我尝试从csv文件读取数据,但出现以下错误:
ValueError Traceback (most recent call last)
<ipython-input-15-d27c936e2293> in <module>()
11 for row in header:
12 # row = [Date, Open, High, Low, Close, Volume, Adj. close]
---> 13 date = datetime.strptime(row[0], '%m/%d/%Y')
14 open_price = float(row[1])
15 high = float(row[2])
~/anaconda3/lib/python3.6/_strptime.py in _strptime_datetime(cls, data_string, format)
563 """Return a class cls instance based on the input string and the
564 format string."""
--> 565 tt, fraction = _strptime(data_string, format)
566 tzname, gmtoff = tt[-2:]
567 args = tt[:6] + (fraction,)
~/anaconda3/lib/python3.6/_strptime.py in _strptime(data_string, format)
360 if not found:
361 raise ValueError("time data %r does not match format %r" %
--> 362 (data_string, format))
363 if len(data_string) != found.end():
364 raise ValueError("unconverted data remains: %s" %
ValueError: time data 'D' does not match format '%m/%d/%Y'
下面是我的代码:
import csv
from datetime import datetime
path ="google_stock_data.csv"
file = open (path, newline = '')
reader = csv.reader(file)
header = next (reader)
data = []
for row in header:
# row = [Date, Open, High, Low, Close, Volume, Adj. close]
date = datetime.strptime(row[0], '%m/%d/%Y')
open_price = float(row[1])
high = float(row[2])
low = float(row[3])
close = float(row[4])
volume = float(row[5])
adj_close = float(row[6])
data.append([date, open_price, high, low, close, volume, adj_close])
print(data[0])
注意:文件中的数据如下所示:
Date Open High Low Close Volume Adj Close
8/19/14 585.002622 587.342658 584.002627 586.862643 978600 586.862643
8/18/14 576.11258 584.512631 576.002598 582.162619 1284100 582.162619
8/15/14 577.862619 579.382595 570.522603 573.482626 1519100 573.482626
8/14/14 576.182596 577.902645 570.882599 574.652582 985400 574.652582
为什么会这样?数据没有被转换成正确的类型吗?请帮助。我该如何修复它?
- 谢谢-谢谢
1条答案
按热度按时间zazmityj1#
您的示例代码很接近,但存在一些问题:首先,for循环中有一个排印错误,它应该是
其次,看起来datetime解析器不支持月份和日期不填零的日期格式。因此,使用dateutil.parser:
最后,csv不喜欢字段之间有多个空格,但是你可以定义自己的方言来解决这个问题:
skipinitialspace将占用字段之间的多余空格