromtimestamp(int(row['0'])/1000000)
q = db.Query(BitData).filter('datetime', obj.datetime)
if q != None:
raise ValueError(obj.datetime + 'is already in database')
else:
obj.price = row['1']
obj.amount = row['2']
obj.put()
KeyError:'0',我不知道如何设置它。我没有将它输入到交互式shell中,当为dictReader中的行运行
This returns KeyError: '0'
and I have no idea how to set it up. I did input this into an interactive shell and when running
for row in dictReader:
print row
我得到这个作为输出:
{'1': '3'}
{'1': '6'}
{'1': '2'}
{'1': '6'}
{'1': '9'}
{'1': '8'}
{'1': '6'}
{'1': '4'}
{'1': '4'}
{'1': '', None: ['']}
{'1': '4'}
{'1': '2'}
{'1': '.'}
{'1': '0'}
{'1': '5'}
{'1': '7'}
{'1': '1'}
{'1': '6'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '', None: ['']}
{'1': '0'}
{'1': '.'}
{'1': '0'}
{'1': '1'}
{'1': '0'}
{'1': '0'}
{'1': '5'}
{'1': '4'}
{'1': '2'}
{'1': '5'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '0'}
{'1': '1'}
{'1': '3'}
{'1': '6'}
{'1': '2'}
{'1': '6'}
{'1': '9'}
{'1': '8'}
{'1': '6'}
{'1': '4'}
{'1': '4'}
数千行。 (因为我确定CSV是数千位数)
and on and on for thousands and thousands of lines. ( as Im sure the CSV is thousands of digits)
为什么我的CSV打印这种方式,并有反正将一行分成3 ints
,例如[130534543,47.00009,23001.9000]
Why is my CSV printing this way and is there anyway to separate a row into a list of 3 ints
such as [130534543, 47.00009, 23001.9000]
编辑:
因为答案状态我在上面的代码使用错误的csv函数,但即使修复它给了我一个列表的列表本身是与dict相同的格式,如:
as the Answer states I was using the wrong csv function in my code above but even though fixing it gave me a list the list itself was in the same format as the dict such that:
['1']
['2']
['1']
['3']
['8']
['3']
['5']
.
.
.
原来我也不得不删除 .read code>从
data = urllib.urlopen(url).read()
。
推荐答案
csv.reader
将以列表形式返回每一行
csv.reader
will return each row as a list
reader = csv.reader(data)
for line_list in reader:
pass
# line_list is a list of the data contained in a row so you can access line_list[0]
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